Journal articles: 'Transportation network'

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PELLEGRINI, Lilla, Monica LEBA, and Alexandru IOVANOVICI. "CHARACTERIZATION OF URBAN TRANSPORTATION NETWORKS USING NETWORK MOTIFS." Acta Electrotechnica et Informatica 20, no. 4 (January 21, 2020): 3–9. http://dx.doi.org/10.15546/aeei-2020-0019.

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We use tools and techniques specific to the field of complex networks analysis for the identification and extraction of key parameters which define ”good” patterns and practices for designing public transportation networks. Using network motifs we analyze a set of 18 cities using public data sets regarding the topology of network and discuss each of the identified motifs using the concepts and tools of urban planning.

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Perna, Andrea, and Tanya Latty. "Animal transportation networks." Journal of The Royal Society Interface 11, no. 100 (November 6, 2014): 20140334. http://dx.doi.org/10.1098/rsif.2014.0334.

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Many group-living animals construct transportation networks of trails, galleries and burrows by modifying the environment to facilitate faster, safer or more efficient movement. Animal transportation networks can have direct influences on the fitness of individuals, whereas the shape and structure of transportation networks can influence community dynamics by facilitating contacts between different individuals and species. In this review, we discuss three key areas in the study of animal transportation networks: the topological properties of networks, network morphogenesis and growth, and the behaviour of network users. We present a brief primer on elements of network theory, and then discuss the different ways in which animal groups deal with the fundamental trade-off between the competing network properties of travel efficiency, robustness and infrastructure cost. We consider how the behaviour of network users can impact network efficiency, and call for studies that integrate both network topology and user behaviour. We finish with a prospectus for future research.

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Sachin Kumar, Sachin Kumar, Agam Damaraju Sachin Kumar, Aditya Kumar Agam Damaraju, Saru Kumari Aditya Kumar, and Chien-Ming Chen Saru Kumari. "LSTM Network for Transportation Mode Detection." 網際網路技術學刊 22, no. 4 (July 2021): 891–902. http://dx.doi.org/10.53106/160792642021072204016.

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PALÚCH, Stanislav, Štefan PEŠKO, Tomáš MAJER, and Jan ČERNÝ. "Transportation network reduction." Transport Problems 10, no. 2 (2017): 69–74. http://dx.doi.org/10.21307/tp-2015-021.

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Du, Qianqian, Kunihiro Kishi, Nobunori Aiura, and Takashi Nakatsuji. "Transportation Network Vulnerability." Transportation Research Record: Journal of the Transportation Research Board 2410, no. 1 (January 2014): 96–104. http://dx.doi.org/10.3141/2410-11.

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Lam, William H. K., Hong K. Lo, and S. C. Wong. "Transportation Network Reliability." Transportmetrica B: Transport Dynamics 1, no. 3 (December 2013): 171–73. http://dx.doi.org/10.1080/21680566.2013.874218.

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Liu, Yaoxuan. "Analysis of network resilienceon global air transportation." Applied and Computational Engineering 6, no. 1 (June 14, 2023): 67–75. http://dx.doi.org/10.54254/2755-2721/6/20230678.

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Small-world network is a very common network structure, which is characterized by low average degree, small average path length and high centrality. At the same time, small-world networks have high resilience to random errors and low resilience to targeted attacks. In this study, the importance of nodes is represented by attributes such as degree and centrality, and attacks refer to the removal of important nodes. The network is attacked according to the degree, betweenness and closeness centrality to observe the power distribution. The data is mainly obtained from the open source OpenFlight. Gephi, Python, and Excel are used as tools. Gephi is used for network visualization and analysis. The third-party python libraries Pandas, Matplotlib, and NetworkX were used in this study to deal with the things that Gephi can't compute or represent well, and then plot the corresponding graphs with Matplotlib. The work of cleaning data is mainly done by excel.

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Tarapata, Zbigniew. "Modelling and analysis of transportation networks using complex networks: Poland case study." Archives of Transport 36, no. 4 (December 31, 2015): 55–65. http://dx.doi.org/10.5604/08669546.1185207.

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In the paper a theoretical bases and empirical results deal with analysis and modelling of transportation networks in Poland using complex networks have been presented. Properties of complex networks (Scale Free and Small World) and network's characteristic measures have been described. In this context, results of empirical researches connected with characteristics of passenger air links network, express railway links network (EuroCity and InterCity) and expressways/highways network in Poland have been given. For passenger air links network in Poland results are compared with the same networks in USA, China, India, Italy and Spain. In the conclusion some suggestions, observations and perspective dealing with complex network in transportation networks have been presented.

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Hsiao, Chieh-Yu, and Mark Hansen. "Air Transportation Network Flows." Transportation Research Record: Journal of the Transportation Research Board 1915, no. 1 (January 2005): 12–19. http://dx.doi.org/10.1177/0361198105191500102.

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Passenger flow is an important planning factor in an air transportation system. However, forecasting segment (link) and airport flows becomes more complicated in a hub-and-spoke system since segment flows are the aggregations of route flows, and the number of routes increases with hubbing activities. This research develops an equilibrium model considering certain important characteristics of an air transportation system such as distance, airport delay, airline competition, and networks to predict segment and airport passenger flows from the viewpoint of the whole system. The major features of the model include ( a) treatment of segment flows and airport delays as endogenous by considering the feedback of assigned segment flows and their impacts on airports; ( b) reflecting the flexibility of air networks, a start with all links between all airports as the potential network and determination of the predicted network according to the equilibrium flows on segments; and ( c) connection of key elements of the system so that it can evaluate the system impacts of some element changes. The model is demonstrated by applying it to the National Airspace System of the United States. Several characteristics of the model are also investigated. In addition, a policy experiment shows that improvement of an airport not only affects the airport itself but also changes the flows and performance of other airports–-the model can be a tool for evaluating systemwide effects. Finally, the model's limitations and possible remedies are discussed.

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Bowen, John T. "An Analysis of Amazon Air's Network in the United States." Transportation Journal 61, no. 1 (January 1, 2022): 103–17. http://dx.doi.org/10.5325/transportationj.61.1.0103.

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Abstract Using data on 12 months of operations, Amazon Air's network is contrasted to the domestic networks of FedEx Express and UPS Airlines. Amazon Air has a lower network density than the other two airlines, and its geography is more strongly related to Amazon's distribution centers. Like UPS and FedEx, Amazon has placed its main hub at a location in the central United States: first Wilmington, Ohio and more recently Cincinnati. The acceleration of online retail trade since the onset of the COVID-19 pandemic may encourage other digitally native or incumbent retail firms to develop their own air distribution networks. The criteria that distinguish Amazon Air's gateway airports are identified and then those criteria are applied to all public US airports to detect others that might be suitable for incorporation into a retail distribution air network.

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Woyciechowicz, Anais, and Rebecca Shliselberg. "Wayfinding in Public Transportation." Transportation Research Record: Journal of the Transportation Research Board 1903, no. 1 (January 2005): 35–42. http://dx.doi.org/10.1177/0361198105190300105.

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The Israeli Ministry of Transport initiated a project to restructure the bus network in the Metropolitan Tel Aviv, Israel, area, as part of a program to improve transit patronage. In addition to examining improvements in travel times, the project addressed ways to make the bus network easier to use. A study identified system legibility as a barrier to use. To evaluate alternative networks, a team of transportation planners developed a set of measures to evaluate the legibility of a transit network. The measures are a synthesis of common principles for city planning, transportation planning, and cognitive processes of wayfinding. These measures allow public transportation planners to evaluate the inherent legibility of various public transportation networks before the addition of navigational aids, such as maps, diagrams, signs, and others.

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Albi, Giacomo, Marco Artina, Massimo Foransier, and Peter A. Markowich. "Biological transportation networks: Modeling and simulation." Analysis and Applications 14, no. 01 (January 2016): 185–206. http://dx.doi.org/10.1142/s0219530515400059.

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We present a model for biological network formation originally introduced by Cai and Hu [Adaptation and optimization of biological transport networks, Phys. Rev. Lett. 111 (2013) 138701]. The modeling of fluid transportation (e.g., leaf venation and angiogenesis) and ion transportation networks (e.g., neural networks) is explained in detail and basic analytical features like the gradient flow structure of the fluid transportation network model and the impact of the model parameters on the geometry and topology of network formation are analyzed. We also present a numerical finite-element based discretization scheme and discuss sample cases of network formation simulations.

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Benjamin George Abraham, Jibin Varghese, Akhil Reji M, Jibin Antony, and Giji Joseph. "TRANSFORMING TRANSPORTATION." international journal of engineering technology and management sciences 7, no. 4 (2023): 399–409. http://dx.doi.org/10.46647/ijetms.2023.v07i04.054.

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The world of transportation is changing. Due to increasing mobility demand, challenges like financing, dealing with emissions and volatile oil prices are going up. Decision-makers in the areas of policy and planning have to address these challenges and have try to develop a transportation system capable of meeting the future needs of society and the economy. This paper shows the results of future-oriented research. We first investigate a distributed dynamic computation offloading model for multi-access edge computing (MEC) enabled CITS under a heterogeneous road network, in which the multiple and heterogeneous computing power sources cooperatively provide computation offloading services for vehicles then to ensure smooth transmission of the overwhelming amounts of data, existing wireless transmission technologies have become increasingly insufficient. 5G, which succeeds 4G (LTE, WiMAX) and 3G (UMTS) and promises data rates of 20 Gbps, can help in this regard and Vehicular ad-hoc networks (VANETs) are the specific sort of ad-hoc networks that are utilized in intelligent transportation systems (ITS). VANETs have become one of the most reassuring, promising, and quickest developing subsets of the mobile ad-hoc networks (MANETs). They include smart vehicles, roadside units (RSUs), and on-board units (OBUs) which correspond through inconsistent wireless network. In this study we discuss and elaborate the challenges, along with the applications, and the future directions of transforming transportation using embracing the potential of 5G, Heterogeneous Networks, and Software Defined Networking in Intelligent Transportation Systems. At the end we provide the conclusion of the whole study.

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Chen, Minzhi, Fan Wu, Min Yin, and Jiangang Xu. "Impact of Road Network Topology on Public Transportation Development." Wireless Communications and Mobile Computing 2021 (November 30, 2021): 1–11. http://dx.doi.org/10.1155/2021/6209592.

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Planning of road networks is fundamental for public transportation. The impact of road network density on public transportation has been extensively studied, but few studies in this regard involved evaluation indicators for connectivity and layout of road networks. With 29 cities in China as the study cases, this paper quantifies the layout structure of the road network based on the network’s betweenness centralization and establishes a multivariate linear regression model to perform regression of the logarithm of the frequency of per capita public transportation on betweenness centralization. It is found in the present work that there is a significant correlation between the layout structure of an urban road network and the residents’ utilization degree of public transportation. A greater betweenness centralization of the urban road network, namely a more centralized road network, means a higher frequency of per capita public transportation of urban residents and a higher degree of the residents’ utilization of public transportation. In the development of public transportation, centralized and axial-shaped layout structures of road networks can be promoted to improve the utilization of public transportation.

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Moran, Maarit, and Philip Lasley. "Legislating Transportation Network Companies." Transportation Research Record: Journal of the Transportation Research Board 2650, no. 1 (January 2017): 163–71. http://dx.doi.org/10.3141/2650-19.

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The rapid expansion of transportation network companies (TNCs), such as Uber and Lyft, has led policy makers across the country to consider legislation to legalize and regulate TNC operations. In 2012, TNCs introduced a new travel option that used digital technology to provide an on-demand and highly automated private ride service, which has received support from consumers and investors. The emergence of TNCs has generated uncertainty about the legal status of TNC services, criticism from the taxicab industry, and concerns about public safety. In almost every U.S. state, policy makers have considered TNC legislation to address these issues, but there is no comprehensive source of information on the content of these policies. In this study, researchers systematically compiled a database of state TNC legislation and evaluated a set of policy issues addressed in the legislation. Thirty-four states and Washington, D.C., enacted legislation to authorize TNC operations through May 2016. These laws addressed policy areas including permits and fees, insurance and financial responsibility, driver and vehicle requirements, operational requirements, passenger protections, data reporting, and regulatory and rulemaking authority. This database can help policy makers navigate the evolving policy considerations presented by the rising popularity—and accompanying controversy—of TNCs. Key policy questions that emerged from this review of state TNC legislation include whether to regulate TNCs; if so, at what level of government; how to harmonize TNC policies with existing taxi and transportation policies; and how to address public safety without suppressing market competition.

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Xu, Xiangdong, Anthony Chen, Sarawut Jansuwan, Kevin Heaslip, and Chao Yang. "Modeling Transportation Network Redundancy." Transportation Research Procedia 9 (2015): 283–302. http://dx.doi.org/10.1016/j.trpro.2015.07.016.

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Kuang, Zhonghong, Vladimir V. Mazalov, Xindi Tang, and Jie Zheng. "Transportation network with externalities." Journal of Computational and Applied Mathematics 382 (January 2021): 113091. http://dx.doi.org/10.1016/j.cam.2020.113091.

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Galychyn, Oleksandr, Shqiprim Ahmeti, and Kevser Ustundag. "Organic Transportation Networks: Human-Oriented Renewal of Modern Megapolises." Academic Research Community publication 3, no. 2 (October 24, 2019): 294. http://dx.doi.org/10.21625/archive.v3i2.617.

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Studies related to the growth of the transportation networks from the second half of the 20th century have constantly been focused on the topological complexity of motorized & public transportation network (internal geometry & dynamics, occupied space, and geographical settings), or the structural properties (complexity of network structure). However, those studies have failed to incorporate the concept of an integrated public-soft transportation network, and the human-oriented transportation system, and its structural elements: soft transportation network, accessible nodes called Transit-Oriented Developments (TODs), healthy neighborhoods and, most importantly, its attributes. Additionally, the relative location (urban geographical settings) haven't been conceptualized in their models.In this paper, the ontological frameworks of an integrated public-soft transportation network and human-oriented transportation system will be proposed. Secondly, the attributes of those networks will be determined by comparing the integrated public-soft transportation network in Finland (Helsinki) with ordinary one in Italy (Rome) through the human-oriented transportation system framework. Thirdly, the applicability of the concept of human-oriented transportation system in Bozcaada (Tenedos) Island will be discussed. Thus, a new conceptual model of the human oriented transportation system will be proposed.

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Lordan, Oriol, and Jose M. Sallan. "Dynamic measures for transportation networks." PLOS ONE 15, no. 12 (December 3, 2020): e0242875. http://dx.doi.org/10.1371/journal.pone.0242875.

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Most complex network analyses of transportation systems use simplified static representations obtained from existing connections in a time horizon. In static representations, travel times, waiting times and compatibility of schedules are neglected, thus losing relevant information. To obtain a more accurate description of transportation networks, we use a dynamic representation that considers synced paths and that includes waiting times to compute shortest paths. We use the shortest paths to define dynamic network, node and edge measures to analyse the topology of transportation networks, comparable with measures obtained from static representations. We illustrate the application of these measures with a toy model and a real transportation network built from schedules of a low-cost carrier. Results show remarkable differences between measures of static and dynamic representations, demonstrating the limitations of the static representation to obtain accurate information of transportation networks.

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Tzes, A., Seongho Kim, and W. R. McShane. "Applications of Petri networks to transportation network modeling." IEEE Transactions on Vehicular Technology 45, no. 2 (May 1996): 391–400. http://dx.doi.org/10.1109/25.492914.

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Jiang, Jian, Rui Zhang, Long Guo, Wei Li, and Xu Cai. "Network Aggregation Process in Multilayer Air Transportation Networks." Chinese Physics Letters 33, no. 10 (October 2016): 108901. http://dx.doi.org/10.1088/0256-307x/33/10/108901.

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Qiao, Jin Suo, Xi Fu Wang, Xi Sheng Shen, and Chao Zheng. "Analysis on China's Coal Transportation Network Complexity." Applied Mechanics and Materials 373-375 (August 2013): 1670–73. http://dx.doi.org/10.4028/www.scientific.net/amm.373-375.1670.

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Based on the basic theory of complex networks, this paper introduces the basic concept and constitution of coal transport network, summarizs the characteristics of the coal transportation network.Then through principles of coal transportation network topology abstraction,we establishe the model of coal network topology, and analyses the internal and external complexity factors on coal transportation network.

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Chen, Sihong, Jianchao Xi, Menghao Liu, and Tao Li. "Analysis of Complex Transportation Network and Its Tourism Utilization Potential: A Case Study of Guizhou Expressways." Complexity 2020 (July 6, 2020): 1–22. http://dx.doi.org/10.1155/2020/1042506.

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Transportation is an example of a typical, open, fluid complex network system. Expressways are one form of complex transportation networks, and expressway service areas serve as infrastructure nodes in the expressway transportation network; hence, their construction has a significant impact on tourism development and utilization. Domestic and foreign studies on complex transportation networks have mostly been conducted from the perspective of railways, air transport, and urban transportation but seldom on expressway transportation networks. This study employed complex network theory, social network analysis, kernel density analysis, and bivariate autocorrelation to characterize the spatial structure of expressway transport networks in terms of geographical centrality. By innovating the coupling of geographical centrality and passenger flow centrality in clustering, the study also quantitatively analyzed the differences between the geographical advantage and actual passenger flow advantage of China’s Guizhou expressway transportation network to analyze the tourism utilization potential of expressway service areas. We found that (1) the geographical centrality of the Guizhou expressway transportation network ranged from −1.28 to 3.33, and its distribution shows a single-core, polyconcentric dispersed spatial structure; (2) the passenger-car flow rate ranged from 15,000 to 3.66 million, and its distribution showed a dual-core, polycentric dispersed structure that is weakly concentric; and (3) there was a positive correlation of 0.22 between the geographical centrality and passenger flow of the Guizhou expressway transportation network, which showed seven cluster types—“high-high,” “moderately high-high,” “low-high,” “moderately low-high,” “high-low,” “moderately high-low,” and “low-low”—for which seven corresponding models of tourism development were proposed. This study broadens the practical application of traffic network complexity research and provides a scientific basis for upgrading and transforming the Guizhou expressway transportation network as well as for developing composite tourism uses for expressway service areas.

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Miao, Yu, and Anning Ni. "Vulnerability Analysis of Intercity Multimode Transportation Networks; A Case Study of the Yangtze River Delta." Sustainability 11, no. 8 (April 13, 2019): 2237. http://dx.doi.org/10.3390/su11082237.

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The disruption of an intercity transportation network will seriously influence the economic activities and communication between cities. At the regional or national transportation network level, in most cases, there is no link redundancy because of the high construction cost of the extra transportation infrastructure, so the impacts caused by the disruption of regional intercity transportation networks should be paid more attention. This paper proposes an accessibility-based method to analyze the vulnerability of multimode transportation networks. The measurement captures the influence of the disruption of network components in terms of the travel cost, socio-economic impacts, and level of transportation service of cities, and besides the network vulnerability analysis, it can also be used in the analysis of city relationships and development status of cities, providing a reference direction of the sustainable development for the city cluster. Finally, with the rapid application of high-speed trains in China, a preliminary study of the public transportation network of the Yangtze River Delta (YRD) region is conducted to illustrate the applicability of the evaluating method. The results show that the proposed measurement can be used to analyze the transportation network from the perspective of socio-economic impacts and level of transportation service, providing a reference for network planners and managers.

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Jawad, Shafqat, and Junyong Liu. "Electrical Vehicle Charging Services Planning and Operation with Interdependent Power Networks and Transportation Networks: A Review of the Current Scenario and Future Trends." Energies 13, no. 13 (July 1, 2020): 3371. http://dx.doi.org/10.3390/en13133371.

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The growing trend in electrical vehicle (EV) deployment has transformed independent power network and transportation network studies into highly congested interdependent network performance evaluations assessing their impact on power and transportation systems. Electrified transportation is highly capable of intensifying the interdependent correlations across charging service, transportation, and power networks. However, the evaluation of the complex coupled relationship across charging services, transportation, and power networks poses several challenges, including an impact on charging scheduling, traffic congestion, charging loads on the power grid, and high costs. Therefore, this article presents comparative survey analytics of large-scale EV integration’s impact on charging service network scheduling, transportation networks, and power networks. Moreover, price mechanism strategies to determine the charging fares, minimize investment profits, diminish traffic congestion, and reduce power distribution constraints under the influence of various factors were carried out. Additionally, the survey analysis stipulates the interdependent network performance index, ascertaining travel distance, route selection, long-term and short-term planning, and different infrastructure strategies. Finally, the limitations of the proposed study, potential research trends, and critical technologies are demonstrated for future inquiries.

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Sun, Li Na, Hong Sheng Sun, and Ya Long Zhao. "Analysis on Coal Transportation Network Invulnerability Based on Edge Failure." Advanced Materials Research 919-921 (April 2014): 1075–78. http://dx.doi.org/10.4028/www.scientific.net/amr.919-921.1075.

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Coal transportation network is mainly integrated transport network of rail, road and waterway transport modes composed. Transport routes play a crucial role for transport networks normal operation. This paper combine with the definition of coal transportation network invulnerability based on edge failure and attack strategy, proposing invulnerability assessment method, combining with China's coal transportation network to analyze network invulnerability in case of side failure.

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Choi, Young, and Minho Ahn. "Telecommunication, Transportation, and Trade in the Pacific Basin Community." International Area Review 1, no. 1 (December 1997): 25–51. http://dx.doi.org/10.1177/223386599700100103.

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This paper examines the telecommunication, transportation, and trade networks and tests structural relationships among the countries in the Pacific basin community. An attempt is made to show that the relations or locations of nations in the Pacific Rim could be meaningfully conceptualized as flows of transactions between countries and subjected to systematic empirical analysis. In sum, the various indicators, such as system density, connectedness, number of links, integrativeness, from NEGOPY network analysis reveal a similar structure for the telecommunication, the transportation, and the trade networks. There is one group with some of the advanced industrialized countries such as Japan and the United States at the center for all three networks, confirming the replication of inequalities in political and economic area. The telephone is one of the “space-adjusting” technologies that change the distance among countries and allows for higher degrees of accessibility to remote locations. No nation is identified as an isolate in the telecommunication network, whereas four nations are identified as isolates in the transportation network. Geographical distance may affect the transportation network. The results of correspondence analysis reveal that the transportation and the trade network show a similar pattern of radial structure, although the radial structure of the trade network is weaker than that of the transportation network. Each arm in the both networks is composed of regional neighbor nations. This suggests that both networks in the Pacific basin community are, in part, organized by physical location. This is also shown in the telecommunication network.

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Marpaung, Faridawaty, Arnita Arnita, and Nila Sari. "Maximal Flow of Transportation Network in Medan City Using Ford-Fulkerson Algorithm." International Journal of Science, Technology & Management 4, no. 1 (January 9, 2023): 100–106. http://dx.doi.org/10.46729/ijstm.v4i1.724.

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Transportation is a major component of living, government, and social systems. Tsocio-demographic conditions influence the performance. In this study has a purpose as an investigation of an event that measures the maximal capacity of the road as a way to overcome congestion. Searching for the maximal flow based upon the graph formed using the Ford-Fulkerson Algorithm with numerous stages, namely determining the possible pathway through the source point to the main point arranged in numerous iterations by analyzing the graph formed. Then the initialization process is given by zero flow from each side of the graph, then the search for maximal flow is obtained after doing as many as 16 iterations. The residual flow results from subtracting the total number of flows by the number of flows at each iteration. The iteration will stop if no more augmenting pathway is found. Cuts will occur if the amount of flow equals the amount of capacity. Research data is in the form of public transportations in Medan and routes. The data was obtained directly from the archives of the Transportation Service in Medan City. The search for the maximal flow of the transportation network is carried out by observing the public transportation route in the city of Medan, namely the public transportation route through Jalan Jamin Ginting to Jl. Various types of public transportation traverse Williem Iskandar. Based upon the research, the maximal capacity can be exceeded through the transportation network. There are 5 types of public transportations. The pathway through City Hall - Jl. Putri Hijau and the pathway through Jl. Perintis Kemerdekaan–Jl. HM. Yamin has exceeded capacity because the types of public transportation that pass through the two roads are 15 and 9. However, the other lanes are still low, so it should divert some types of public transportation overload to empty roads.

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Perincherry, Vijay, John E. Evans, and Amy Bradstreet. "Application of Relational Data Base Structure for Managing Network Information." Transportation Research Record: Journal of the Transportation Research Board 1551, no. 1 (January 1996): 18–25. http://dx.doi.org/10.1177/0361198196155100103.

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Working with transportation networks can be tedious and confusing. Most transportation modeling packages available treat components of a transportation network independently and require coding complete networks for all alternatives. This approach has several weaknesses: it is time consuming, requires duplicate information to be stored for each alternative, and misrepresents the interactive nature of the many network attributes. A relational data base structure in conjunction with effective network management software can be used to capture the interrelationship of network characteristics, facilitate network updates, and maintain all the network scenarios in one data file. The approach, benefits, and implementation of such a system are described.

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Vasiliauskas, Aidas Vasilis. "MODELLING OF INTERMODAL FREIGHT TRANSPORTATION NETWORK." TRANSPORT 17, no. 3 (June 30, 2002): 117–21. http://dx.doi.org/10.3846/16483840.2002.10414024.

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It was realized long ago that one of the main factors for steady groowing economic of the country is a properly working transport system in which new enough means of cargo transportation, so called intermodal transportation takes not the last place. First of all it raises problems related with the development and optimization of proper infrastructure - the network of roads and terminals which aim to carry out intermodal transportation. The article deals with one of possible ways of modelling the national intermodal freight transportation network. The basis for such model is the investigation of freight traffic during which we identifY the routes for intermodal freight transportation (as well as places where such freight is shifted from one mode of transport to another), extend the existing statistic date base on modal transport carriages and start to develop a new data base on intermodal freight carriages. With the help of the last one we can go further in modelling national intermodal freight transportation network and determine the steps for creating such network. The main steps should include: - the integration of the particular modal networks into a general intermodal network; - the optimization of the network defining optimal routes between possible origin and destination points; - the estimation of terminal operations to get a more detailed and optimal view of the national intermodal cargo transportation network.

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DA F. COSTA, L., F. A. RODRIGUES, and P. R. VILLAS BOAS. "MODELING THE EVOLUTION OF COMPLEX NETWORKS THROUGH THE PATH-STAR TRANSFORMATION AND OPTIMAL MULTIVARIATE METHODS." International Journal of Bifurcation and Chaos 20, no. 03 (March 2010): 795–804. http://dx.doi.org/10.1142/s0218127410026083.

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The topology of real-world complex networks, such as in transportation and communication, is always changing with time. Such changes can arise not only as a natural consequence of their growth, but also due to major modifications in their intrinsic organization. For instance, the network of transportation routes between cities and towns (hence locations) of a given country undergo a major change with the progressive implementation of commercial air transportation. While the locations could be originally interconnected through highways (paths, giving rise to geographical networks), transportation between those sites progressively shifted or was complemented by air transportation, with scale free characteristics. In the present work we introduce the path-star transformation (in its uniform and preferential versions) as a means to model such network transformations where paths give rise to stars of connectivity. It is also shown, through optimal multivariate statistical methods (i.e. canonical projections and maximum likelihood classification) that while the US highways network adheres closely to a geographical network model, its path-star transformation yields a network whose topological properties closely resembles those of the respective airport transportation network.

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Hong, Jungyeol, Reuben Tamakloe, Soobeom Lee, and Dongjoo Park. "Exploring the Topological Characteristics of Complex Public Transportation Networks: Focus on Variations in Both Single and Integrated Systems in the Seoul Metropolitan Area." Sustainability 11, no. 19 (September 29, 2019): 5404. http://dx.doi.org/10.3390/su11195404.

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Many cities have integrated their public transportation modes to provide increased accessibility and reduced commute times. However, current transport network topology studies have focused on unimodal networks. Therefore, it is of significant interest for policymakers to examine the topology of integrated public transportation networks and to assess strategies for improving them. The objective of this study was to discuss a comprehensive analysis of an integrated public transportation network using graph theory, compare its characteristics to unimodal networks, and draw insights for improving their performance. Results demonstrate pertinent information concerning the structural composition of the Seoul Metropolitan Area’s (SMA) public transportation network. Despite the integration, the spatial configuration of the network was found to have low fault tolerance. However, the highly agglomerated community structure validated the robustness of integrated networks. Network centrality measures confirmed that integration improves connectivity and spatial accessibility to suburbs within the city. The study found that the SMA’s current public transportation network possesses structural defects that need to be addressed to improve its resilience and performance. Based on the outcomes of this study, the strategic creation or relocation of stations, and the construction of more links, is imperative for the enhancement of mobility.

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Sathisan, Shashi K., and Nanda Srinivasan. "Evaluation of Accessibility of Urban Transportation Networks." Transportation Research Record: Journal of the Transportation Research Board 1617, no. 1 (January 1998): 78–83. http://dx.doi.org/10.3141/1617-11.

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A framework is presented for evaluating the accessibility of urban networks to the transportation needs in urban areas. Accessibility has been defined from the point of view of the network configuration and its relationship to key factors influencing travel demand. The definition is a departure from the traditional methods of accessibility, which primarily describe the interaction of people and places. The definition in this study helps in assessing the interaction between the trip maker and the transportation network, thus helping in an evaluation of the utility of the network to trips in a study region. The methodology uses the computational capabilities of a geographic information system and relates them to the traditional urban transportation planning process. Specific indexes are presented to quantify the accessibility of the network with respect to key factors influencing trip production and attraction. The methodology presented is applicable to the analysis of accessibility of other transportation system networks and to comparisons of the accessibilities of networks of different urban areas.

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Huang, Lei, Haifeng Huang, and Ying Wang. "Resilience Analysis of Traffic Network under Emergencies: A Case Study of Bus Transit Network." Applied Sciences 13, no. 15 (July 31, 2023): 8835. http://dx.doi.org/10.3390/app13158835.

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With the continuous development of public transportation, the impact of unexpected events on the operation of bus networks has become increasingly severe due to the growing demand for public transportation and passenger volume. To accurately assess the impact of unexpected events on the operation of bus networks and scientifically evaluate their resilience, this paper proposes a framework for analyzing the resilience of bus networks. With the aim of providing scientific evidence to enhance the reliability of public transportation networks, this framework can be used to determine the resilience of bus networks to unexpected events. The main contributions of this framework include three aspects: 1. Construction of the CRITIC–entropy weighting model for screening and calculating key indicators of the resilience of the bus network; 2. Use of resilience cycle theory to construct a model for analyzing the resilience of bus routes, and design a set of resilience quantification factors to calculate the resilience of bus routes; 3. Use of complex network theory to construct a model for analyzing the resilience of the bus network, by taking the bus route resilience obtained in the second step as the edge weight to calculate the resilience of the bus network. This paper takes the Beijing public transit system as an example and uses real data to verify the accuracy, scientificity, and feasibility of the proposed framework for analyzing the resilience of public transit networks to sudden events. The resilience analysis framework constructed in this paper has improved the existing research on transportation network resilience in theoretical aspects. Furthermore, the results outputted by this framework can provide a decision-making basis for network adjustment and disaster recovery for the management departments of public transportation networks in practical applications.

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MALONI, MICHAEL, and ERIC C. JACKSON. "North American Container Port Capacity: A Literature Review." Transportation Journal 44, no. 2 (2005): 16–36. http://dx.doi.org/10.5325/transportationj.44.2.0016.

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Abstract International marine container volumes have surged over the last several decades, but North American ports and their supporting container distribution networks have struggled to increase capacity to match this expansion. This article seeks to review and organize existing container network capacity literature into a taxonomy based on the interrelated stakeholders of container flows. The article first establishes the industry capacity situation, then examines research of capacity influences from stakeholders, including port authorities, terminal operators, longshore labor, shippers, railroads, drayage carriers, intermediaries, ocean carriers, governments, and local communities. Ultimately, the article attempts to establish the urgency of container network capacity problems and identify areas needing further research.

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Lee, Carman K. M., Shuzhu Zhang, and Kam K. H. Ng. "Design of An Integration Model for Air Cargo Transportation Network Design and Flight Route Selection." Sustainability 11, no. 19 (September 23, 2019): 5197. http://dx.doi.org/10.3390/su11195197.

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Air cargo transportation is an essential component in the freight transportation market, primarily due to the transportation requirements of time-sensitive products. Air cargo transportation plays an increasingly important role alongside economic development. Cargo flight network design and fleet routing selection significantly affect the performance of the air cargo transportation. In this research, we propose an integrated model simultaneously considering cargo flight network design and the fleet routing selection for the air cargo transportation. Two transportation modes, the direct transportation mode in point-to-point networks and the transshipment mode in hub-and-spoke networks, are compared. In order to solve the proposed optimization problem, a swarm-intelligence-based algorithm is adapted. Numerical experiments were conducted to examine and validate the effectiveness and efficiency of the proposed model and algorithm. The computational results suggest that the proper settings of hub and transshipment route selection in an air cargo transportation network can significantly reduce the transportation cost, which can provide practical managerial insights for the air cargo transportation industry.

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Yang, Jia Xuan. "Ship Transportation Forecasting Based on Extension Neural Network." Applied Mechanics and Materials 241-244 (December 2012): 2055–58. http://dx.doi.org/10.4028/www.scientific.net/amm.241-244.2055.

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Over the last decade, neural networks have found application for solving a wide range of areas from business, commerce, data mining and service systems. Hence, this paper constructs a new model based extension theory and neural network to forecast the ship transportation. The new neural network is a combination of extension theory and neural network. It uses an extension distance to measure the similarity between data and cluster center, and seek out the useless data, then to use neural network to forecast. When presenting a test example of prediction of ship transportation, the results verifies the effectiveness and applicability of the novel extension neural network. Compared with other forecasting techniques, especially other various neural networks, the extension neural network permits an adaptive process for significant and new information, and gives simpler structure, shorter learning times and higher accuracy.

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CARDINAL, JEAN, MARTINE LABBÉ, STEFAN LANGERMAN, and BELÉN PALOP. "PRICING GEOMETRIC TRANSPORTATION NETWORKS." International Journal of Computational Geometry & Applications 19, no. 06 (December 2009): 507–20. http://dx.doi.org/10.1142/s021819590900309x.

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We propose algorithms for pricing a transportation network in such a way that the profit generated by the customers is maximized. We model the transportation network as a subset of the plane and take into account the fact that the customers minimize their own transportation cost. The underlying theory is a two-player game model called Stackelberg games. We propose algorithms for the cases where the fare does and does not depend on the distance traveled, in the L1 or L2 metrics. In particular, we propose an O(n log n) algorithm for optimal pricing of a highway under the L2 metric, and an O(nk log n log 3 k) algorithm for orthogonally convex networks of complexity O(k) under the L1 metric.

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Mate, Jean-Luc. "Extended network in automotive transportation." IFAC Proceedings Volumes 40, no. 22 (2007): 59. http://dx.doi.org/10.3182/20071107-3-fr-3907.00007.

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Sagers, Matthew, and Thomas Maraffa. "Soviet Air-Passenger Transportation Network." Geographical Review 80, no. 3 (July 1990): 266. http://dx.doi.org/10.2307/215304.

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Sun, Lijun, and Iyad Rahwan. "Coauthorship network in transportation research." Transportation Research Part A: Policy and Practice 100 (June 2017): 135–51. http://dx.doi.org/10.1016/j.tra.2017.04.011.

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Liang, Jeffrey. "Numerical Algorithm for Transportation Network." Journal of Applied Mathematics and Computation 7, no. 2 (July 31, 2023): 317–23. http://dx.doi.org/10.26855/jamc.2023.06.014.

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Yang, Yong, Kai-Jun Xu, and Chen Hong. "Network dynamics on the Chinese air transportation multilayer network." International Journal of Modern Physics C 32, no. 05 (February 4, 2021): 2150070. http://dx.doi.org/10.1142/s0129183121500704.

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Air transportation networks play important roles in human mobility. In this paper, from the perspective of multilayer network mechanism, the dynamics of the Chinese air transportation network are extensively investigated. A multilayer-based passengers re-scheduling model is introduced, and a multilayer cooperation (MC) approach is proposed to improve the efficiency of network traffic under random failures. We use two metrics: the success rate and the extra transfer number, to evaluate the efficiency of re-scheduling. It is found that a higher success rate of passengers re-scheduling can be obtained by MC, and MC is stronger for resisting the instability of the capacity of links. Furthermore, the explosion of the number of extra transfer can be well restrained by MC. Our work will highlight a better understanding of the dynamics and robustness of the Chinese air transportation network.

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Xu, Hong, Jin Zhao, Xincan Yu, Xiaoxia Mei, Xinle Zhang, and Chuanjie Yan. "A Model Assembly Approach of Planning Urban–Rural Transportation Network: A Case Study of Jiangxia District, Wuhan, China." Sustainability 15, no. 15 (August 2, 2023): 11876. http://dx.doi.org/10.3390/su151511876.

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Planning transportation networks between urban and rural areas is of crucial importance for the integration of urban and rural development, for socio-economic connectivity, and for sustainable growth. The study offers a model assembly approach in order to logically plan an integrated urban–rural transportation network that may support the coordinated development of its living–production–ecological space. Within this approach, the ordinary least squares (OLS) linear regression analysis method is used to investigate the correlation between urban and rural areas of a transportation network and the influencing factors in the living–production–ecological space so as to objectively analyze their degree of influence. These factors are size of town, urban and rural settlements, life services, supporting transportation facilities, trunk layout, external transport links, cargo hubs, logistics and transportation, enterprise distribution, agricultural production, terrain, distribution of water systems, tourism resources, heritage preservation, and ecological protection. The analytic hierarchy method is used to assign weight to the urban and rural transportation network planning impact index system. As a result, a transportation network planning decision hierarchy model is implemented to identify suitable areas for urban and rural transportation network construction and to provide guidance and reference for planning. Jiangxia District, Wuhan, China is selected as the study area to verify the feasibility and effectiveness of the model. The findings indicate that the influencing factors of urban and rural industrial and ecological space have a significant impact on the transportation network in the research area. Planning should prioritize optimizing the central region’s transportation network structure and enhancing traffic flow between urban and rural communities, which is effectively in line with the current reality. The suggested approach is helpful in establishing case-study-specific planning and development strategies of urban and rural integrated transportation networks in the age of big data, as well as in balancing these influencing factors in living, production, and ecological spaces when planning an integrated urban and rural transportation network.

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Park, Minyoung, and Amelia Regan. "Capacity Modeling in Transportation." Transportation Research Record: Journal of the Transportation Research Board 1906, no. 1 (January 2005): 97–104. http://dx.doi.org/10.1177/0361198105190600112.

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A conceptual framework is presented for modeling the capacity of multimodal freight transportation networks. A review is provided on the evolution of capacity models for use in transportation systems planning and investment, and recent advances toward a system-oriented, multimodal capacity model are discussed in depth. A logical network capacity model based on bilevel programming is proposed.

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Zhang, Ling, Jingjing Hao, Xiaofeng Ji, and Lan Liu. "Research on the Complex Characteristics of Freight Transportation from a Multiscale Perspective Using Freight Vehicle Trip Data." Sustainability 11, no. 7 (March 29, 2019): 1897. http://dx.doi.org/10.3390/su11071897.

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To better guide the sustainable developing of freight transport aligning with environmental objectives it is of strategic importance to capture freight transportation characteristics more realistically. This paper characterizes freight transportation by using a complex network approach from multidimensional perspectives based on freight vehicle trips data. We first build two subnetworks from prefecture-level city-scale and county-level city-scale. Subsequently, network analysis indices based on complex network theory were applied to examine the topological structure and complexity of the freight transportation networks. Furthermore, the community detection method is introduced to reveal the networks’ clustering characteristics. The findings show that the prefecture-level city-scale network and the county-level city-scale network both have obvious small-world network characteristics, but the prefecture-level city-scale network has higher operating efficiency for goods movement. Additionally, the influence of the cross-border effect on the freight transportation network was verified. In terms of the community structure, the freight network shows distinct clustering features only at the county-level city-scale.

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Li, Bangya, and Liang Liu. "Diversity of Building Blocks Unity of Construction Rule for Transportation Networks." E3S Web of Conferences 253 (2021): 03079. http://dx.doi.org/10.1051/e3sconf/202125303079.

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The identification of local structure composition may help understand the network construction law from a bottom-up view. Focusing on local structure, the network subgraph approach was applied to systematically analyze 3- to 7-node subgraphs in several transportation networks in China. Results show that the number of subgraph and forms increase as the subgraph scale increase, but the rate are different, which indicates the diversity of building blocks in transportation networks. Moreover, both the network subgraph rank can be divided into two kinds, each corresponding to one of the transport geographical networks and transport service networks. The two kinds reflect the unity of construction rule of geographical network or service network due to the similarity of the cost, technical and space constraints. The methods and results can be used as methods and standards in the planning, evaluation and optimization of transportation networks.

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Li, Xiao Hui, and Qing Mei Tan. "Virtual Transportation System in Natural Disasters: A Case of Jiangsu Province." Applied Mechanics and Materials 94-96 (September 2011): 1908–11. http://dx.doi.org/10.4028/www.scientific.net/amm.94-96.1908.

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To meet emergency logistics need pre- or post-disaster, a topology network-based approach is introduced to solve the complexity of highway transportation system. It classifies the transportation system into sub- networks and central networks where a virtual local area network is designed in order to fulfill function of information exchange and road condition renewal between different forwarding stations. To renew real-time road conditions and data in terms of business or operation for each node, a virtual transportation network is designed based on foundation of central networks, which consequently reduces algorithm measure and also speeds up path-selection procedure.

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Ntafloukas, Konstantinos, Liliana Pasquale, Beatriz Martinez-Pastor, and Daniel P. McCrum. "A Vulnerability Assessment Approach for Transportation Networks Subjected to Cyber–Physical Attacks." Future Internet 15, no. 3 (February 28, 2023): 100. http://dx.doi.org/10.3390/fi15030100.

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Transportation networks are fundamental to the efficient and safe functioning of modern societies. In the past, physical and cyber space were treated as isolated environments, resulting in transportation network being considered vulnerable only to threats from the physical space (e.g., natural hazards). The integration of Internet of Things-based wireless sensor networks into the sensing layer of critical transportation infrastructure has resulted in transportation networks becoming susceptible to cyber–physical attacks due to the inherent vulnerabilities of IoT devices. However, current vulnerability assessment methods lack details related to the integration of the cyber and physical space in transportation networks. In this paper, we propose a new vulnerability assessment approach for transportation networks subjected to cyber–physical attacks at the sensing layer. The novelty of the approach used relies on the combination of the physical and cyber space, using a Bayesian network attack graph that enables the probabilistic modelling of vulnerability states in both spaces. A new probability indicator is proposed to enable the assignment of probability scores to vulnerability states, considering different attacker profile characteristics and control barriers. A probability-based ranking table is developed that details the most vulnerable nodes of the graph. The vulnerability of the transportation network is measured as a drop in network efficiency after the removal of the highest probability-based ranked nodes. We demonstrate the application of the approach by studying the vulnerability of a transportation network case study to a cyber–physical attack at the sensing layer. Monte Carlo simulations and sensitivity analysis are performed as methods to evaluate the results. The results indicate that the vulnerability of the transportation network depends to a large extent on the successful exploitation of vulnerabilities, both in the cyber and physical space. Additionally, we demonstrate the usefulness of the proposed approach by comparing the results with other currently available methods. The approach is of interest to stakeholders who are attempting to incorporate the cyber domain into the vulnerability assessment procedures of their system.

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Pei, Yingying, Xia Zhu, Guohong Li, Yongtao Jin, Yuyan Liu, Yuanping Liu, Gang Liu, and Jiangxia Fan. "Complex Traffic Network Analysis Method Based on a Multiscale Aggregation Model." Journal of Sensors 2022 (March 25, 2022): 1–15. http://dx.doi.org/10.1155/2022/7311117.

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Identifying the aggregation characteristics of the geospatial network is an important aspect of analyzing highway traffic networks. Based on the complex network theory, this paper studies the block aggregation characteristics of the highway traffic network and proposes an Improved PageRank Spectral Clustering (IPSC) Algorithm to divide the functional blocks of highway traffic networks. Firstly, the theoretical model of a highway traffic network is constructed by adding location attribute weight, geographical distance weight, road grade weight, and dynamic traffic congestion weight. Secondly, the improved PageRank algorithm is used to get the ranking of key nodes of the highway traffic network. The clustering center and the number of clusters are determined by the ranking of key nodes and the shortest path distance. Then the improved spectral clustering algorithm is used to divide the functional blocks of the highway transportation network and identify the special common blocks of the highway transportation network. Finally, the IPSC Algorithm is used to analyze the aggregation mode of complex traffic networks at city and district scales. Crossing the limit of administrative division, the division results of special common blocks of highway transportation networks are obtained. Maintaining the connectivity between blocks can improve the overall efficiency of highway transportation networks.

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Journal articles on the topic 'Transportation network'

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