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

doi:10.1016/j.tre.2019.09.015

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 publication › Journal article › Academic research › peer-review

35 Citations (Scopus)

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.

Original language	English
Pages (from-to)	168-192
Number of pages	25
Journal	Transportation Research Part E: Logistics and Transportation Review
Volume	131
DOIs	https://doi.org/10.1016/j.tre.2019.09.015
Publication status	Published - Nov 2019
Externally published	Yes

Keywords

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

More information

10.1016/j.tre.2019.09.015

Cite this

@article{dd418138585c4ac29ccf61011a9d025f,

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

abstract = "This study investigates the dynamical evolution of travelers{\textquoteright} 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, Boundedly rational user equilibrium (BRUE), Dynamical system, Perceived knowledge, Stochastic capacity",

author = "Zheng Zhu and Xinwei Li and Wei Liu and Hai Yang",

note = "Funding Information: We would like to thank the anonymous reviewers for their thoughtful and helpful comments, which helped improve both the technical quality and exposition of this paper. This research was substantially supported by the National Key Research and Development of China (No. 2018YFB1600900 ). Dr. Wei Liu would like to thank the support from the UNSW Digital Grid Futures Institute, UNSW, Sydney, under a cross disciplinary fund scheme. This research was also financially supported by the Hong Kong University of Science and Technology – DiDi Chuxing (HKUST-DiDi) Joint Laboratory. The opinions in this paper do not necessarily reflect the official views of HKUST-DiDi Joint Laboratory. The authors are responsible for all statements. Publisher Copyright: {\textcopyright} 2019 Elsevier Ltd",

year = "2019",

month = nov,

doi = "10.1016/j.tre.2019.09.015",

language = "English",

volume = "131",

pages = "168--192",

journal = "Transportation Research Part E: Logistics and Transportation Review",

issn = "1366-5545",

publisher = "Elsevier Ltd",

}

Day-to-day evolution of departure time choice in stochastic capacity bottleneck models with bounded rationality and various information perceptions. / Zhu, Zheng; Li, Xinwei; Liu, Wei et al.
In: Transportation Research Part E: Logistics and Transportation Review, Vol. 131, 11.2019, p. 168-192.

Research output: Journal article publication › Journal article › Academic research › peer-review

TY - JOUR

T1 - Day-to-day evolution of departure time choice in stochastic capacity bottleneck models with bounded rationality and various information perceptions

AU - Zhu, Zheng

AU - Li, Xinwei

AU - Liu, Wei

AU - Yang, Hai

N1 - Funding Information: We would like to thank the anonymous reviewers for their thoughtful and helpful comments, which helped improve both the technical quality and exposition of this paper. This research was substantially supported by the National Key Research and Development of China (No. 2018YFB1600900 ). Dr. Wei Liu would like to thank the support from the UNSW Digital Grid Futures Institute, UNSW, Sydney, under a cross disciplinary fund scheme. This research was also financially supported by the Hong Kong University of Science and Technology – DiDi Chuxing (HKUST-DiDi) Joint Laboratory. The opinions in this paper do not necessarily reflect the official views of HKUST-DiDi Joint Laboratory. The authors are responsible for all statements. Publisher Copyright: © 2019 Elsevier Ltd

PY - 2019/11

Y1 - 2019/11

N2 - 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.

AB - 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.

KW - Bottleneck model

KW - Boundedly rational user equilibrium (BRUE)

KW - Dynamical system

KW - Perceived knowledge

KW - Stochastic capacity

UR - http://www.scopus.com/inward/record.url?scp=85073217167&partnerID=8YFLogxK

U2 - 10.1016/j.tre.2019.09.015

DO - 10.1016/j.tre.2019.09.015

M3 - Journal article

AN - SCOPUS:85073217167

SN - 1366-5545

VL - 131

SP - 168

EP - 192

JO - Transportation Research Part E: Logistics and Transportation Review

JF - Transportation Research Part E: Logistics and Transportation Review

ER -

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

Abstract

Keywords

ASJC Scopus subject areas

More information

Other files and links

Fingerprint

Cite this