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Considering On-Time and Late Arrivals in Multi-Class Risk-Averse Traffic Equilibrium Model with Elastic Demand

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Network Reliability in Practice

Part of the book series: Transportation Research, Economics and Policy ((TRES))

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Abstract

Recent empirical studies have revealed that travel time variability plays an important role in travelers’ route choice decision processes (Abdel-Aty et al. 1995; Brownstone et al. 2003; Liu et al. 2004; de Palma and Picard 2005; Fosgerau and Karlström 2010). Travelers treat the travel time variability as a risk in their travel choices, because it introduces uncertainty for an on-time arrival at the destination. Due to its importance, modeling route choice under uncertainty is receiving more attention. Some of the recent models can be classified as the travel time budget (TTB)-based, schedule delay-based, and mean-excess travel time (METT)-based models according to the studied aspects of the travel time variability.

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Author information

Authors and Affiliations

  1. Department of Civil and Environmental Engineering, Utah State University, Logan, UT, 84322–4110, USA

    Xiangdong Xu & Anthony Chen

  2. School of Transportation, Southeast University, Nanjing, 210096, P. R.China

    Xiangdong Xu & Lin Cheng

  3. Citilabs, 316 Williams Street, Tallahassee, FL, 32303, USA

    Zhong Zhou

Authors
  1. Xiangdong Xu
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  2. Anthony Chen
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  3. Zhong Zhou
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  4. Lin Cheng
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Corresponding author

Correspondence to Anthony Chen .

Editor information

Editors and Affiliations

  1. , Department of Civil Engineering, University of Minnesota, Pillsbury Dr. S E 500, Minneapolis, 55455, Minnesota, USA

    David M. Levinson

  2. , Department of Civil Engineering, University of Minnesota, Pillsbury Dr S E 500, Minneapolis, 55455, Minnesota, USA

    Henry X. Liu

  3. Dept. Civil & Environmental Engineering, Centre for Transport Studies, Imperial College London, London, SW7 2AZ, United Kingdom

    Michael Bell

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Xu, X., Chen, A., Zhou, Z., Cheng, L. (2012). Considering On-Time and Late Arrivals in Multi-Class Risk-Averse Traffic Equilibrium Model with Elastic Demand. In: Levinson, D., Liu, H., Bell, M. (eds) Network Reliability in Practice. Transportation Research, Economics and Policy. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-0947-2_13

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