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Journal articles on the topic 'Transportation Network analysis (Planning) Mathematical optimization'
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1
Zeng, Mingbin, Xu Yang, Mengxing Wang, and Bangjiang Xu. "Application of Angle Related Cost Function Optimization for Dynamic Path Planning Algorithm." Algorithms 11, no. 8 (August 15, 2018): 127. http://dx.doi.org/10.3390/a11080127.
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In recent years, Intelligent Transportation Systems (ITS) have developed a lot. More and more sensors and communication technologies (e.g., cloud computing) are being integrated into cars, which opens up a new design space for vehicular-based applications. In this paper, we present the Spatial Optimized Dynamic Path Planning algorithm. Our contributions are, firstly, to enhance the effective of loading mechanism for road maps by dividing the connected sub-net, and building a spatial index; and secondly, to enhance the effect of the dynamic path planning by optimizing the search direction. We use the real road network and real-time traffic flow data of Karamay city to simulate the effect of our algorithm. Experiments show that our Spatial Optimized Dynamic Path Planning algorithm can significantly reduce the time complexity, and is better suited for use as a real-time navigation system. The algorithm can achieve superior real-time performance and obtain the optimal solution in dynamic path planning.
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Sun, Yan, Xia Liang, Xinya Li, and Chen Zhang. "A Fuzzy Programming Method for Modeling Demand Uncertainty in the Capacitated Road–Rail Multimodal Routing Problem with Time Windows." Symmetry 11, no. 1 (January 15, 2019): 91. http://dx.doi.org/10.3390/sym11010091.
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Demand uncertainty is an important issue that influences the strategic, tactical, and operational-level decision making in the transportation/logistics/supply chain planning. In this study, we explore the effect of demand uncertainty on the operational-level freight routing problem in the capacitated multimodal transportation network that consists of schedule-based rail transportation and time-flexible road transportation. Considering the imprecise characteristic of the demand, we adopt fuzzy set theory to model its uncertainty and use trapezoidal fuzzy numbers to represent the fuzzy demands. We set multiple transportation orders as the optimization object and employ soft time windows to reflect the customer requirement on on-time transportation. Under the above situation, we establish a fuzzy mixed integer nonlinear programming (FMINLP) model to formulate the capacitated road–rail multimodal routing problem with demand uncertainty and time windows. We first use the fuzzy expected value model and credibility measure based fuzzy chance-constrained programming to realize the defuzziness of the model and then adopt linearization technique to reformulate the crisp model to finally generate an equivalent mixed integer linear programming (MILP) model that can be solved by standard mathematical programming software. Finally, a numerical case is presented to demonstrate the feasibility of the proposed method. Sensitivity analysis and fuzzy simulation are combined to quantify the effect of demand uncertainty on the routing problem and also reveal some helpful insights and managerial implications.
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Grudz, Volodymyr, Yaroslav Grudz, Vasyl Zapukhliak, Ihor Chudyk, Lubomyr Poberezhny, Nazar Slobodyan, and Vitaliy Bodnar. "Optimal Gas Transport Management Taking into Account Reliability Factor." Management Systems in Production Engineering 28, no. 3 (September 1, 2020): 202–8. http://dx.doi.org/10.2478/mspe-2020-0030.
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AbstractIn the period of shortage of gas supply, special attention is given to reducing the supply of gas to its consumers, that is, their complete and uninterrupted gas supply. Increasing gas losses associated with technological transportation costs, in particular caused by gas flow instability and frequent changes in gas transmission network operating modes. Considering losses due to unreliability of gas pumping is one of the important tasks of gas supply optimization. The purpose of the study is to develop an optimization mathematical model that will simultaneously take into account the factors of reliability and minimum lossesIn the general case, the optimization calculations of the modes of operation of the main gas pipelines are intended to solve three main problems: determining the maximum productivity, calculating the optimal mode with a given productivity and choosing the optimal strategy, the development of the pipeline. On the basis of approaches of simulation modeling of complex systems, a multi-parameter mathematical model of gas supply process optimization was developed. It is shown that a comparative analysis of the forecast and actual indicators of the operating modes of the plunger gas pumping unit shows their satisfactory convergence. The performance of the compressor operation period in the process of injection according to the forecast deviates from the actual value for the whole period of operation of the plunger gas pumping unit in 2016 by 2.98%. The optimization problem of gas pumping planning is considered, taking into account the expected losses, on the basis of which the transfer of the controlled system from the initial state to the final one is carried out by such a sequence of states that minimizes the total cost of the system evolution.
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Movaghar, Sara, Mahmoud Mesbah, and Meeghat Habibian. "Optimum Location of Autonomous Vehicle Lanes: A Model Considering Capacity Variation." Mathematical Problems in Engineering 2020 (May 12, 2020): 1–13. http://dx.doi.org/10.1155/2020/5782072.
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This paper proposes a model to find the optimal location of autonomous vehicle lanes in a transportation network consisting of both Autonomous Vehicles (AVs) and Human-Driven Vehicles (HDVs) while accounting for the roadway capacity variation. The main contribution of the model is considering a generalized definition of capacity as a function of AV proportion on a link and incorporating it into the network design problem. A bilevel optimization model is proposed with total travel time as the objective function to be minimized. At the upper-level problem, the optimal locations of AV lanes are determined, and at the lower level which is a multiclass equilibrium assignment, road users including both AVs and HDVs seek to minimize their individual travel times. It is shown that if capacity variation is ignored, the effect of AV lane deployment can be misleading. Since there will be a long transition period during which both AVs and HDVs will coexist in the network, this model can help the network managers to optimally reallocate the valuable road space and better understand the effects of AV lane deployment at the planning horizon as well as during the transition period. Employing this model as a planning tool presents how the proposed AV lane deployment plan could consider the AV market penetration growth during the transition period. Numerical analysis based on the Sioux Falls network is presented in two cases with and without variable capacity to illustrate the application of this model. At the 60% penetration rate of AVs, the improvement in total travel time was 3.85% with a fix capacity while this improvement was 9.88% with a variable capacity.
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Butko, T. V., V. M. Prokhorov, L. O. Parkhomenko, and A. O. Prokopov. "Improvement of Technology of Passenger Intermodal Transportation with Involvement of Railway Transport in the Conditions of Tourism Development." Science and Transport Progress. Bulletin of Dnipropetrovsk National University of Railway Transport, no. 1(91) (February 15, 2021): 37–50. http://dx.doi.org/10.15802/stp2021/228106.
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Purpose. The main purpose of the authors is to define and methodically substantiate the ways to increase the efficiency of intermodal passenger transportations with the involvement of high-speed trains as an auxiliary mode of transport in terms of sea and river tourism. Methodology. In the process of research the following was used: the method of factor analysis – to determine the factors influencing the attractiveness of tourist travel using high-speed trains as ancillary transport; method of skipping stops – to increase the efficiency of using high-speed trains as an auxiliary mode of transport when making tourist trips; methods of construction and training of generative-adversarial networks for the formation of model of passenger flows forecasting, on the basis of historical data of multivariate time series; method of genetic algorithms – to optimize the model of mixed-integer programming, which allows obtaining the optimal scheme of high-speed trains on the line. Findings. In order to preserve the attractiveness of tourist travels and increase the route speed of trains, it is proposed to improve the technology of planning their work based on the method of skipping stops. A mathematical model of mixed-integer programming has been formed, which simultaneously provides the attractiveness of tourist travel and profitability for railway operators. To prepare the initial data, a method for forecasting passenger flows based on multivariate time series has been developed. The optimization procedure of the generated model was implemented in the form of software in the Matlab language. Originality. The method of skipping stops, which was first used to improve the technology of intermodal passenger traffic, was further developed in the work. An original method for predicting passenger flows based on multivariate time series using a modern model of generative-competitive neural networks is proposed. Practical value. The obtained results are aimed at improving the methodological approaches to the formation of modern technologies of intermodal passenger transportation and the realization of the potential of high-speed rail transportations as a basis for the comprehensive development of tourism.
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Mnif, Mouna Gargouri, and Sadok Bouamama. "Multi-Objective Optimization Methods for Transportation Network Problems." International Journal of Operations Research and Information Systems 11, no. 1 (January 2020): 1–36. http://dx.doi.org/10.4018/ijoris.2020010101.
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This article recapitulates literature research solving transportation problems and these variants, notably the multimodal transportation problems variants. Moreover, the existing optimization methods critiqued and synthesized their efficiency to solve the transportation problem. This problem can be identified by various criteria and objectives functions that distinguished according to the case study. Based on the existing literature research, a taxonomy is proposed to distinguish different factors and criteria that perform and influence the multi-objective optimization on the transportation network planning problems. The transportation problems are cited according to these objective functions, and the variant of the problem by referring to the previous studies. In this article, the authors have focused their attention on a recent multi-objective mathematical model to solve the planning network of the multimodal transportation problem.
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Liu, Fengxian, and Kelvin C. P. Wang. "Pavement Performance-Oriented Network Optimization System." Transportation Research Record: Journal of the Transportation Research Board 1524, no. 1 (January 1996): 86–93. http://dx.doi.org/10.1177/0361198196152400110.
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The objective of the current network optimization system (NOS) model used by the Arizona Department of Transportation is to minimize the annual cost over the planning period. An NOS model with the objective of maximizing a network's pavement performance is presented. In this performance-oriented NOS, the annual budget is given as a constraint that is distributed evenly over the planning period. This NOS model aims to provide an approach simulating a possible scenario in a state department of transportation by effectively using a given budget in the planning period. At the same time the performance of the pavement network is also maximized. In relation to annual budget and pavement condition, two types of analysis are conducted: in the first analysis, only annual budget is applied as the constraint for this model; in the second, both annual budget and pavement performance requirements are introduced as the constraints. The necessary minimum annual budgets for various pavement performance requirements are compared; using the results, a rational annual budget for the needed pavement performance standards can be obtained, which may be used as decision support data for future budget allocation.
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Bajracharya, Aprin, and Amrit Man Nakarmi. "Public Transportation Energy Planning by Network Analysis-A Case Study of Kathmandu Valley." Journal of Advanced College of Engineering and Management 6 (July 6, 2021): 9–21. http://dx.doi.org/10.3126/jacem.v6i0.38273.
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This paper is an attempt to find out the required optimum number of vehicles in the Top Ten Routes of Kathmandu Valley which was found from the 163 number of routes of our study on the basis of total travel demand measured in passenger-km per year. The transportation optimization model has been prepared on the Microsoft-Excel Spreadsheet & the optimization of distribution of vehicles is done by using Premium Solver. The results clearly show that the requirement of buses at some routes was less than the available buses plying on the route & the requirement of buses at some routes was more than the available buses plying on the route. The optimization is done on the basis of least cost methods fulfilling the travel demands of flow of passengers at different interval of time in a day at each route of our study. More number of required vehicles in the optimized scenario in the route means more transportation cost, more energy consumption & more environmental emissions than the present scenario & Lesser number of required vehicles in the optimized scenario in the route means lesser transportation cost, lesser energy consumption & lesser environmental emissions than the present scenario.
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Aleksejevs, Ruslans, Raufs Guseinovs, Alexander N. Medvedev, and Sharif E. Guseynov. "Groupage Cargo Transportation Model." Transport and Telecommunication Journal 17, no. 1 (March 1, 2016): 60–72. http://dx.doi.org/10.1515/ttj-2016-0007.
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Abstract In this work we consider a specific problem of optimal planning of maritime transportation of multiproduct cargo by ships of one (corporate strategy) or several (partially corporate strategy) companies: the core of the problem consists of the existence of the network of intermediate seaports (i.e. transitional seaports), where for every ship arrived the cargo handling is done, and which are situated between the starting and the finishing seaports. In this work, there are mathematical models built from scratch in the form of multicriteria optimization problem; then the goal attainment method of Gembicki is used for reducing the built models to a one-criterion problem of linear programming.
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Vorobyov, Valery, Aleksey Manakov, Anatoly Reger, and Iuliia Tanaino. "Optimization of processes in railways based on the cost management model." MATEC Web of Conferences 216 (2018): 02009. http://dx.doi.org/10.1051/matecconf/201821602009.
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The main aim of activities of the branches of vertically integrated Russian Railways JSC is enhancing of manageability and efficiency of business operations. At the current stage, the issue of optimization of costs for product transportation and facilities maintenance in the system of production and technological processes of the railway network has gained relevance. The purpose of this study is development of a mathematical model for the logistic system of transportation, storage, cargo-handling operations, facilities maintenance and reconstruction. Methods of spatial and dynamic modeling in the structure of end-to-end planning of operations were used in the study. Optimization criterion is aggregate cost minimization. Cost function is proposed in the form of local functions of multiple sections along the railway network. The modeling result consists in determining the plans of transportation and supply with minimum costs.
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Nakandala, Dilupa, Henry Lau, and Jingjing Zhang. "Optimization model for transportation planning with demand uncertainties." Industrial Management & Data Systems 114, no. 8 (September 2, 2014): 1229–45. http://dx.doi.org/10.1108/imds-06-2014-0192.
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Purpose – The purpose of this paper is to investigate the total cost function of an inventory system with a reorder point/order quantity policy where the lead time is controllable based on the cost paid by the buyer for the service. Design/methodology/approach – Cost functions are presented to investigate how the changes in lead time affect different components of inventory cost in the present of random demand. Two methods including an iteration technique and Simulated Annealing (SA) algorithm are presented to deal with the cost optimization issue. The application of proposed model is illustrated using numerical case scenarios. Findings – The cost functions show that besides ordering cost, change in stochastic demand during lead time is the major factor that affects the other cost components such as holding and penalty costs. This finding is validated by numerical study. Results also show that performance of SA algorithm is highly similar to iteration methodology, while the former one is easier in application. Practical implications – This paper develops less complex, more pragmatic methods, easily adoptable by logistics managers for cost minimization. This paper also analyzes and highlights the unique characteristics and features of these two approaches that can help practitioners in making the right choice when faced with the identified logistics issue. Originality/value – This research explicitly investigate impacts of changing lead time on inventory cost components which enables informed decision making and inventory system planning for cost optimization by logistics practitioners. Two methodologies that can be easily used by practitioners without deep mathematical analysis and is cost effective are introduced to solve the optimization problem. Detailed roadmaps of how to implement proposed approaches have been illustrated by different case scenarios.
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Figueroa, Miguel, Otto Mora Lerma, Ricardo Fuentes, and Alfredo Ojeda. "Multimodal movement planning: logistics network and analysis of transportation alternatives. study case." International Journal of Engineering & Technology 8, no. 4 (November 10, 2019): 559. http://dx.doi.org/10.14419/ijet.v8i4.29975.
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One of the most relevant problems in transport engineering is the planning of multimodal movements where it is necessary to define the logistics network. To analyze the logistics of a foreign trade operator in Colombia, a mathematical model has been designed for the choice of ports, considering multimodal transport and the state of the art. Initially, a multimodal network was built considering modes of maritime, river, rail and road transport, taking advantage of the main river of Colombia (Magdalena river) and the railway infrastructure. Port operating costs, transshipment, port fees, sea freight, operational and variable costs were included in the analysis. It was found that the most suitable ports in Colombia for export are Cartagena and Buenaventura, with the current infrastructure and demand. It has been found that multimodal arcs are more used than those with a single mode, in addition to exports to Ecuador being made by Buenaventura, while to America and Europe is Cartagena. Additionally, there is sensitivity in the choice of ports concerning the level of prices of road transport since in the Colombian context it is vital to change transfers due to the lack of connectivity between modes such as rail and river.
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Mariñas-Collado, Irene, Elisa Frutos Bernal, Maria Teresa Santos Martin, Angel Martín del Rey, Roberto Casado Vara, and Ana Belen Gil-González. "A Mathematical Study of Barcelona Metro Network." Electronics 10, no. 5 (February 27, 2021): 557. http://dx.doi.org/10.3390/electronics10050557.
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The knowledge of the topological structure and the automatic fare collection systems in urban public transport produce many data that need to be adequately analyzed, processed and presented. These data provide a powerful tool to improve the quality of transport services and plan ahead. This paper aims at studying, from a mathematical and statistical point of view, the Barcelona metro network; specifically: (1) the structural and robustness characteristics of the transportation network are computed and analyzed considering the complex network analysis; and (2) the common characteristics of the different subway stations of Barcelona, based on the passenger hourly entries, are identified through hierarchical clustering analysis. These results will be of great help in planning and restructuring transport to cope with the new social conditions, after the pandemic.
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Xu, Junxiang, Jingni Guo, Yongdong Sun, Qiuyu Tang, and Jin Zhang. "Why China must build Sichuan-Tibet railway: From the perspective of regional comprehensive transportation network optimization." Journal of Intelligent & Fuzzy Systems 40, no. 5 (April 22, 2021): 9741–63. http://dx.doi.org/10.3233/jifs-202276.
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We not only firstly applied the theory of hub-and-spoke network to the field of integrated transportation network planning, but also combined our proposed method with Sichuan-Tibet railway, one of super large projects in China, to discuss the optimization and the layout of hub-and-spoke integrated transportation network along the Sichuan-Tibet railway after it is put into operation in the future and put forward some directional policy recommendations. In our study, we have made clear the topological structure of the multi hub and single allocation hybrid hub-and-spoke integrated transportation network in the passenger transportation corridors, established the integer programming model aiming at the minimum generalized travel cost in the network, and we designed the simulated annealing algorithm to solve this problem. In the empirical study, we find that if 5 nodes are selected as hub nodes in hub-and-spoke integrated transportation network, the generalized cost of network travel will be minimized and these specific location of 5 hub nodes can be determined by the selecting principle of hub nodes location, which we proposed in our study. The simulated annealing algorithm can help us to find the connection relationship between nodes. Then we can achieve three types of hub-and-spoke integrated transportation network layout patterns with railway, highway and aviation as the hub nodes. Though further comparative analysis, we find that it is more feasible to choose the integrated transportation network with railway nodes as the hub in transportation organization. Based on this understanding, we put forward policy recommendations on transportation organization to support high-quality planning and operation of integrated transportation network to Sichuan Tibet region in China in the future.
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Šelmić, Milica, Miloš Nikolić, and Aleksandar Čupić. "Postboxes Quantitative Optimization Model." Sustainability 12, no. 5 (March 3, 2020): 1945. http://dx.doi.org/10.3390/su12051945.
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Technological developments are having a significant impact on purchasing habits and consumer behavior, and threaten the traditional model of the delivery of goods by post. The replacement of traditional letter-post items with electronic forms of communication has led to declines in the volume of postal items. Therefore, the collection of postal items has become very inefficient. This paper proposes that the postal network segment needs to be reorganized by reducing the current number of installed postboxes. To this end, a mathematical model has been defined. Considering that postboxes are one of the most basic access points to the postal network, territorial accessibility must be taken into account. The proposed model, with minor modifications, can easily be applied to optimize other access points in transportation networks. For testing purposes, this paper presents the results of computational experiments based on real data. The final result consists of scenarios that present a decision support system for the redesign of postal networks.
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Dimitriou, Loukas, Antonios Kaltsounis, and Antony Stathopoulos. "Pareto Evolutionary Optimization of Joint Network Design and Pricing Strategies Related to Emissions in Urban Networks." International Journal of Operations Research and Information Systems 5, no. 2 (April 2014): 56–85. http://dx.doi.org/10.4018/ijoris.2014040104.
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In the current social, physical, economical and environmental circumstances of scarcity, the design and management of vital lifelines like transportation systems, especially within the metropolitan context, are subject to the implementation of multiple objectives in a unified framework. Thus, one of the most important issues is the identification of optimal trade-offs among crucial objectives both from the designer's as well as from the users' perspective. In the current study a comprehensive framework for estimating optimal interrelations and dilemmas among emissions-related carbon footprint and other (social- and economic-related) features of urban road networks design and operation are presented and analyzed, based on techniques of multi-objective and hierarchical mathematical programming with equilibrium constraints, solved by suitable hybridization of evolutionary algorithms. The results of the proposed optimization methodological approach provide the Pareto Frontier of solutions, which corresponds to optimal trade-offs amongst multiple objectives. The computational experience from the application of the proposed methodological approach on a part of a realistic urban network is presented, providing evidence on the applicability as well as on the computational burden of such transportation design paradigms, but most importantly, on the dilemmas emerging in sustainable design and planning of transportation systems.
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Song, Jingni, Feng Chen, Qunqi Wu, Weiyu Liu, Feiyang Xue, and Kai Du. "Optimization of Passenger Transportation Corridor Mode Supply Structure in Regional Comprehensive Transport Considering Economic Equilibrium." Sustainability 11, no. 4 (February 22, 2019): 1172. http://dx.doi.org/10.3390/su11041172.
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Reasonable transportation network layoutsarecritical for optimizing a comprehensive transport system. With the gradual development of a transportation industry from quantitative expansion to structural optimization, and transformation of various transportation modes from independent operation to integrated development, traditional comprehensive transport planning theories and methods have not adapted. In thispaper, a new planning concept is proposed from the perspective of economic equilibrium with theaim ofoptimizing a supply structure for a comprehensive transport passenger transportation corridor. An in-depth analysis was conducted of the internal mechanism of the dynamic equilibrium between supply and demand of this corridor,wherein the maximum of the globaltransportation demand subjectcustomer surplus wastaken as a target function, respective interest functions of a demand subject and a supply subject served as constraints to quantitatively optimize the supply structure of the passenger transportation corridor in comprehensive transport, and a Gradient Descent algorithmwasdesigned. The results show that the proposed model better reflectstheeconomic operation mechanism of a passenger transportation market in a comprehensive transport corridor (CTC), and prove that the supply structure of CTC is closely related to passenger flow, travel value distribution, a supply subject's scale rate of return,and travel time. These research results have important academic values in terms of improving passenger transportation corridor structure optimization in region-specific comprehensive transport that conforms to a market economy mechanism. This concept can be extended from single corridor planning to point-to-point and door-to-door transportation supply structure planning, andto comprehensive transport network planning and urban transportation planning without loss of generality.
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Eldessouki, Wael, Nagui Rouphail, Madalena Beja, and S. Ranji Ranjithan. "Multiperiod Highway Improvement and Construction Scheduling: Model Development and Application." Transportation Research Record: Journal of the Transportation Research Board 1617, no. 1 (January 1998): 96–104. http://dx.doi.org/10.3141/1617-14.
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A methodology is presented that emulates the transportation improvement planning process using mathematical optimization techniques. The scheduling problem is formulated as a mixed integer linear program (MILP) and can be considered as a multiperiod network design problem. The three primary model components are discussed: ( a) the input module in which the network, traffic demand, and pool of potential projects are identified over the planning horizon; ( b) the benefits estimation module using network travel time as the benefit criterion; and ( c) the schedule builder, an MILP that attempts to maximize the total benefits subject to annual resources and project precedence constraints. The proposed method is applied in a case-study context to the Lisbon metropolitan region’s network, a portion of Portugal’s highway network, and the results are discussed.
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Lima, Relvas, Barbosa-Póvoa, and Morales. "Adjustable Robust Optimization for Planning Logistics Operations in Downstream Oil Networks." Processes 7, no. 8 (August 2, 2019): 507. http://dx.doi.org/10.3390/pr7080507.
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The oil industry operates in a very uncertain marketplace, where uncertain conditions can engender oil production fluctuations, order cancellation, transportation delays, etc. Uncertainty may arise from several sources and inexorably affect its management by interfering in the associated decision-making, increasing costs and decreasing margins. In this context, companies often must make fast and precise decisions based on inaccurate information about their operations. The development of mathematical programming techniques in order to manage oil networks under uncertainty is thus a very relevant and timely issue. This paper proposes an adjustable robust optimization approach for the optimization of the refined products distribution in a downstream oil network under uncertainty in market demands. Alternative optimization techniques are studied and employed to tackle this planning problem under uncertainty, which is also cast as a non-adjustable robust optimization problem and a stochastic programing problem. The proposed models are then employed to solve a real case study based on the Portuguese oil industry. The results show minor discrepancies in terms of network profitability and material flows between the three approaches, while the major differences are related to problem sizes and computational effort. Also, the adjustable model shows to be the most adequate one to handle the uncertain distribution problem, because it balances more satisfactorily solution quality, feasibility and computational performance.
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Wong, S. C., and Hai Yang. "Network Model of Urban Taxi Services: Improved Algorithm." Transportation Research Record: Journal of the Transportation Research Board 1623, no. 1 (January 1998): 27–30. http://dx.doi.org/10.3141/1623-04.
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A mathematical model is proposed to describe how vacant and occupied taxis will cruise in a road network to search for customers and provide transportation services. The model assumes that a taxi driver, once having picked up a customer, will move to the customer’s destination by the shortest path; and that a taxi driver, once having dropped a customer, will try to minimize individual expected search time required to meet the next customer. The probability that a vacant taxi meets a customer in a particular zone is specified by a logit model by assuming that the expected search time in each zone is an identically distributed random variable due to variations in perceptions and the random arrival of customers. The whole movement of all empty and occupied taxis is formulated as an optimization model, from which a gravity-type distribution of empty taxis is derived. Consequently, the taxi movement model can be solved efficiently by the established iterative balancing method and can be incorporated into any standard transportation planning packages.
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Ariafar, S., S. Ahmed, I. A. Choudhury, and M. A. Bakar. "Application of Fuzzy Optimization to Production-Distribution Planning in Supply Chain Management." Mathematical Problems in Engineering 2014 (2014): 1–8. http://dx.doi.org/10.1155/2014/218132.
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A production-distribution model has been developed that not only allocates the limited available resources and equipment to produce the products over the time periods, but also determines the economical distributors for dispatching the products to the distribution centers or retailers. The model minimizes production, inventory holding, backordering, and transportation cost while considering the time value of money. Since uncertainty is an inevitable issue of any real-world production system, then to provide a realistic model, the concept of fuzzy sets has been applied in the proposed mathematical modeling. To illustrate and show the feasibility and validity of the model, a real case analysis, which is pertaining to a mineral water bottling production factory, has been used. The case has been solved using a three-step solution approach developed in this study. The results show the feasibility and validity of the mathematical model, and also the solution procedure.
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Noor, Rafidah Md, Nadia Bella Gustiani Rasyidi, Tarak Nandy, and Raenu Kolandaisamy. "Campus Shuttle Bus Route Optimization Using Machine Learning Predictive Analysis: A Case Study." Sustainability 13, no. 1 (December 29, 2020): 225. http://dx.doi.org/10.3390/su13010225.
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Public transportation is a vital service provided to enable a community to carry out daily activities. One of the mass transportations used in an area is a bus. Moreover, the smart transportation concept is an integrated application of technology and strategy in the transportation system. Using smart idea is the key to the application of the Internet of Things. The ways to improve the management transportation system become a bottleneck for the traditional data analytics solution, one of the answers used in machine learning. This paper uses the Artificial Neural Network (ANN) and Support Vector Machine (SVM) algorithm for the best prediction of travel time with a lower error rate on a case study of a university shuttle bus. Apart from predicting the travel time, this study also considers the fuel cost and gas emission from transportation. The analysis of the experiment shows that the ANN outperformed the SVM. Furthermore, a recommender system is used to recommend suitable routes for the chosen scenario. The experiments extend the discussion with a range of future directions on the stipulated field of study.
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John, Sajan T., Rajagopalan Sridharan, and P. N. Ram Kumar. "Multi-period reverse logistics network design with emission cost." International Journal of Logistics Management 28, no. 1 (February 13, 2017): 127–49. http://dx.doi.org/10.1108/ijlm-08-2015-0143.
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Purpose The purpose of this paper is to develop a mathematical model for the network design of a reverse supply chain in a multi-product, multi-period environment. The emission cost due to transportation activities is incorporated into the model to reduce the total cost of emission and study the significance of inclusion of emission cost on the network design decisions. Design/methodology/approach Mixed integer linear programming formulation is used to model the network. The developed model is solved and analysed using the commercial solver LINGO. Findings The mathematical model provides a unified design of the network for the entire planning horizon comprising of different periods. A reduction in the total cost of emission is achieved. The analysis of the problem environment shows that the network design decisions significantly vary with the consideration of emission cost. Research limitations/implications A single mode of transportation is considered in this study. Also, a single type of vehicle is considered for the transportation purpose. Practical implications The developed model can aid the decision makers in making better decisions while reducing the total emission cost. The quantification of the emission cost due to transportation activities is presented in an Indian context and can be used for future studies. Originality/value An all-encompassing approach for the design of reverse logistics networks with explicit consideration of product structure and emission cost.
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Xin, Chunlin, Lingjie Wang, Bin Liu, Yu-Hsi Yuan, and Sang-Bing Tsai. "An Empirical Study for Green Transportation Scheme of Municipal Solid Waste Based on Complex Data Model Analysis." Mathematical Problems in Engineering 2021 (April 8, 2021): 1–17. http://dx.doi.org/10.1155/2021/6614312.
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Solid waste management and air pollution are two pressing issues in the functioning of large cities. This paper studies the optimization problem of the green transportation route of municipal solid waste and establishes a mathematical planning model based on real-time traffic conditions of the city and consideration of a time window and multiple transfer stations with the goal of minimizing energy consumption. In the optimal green transportation process in this paper, comprehensive consideration of vehicle speed, vehicle load, road gradient, and driving distance in different road sections based on real-time traffic conditions is incorporated, which has a better fuel-saving potential than the shortest path. A green transportation program can alleviate the air pollution problem in big cities and promote energy conservation and emission reduction in solid waste transportation.
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Liu, Xiaoyang, Sen Zhang, Jian Zeng, and Fei Fan. "Analysis and Optimization Strategy of Travel System for Urban Visually Impaired People." Sustainability 11, no. 6 (March 22, 2019): 1735. http://dx.doi.org/10.3390/su11061735.
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The urban transportation system should meet the requirements of various social groups and be fair and comprehensive. In China, it is rare to see disabled people use public transportation facilities to travel. In this research, we have selected visually impaired people as the research object and taken the central urban area of Tianjin as the research area. First, through questionnaires, this paper analysed the travel methods of visually impaired people through four aspects: destinations, transportation, walking ability and blind sidewalk system. Second, a travel system for visually impaired people was established based on ArcGIS and analysed by network service area analysis. Finally, a discussion of the research and suggestions for improving the travel system were presented. From the results, it can be concluded that visually impaired people have a clear travel purpose, and it is, in turn, most important to focus on disabled service centres, urban parks, hospitals, restaurants and so on. The blind sidewalk system in the research area is low-density and has a weak correlation with travel destinations, etc., which cannot guarantee the success of the travel of visually impaired people. Data from this paper can provide a reference for other cities in China to carry out research work for the equity of disabled people using transportation.
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Ozguven, Eren Erman, and Kaan Ozbay. "Simultaneous Perturbation Stochastic Approximation Algorithm for Solving Stochastic Problems of Transportation Network Analysis." Transportation Research Record: Journal of the Transportation Research Board 2085, no. 1 (January 2008): 12–20. http://dx.doi.org/10.3141/2085-02.
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Stochastic optimization has become one of the important modeling approaches in transportation network analysis. For example, for traffic assignment problems based on stochastic simulation, it is necessary to use a mathematical algorithm that iteratively seeks out the optimal, the suboptimal solution, or both, because an analytical (closed-form) objective function is not available. Therefore, efficient stochastic approximation algorithms that can find optimal or suboptimal solutions to these problems are needed. The method of successive averages (MSA), a well-known algorithm, is used to solve both deterministic and stochastic equilibrium assignment problems. As found in previous studies, the MSA has questionable convergence characteristics, especially when the number of iterations is not sufficiently large. In fact, the stochastic approximation algorithm is of little practical use if the number of iterations to reduce the errors to within reasonable bounds is arbitrarily large. An efficient method to solve stochastic approximation problems is the simultaneous perturbation stochastic approximation (SPSA), which can be a viable alternative to the MSA because of its proven power to converge to sub-optimal solutions in the presence of stochasticities and its ease of implementation. The performance of MSA and SPSA algorithms is compared for solving traffic assignment problems with varying levels of stochastic-ities on a small network. The utmost importance is given to comparison of the convergence characteristics of the two algorithms as well as to the computational times. A worst-case scenario is also studied to check the efficiency and practicality of both algorithms in terms of computational times and accuracy of results.
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Kurganov, V. M., M. V. Gryaznov, and K. A. Davydov. "CITY-FORMING ENTERPRISES: RELIABILITY AND REDUCED COSTS OF THE PASSENGERS’ TRANSPORTATION." Russian Automobile and Highway Industry Journal 17, no. 1 (March 5, 2020): 98–109. http://dx.doi.org/10.26518/2071-7296-2020-17-1-98-109.
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Introduction. The paper substantiates the relevance of reducing costs for regular passenger traffic and increasing their reliability in relation to cities with city-forming enterprises. The organizational and technological specificity of the regular route network of urban transport in such cities is disclosed. The authors propose a method for organizing regular transportation routes based on a rational combination of basic routes that require boarding and disembarking passengers only at stopping points and backup routes with boarding and disembarking passengers in any place not prohibited by the rules of road traffic. The authors demonstrate route network optimization of the regular passenger transportation using the proposed economic and mathematical model and taking into account the costs of forming the infrastructure for organizing traffic on backup routes, operating costs of transportation, as well as the cost of eliminating failures in urban transport. The developed mathematical model for assessing the reliability of regular passenger transportation differs from the well-known models, which take into account the availability of backup routes in the regular route network. The research proves the practical implementation of the proposed recommendations by the example of public transport routes in Magnitogorsk.Materials and methods. The authors used the analysis of scientific and regulatory literature; economic and mathematical modeling of transport processes; methods for calculating the reliability of technical and transport systems; the statistical, technical and economic system analysis.Results. As a result, the authors revealed the optimization of the economic and mathematical model of the regular passenger transportation in cities with city-forming enterprises and a mathematical model for assessing the reliability of regular passenger transportation. Moreover, the paper presented practical recommendations on the organization of reserve routes for regular passenger transport on the example of Magnitogorsk.Discussion and conclusions. By the implementation of theoretical principles, mathematical models and recommendations developed in the course of the research, the authors show the effect of implementation and the possibility to obtain new scientific results. Moreover, the authors demonstrate the formation of an additional volume of traffic by 178 thousand passengers a year, an increase in the speed of communication by 7 km per hour, a decrease in the cost of transporting one passenger by 7% and an increase in reliability by 1.14.Financial transparency: the authors have no financial interest in the presented materials or methods. There is no conflict of interest.
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Grytsevych, Volodymyr. "Geospatial organization of logistics system in transport optimization problem." Visnyk of the Lviv University. Series Geography, no. 50 (December 28, 2016): 131–40. http://dx.doi.org/10.30970/vgg.2016.50.8688.
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The recent publications of application of optimization and transport problem for planning the flows in logistic systems are analysed. A mathematical model of logistics system for optimizing transport problem in the region, which has a territorial division into separate elements, is build. The tools for formalized mathematical and geographical description and geospatial study of closed transportation problem are developed, knowledge of which includes four blocks. First block is the information about geolocalization of subjects (the location of territorial elements, placing of suppliers, placing of consumers, distance from suppliers to consumers, Boolean matrix of belonging suppliers to the territorial elements, Boolean matrix of belonging consumers to the territorial elements). The second block is implicative knowledge about georelativity for logistics flows between suppliers and consumers. The third block is implicative knowledge about geointegrity of subjects (suppliers and consumers) with logistics flows. The fourth block is the information about geofunctioning of subjects (annual suppliers sending, annual consumers receiving, annual transportation on traffic flows). The system and algorithms for computing of centers for centrography analysis of the functioning subjects of the transport problem and meaningful interpretation of these centers is made. A system of ordinary differential equations describing the dynamics of the operation of the optimization of the transportation problem during the year is build and its relation to classical transport problem is shown. Entropic characteristics of operation of the transportation problem optimization are described and studied and invariance of the total entropy on the subjects of the problem is shown. The directions for further research on this theme are proposed. Key words: geospatial organization, transport problem, optimization, centrography, dynamics, entropy.
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Yuan, Yunmei, Hongyu Li, and Lili Ji. "Application of Deep Reinforcement Learning Algorithm in Uncertain Logistics Transportation Scheduling." Computational Intelligence and Neuroscience 2021 (September 25, 2021): 1–9. http://dx.doi.org/10.1155/2021/5672227.
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Nowadays, finding the optimal route for vehicles through online vehicle path planning is one of the main problems that the logistics industry needs to solve. Due to the uncertainty of the transportation system, especially the last-mile delivery problem of small packages in uncertain logistics transportation, the calculation of logistics vehicle routing planning becomes more complex than before. Most of the existing solutions are less applied to new technologies such as machine learning, and most of them use a heuristic algorithm. This kind of solution not only needs to set a lot of constraints but also requires much calculation time in the logistics network with high demand density. To design the uncertain logistics transportation path with minimum time, this paper proposes a new optimization strategy based on deep reinforcement learning that converts the uncertain online logistics routing problems into vehicle path planning problems and designs an embedded pointer network for obtaining the optimal solution. Considering the long time to solve the neural network, it is unrealistic to train parameters through supervised data. This article uses an unsupervised method to train the parameters. Because the process of parameter training is offline, this strategy can avoid the high delay. Through the simulation part, it is not difficult to see that the strategy proposed in this paper will effectively solve the uncertain logistics scheduling problem under the limited computing time, and it is significantly better than other strategies. Compared with traditional mathematical procedures, the algorithm proposed in this paper can reduce the driving distance by 60.71%. In addition, this paper also studies the impact of some key parameters on the effect of the program.
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Gopalakrishnan, Karthik, and Hamsa Balakrishnan. "Control and Optimization of Air Traffic Networks." Annual Review of Control, Robotics, and Autonomous Systems 4, no. 1 (May 3, 2021): 397–424. http://dx.doi.org/10.1146/annurev-control-070720-080844.
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The air transportation system connects the world through the transport of goods and people. However, operational inefficiencies such as flight delays and cancellations are prevalent, resulting in economic and environmental impacts. In the first part of this article, we review recent advances in using network analysis techniques to model the interdependencies observed in the air transportation system and to understand the role of airports in connecting populations, serving air traffic demand, and spreading delays. In the second part, we present some of our recent work on using operational data to build dynamical system models of air traffic delay networks. We show that Markov jump linear system models capture many of the salient characteristics of these networked systems. We illustrate how these models can be validated and then used to analyze system properties such as stability and to design optimal control strategies that limit the propagation of disruptions in air traffic networks.
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Chernetskaya-Beletskaya, Nataliya, Andriy Rogovyi, Igor Baranov, Alexander Krut, Maria Miroshnikova, and Nikita Bragin. "Increasing the efficiency of highly concentrated coal-water fuel based on the simulation of non-Newtonian fluid flow." MATEC Web of Conferences 294 (2019): 01009. http://dx.doi.org/10.1051/matecconf/201929401009.
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The analysis of further prospects for increasing the efficiency of transportation of coal-water fuel in hydro-transport systems of industrial enterprises is carried out. The mathematical model of the spatial three-dimensional flow of coal-water fuel was developed on the basis of SST turbulence model based on the solution of Navier-Stokes equation. As a result of the calculation, the values of pressure loss, flow rate and velocity distribution over the cross section of the pipeline in the straight section and in the turn were determined, which allowed determining the energy consumption during coal-water fuel transportation in the industrial hydro-transport system. The performed studies allowed us to refine the mathematical model of water-coal suspension flow and, thus, improve the patterns of influence of hydro-transportation scheme and parameters of coal-water fuel on energy consumption for its supply to enterprise consumers. By means of mathematical model of non-Newtonian fluids flow, the patterns of influence of hydro-transport system parameters and transportation modes of coal-water fuel on its energy indicators in industrial hydro-transport systems are determined. The obtained results are related to reduction of energy consumption, optimization of enterprise transport network configuration and increase of efficiency of coal-water fuel transportation to enterprise energy facilities.
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Li, Huan, Eleftherios Iakovou, and Christos Douligeris. "Strategic Planning Model for Marine Oil Transportation in the Gulf of Mexico." Transportation Research Record: Journal of the Transportation Research Board 1522, no. 1 (January 1996): 108–15. http://dx.doi.org/10.1177/0361198196152200115.
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The development of a comprehensive model of the marine oil transportation in the Gulf of Mexico is presented; it solves for oil flow distribution in a competitive multimodal and multiproduct network on the basis of systemwide optimization. It is a high-level strategic decision-making tool that will be used to interface with a risk analysis model, which is under development, to identify weak links in the system and evaluate alternative routing and shipping scenarios. It may also be used to provide suggestions for the designation of lightering zones, which will enable the United States to draw from the general world supply of tanker capacity and reduce oil transportation costs and risks.
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Malyshev, M. I. "Research review on improving the efficiency of multimodal transportation based on technological solutions." Civil Aviation High Technologies 23, no. 4 (September 4, 2020): 58–71. http://dx.doi.org/10.26467/2079-0619-2020-23-4-58-71.
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During the process of analyzing Russian and foreign studies in the field of multimodal cargo transportation, existing methods for improving the efficiency of the multimodal transport system are considered. Improving efficiency of multimodal transportation today is possible due to the optimization of the interaction system between the used modes of transport and transportation of goods. Cost reduction, optimization of cargo terminals, the formation and development of the transport corridors network also play an important role in improving this type of transportation. The use of the new capabilities of satellite navigation, as well as the importance of reducing the environmental load and fuel economy should not be underestimated. The minimization of risks throughout the field of multimodal transportation, the improvement of the legislative framework and document management processes are important. To solve these problems, experts propose methods for the operational management of cargo delivery and expedited transportation. Based on these methods, the place of transport logistics in the process of bringing goods to the consumer during multimodal transportation is determined. A methodology for designing a multimodal transport network has been developed, this methodology involves the formation and development of transport corridors, taking into account new conditions for the globalization of transportation. Researches on the organization of transportation using multimodal transport units and technologies (containers, contrailers, "running highway") have been conducted. Based on the theory of controlled networks and integer linear programming methods, the experts developed mathematical models for the distribution of cargo flows, the choice of the most favorable transportation routes, ideal loading of rolling stock, and transportation of goods using the best forwarding algorithm. Methods are proposed for assessing the maximum capacity of the transport network and predicting the interference of weather conditions in the process of goods transportation, based on the Ford-Fulkerson theorem on the maximum flow and minimum cross section and the use of the mathematical apparatus of Markov chains. As a result of the analysis, it was concluded that the lack of a universal methodology for managing multimodal transportation processes on the basis of a telecommunication platform requires the formulation and solution of the important scientific and practical problem - the development of popular organizational and management methods, technological solutions to ensure the effectiveness of multimodal transportation. The totality of the tasks to be solved in this case has important socio-economic significance for the Russian Federation.
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Kou, Zheng, and Man Zhang. "LRP Model and Algorithm of Expressway Logistics Network Planning Based on Internet of Things." Mobile Information Systems 2021 (September 18, 2021): 1–12. http://dx.doi.org/10.1155/2021/5648330.
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With the continuous improvement of the expressway logistics network, the location-routing problems (LRP) have become the obstacle to be overcome in the development of related industries. Based on the needs of modernization, in the era of the Internet of Things, classic traffic path planning algorithms can no longer meet the increasingly diverse needs, and related research results are not ideal. To reduce logistics costs and meet customer needs, this paper studies transportation route planning models and algorithms based on Internet of Things technology and particle swarm optimization. Firstly, the LRP model of expressway logistics network planning analyzes the achievement of goals, lists the assumptions, and builds the LRP model of expressway logistics network planning based on the mathematical model of path planning. Then the model is optimized and solved based on the particle swarm optimization algorithm. In order to verify the effectiveness and feasibility of the algorithm, MATLAB is used to simulate the algorithm. Finally, the LRP particle swarm optimization model of highway logistics network planning is put into the actual distribution work of a logistics company to analyze the change of distribution cost and investigate the related satisfaction. Experimental data show that the improved particle swarm optimization algorithm in this paper begins to converge in the 100th generation, the shortest running time is 57s, and the value of the objective function fluctuates slightly around 880. This shows that the model algorithm in this paper has strong search ability and stability. In the simulation experiment, the optimal objective function value of the model is 1001 yuan, which can be used to formulate the optimal distribution scheme. In the actual distribution work, the total cost of distribution before and after the application of the model was 12176.99 yuan and 9978.4 yuan, the fuel consumption cost decreased by 2097.23 yuan, and the penalty cost decreased by 85%. In the satisfaction survey, the satisfaction of all people was 9 points or above, with an average score of 9.42 points. This shows that the LRP particle swarm optimization model of expressway logistics network planning based on the Internet of Things technology can effectively save distribution costs and improve satisfaction.
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Валеева, Альфия, Al'fiya Valeeva, Ольга Семичева, Ol'ga Semicheva, Диляра Валеева, and Dilyara Valeeva. "OPTIMIZATION OF TRANSPORT FLOWS IN SUPPLY CHAIN MANAGEMENT OF THE FOOD COMPANY." Vestnik of Kazan State Agrarian University 12, no. 2 (October 3, 2017): 126–32. http://dx.doi.org/10.12737/article_59ad0be3b6a5e3.39150729.
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Transportation is an important part of the logistics process and supply chain management, so it requires effective management, which is especially true when the organization seeks to meet the needs of its customers and achieve acceptable rates of return on its investments. Shippers should know the opportunities and bottlenecks of the company in terms of transportation at the entrance and exit, be able to choose the mode of transport and the carrier, conclude contracts with the right conditions, analyze the activities of transport brokers, understand the options for transportation by own forces, evaluate the performance of carriers, etc. The methods of optimization of operational planning problems that use linear programming models (LP), the analysis of the transport component in supply chain management, the characteristics of the basic methods of modeling transport problems and the problems of transport routing are considered in the article. The most promising direction in solving the problem of optimizing transport flows is the development of technologies that would combine the advantages of geoinformation systems, mathematical programming and heuristics.
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Zhang, Shengzhong, Qianqian Hui, Xue Bai, and Rongting Sun. "Bilevel Optimization for the Hazmat Transportation Problem with Lane Reservation." Journal of Advanced Transportation 2020 (July 8, 2020): 1–14. http://dx.doi.org/10.1155/2020/2530154.
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In this study, we investigate a bilevel optimization model for the hazmat transportation problem with lane reservation. The problem lies in selecting lanes to be reserved in the network and planning paths for hazmat transportation tasks. The trade-off among transportation cost, risk, and impact on the normal traffic is considered. By using the traffic flow theory, we quantify the impact on the normal traffic and modify the traditional risk measurement model. The problem is formulated as a multiobjective bilevel programming model involving the selection of reserved lanes for government and planning paths for hazmat carriers. Two hybrid metaheuristic algorithms based on the particle swarm optimization algorithm and the genetic algorithm, respectively, are proposed to solve the bilevel model. Their performance on small-scale instances is compared with exact solutions based on the enumeration method. Finally, the computational results on large-scale instances are compared and sensitivity analysis on the key parameters is presented. The results indicate the following: (1) Both algorithms are effective methods for solving this problem, and the method based on the particle swarm optimization algorithm requires a shorter computation time, whereas the method based on the genetic algorithm shows more advantages in optimality. (2) The bilevel model can effectively reduce the total risk of the hazmat transportation while considering the interests of hazmat carriers and ordinary travellers. (3) The utilization rate of reserved lanes increases with an increasing number of tasks. Nevertheless, once the proportion of hazmat vehicles becomes excessive, the advantage of reducing the risk of the reserved lanes gradually decreases.
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Barykin, Sergey Evgenievich, Larisa Nikolaevna Borisoglebskaya, Vyacheslav Vasilyevich Provotorov, Irina Vasilievna Kapustina, Sergey Mikhailovich Sergeev, Elena De La Poza Plaza, and Lilya Saychenko. "Sustainability of Management Decisions in a Digital Logistics Network." Sustainability 13, no. 16 (August 18, 2021): 9289. http://dx.doi.org/10.3390/su13169289.
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Globalization has given a powerful impetus to the development of international commercial activity and logistics management systems taking full advantage of cross-border networking. The solution lies at the intersection of information technologies, technical means of machine-to-machine (M2M) interaction, mobile high-speed networks, geolocation, cloud services, and a number of international standards. The current trend towards creating digital logistics platforms has set a number of serious challenges for developers. The most important requirement is the condition of sustainability of the obtained solutions with respect to disturbances in the conditions of logistics activities caused not only by market uncertainty but also by a whole set of unfavorable factors accompanying the transportation process. Within the framework of the presented research, the problem of obtaining the conditions for the stability of solutions obtained on the basis of mathematical models is set. At the same time, the processes of transferring not only discrete but also continuous material flows through complex structured networks are taken into account. This study contains the results of the analysis of the stability of solutions of differential systems of various types that simulate the transfer processes in network media. Initial boundary value problems for evolutionary equations and differential-difference systems are relevant in logistics, both for the discrete transportation of a wide range of goods and for the quasi-continuous transportation of, for example, liquid hydrocarbons. The criterion for the work of a logistics operator is the integral functional. For the mathematical description of the transport process of continuous and discrete media, a wide class of integrable functions are used, which adequately describe the transport of media with a complex internal rheological structure.
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Jin, Haifeng, Mingyuan Zhang, and Yongbo Yuan. "Analytic Network Process-Based Multi-Criteria Decision Approach and Sensitivity Analysis for Temporary Facility Layout Planning in Construction Projects." Applied Sciences 8, no. 12 (December 3, 2018): 2434. http://dx.doi.org/10.3390/app8122434.
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In construction projects, the planning objectives include the safety and labor productivity of the activities, along with the cost influence affecting the overall performance of construction. Temporary facilities are critical in supporting structures and equipment that impact the direct task executions and resource transportation during various construction stages. The positioning of temporary facilities and the relative spatial relation between multiple facilities are critical factors that affect the success of construction delivery. To ensure the balance among safety, labor productivity and construction cost performance, all influencing factors associated with the construction objectives should be taken into account in temporary facility layout planning. This paper proposes a novel multi-criteria temporary facility layout planning model that integrates Analytic Network Process (ANP) modeling and simulation-based sensitivity evaluation, which effectively transforms the spatial layout planning problem into a mathematical decision problem. An application example is analyzed to demonstrate its capabilities of optimizing temporary facility layout planning. The proposed framework provides the construction managers and layout planners with a useful tool for selecting the optimal alternative of temporary facility layout plan on the construction site.
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Mladenović, Snežana, Stefan Zdravković, Slavko Vesković, Slađana Janković, Života Đorđević, and Nataša Đalić. "Development of a Novel Freight Railcar Load Planning and Monitoring System." Symmetry 11, no. 6 (June 4, 2019): 756. http://dx.doi.org/10.3390/sym11060756.
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Rail transport has unmistakable sustainable (environmental and economic) advantages in goods transportation on a massive scale. Goods loading constitutes an important segment of goods transportation by rail. Incorrect loading can be a serious threat to traffic safety as well as a generator of unforeseen expenses related to goods, railway infrastructure and vehicles. At the beginning, the paper identifies the presence of incorrect loading into freight railcars. The analysis of the available loading software has led to the conclusion that no software offers adequate support to the planning and monitoring of the loading of goods into a covered railcar using a forklift truck. For this reason, the main aim of the research is to formulate a mathematical model that includes real-world constraints, as well as the design and implementation of an original user-friendly load planning and monitoring software system. Experimental evaluations of the implemented software have been made based on single and multiple railcar pallet loading problems, considering the following three optimization criteria: maximization of wagon load weight, maximization of wagon volume utilization and maximization of weighted profit. By testing the optimization and visualization features of the software and analyzing the results, it has been concluded that it can offer full support to real load planning and monitoring problems.
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Zhang, Jing, Jingjing Liu, and Zhong Wan. "Optimizing Transportation Network of Recovering End-of-Life Vehicles by Compromising Program in Polymorphic Uncertain Environment." Journal of Advanced Transportation 2019 (May 12, 2019): 1–24. http://dx.doi.org/10.1155/2019/3894064.
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With rapid development of technology and improvement of living standards, the per capita holding of automobiles greatly increases, and the amount of end-of-life vehicles (ELVs) becomes larger and larger such that it is valuable to investigate an effective strategy for recycling ELVs from the viewpoints of environmental protection and resource utilization. In this paper, an optimization model with fuzzy and stochastic parameters is built to formulate the transportation planning problems of recycling ELVs in polymorphic uncertain environment, where the unit processing and transportation costs, the selling price of reused items, and the fixed cost are all fuzzy, while the demand in secondary market and the production capacity are random owing to features underlying the practical data. For this complicated polymorphic uncertain optimization model, a unified compromising approach is proposed to hedge the uncertainty of this model such that some powerful optimization algorithms can be applied to make an optimal recycling plan. Then, an interactive algorithm is developed to find a compromising solution of the uncertain model. Numerical results show efficiency of the algorithm and a number of important managerial insights are revealed from the proposed model by scenario analysis and sensitivity analysis.
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Chen, Ying Xin. "The Study of Vehicle Routing Model in Emergency Situations." Advanced Materials Research 433-440 (January 2012): 4807–12. http://dx.doi.org/10.4028/www.scientific.net/amr.433-440.4807.
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A Vehicle routing model for logistics planning is developed in this paper. The model addresses the dynamic time-dependent transportation problem that needs to be solved repetitively at given time intervals during ongoing aid delivery. The model generates plans incorporating new requests for aid materials, new supplies and transportation means that become available during the current planning time horizon. The plan indicates the optimal mixed pick up and delivery schedules for vehicles within the considered planning time horizon as well as the optimal quantities and types of loads picked up and delivered on these routes. The mathematical model is a hybrid that integrates the multi-commodity network flow problem and the vehicle routing problem. Based on the analysis and calculation of an example, the results indicate that the model is effective and feasible.
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Akkad, Mohammad Zaher, and Tamás Bányai. "Multi-Objective Approach for Optimization of City Logistics Considering Energy Efficiency." Sustainability 12, no. 18 (September 8, 2020): 7366. http://dx.doi.org/10.3390/su12187366.
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Urban population increase results in more supply chain operations in these areas, which leads to increased energy consumption and environmental pollution. City logistics represents a strategy of efficient freight transportation and material handling to fulfill customer and business demands. Within the frame of this paper, the authors describe an optimization model of a multi-echelon collection and distribution system, focusing on downtown areas and energy efficiency, sustainability, and emission reduction. After a systematic literature review, this paper introduces a mathematical model of collection and distribution problems, including package delivery, municipal waste collection, home delivery services, and supply of supermarkets and offices. The object of the optimization model is twofold: firstly, to design the optimal structure of the multi-echelon collection and distribution system, including layout planning and the determination of required transportation resources, like e-cars, e-bikes, and the use of public transportation; and secondly, to optimize the operation strategy of the multi-echelon supply chain, including resource allocation and scheduling problems. Next, a heuristic approach is described, whose performance is validated with common benchmark functions, such as metaheuristic evaluation. The scenario analysis demonstrates the application of the described model and shows the optimal layout, resource allocation, and operation strategy focusing on energy efficiency.
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Pei, Zhonghui, Wei Chen, Hongjiang Zheng, and Luyao Du. "Optimization of Maximum Routing Hop Count Parameter Based on Vehicle Density for VANET." Mobile Information Systems 2020 (June 10, 2020): 1–11. http://dx.doi.org/10.1155/2020/2741648.
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Vehicular Ad Hoc Network (VANET) is the basic technology of intelligent transportation systems for providing reliable and real-time communications between vehicles and vehicles or roadside units. In order to improve the communication quality of VANET, this paper studies the effects of different maximum routing hop count parameters on the performance of the network under different vehicle densities. We establish the mathematical models of node connectivity probability and the packet delivery ratio by using the Poisson distribution model. And the maximum routing hop count selection algorithm (MRHSA) is proposed based on the theoretical model established in the paper. The simulation experiments and statistical analysis on packet delivery ratio, throughput, and end-to-end delay are performed under the straight road and urban road scenes, supported by the Vehicle in Network Simulation (Veins). The results show that the maximum routing hop count parameter is an important impact factor on the communication quality of the network. It is found that MRSHA proposed in this paper can improve the packet delivery ratio by about 9.1% at most in straight road scenarios, which indicates that MRHSA will contribute to the improvement of the communication quality of VANET.
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Frutos Bernal, E., A. Martín del Rey, and P. Galindo Villardón. "Analysis of Madrid Metro Network: From Structural to HJ-Biplot Perspective." Applied Sciences 10, no. 16 (August 17, 2020): 5689. http://dx.doi.org/10.3390/app10165689.
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With the growth of cities, urban traffic has increased and traffic congestion has become a serious problem. Due to their characteristics, metro systems are one of the most used public transportation networks in big cities. So, optimization and planning of metro networks are challenges which governments must focus on. The objective of this study was to analyze Madrid metro network using graph theory. Through complex network theory, the main structural and topological properties of the network as well as robustness characteristics were obtained. Furthermore, to inspect these results, multivariate analysis techniques were employed, specifically HJ-Biplot. This analysis tool allowed us to explore relationships between centrality measures and to classify stations according to their centrality. Therefore, it is a multidisciplinary study that includes network analysis and multivariate analysis. The study found that closeness and eccentricity were strongly negatively correlated. In addition, the most central stations were those located in the city center, that is, there is a relationship between centrality and geographic location. In terms of robustness, a highly agglomerated community structure was found.
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Pan, Xiao Yong, Yong Liang Liu, Jiang Wu, Quan Wei Zhang, and Dong Lai. "Research on the Model of Reverse Logistics Networks Planning Based on Recycling Waste Household Appliances." Advanced Materials Research 926-930 (May 2014): 3926–29. http://dx.doi.org/10.4028/www.scientific.net/amr.926-930.3926.
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In the case of four kinds discarded appliances of TV set, refrigerators, air conditioners and washing machines, build a reverse logistics network model of waste household appliances recycling by planning to establish three nodes of collection points, recycling centers and dismantling treatment plants. The reverse model with the minimum total cost as the objective, including recycling costs, transportation costs, the node infrastructure investment costs, operating costs, government subsidies and renewable resource recycling revenue. Finally, the operation analysis of an example shows that the model is effective and reasonable. The model provides an important theoretical reference to solve the reverse logistics network planning, the optimal siting of new node and distribution optimization problem.
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Mahmood, Dhari Ali, and Gábor Horváth. "Analysis of the Message Propagation Speed in VANET with Disconnected RSUs." Mathematics 8, no. 5 (May 13, 2020): 782. http://dx.doi.org/10.3390/math8050782.
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Vehicular ad-hoc networks (VANETs), which are networks of communicating vehicles, provide the essential infrastructure for intelligent transportation systems. Thanks to the significant research efforts to develop the technological background of VANETs, intelligent transportation systems are nowadays becoming a reality. The emergence of VANETs has triggered a lot of research aimed at developing mathematical models in order to gain insight into the dynamics of the communication and to support network planning. In this paper we consider the message propagation speed on the highway, where messages can be exchanged not only between the vehicles, but also between the road-side infrastructure and the vehicles as well. In our scenario, alert messages are generated by a static message source constantly. Relying on an appropriately defined Markov renewal process, we characterize the message passing process between the road-side units, derive the speed of the message propagation, and provide the transient distribution of the distance where the message is available. Our results make it possible to determine the optimal distance between road-side units (RSUs) and to calculate the effect of speed restrictions on message propagation.
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Dmytrychenko, Nikolay, and Anna Kharchenko. "Development of method for road network management program optimization." Technology audit and production reserves 4, no. 2(60) (July 31, 2021): 56–60. http://dx.doi.org/10.15587/2706-5448.2021.237949.
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The object of research is the processes of road network management. The main hypothesis of the study is the application of optimization methods to the road asset management program, which allows to implement a road maintenance strategy, which includes a set of measures involved in ensuring and maintaining roads at the appropriate operational level. In general, the sequence of asset management begins with the definition of objectives, policy of road administrations and the available budget. According to this starting point, data collection, performance monitoring, analysis of options and optimization programs, selection and implementation of a set of projects are performed. The goals and objectives of road project management depending on the category are considered. The model of strategic planning of the program on management of a network of highways is offered and the modern architecture of model is constructed. The main approaches to the optimization of the road asset management program are identified. The target function for the optimization model is proposed, which is to minimize the cost of maintenance of the road network and defines the goals to be achieved in the optimization process. The optimization model is a mathematical description designed to compare alternative strategies and identify the relative benefits of each strategy according to the assigned decision criteria, such as safety, cost, environment and others. The main idea and goal of road network management projects is to improve maintenance practices and policies and thus improve the condition of the network, or maintain it at the current level, taking into account resource constraints. The results of program optimization have practical value and can be used to manage road repair and operation projects depending on: – defined project goals and plans, including scheduling, budgeting, planning, established efficiency requirements and selection of project participants; – maximizing the efficient use of resources; – implementation of functions of coordination and control, planning, design, evaluation, conclusion of contracts and implementation of projects under contracts.
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Sujjaviriyasup, Thoranin, and Komkrit Pitiruek. "Cassava Transportation Planning under Uncertain Demand Using Hybrid Algorithm: Case Study of Roi Et Province." Advanced Materials Research 931-932 (May 2014): 1658–63. http://dx.doi.org/10.4028/www.scientific.net/amr.931-932.1658.
Full textAbstract:
Cassava transportation planning usually involves unexpected demand, which may result in shortage supply. Furthermore, a distribution center at which cassava is collected is difficult to be located since the demand is unknown. In this research, hybrid forecasting model for predicting future demand in order to determine transshipment points is proposed. In addition, cluster analysis and particle swarm optimization are used for creating potential zones and determine a proper location as a new hub. Finally, the optimal value of a transportation network model using both forecasted value and actual value obtained from linear programming technique are tested and compared. The results indicate that the hybrid forecasting model provides the lowest error and forecasting value provides average error of optimal value compared to actual value by 19.81%. Moreover, zoning technique can be able to improve shipping volume fulfilled to a large truck.
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TATARI, Omer, Gokhan EGILMEZ, and Dhruva KURMAPU. "SOCIO-ECO-EFFICIENCY ANALYSIS OF HIGHWAYS: A DATA ENVELOPMENT ANALYSIS." JOURNAL OF CIVIL ENGINEERING AND MANAGEMENT 22, no. 6 (June 8, 2016): 747–57. http://dx.doi.org/10.3846/13923730.2014.914079.
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To ensure the large network of highways is performing sustainably, there is a dire need to quantify sustainability for highways. In this paper, data envelopment analysis (DEA) based mathematical model is developed to evaluate sustainability in an attempt to aid these efforts. Sustainability goals pertaining to the three dimensions of sustainability, social, economic and environmental, were utilized. Utilizing the developed model, sustainability scores of thirty highway sections were calculated and ranked accordingly. Percent improvement analysis was carried out to gain more insight. In addition, sensitivity analysis was carried out to understand how different values of input parameters impacted the socio-eco-efficiency of each highway section. The aim of the study was to show that DEA based sustainability assessment model could be used to evaluate highways and assist in strategic planning goals of transportation agencies. Results indicated that 22% to 47% reductions are required to be achieved on negative social and environmental impacts for the inefficiency highway sections to be 100% efficient while keeping the economic indicators the same.
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Shabel’Nikov, A. N., and Yu V. Shapovalova. "Modeling of maintenance systems for railway infrastructure facilities based on the theory of mass service." Vestnik of the Railway Research Institute 77, no. 3 (June 28, 2018): 165–71. http://dx.doi.org/10.21780/2223-9731-2018-77-3-165-171.
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The article is substantiated the necessity of intro-and dynamics of change are proposed to be implemented within ducing the mechanism of predictable maintenance of railway trans-the framework of a specially created decision support system. It port infrastructure into the practice of the transportation process. was also proposed to use the mathematical apparatus of queuing The functions of object monitoring, diagnostics of their condition theory to implement the tasks of analyzing and synthesizing the structure and functions of the system for organizing maintenance of transport infrastructure facilities. Within the framework of this tool, a mathematical model for the synthesis of maintenance systems for railway infrastructure facilities was constructed and analyzed, and a network of queuing systems describing monitoring, diagnostics and maintenance of these facilities was considered. The analysis technique of the infrastructure objects includes the procedure for structuring the railway transport object in the form of a combination of queuing systems and queuing networks, analysis of their parameters, analysis and optimization of information flows in queuing networks. The features of the application of the developed model for the solution of three practical problems are analyzed: technical and commercial inspection of trains at the sorting station reception, identification and correction of wheelset defects on thermal anomalies, development of a system for diagnosing the negative dynamics of freight cars. A model is described that allows calculating the main parameters (service intensity, service time and location in network) for a network that includes the source of applications (the transportation process), the diagnostic subsystems (as part of the decision support system - DSS) and the maintenance depoes.