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

In: Network Reliability in Practice

Author

Listed:
  • Xiangdong Xu

    (Utah State University
    Southeast University)

  • Anthony Chen

    (Utah State University)

  • Zhong Zhou

    (Citilabs)

  • Lin Cheng

    (Southeast University)

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.

Suggested Citation

  • Xiangdong Xu & Anthony Chen & Zhong Zhou & Lin Cheng, 2012. "Considering On-Time and Late Arrivals in Multi-Class Risk-Averse Traffic Equilibrium Model with Elastic Demand," Transportation Research, Economics and Policy, in: David M. Levinson & Henry X. Liu & Michael Bell (ed.), Network Reliability in Practice, edition 1, chapter 0, pages 223-240, Springer.
    • Handle: RePEc:spr:trachp:978-1-4614-0947-2_13
    DOI: 10.1007/978-1-4614-0947-2_13
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