Academic literature on the topic 'Transportation network'

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Journal articles on the topic "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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Dissertations / Theses on the topic "Transportation network"

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Hunt, Gregory William. "Transportation relay network design." Diss., Georgia Institute of Technology, 1998. http://hdl.handle.net/1853/25788.

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Karim, Md Ahsanul. "Transit operations, city transportation plans and overall transportation network safety." Thesis, University of British Columbia, 2011. http://hdl.handle.net/2429/33739.

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Modern transportation planning considers issues such as road congestion, pollution and mobility proactively. However, road safety is usually evaluated in a reactive manner only after the implementation of transportation plans, and when safety problems arise. Although this reactive road safety approach has been very effective, it is associated with significant costs on communities. Therefore, several researchers advocate a more proactive approach to road safety analysis. Several studies developed macro-level Collision Prediction Models (CPMs) that could assess the road safety in a proactive manner, and provide a safety planning decision support tool to community planners and engineers. However, these models have limitations as they do not target the safety evaluation of different goals of a typical city transportation plan. Therefore, the motivation for this research arises from the necessity of developing tools that could predict the safety effect of a typical city transportation plan such as changes in the transportation and transit network configurations, and ultimately could evaluate the safety estimates among alternatives of different transportation plans and policies. The main goal of this thesis is to develop a set of macro-level collision prediction models to investigate the relationships between various transportation and sociodemographic characteristics, and the overall roadway safety. The developed models consider the Poisson variations and the heterogeneity (extra-variation) on the occurrence of collisions and the spatial effects on the distribution of collisions caused by the similarity in environment and geography of the neighbouring sites. It has been shown that the goodness of fit improved with the incorporation of spatial effect. In this study, a set of zonal-level transit reliant and application-based collision prediction models were developed. Data from Metro Vancouver, British Columbia were used to develop models using a generalized linear modelling approach with a negative binomial error structure. Different transit-related variables were found to be statistically significant, namely bus stop density, percentage of transit-km traveled with regard to total vehicle-km traveled, percentage of commuters walking, percentage of commuters biking, and percentage of commuters using transit. The CPMs related total, severe, and property damage only collisions to the implemental aspects related to the goals of long-term transportation plans.
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Wan, Zheng. "Freight transportation planning container transportation network within China's Yangtze River /." online access from Digital Dissertation Consortium, 2008. http://libweb.cityu.edu.hk/cgi-bin/er/db/ddcdiss.pl?1462115.

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Chiu, Yu-Yen. "An analysis of international transportation network." Thesis, Massachusetts Institute of Technology, 2005. http://hdl.handle.net/1721.1/33728.

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Thesis (M. Eng. in Logistics)--Massachusetts Institute of Technology, Engineering Systems Division, 2005.
Includes bibliographical references (leaf 70).
This thesis discusses a network design problem based on a case study with a footwear company, which intends to minimize total supply chain costs by establishing a distribution network which bypasses its primary distribution center (DC). Through the new network, called the DC bypass network, the company ships products directly from its Asian factories to a logistics hub at an entry port in the US and then on to customers, a particular group of chosen customers. We assess the project by comparing costs derived from a baseline and optimization model. A baseline model represents the company's existing logistics network while optimization models capture future supply chains with different scenarios. The models convert a real supply chain network into the relationships between nodes and links. Nodes indicate facilities while links refer to the flow of the product. In brief, this case study is about how a company evaluates its transportation network. Methods to determine a specific location or multiple locations for the DC bypass operations are discussed. Furthermore, the robustness of an optimal solution will be measured through a sensitivity analysis. Other benefits include the reduction of lead time is discussed in the further research.
by Yu-Yen Chiu.
M.Eng.in Logistics
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Wang, Chao. "Wireless Sensor Network for Safe Transportation." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-209169.

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Since dangerous goods have special physical and chemical properties, they can easily produce explosion, fire, poisoning and other accident due to a traffic collision or hazardous leak under a complex transport condition. Compared with ordinary traffic accidents, accident of dangerous goods transportation has greater risks and subsequent influence. Due to the huge transportation equipment and high freight volumes, once the accident occurred, it will be difficult to deal with the danger in the first place. Faced with such a grim situation, this paper develops a system to achieve real- time monitoring of dangerous goods transportation based on wireless sensor network (WSN). Combined with different kind of sensors, wireless communication technology and data fusion technology, a real-time monitor system is developed for dangerous good transportation. In addition to real- time monitoring, the system can analyze the state parameters obtained to check whether the vehicle is in a safe condition. The system has a real-time tracking, monitoring and early warning function which has important significance in curbing accidents and lowering the accident loss as far as possible
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Hakimian, Hamed, and Zandi Mohammad Saeid. "Foliated Transportation Systems." Thesis, Högskolan i Borås, Institutionen Ingenjörshögskolan, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-19609.

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First issue that this thesis tries to address is setting up a practical framework of foliated transportation network. Scope of this thesis limited to several cities in Sweden to illustrate that this organization can be set up and it can perform under corresponding regulations. Beside the possibility of performance it was of high importance to consider its positive effects on whole network factors from both social and industrial perspectives. For this purpose a comparison between network results for different truck fill rates carried out but practical use of results is completely dependent of the stakeholder who is going to utilize them.
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Kessler, Matthew L. "How Transportation Network Companies Could Replace Public Transportation in the United States." Scholar Commons, 2017. http://scholarcommons.usf.edu/etd/7045.

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The quantity of cell phone applications or mobile apps have seen an upsurge at an exponential rate in under a decade. Many have been created for a variety of industries, including transportation. The advent and subsequent commercialized implementation of near-instant transport by a middleman-type of app is now known as a Transportation Network Company or TNC. Examples of the more renowned TNCs are Uber, Lyft and Sidecar. In recent years, TNCs have cultivated a tremendous following, to the degree of taxicab desertion. Moreover, the massive success of TNCs led to expansion of its capacities into public transportation. The TNC’s expeditious popularity has garnered the attention of government and transit agencies. Without fail, TNCs can complement, supplement or compete with transit. However, sparsely has there been any deep discussion about a TNC potentially supplanting transit. The aim of this paper is to show how TNCs could replace public transportation in the United States if subsidized at the same level of transit agencies. Austin, Texas was analyzed as the case study city. A comparison of subsidization between Austin’s transit agency: Cap Metro, the local TNCs, and on a national aggregate level was conducted. The evidence herein clearly shows that TNCs are highly competitive when in revenue service operating at full capacity, potentially replacing public transportation.
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Gupta, Umang 1977. "Earthquake loss estimation including transportation network damage." Thesis, Massachusetts Institute of Technology, 2001. http://hdl.handle.net/1721.1/32708.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2001.
Includes bibliographical references (leaves 145-149).
Large earthquakes have the potential of causing extensive damage and enormous economic losses. These losses are primarily attributable to the reduction in functionality of various facilities in the affected region and the rebuilding costs, and can be reduced through strategic pre- and post-earthquake decisions. This thesis describes an integrated methodology to estimate losses due to scenario earthquakes, with emphasis on the reduced functionality of the transportation infrastructure. The methodology integrates variables that were previously considered exogenous to the transportation system, through models for reduced industrial production capacity, and damage to lifelines, residential clusters and other structural components in an integrated framework. By modifying input parameters, one can evaluate the effect on the losses of various mitigating actions. The methodology is thus useful for prioritizing retrofitting efforts and in general for developing pre and post- earthquake strategies for lowering economic losses. A case study of a New Madrid scenario earthquake is presented. Future efforts needed to improve the loss estimation capability of this methodology are identified.
by Umang Gupta.
S.M.
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Lu, Yun. "Robust transportation network design under user equilibrium." Thesis, Massachusetts Institute of Technology, 2007. http://hdl.handle.net/1721.1/41731.

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Thesis (S.M.)--Massachusetts Institute of Technology, Computation for Design and Optimization Program, 2007.
Includes bibliographical references (p. 59-63).
We address the problem of designing a transportation network in the presence of demand uncertainty, multiple origin-destination pairs and a budget constraint for the overall construction cost, under the behavioral assumption that travelers optimize their own travel costs (i.e., the "user-equilibrium" condition). Under deterministic demand, we propose an exact integer optimization approach that leads to a quadratic objective, linear constraints optimization problem. As a result, the problem is efficiently solvable via commercial software, when the costs are linear functions of traffic flows. We then use an iterative algorithm to address the case of nonlinear cost functions. While the problem is intractable under probabilistic assumptions on demand uncertainty, we extend the previous model and propose an iterative algorithm using a robust optimization approach that models demand uncertainty. We finally report extensive numerical results to illustrate that our approach leads to tractable solutions for large scale networks.
by Yun Lu.
S.M.
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Kim, Dong Won. "Intelligent Transportation Systems: A Multilevel Policy Network." Diss., Virginia Tech, 2001. http://hdl.handle.net/10919/28087.

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This dissertation is a descriptive study of a policy network designed for U.S. government and global cooperation to promote Intelligent Transportation Systems (ITS). It is aimed at exploring the historical and structural features of the ITS policy network, and evaluating its roles in the policy process. Until now, the network literature has barely examined the full arrays of networks, catching just part of their full pictures. First, this study draws attention to transnational networks and their organic or systematic relationships with lower levels of networks. Second, it examines the individual properties and synergy of three core elements of the ITS policy network: public-private partnerships, professional networks, and intergovernmental networks. Third, it takes a close look at the pattern of stability change and power relations of the policy network from within the net. Finally, this study discusses what difference networks make, compared to hierarchies and markets. This dissertation employed multiple sources of evidence: unstandardized elite interviews, government documents, and archival records. Through a networking strategy to find the best experts, face-to-face, telephone, and e-mail interviews were conducted with twenty-two public officials and ITS professionals. It was found that the U.S. ITS policy network was a well-designed strategic governance structure at the planning level, but an experimental learning-focused one at the implementation level. It was initially designed by a new, timely, cross-sectional coalition, which brought together field leaders from both the public and the private sectors under the slogan of global competitiveness. Yet, day-to-day managers within the net often experience much more complex power relationships and internal dynamics as well as legal obstacles; also, they confront external uncertainty in political support and market. For better results, policy networks should be designed in flexible ways that will handle their disadvantages such as ambiguous roles, exclusiveness, and increased staff time. In this respect, it is inevitable for the networks to include some components of a wide range of conventional structures, ranging from highly bureaucratic to highly entrepreneurial, on the one hand, and ranging between issue networks (grounded in American pluralism) and policy communities (based on European corporatism), on the other hand.
Ph. D.
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Books on the topic "Transportation network"

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Bell, Michael G. H. Transportation network analysis. Chichester: J. Wiley, 1997.

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Board, National Research Council (U S. ). Transportation Research. Measuring transportation network performance. Washington, D.C: Transportation Research Board, 2010.

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Ran, Bin, and David E. Boyce. Dynamic Urban Transportation Network Models. Berlin, Heidelberg: Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/978-3-662-00773-0.

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N.Y.) ReThink Studio (New York. The regional unified network. New York, NY: ReThink Studio, 2017.

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Gendreau, Michel, and Patrice Marcotte, eds. Transportation and Network Analysis: Current Trends. Boston, MA: Springer US, 2002. http://dx.doi.org/10.1007/978-1-4757-6871-8.

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Lange, Anne. Centrality in Strategic Transportation Network Design. Wiesbaden: Springer Fachmedien Wiesbaden, 2011. http://dx.doi.org/10.1007/978-3-658-24241-1.

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Consultants, Wootton Jeffreys, and European Commission Directorate-General Transport, eds. Network architecture. Luxembourg: Office for Official Publications of the European Communities, 1996.

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Commission, European, ed. The trans-European transport network: Transforming a patchwork into a network. Brussels: Office for Official Publications of the European Communities, 1995.

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Shinji, Yamashige, and Daiwa Sōken. Keiei Senryaku Kenkyūjo., eds. Nihon no kōtsū nettowāku: Japan's transportation network. Tōkyō: Chūō Keizaisha, 2007.

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Singh, K. N. Transport network in rural development. Gorakhpur, India: Institute for Rural Eco-development, 1990.

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Book chapters on the topic "Transportation network"

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Bell, Michael G. H., and Yasunori lida. "Transportation Networks." In Transportation Network Analysis, 17–40. Chichester, UK: John Wiley & Sons, Ltd., 2014. http://dx.doi.org/10.1002/9781118903032.ch2.

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Bell, Michael G. H., and Yasunori lida. "Network Reliability." In Transportation Network Analysis, 179–92. Chichester, UK: John Wiley & Sons, Ltd., 2014. http://dx.doi.org/10.1002/9781118903032.ch8.

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Bell, Michael G. H., and Yasunori lida. "Network Design." In Transportation Network Analysis, 193–204. Chichester, UK: John Wiley & Sons, Ltd., 2014. http://dx.doi.org/10.1002/9781118903032.ch9.

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Bard, Jonathan F. "Transportation Network Design." In Nonconvex Optimization and Its Applications, 391–413. Boston, MA: Springer US, 1998. http://dx.doi.org/10.1007/978-1-4757-2836-1_10.

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Shekhar, Shashi, and Hui Xiong. "Transportation Network Model." In Encyclopedia of GIS, 1173. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-35973-1_1404.

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Lange, Anne. "Transportation network centrality." In Centrality in Strategic Transportation Network Design, 53–94. Wiesbaden: Springer Fachmedien Wiesbaden, 2011. http://dx.doi.org/10.1007/978-3-658-24241-1_3.

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Wei, Wei, and Jianhui Wang. "Electrified Transportation Network." In Modeling and Optimization of Interdependent Energy Infrastructures, 343–454. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-25958-7_5.

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Windeck, Volker. "Maritime Transportation." In A Liner Shipping Network Design, 5–37. Wiesbaden: Springer Fachmedien Wiesbaden, 2012. http://dx.doi.org/10.1007/978-3-658-00699-0_2.

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Kasilingam, Raja G. "Logistics network planning." In Logistics and Transportation, 47–56. Boston, MA: Springer US, 1998. http://dx.doi.org/10.1007/978-1-4615-5277-2_3.

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Bell, Michael G. H., and Yasunori lida. "Introduction." In Transportation Network Analysis, 1–16. Chichester, UK: John Wiley & Sons, Ltd., 2014. http://dx.doi.org/10.1002/9781118903032.ch1.

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Conference papers on the topic "Transportation network"

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Kim, Hanjoon, Gwangsun Kim, Seungryoul Maeng, Hwasoo Yeo, and John Kim. "Transportation-network-inspired network-on-chip." In 2014 IEEE 20th International Symposium on High Performance Computer Architecture (HPCA). IEEE, 2014. http://dx.doi.org/10.1109/hpca.2014.6835943.

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Sleiman, Mohamad, Rachid Bouyekhf, and Abdellah EL Moudni. "Invariance principle for transportation network." In 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC). IEEE, 2016. http://dx.doi.org/10.1109/smc.2016.7844786.

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Bakalov, Petko, Erik Hoel, and Wee-Liang Heng. "Time dependent transportation network models." In 2015 IEEE 31st International Conference on Data Engineering (ICDE). IEEE, 2015. http://dx.doi.org/10.1109/icde.2015.7113383.

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Taylor, Christine, and Olivier de Weck. "Integrated Transportation Network Design Optimization." In 47th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference
14th AIAA/ASME/AHS Adaptive Structures Conference
7th
. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2006. http://dx.doi.org/10.2514/6.2006-1912.

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Guo, Jiuxia, Zongxin Yang, Yang Li, and Yinhai Wang. "Transportation Network Vulnerability Enhancement Study." In International Conference on Transportation and Development 2023. Reston, VA: American Society of Civil Engineers, 2023. http://dx.doi.org/10.1061/9780784484876.004.

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Koulakezian, Agop, Hazem M. Soliman, Tang Tang, and Alberto Leon-Garcia. "Robust Traffic Assignment in Transportation Networks Using Network Criticality." In 2012 IEEE Vehicular Technology Conference (VTC Fall). IEEE, 2012. http://dx.doi.org/10.1109/vtcfall.2012.6399123.

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Jan, Gene Eu, Ming Che Lee, S. G. Hsieh, and Yung-Yuan Chen. "Transportation network navigation with turn penalties." In 2009 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM). IEEE, 2009. http://dx.doi.org/10.1109/aim.2009.5229754.

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Herbei, Mihai Valentin. "USING�GIS�ANALYSIS�IN�TRANSPORTATION�NETWORK�." In SGEM2012 12th International Multidisciplinary Scientific GeoConference and EXPO. Stef92 Technology, 2012. http://dx.doi.org/10.5593/sgem2012/s09.v2036.

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Yu, Xiaohua, and Kefei Yan. "Model of Multimodal Composite Transportation Network." In 2010 International Conference on Logistics Engineering and Intelligent Transportation Systems (LEITS). IEEE, 2010. http://dx.doi.org/10.1109/leits.2010.5665027.

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Zhou, Yu, and Dong Ding. "Multiple Coal Transportation Mode Network Optimizations." In Third International Conference on Transportation Engineering (ICTE). Reston, VA: American Society of Civil Engineers, 2011. http://dx.doi.org/10.1061/41184(419)146.

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Reports on the topic "Transportation network"

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Rodin, Ervin Y. Air Transportation Network Routing and Scheduling. Fort Belvoir, VA: Defense Technical Information Center, February 2002. http://dx.doi.org/10.21236/ada419004.

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Rodin, Ervin Y. Air Transportation Network Routing and Scheduling. Fort Belvoir, VA: Defense Technical Information Center, February 2002. http://dx.doi.org/10.21236/ada419632.

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Ge, Yanbo, Christopher Knittel, Don MacKenzie, and Stephen Zoepf. Racial and Gender Discrimination in Transportation Network Companies. Cambridge, MA: National Bureau of Economic Research, October 2016. http://dx.doi.org/10.3386/w22776.

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Searl, Leon S., Ed Komp, Dan DePardo, Dan Deavours, and Martin Kuehnhausen. SensorNet 3 Requirements Document: Container Transportation Security Network. Fort Belvoir, VA: Defense Technical Information Center, January 2011. http://dx.doi.org/10.21236/ada539046.

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McKinley, George B. Vehicle Capacity API for Transportation Infrastructure Network Builder (TINet). Fort Belvoir, VA: Defense Technical Information Center, September 2004. http://dx.doi.org/10.21236/ada427994.

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6

Vitela, J. E., U. R. Hanebutte, and J. Reifman. An artificial neural network controller for intelligent transportation systems applications. Office of Scientific and Technical Information (OSTI), April 1996. http://dx.doi.org/10.2172/219376.

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7

Tayeb, Shahab. Protecting Our Community from the Hidden Vulnerabilities of Today’s Intelligent Transportation Systems. Mineta Transportation Institute, May 2022. http://dx.doi.org/10.31979/mti.2022.2132.

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The ever-evolving technology interwoven into the transportation industry leaves it frequently at risk for cyber-attacks. This study analyzes the security of a common in-vehicle network, the Controller Area Network (CAN), standard in most vehicles being manufactured today. Like many other networks, CAN comes with inherent vulnerabilities that leave CAN implementations at risk of being targeted by cybercriminals. Such vulnerabilities range from eavesdropping, where the attacker can read the raw data traversing the vehicle, to spoofing, where the attacker can place fabricated traffic on the network. The research team initially performed a simulation of CAN traffic generation followed by hardware implementation of the same on a test vehicle. Due to the concealed and untransparent nature of CAN, the team reverse-engineered the missing parameters through a series of passive "sniffing attacks" (attacks using data reading utilities called packet sniffers) on the network and then demonstrated the feasibility of the attack by placing fabricated frames on the CAN.
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8

Rodin, Ervin Y., and Allen McCoy. Simulation and Optimization Methodologies and Military Transportation Network Routing and Scheduling. Fort Belvoir, VA: Defense Technical Information Center, August 2008. http://dx.doi.org/10.21236/ada499000.

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9

Dudoit, Alain, Molivann Panot, and Thierry Warin. Towards a multi-stakeholder Intermodal Trade-Transportation Data-Sharing and Knowledge Exchange Network. CIRANO, December 2021. http://dx.doi.org/10.54932/mvne7282.

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The performance of supply chains used to be mainly the concern of academics and professionals who studied the potential efficiencies and risks associated with this aspect of globalisation. In 2021, major disruptions in this critical sector of our economies are making headlines and attracting the attention of policy makers around the world. Supply chain bottlenecks create shortages, fuel inflation, and undermine economic recovery. This report provides a transversal and multidisciplinary analysis of the challenges and opportunities regarding data interoperability and data sharing as they relate to the ‘Great Lakes - St. Lawrence Seaway Trade Corridor’ (GLSLTC)’s intermodal transportation and trade data strategy. The size and scope of this trade corridor are only matched by the complexity of its multimodal freight transportation systems and growing urbanization on both sides of the Canada-US border. This complexity is exacerbated by the lack of data interoperability and effective collaborations between the different stakeholders within the various jurisdictions and amongst them. Our analytical work relies on : 1) A review of the relevant documentation on the latest challenges to supply chains (SC), intermodal freight transport and international trade, identifying any databases that are to be used.; 2) A comparative review of selected relevant initiatives to give insights into the best practices in digital supply chains implemented in Canada, the United States, and the European Union.; 3) Interviews and discussions with experts from Transport Canada, Statistics Canada, the Canadian Centre on Transportation Data (CCTD) and Global Affairs Canada, as well as with CIRANO’s research community and four partner institutions to identify databases and data that they use in their research related to transportation and trade relevant data availabilities and methodologies as well as joint research opportunities. Its main findings can be summarized as follow: GLSLTC is characterized by its critical scale, complexity, and strategic impact as North America’s most vital trade corridor in the foreseeable further intensification of continental trade. 4% of Canadian GDP is attributed to the Transportation and Logistics sector (2018): $1 trillion of goods moved every year: Goods and services imports are equivalent to 33% of Canada’s GDP and goods and services exports equivalent to 32%. The transportation sector is a key contributor to the achievement of net-zero emissions commitment by 2050. All sectors of the Canadian economy are affected by global supply chain disruptions. Uncertainty and threats extend well beyond the COVID-19 Pandemic. “De-globalization” and increasing supply chains regionalization pressures are mounting. Innovation and thus economic performance—increasingly hinges on the quantity and quality of data. Data is transforming Canada’s economy/society and is now at the center of global trade “Transport data is becoming less available: Canada needs to make data a priority for a national transportation strategy.” * “How the Government of Canada collects, manages, and governs data—and how it accesses and shares data with other governments, sectors, and Canadians—must change.”
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Furman, Burford, Laxmi Ramasubramanian, Shannon McDonald, Ron Swenson, Jack Fogelquist, Yu Chiao, Alex Pape, and Mario Cruz. Solar-Powered Automated Transportation: Feasibility and Visualization. Mineta Transportation Institute, December 2021. http://dx.doi.org/10.31979/mti.2021.1948.

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A solar-powered automated transportation network (ATN) connecting the North and South campuses of San José State University with three passenger stations was designed, visualized, and analyzed in terms of its energy usage, carbon offset, and cost. The study’s methodology included the use of tools and software such as ArcGIS, SketchUp, Infraworks, Sketchup, Rhinoceros, and Autodesk 3DS Max. ATN vehicle energy usage was estimated using data from the university’s Park & Ride shuttle bus operation and by modeling with SUMOPy, the advanced simulation suite for the micro-traffic simulator SUMO. The energy study showed that an extensive solar photovoltaic (PV) canopy over the guideway and stations is sufficient for the network to run 24/7 in better-than-zero net-metered conditions—even if ridership were to increase 15% above that predicted from SJSU Park & Ride shuttle data. The resulting energy system has a PV-rated output of 6.2 MW, a battery system capacity of 9.8 MWh, and an estimated cost of $11.4 million USD. The solar ATN also produces 98% lower CO2 and PM2.5 emissions compared to the Park & Ride shuttle bus. A team of experts including urban planners, architects, and engineers designed and visualized the conceptual prototype, including a comprehensive video explaining the need for solar ATN and what a typical rider would experience while utilizing the system. This research demonstrates both benefits and challenges for solar-powered ATN, as well as its functionality within the urban built environment to serve diverse San José neighborhoods.
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