Academic literature on the topic 'Transport optimization'
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Journal articles on the topic "Transport optimization"
Klanšek, Uroš, and Mirko Pšunder. "SOLVING THE NONLINEAR TRANSPORTATION PROBLEM BY GLOBAL OPTIMIZATION." TRANSPORT 25, no. 3 (September 30, 2010): 314–24. http://dx.doi.org/10.3846/transport.2010.39.
Full textKonopacki, Gustaw. "OPTIMIZATION POTENTIAL TRANSPORT OF TRANSPORT COMPANY." Information System in Management 6, no. 1 (March 31, 2017): 14–25. http://dx.doi.org/10.22630/isim.2017.6.1.2.
Full textZagurskiy, O. M., and А. М. Ohiienko. "Approaches to optimization of functioning of cities by environmental criteria." Naukovij žurnal «Tehnìka ta energetika» 11, no. 4 (September 10, 2020): 73–79. http://dx.doi.org/10.31548/machenergy2020.04.073.
Full textOlivos, Carlos, and Hernan Caceres. "MULTI-OBJECTIVE OPTIMIZATION OF AMBULANCE LOCATION IN ANTOFAGASTA, CHILE." Transport 37, no. 3 (August 19, 2022): 177–89. http://dx.doi.org/10.3846/transport.2022.17073.
Full textMaglić, Livia, Marko Gulić, and Lovro Maglić. "OPTIMIZATION OF CONTAINER RELOCATION OPERATIONS IN PORT CONTAINER TERMINALS." Transport 35, no. 1 (December 9, 2019): 37–47. http://dx.doi.org/10.3846/transport.2019.11628.
Full textPavlova, Kristina, Todor Stoilov, and Krasimira Stoilova. "Bi-Level Model for Public Rail Transportation under Incomplete Data." Cybernetics and Information Technologies 17, no. 3 (September 1, 2017): 75–91. http://dx.doi.org/10.1515/cait-2017-0031.
Full textRajković, Miloš, Nenad Zrnić, Nenad Kosanić, Matej Borovinšek, and Tone Lerher Lerher. "A multi-objective optimization model for minimizing investment expenses, cycle times and CO2 footprint of an automated storage and retrieval systems." Transport 34, no. 3 (May 7, 2019): 275–86. http://dx.doi.org/10.3846/transport.2019.9686.
Full textTurdiqulovich, Jonibek Usmonov. "Optimization of Global Information Flows in Transport System Management." Journal of Advanced Research in Dynamical and Control Systems 12, SP7 (July 25, 2020): 2024–32. http://dx.doi.org/10.5373/jardcs/v12sp7/20202319.
Full textYildiz, Turkay, and Funda Yercan. "THE CROSS‐ENTROPY METHOD FOR COMBINATORIAL OPTIMIZATION PROBLEMS OF SEAPORT LOGISTICS TERMINAL." TRANSPORT 25, no. 4 (December 31, 2010): 411–22. http://dx.doi.org/10.3846/transport.2010.51.
Full textHuang, Xiaoling, Huanping Chen, Jiaan Zhang, Dan Wang, Jihong Chen, and Jack Xunjie Luo. "ROBUST OPTIMIZATION MODEL OF CONTAINER LINER ROUTES IN FEEDER LINE NETWORK." Transport 39, no. 1 (April 4, 2024): 13–24. http://dx.doi.org/10.3846/transport.2024.20531.
Full textDissertations / Theses on the topic "Transport optimization"
Guedes, Pablo Cristini. "Essays on urban bus transport optimization." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2017. http://hdl.handle.net/10183/163730.
Full textIn this dissetation we presented a three articles compilation in urban bus transportation optimization. The main objective was to study and implement heuristic solutions method based on Operations Research to optimizing offline and online vehicle (re)scheduling problems considering multiple depots and heterogeneous fleet. In the first paper, a fast heuristic approach to deal with the multiple depot vehicle scheduling problem was proposed. We think the main contributions are the column generation framework for large instances and the state-space reduction techniques for accelerating the solutions. In the second paper, we added complexity when considering the heterogeneous fleet, denoted as "the multiple-depot vehicle-type scheduling problem" (MDVTSP). Although the MDVTSP importance and applicability, mathematical formulations and solution methods for it are still relatively unexplored. We think the main contribution is the column generation framework for instances with heterogeneous fleet since no other proposal in the literature has been identified at moment by the authors. In the third part of this dissertation, however, we focused on the real-time schedule recovery for the case of serious vehicle failures. Such vehicle breakdowns require that the remaining passengers from the disabled vehicle, and those expected to become part of the trip, to be picked up. In addition, since the disabled vehicle may have future trips assigned to it, the given schedule may be deteriorated to the extent where the fleet plan may need to be adjusted in real-time depending on the current state of what is certainly a dynamic system. Usually, without the help of a rescheduling algorithm, the dispatcher either cancels the trips that are initially scheduled to be implemented by the disabled vehicle (when there are upcoming future trips planned that could soon serve the expected demand for the canceled trips), or simply dispatches an available vehicle from a depot. In both cases, there may be considerable delays introduced. This manual approach may result in a poor solution. The implementation of new technologies (e.g., automatic vehicle locators, the global positioning system, geographical information systems, and wireless communication) in public transit systems makes it possible to implement real-time vehicle rescheduling algorithms at low cost. The main contribution is the efficient approach to rescheduling under a disruption. The approach with integrated state-space reduction, initial solution, and column generation framework enable a really real-time action. In less than five minutes rescheduling all trips remaining.
Borneman, Troy W., David G. Cory, and Martin D. Hürlimann. "Signal optimization in inhomogeneous fields." Universitätsbibliothek Leipzig, 2015. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-192112.
Full textGouvras, Stefanos. "Optimization methods for public transport networks." Thesis, Imperial College London, 1987. http://hdl.handle.net/10044/1/38337.
Full textLindner, Thomas. "Train schedule optimization in public rail transport." [S.l. : s.n.], 2000. http://deposit.ddb.de/cgi-bin/dokserv?idn=95980479X.
Full textVatn, Karsten Dånmark. "Optimization of water-borne crude oil transport." Thesis, Norwegian University of Science and Technology, Department of Engineering Cybernetics, 2007. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-9544.
Full textA ship scheduling problem in optimization of water-borne crude oil transportation has been investigated. The classic optimization problem the most closely related to the problem at hand is the Multi-Vehicle-Pick-up-and-Delivery Problem with Time Windows (m-PDPTW). In addition to the basic characteristics of the m-PDPTW, the studied problem has an additional degree of freedom due to having pick-ups and deliveries that are not matched. This extra freedom gives new possibilities when creating effective heuristics when dealing with transportation problems. The studied problem has been presented in relation to carefully selected background literature. On this basis a proposed heuristic has been developed, and implemented using some already existing structures in the commercial decision support system TurboRouter. The studied problem is an industrial shipping problem, an operational mode where the shipper owns the cargo to be transported. No income is therefore made directly from transporting goods. Therefore the objective function chosen was net income, which in this mode is the same as minimizing the net expenses. A multi-start local search with pre-matching of pick-ups and deliveries heuristic was chosen based on an assessment of problem size, problem type, real life applicability and existing software. This heuristic consists of three main parts. First the pick-ups and deliveries are matched and merged in a pre-matching heuristic, and then a large number of initial solutions are generated by an insertion heuristic. The best initial solutions are then improved by a local search. Two strategies were developed for pre-matching and then tested. The one with the best test results was subsequently used in the heuristic. This multi-start local search with pre-matching of pick-ups and deliveries heuristic has been subject to rigorous testing and was compared to a single-start local search and multiple initial solutions heuristic. The solutions generated by the multi-start local search heuristic were superior compared to those of the other heuristics, but the computation time necessary was high and higher than those of the heuristics which it was compared to. This high computation time is partially believed to be a result of flexible data sets resulting in broad solution spaces. In addition some computationally expensive heuristics were deployed, increasing the computation time. In real life applications, finding a solution relatively quickly is of importance. Therefore the heuristic may need to be simplified and used on "tighter" data sets than some sets used in testing to be real life applicable.
Ozer, Zubeyde Ozlem. "Inter- Auction Transport Optimization In Floriculture Industry." Master's thesis, METU, 2011. http://etd.lib.metu.edu.tr/upload/12613509/index.pdf.
Full textRibeiro, Marco Paulo Ferreira. "Optimization algorithms applied to optical transport network." Master's thesis, Universidade de Aveiro, 2013. http://hdl.handle.net/10773/12692.
Full textNesta dissertação, é estudado o problema de dimensionamento das redes óticas e é descrito o desenvolvimento de uma ferramenta de planeamento e otimização. A ferramenta desenvolvida é capaz de otimizar redes reais heterogenias, em termos de capacidade e custo, permite o uso de diferentes equipamentos terminais com diferentes taxas de linha e inclui as funcionalidades de colocação de regeneradores, de multi-hop grooming e de multiplexagem inversa. Esta ferramenta de otimização foi desenvolvida de forma a tirar partido da geração atual de computadores com processadores mútiplos na abordagem multi-thread, em particular quando é implementado um mecanismo de partilha de informação entre todas as threads. Por fim, a heurística implementada na ferramenta desenvolvida, bem como as soluções geradas, são também alvo de estudo e de análise nesta disserta ção. A ferramenta desenvolvida poderá servir de base para o estudo do comportamento da rede para diferentes soluções de equipamentos, testar os limites da capacidade da rede, detetar ligações superfluas ou congestionadas, possibilitar a aglomeração ou desaglomeração de tráfego, determinar a importância de ligações distintas e selecionar locais a intervir, determinar custos de implementação de componentes ou economizar recursos.
In this dissertation, the problem of dimensioning optical networks is addressed and the development of a tool for planning and optimization is described. The developed tool is able to optimize real heterogeneous networks, in terms of capacity and cost, allowing the use of different terminal equipment with different line rates and including different features such as regenerators placement, multi-hop grooming and inverse-multiplexing. This optimization tool was developed in order to make the most out of the current generation of computers with multiple processors in a multithreaded approach, particularly when a mechanism of information sharing is implemented among all threads. Finally, the heuristic implemented in the tool and the solutions generated for a set of case studies are studied and analysed in this dissertation. The developed tool can be used in the future for the study of the network behaviour for different equipment solutions, for testing the limits of network capacity, detecting redundant or congested links, enabling grooming or inverse multiplexing of traffic, determining the importance of different links, selecting network places for intervention, determining implementation costs of components or saving resources.
Zhou, Ling. "Availability analysis and optimization in optical transport networks /." Zürich : ETH, 2007. http://e-collection.ethbib.ethz.ch/show?type=diss&nr=17191.
Full textBoiyo, Duncan Kiboi, and Romeo Gamatham. "Optimization of flexible spectrum in optical transport networks." Thesis, Nelson Mandela Metropolitan University, 2017. http://hdl.handle.net/10948/14609.
Full textAhmed, Said. "Optimization of goods transport for multimodal logistic platforms." Thesis, Lille, 2021. http://www.theses.fr/2021LILUI002.
Full textIn recent years, environmental issues are highly associated with the transport industry, modes of goods transport become more than contribution as largest between other sectors. Despite the benefits of intermodal transport, it still has negative impacts, which are associated with emission. However, pollution has become interesting between academic and industrial sectors. Thus, to mitigate the negative impacts caused by goods transport, that gains more and more relevance in the logistics domain. To meet these issue and challenges, to identify the contributions that green logistics to the optimization of freight transport, the increase the efficiency of the multimodal transport platform related optimization operations.The optimal operating of container transport is particularly important where goods transport in an environmentally way can be achieved by combining different modes of transport and coordinating activities such as finding the shortest path. In the multimodal container transport system, the selection of the transport mode and route has a large effect on the transport container transport process. In this thesis, to organize multimodal transport in a more efficient manner the container routing factor is considered along with the path factor of transport mode. The influence of the uncertain characteristics of the node operation on the transport mode and route choice in the process of converting the transport mode from containerized multimodal transport is studied. To minimize the total cost, an integer mixed programming model with time constraints is introduced. The graphical transformation is used to transform the problem into the shortest path model with random characteristics and transport time constraints in the node operations. By verifying and analyzing the results, the path obtained is acceptable from a cost and time perspective. Thus, this reducing traffic congestion and minimizing emissions. In the context of traffic congestion and emissions reduction, in this thesis a platoon technology is proposed to improve to reduce fuel consumption, road flexibility and optimize container transport operations. In this thesis, a ropeway system for the transport of small-scale goods is proposed and analyzed to reduce the traffic congestion within the urban area.The research concluded to optimization multi-modal transport platforms aims to reduce negative impacts on the environment and maximize profitability maximizing the services offered that minimize the total transportation cost as well as minimize the transportation time between each pair of Origin-Destination (O-D) nodes in the transport network. This work also contributes to reducing carbon dioxide emissions by decreasing consumption fuels and reducing operating costs. Based on this work, more effective and efficient container transport platforms can be achieved. This thesis introduces the theoretical base of optimal of multi-modal transport which can integration between different modes. Meanwhile, it contributes to logistics of multi/inter-modal transport efficiency
Books on the topic "Transport optimization"
Ardema, Mark D. Optimization of supersonic transport trajectories. Moffett Field, Calif: National Aeronautics and Space Administration, Ames Research Center, 1998.
Find full textGkiotsalitis, Konstantinos. Public Transport Optimization. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-12444-0.
Full textSchiewe, Philine. Integrated Optimization in Public Transport Planning. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-46270-3.
Full textUnited States. National Aeronautics and Space Administration., ed. High speed civil transport aerodynamic optimization. San Jose, CA: MCAT Institute, 1994.
Find full textUnited States. National Aeronautics and Space Administration., ed. High speed civil transport aerodynamic optimization. San Jose, CA: MCAT Institute, 1994.
Find full textUnited States. National Aeronautics and Space Administration., ed. Supersonic transport grid generation, validation, and optimization. [Washington, DC: National Aeronautics and Space Administration, 1995.
Find full textEspana, Martin. Direct adaptive performance optimization of subsonic transports: a periodic perturbation technique. Edwards, Calif: Dryden Flight Research Center, 1995.
Find full textPalagin, Yu I., V. A. Glinsky, and A. I. Mochalov. Intermodal transport and logistics processes. Forwarding, technology, optimization. Санкт-Петербург: Издательство "Политехника", 2019. http://dx.doi.org/10.25960/7325-1141-3.
Full textGilyard, Glenn. Development of a real-time transport performance optimization methodology. Edwards, Calif: Dryden Flight Research Center, 1996.
Find full textGroundwater optimization handbook: Flow, contaminant transport, and conjunctive management. Boca Raton, FL: Taylor & Francis, 2012.
Find full textBook chapters on the topic "Transport optimization"
Gkiotsalitis, Konstantinos. "Discrete Optimization." In Public Transport Optimization, 275–320. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-12444-0_5.
Full textTupitsa, Nazarii, Pavel Dvurechensky, Darina Dvinskikh, and Alexander Gasnikov. "Computational Optimal Transport." In Encyclopedia of Optimization, 1–17. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-030-54621-2_861-1.
Full textGkiotsalitis, Konstantinos. "Continuous Unconstrained Optimization." In Public Transport Optimization, 97–145. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-12444-0_3.
Full textGkiotsalitis, Konstantinos. "Multi-objective Optimization." In Public Transport Optimization, 355–73. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-12444-0_7.
Full textGkiotsalitis, Konstantinos. "Continuous Constrained Optimization." In Public Transport Optimization, 147–274. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-12444-0_4.
Full textGkiotsalitis, Konstantinos. "Tactical Planning of On-Demand and Shared Mobility Services." In Public Transport Optimization, 517–43. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-12444-0_12.
Full textGkiotsalitis, Konstantinos. "Introduction to Computational Complexity." In Public Transport Optimization, 71–96. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-12444-0_2.
Full textGkiotsalitis, Konstantinos. "Strategic Planning of Public Transport Services." In Public Transport Optimization, 377–434. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-12444-0_8.
Full textGkiotsalitis, Konstantinos. "Operational Planning and Control." In Public Transport Optimization, 545–87. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-12444-0_13.
Full textGkiotsalitis, Konstantinos. "Introduction to Mathematical Programming." In Public Transport Optimization, 3–70. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-12444-0_1.
Full textConference papers on the topic "Transport optimization"
Thopate, Kaushalya, Tilak Bang, Yashodhan Bankar, Mohanjeetsingh Bansal, and Awanti Bagade. "Efficient Transport Optimization." In 2023 International Conference on Advances in Electronics, Communication, Computing and Intelligent Information Systems (ICAECIS). IEEE, 2023. http://dx.doi.org/10.1109/icaecis58353.2023.10170624.
Full textMerkisz-Guranowska, A. "The optimization of vehicles recycling facility location." In URBAN TRANSPORT 2011. Southampton, UK: WIT Press, 2011. http://dx.doi.org/10.2495/ut110061.
Full textErgun, M., N. Caliskan, and S. Topuz Kiremitci. "Optimization of public bus transport in Istanbul." In URBAN TRANSPORT 2009. Southampton, UK: WIT Press, 2009. http://dx.doi.org/10.2495/ut090341.
Full textKALLE, RITESH KUMAR, PRASHANT KUMAR, SAIMA MOHAN, and MASAYUKI SAKATA. "SIMULATION-DRIVEN OPTIMIZATION OF URBAN BUS TRANSPORT." In URBAN TRANSPORT 2019. Southampton UK: WIT Press, 2019. http://dx.doi.org/10.2495/ut190091.
Full textZhang, H., J. Q. Sun, Q. J. Hui, and J. Guo. "Vehicle route optimization of Centrally Dynamic Route Guidance Systems." In URBAN TRANSPORT 2008. Southampton, UK: WIT Press, 2008. http://dx.doi.org/10.2495/ut080651.
Full textFilip, N., M. Moldovan, and C. Golgot. "Access optimization in an urban area: a case study." In Urban Transport 2012. Southampton, UK: WIT Press, 2012. http://dx.doi.org/10.2495/ut120301.
Full textFORESTIERI, GIULIA, GUIDO MARSEGLIA, and GIUSEPPE GALIANO. "RECOVERY AND OPTIMIZATION OF A FORMER RAILWAY TRANSPORT TRACK." In URBAN TRANSPORT 2019. Southampton UK: WIT Press, 2019. http://dx.doi.org/10.2495/ut190051.
Full textVEREMEY, EVGENY I., and MARGARITA SOTNIKOVA. "OPTIMIZATION APPROACH TO THE GUIDANCE AND CONTROL OF MARINE VEHICLES." In MARITIME TRANSPORT 2019. Southampton UK: WIT Press, 2019. http://dx.doi.org/10.2495/mt190051.
Full textVEREMEY, EVGENY I., and YAROSLAV V. KNYAZKIN. "MARINE SHIPS’ CONTROL FAULT DETECTION BASED ON DISCRETE H2-OPTIMIZATION." In MARITIME TRANSPORT 2019. Southampton UK: WIT Press, 2019. http://dx.doi.org/10.2495/mt190081.
Full textMB, SUSHMA, and AVIJIT MAJI. "OPTIMIZATION OF HORIZONTAL HIGHWAY ALIGNMENT USING A PATH PLANNER METHOD." In URBAN TRANSPORT 2017. Southampton UK: WIT Press, 2017. http://dx.doi.org/10.2495/ut170081.
Full textReports on the topic "Transport optimization"
Weiland, Lisa M. Nanoscale Transport Optimization. Fort Belvoir, VA: Defense Technical Information Center, December 2008. http://dx.doi.org/10.21236/ada500838.
Full textLVOVICH, Ya Ye, A. P. PREOBRAZHENSKIY, and Yu P. PREOBRAZHENSKIY. DEVELOPMENT OF AN OPTIMIZATION MODEL OF A SYSTEM FOR PROVIDING DISTRIBUTED TRANSPORT SERVICES. Science and Innovation Center Publishing House, April 2022. http://dx.doi.org/10.12731/2227-930x-2022-12-1-2-24-33.
Full textRoy, Prabir. Optimization of a buncher for High Energy H- Beam Transport. Office of Scientific and Technical Information (OSTI), August 2020. http://dx.doi.org/10.2172/1645072.
Full textAguayo Navarrete, Estanislao, Richard T. Kouzes, John L. Orrell, Douglas J. Reid, and James E. Fast. Optimization of the Transport Shield for Neutrinoless Double Beta-decay Enriched Germanium. Office of Scientific and Technical Information (OSTI), April 2012. http://dx.doi.org/10.2172/1039848.
Full textHarre, Karla, Kathleen Yager, Dave Becker, and Laura Yeh. Application of Flow and Transport Optimization Codes to Groundwater Pump-and-Treat Systems. Fort Belvoir, VA: Defense Technical Information Center, January 2004. http://dx.doi.org/10.21236/ada637119.
Full textConti, Amedeo, and Robert Dross. Transport Studies Enabling Efficiency Optimization of Cost-Competitive Fuel Cell Stacks (aka AURORA: Areal Use and Reactant Optimization at Rated Amperage). Office of Scientific and Technical Information (OSTI), December 2013. http://dx.doi.org/10.2172/1165462.
Full textAndreev, Valentin Andreevich. Models for determining optimal routes for transportation of municipal solid waste and distribution of their volumes. Institute for Regional Economic Studies Russian Academy of Science, September 2023. http://dx.doi.org/10.52897/tms-2023-11-09.
Full textMinsker, Barbara, Yan Zhang, Robert Greenwald, Richard Peralta, and Chunmiao Zheng. Application of Flow and Transport Optimization Codes to Groundwater Pump and Treat Systems- Volume III. Fort Belvoir, VA: Defense Technical Information Center, January 2004. http://dx.doi.org/10.21236/ada423251.
Full textMinsker, Barbara, Yan Zhang, Robert Greenwald, Richard Peralta, and Chunmiao Zheng. Application of Flow and Transport Optimization Codes to Groundwater Pump and Treat Systems- Volume 1. Fort Belvoir, VA: Defense Technical Information Center, January 2004. http://dx.doi.org/10.21236/ada423252.
Full textMinsker, Barbara, Yan Zhang, Robert Greenwald, Richard Peralta, and Chunmiao Zheng. Application of Flow and Transport Optimization Codes to Groundwater Pump and Treat Systems- VOLUME 2. Fort Belvoir, VA: Defense Technical Information Center, January 2004. http://dx.doi.org/10.21236/ada423253.
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