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

Xiangdong Xu (), Anthony Chen (), Zhong Zhou () and Lin Cheng ()
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Xiangdong Xu: Utah State University
Anthony Chen: Utah State University
Zhong Zhou: Citilabs
Lin Cheng: Southeast University

Chapter Chapter 13 in Network Reliability in Practice, 2012, pp 223-240 from Springer

Abstract: 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.

Keywords: Variational Inequality Problem; Route Choice; Elastic Demand; Travel Demand; Mete Model (search for similar items in EconPapers)
Date: 2012
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Persistent link: https://EconPapers.repec.org/RePEc:spr:trachp:978-1-4614-0947-2_13

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DOI: 10.1007/978-1-4614-0947-2_13

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