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 and Hai Yang

Transportation Research Part E: Logistics and Transportation Review, 2019, vol. 131, issue C, 168-192

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.

Keywords: Bottleneck model; Stochastic capacity; Dynamical system; Perceived knowledge; Boundedly rational user equilibrium (BRUE) (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (11)

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DOI: 10.1016/j.tre.2019.09.015

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