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Performability of a Congested Urban Transportation Network When Accident Information is Available

Author

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  • Brunilde Sansò

    (École Polytechnique de Montréal, Department of Mathematics and Industrial Engineering, C.P. 6079 Succ. Centre-Ville, Montréal, Québec H3C 3A7, Canada)

  • Luc Milot

    (École Polytechnique de Montréal, Department of Mathematics and Industrial Engineering, C.P. 6079 Succ. Centre-Ville, Montréal, Québec H3C 3A7, Canada)

Abstract

This paper presents a framework to assess a performability measure in an urban transportation network given the possibility of an accident condition. This framework needs the evaluation of network performance during the accident state. Such an evaluation is highly influenced by the duration of the accident and by information provided to the users during the accident state. To model such conditions, we propose to solve a set of modified user-equilibrium problems. Results were obtained on a test network representing the links between downtown Montreal and the South Shore suburbs. Accidents were studied on bridges linking the downtown area to the South Shore.

Suggested Citation

  • Brunilde Sansò & Luc Milot, 1999. "Performability of a Congested Urban Transportation Network When Accident Information is Available," Transportation Science, INFORMS, vol. 33(1), pages 68-79, February.
    • Handle: RePEc:inm:ortrsc:v:33:y:1999:i:1:p:68-79
    DOI: 10.1287/trsc.33.1.68
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    References listed on IDEAS

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    1. Omar Drissi-Kaïtouni & Abdelhamid Hameda-Benchekroun, 1992. "A Dynamic Traffic Assignment Model and a Solution Algorithm," Transportation Science, INFORMS, vol. 26(2), pages 119-128, May.
    2. Turnquist, Mark A. & Bowman, Larry A., 1980. "The effects of network structure on reliability of transit service," Transportation Research Part B: Methodological, Elsevier, vol. 14(1-2), pages 79-86.
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    Cited by:

    1. Hsu, Chaug-Ing & Wen, Yuh-Horng, 2002. "Reliability evaluation for airline network design in response to fluctuation in passenger demand," Omega, Elsevier, vol. 30(3), pages 197-213, June.
    2. Lam, William H.K. & Shao, Hu & Sumalee, Agachai, 2008. "Modeling impacts of adverse weather conditions on a road network with uncertainties in demand and supply," Transportation Research Part B: Methodological, Elsevier, vol. 42(10), pages 890-910, December.
    3. Wu, Xiaolong, 2018. "Introducing the Resilience into the State Transportation Network," Institute of Transportation Studies, Working Paper Series qt2hf1d9r7, Institute of Transportation Studies, UC Davis.

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