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Object modeling and path computation for multimodal travel systems

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  • Bielli, Maurizio
  • Boulmakoul, Azedine
  • Mouncif, Hicham

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  • Bielli, Maurizio & Boulmakoul, Azedine & Mouncif, Hicham, 2006. "Object modeling and path computation for multimodal travel systems," European Journal of Operational Research, Elsevier, vol. 175(3), pages 1705-1730, December.
    • Handle: RePEc:eee:ejores:v:175:y:2006:i:3:p:1705-1730
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    References listed on IDEAS

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    1. Enrique Fernandez & Joaquin de Cea & Michael Florian & Enrique Cabrera, 1994. "Network Equilibrium Models with Combined Modes," Transportation Science, INFORMS, vol. 28(3), pages 182-192, August.
    2. Lozano, Angelica & Storchi, Giovanni, 2001. "Shortest viable path algorithm in multimodal networks," Transportation Research Part A: Policy and Practice, Elsevier, vol. 35(3), pages 225-241, March.
    3. Jin Y. Yen, 1971. "Finding the K Shortest Loopless Paths in a Network," Management Science, INFORMS, vol. 17(11), pages 712-716, July.
    4. Bielli, Maurizio, 2004. "Traffic and transportation systems analysis," European Journal of Operational Research, Elsevier, vol. 155(3), pages 533-534, June.
    5. Ziliaskopoulos, Athanasios & Wardell, Whitney, 2000. "An intermodal optimum path algorithm for multimodal networks with dynamic arc travel times and switching delays," European Journal of Operational Research, Elsevier, vol. 125(3), pages 486-502, September.
    6. Siskos, Y. & Sambracos, E., 2004. "Feature Issue: New technologies in transportation systems," European Journal of Operational Research, Elsevier, vol. 152(2), pages 301-301, January.
    7. Modesti, Paola & Sciomachen, Anna, 1998. "A utility measure for finding multiobjective shortest paths in urban multimodal transportation networks," European Journal of Operational Research, Elsevier, vol. 111(3), pages 495-508, December.
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    Cited by:

    1. Lee, Changju & Miller, John S., 2017. "A probability-based indicator for measuring the degree of multimodality in transportation investments," Transportation Research Part A: Policy and Practice, Elsevier, vol. 103(C), pages 377-390.
    2. Caramia, M. & Guerriero, F., 2009. "A heuristic approach to long-haul freight transportation with multiple objective functions," Omega, Elsevier, vol. 37(3), pages 600-614, June.
    3. Celikoglu, Hilmi Berk, 2013. "Reconstructing freeway travel times with a simplified network flow model alternating the adopted fundamental diagram," European Journal of Operational Research, Elsevier, vol. 228(2), pages 457-466.
    4. Duff, Thomas J. & Chong, Derek M. & Tolhurst, Kevin G., 2015. "Using discrete event simulation cellular automata models to determine multi-mode travel times and routes of terrestrial suppression resources to wildland fires," European Journal of Operational Research, Elsevier, vol. 241(3), pages 763-770.
    5. Guedes, M. Carmo M. & Oliveira, Natália & Santiago, Sérgio & Smirnov, Georgi, 2012. "On the evaluation of a public transportation network quality: Criteria validation methodology," Research in Transportation Economics, Elsevier, vol. 36(1), pages 39-44.
    6. Garaix, Thierry & Artigues, Christian & Feillet, Dominique & Josselin, Didier, 2010. "Vehicle routing problems with alternative paths: An application to on-demand transportation," European Journal of Operational Research, Elsevier, vol. 204(1), pages 62-75, July.
    7. Linzhong Liu & Haibo Mu & Juhua Yang, 2017. "Toward algorithms for multi-modal shortest path problem and their extension in urban transit network," Journal of Intelligent Manufacturing, Springer, vol. 28(3), pages 767-781, March.
    8. Woldeamanuel, Mintesnot & Olwert, Craig, 2016. "The Multimodal Connectivity at Bus Rapid Transit (BRT) Stations and the Impact on Ridership," Journal of the Transportation Research Forum, Transportation Research Forum, vol. 55(1), April.
    9. Bao, Danwen & Hua, Songyi & Gu, Jiayu, 2016. "Relevance of airport accessibility and airport competition," Journal of Air Transport Management, Elsevier, vol. 55(C), pages 52-60.

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