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A Reliability-Based Stochastic Traffic Assignment Model for Network with Multiple User Classes under Uncertainty in Demand

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Author Info

  • Hu Shao

    ()

  • William Lam
  • Mei Tam
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    Abstract

    This paper presents a novel reliability-based stochastic user equilibrium traffic assignment model in view of the day-to-day demand fluctuations for multi-class transportation networks. In the model, each class of travelers has a different safety margin for on-time arrival in response to the stochastic travel times raised from demand variations. Travelers' perception errors on travel time are also considered in the model. This model is formulated as an equivalent variational inequality problem, which is solved by the proposed heuristic solution algorithm. Numerical examples are presented to illustrate the applications of the proposed model and the efficiency of solution algorithm. Copyright Springer Science + Business Media, LLC 2006

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    File URL: http://hdl.handle.net/10.1007/s11067-006-9279-6
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    Bibliographic Info

    Article provided by Springer in its journal Networks and Spatial Economics.

    Volume (Year): 6 (2006)
    Issue (Month): 3 (September)
    Pages: 173-204

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    Handle: RePEc:kap:netspa:v:6:y:2006:i:3:p:173-204

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    Web page: http://www.springerlink.com/link.asp?id=106607

    Related research

    Keywords: Reliability-based; Multiple user classes; Demand variations; Variational inequality; Traffic assignment problem;

    References

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    1. Clark, Stephen & Watling, David, 2005. "Modelling network travel time reliability under stochastic demand," Transportation Research Part B: Methodological, Elsevier, vol. 39(2), pages 119-140, February.
    2. Lo, Hong K. & Tung, Yeou-Koung, 2003. "Network with degradable links: capacity analysis and design," Transportation Research Part B: Methodological, Elsevier, vol. 37(4), pages 345-363, May.
    3. Lo, Hong K. & Luo, X.W. & Siu, Barbara W.Y., 2006. "Degradable transport network: Travel time budget of travelers with heterogeneous risk aversion," Transportation Research Part B: Methodological, Elsevier, vol. 40(9), pages 792-806, November.
    4. Sánchez-Silva, M. & Daniels, M. & Lleras, G. & Patiño, D., 2005. "A transport network reliability model for the efficient assignment of resources," Transportation Research Part B: Methodological, Elsevier, vol. 39(1), pages 47-63, January.
    5. Bell, Michael G. H. & Cassir, Chris, 2002. "Risk-averse user equilibrium traffic assignment: an application of game theory," Transportation Research Part B: Methodological, Elsevier, vol. 36(8), pages 671-681, September.
    6. Hall, Randolph W., 1983. "Travel outcome and performance: The effect of uncertainty on accessibility," Transportation Research Part B: Methodological, Elsevier, vol. 17(4), pages 275-290, August.
    7. M. Abdalla & Mohamed Abdel-Aty, 2006. "Modeling Travel Time Under ATIS Using Mixed Linear Models," Transportation, Springer, vol. 33(1), pages 63-82, 01.
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    Cited by:
    1. ManWo Ng & Hong Lo, 2013. "Regional Air Quality Conformity in Transportation Networks with Stochastic Dependencies: A Theoretical Copula-Based Model," Networks and Spatial Economics, Springer, vol. 13(4), pages 373-397, December.
    2. Bi Chen & William Lam & Agachai Sumalee & Qingquan Li & Hu Shao & Zhixiang Fang, 2013. "Finding Reliable Shortest Paths in Road Networks Under Uncertainty," Networks and Spatial Economics, Springer, vol. 13(2), pages 123-148, June.
    3. Li-Jun Tian & Hai-Jun Huang & Zi-You Gao, 2012. "A Cumulative Perceived Value-Based Dynamic User Equilibrium Model Considering the Travelers’ Risk Evaluation on Arrival Time," Networks and Spatial Economics, Springer, vol. 12(4), pages 589-608, December.
    4. Guevara, C. Angelo & Donoso, Gonzalo A., 2014. "Tactical design of high-demand bus transfers," Transport Policy, Elsevier, vol. 32(C), pages 16-24.

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