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Day-to-day evolution of departure time choice in stochastic capacity bottleneck models with bounded rationality and various information perceptions

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  • Zhu, Zheng
  • Li, Xinwei
  • Liu, Wei
  • Yang, Hai

Abstract

This study investigates the dynamical evolution of travelers’ departure time choice in a bottleneck-constrained roadway system with stochastic capacity. When considering day-to-day traffic evolution, this study explores two scenarios: travelers have long-term historical knowledge and real-time information provision; and travelers have short-term travel experience and real-time information provision. In this context, this study models boundedly rational travelers. This study sheds light on the trade-off between daily (short-term) equilibrium and statistical (long-term) equilibrium.

Suggested Citation

  • Zhu, Zheng & Li, Xinwei & Liu, Wei & Yang, Hai, 2019. "Day-to-day evolution of departure time choice in stochastic capacity bottleneck models with bounded rationality and various information perceptions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 131(C), pages 168-192.
    • Handle: RePEc:eee:transe:v:131:y:2019:i:c:p:168-192
    DOI: 10.1016/j.tre.2019.09.015
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