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

Zheng Zhu, Xinwei Li, Wei Liu, Hai Yang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

17 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)168-192
Number of pages25
JournalTransportation Research Part E: Logistics and Transportation Review
Publication statusPublished - Nov 2019


  • Bottleneck model
  • Boundedly rational user equilibrium (BRUE)
  • Dynamical system
  • Perceived knowledge
  • Stochastic capacity

ASJC Scopus subject areas

  • Business and International Management
  • Civil and Structural Engineering
  • Transportation

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