Analysis of a multiplicative hybrid route choice model in stochastic assignment paradox-Reference-Cited by-同舟云学术

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Analysis of a multiplicative hybrid route choice model in stochastic assignment paradox

Published:2021-07-19 Issue: Volume: Page:1-25
ISSN:2324-9935
Container-title:Transportmetrica A: Transport Science
language:en
Short-container-title:Transportmetrica A: Transport Science

Author:

Cheng Zhanhong¹^ORCID,Yao Jia¹²^ORCID,Chen Anthony³^ORCID,An Shi¹

Affiliation:

1. School of Transportation Science and Engineering, Harbin Institute of Technology, Harbin, Heilongjiang, People’s Republic of China

2. School of Economics and Management, Dalian University of Technology, Dalian, Liaoning, People’s Republic of China

3. Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Hunghom, Hong Kong

Funder

National Science Foundation of China

China Postdoctoral Science Foundation

International Postdoctoral Exchange Fellowship

Research Grants Council of the Hong Kong Special Administrative Region

Hong Kong Polytechnic University

CCF-DiDi Big Data Joint Lab

Research Grants Council, University Grants Committee

Publisher

Informa UK Limited

Subject

General Engineering,Transportation

Link

https://www.tandfonline.com/doi/pdf/10.1080/23249935.2021.1953189

Reference57 articles.

1. Informational Braess’ Paradox: The Effect of Information on Traffic Congestion

2. A dynamic traffic equilibrium assignment paradox

3. Properties of Dynamic Traffic Equilibrium Involving Bottlenecks, Including a Paradox and Metering

4. Identifying critical disruption scenarios and a global robustness index tailored to real life road networks

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1. Bibliometric analysis and systematic literature review of the traffic paradoxes (1968–2022);Transportation Research Part B: Methodological;2023-11

2. Effect of route overlapping feature on stochastic assignment paradox;Transportation Letters;2022-12-20

3. Weibit choice models: Properties, mode choice application and graphical illustrations;Journal of Choice Modelling;2022-09

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