Optimal travel information provision strategies: an agent-based approach under uncertainty-Reference-Cited by-同舟云学术

Optimal travel information provision strategies: an agent-based approach under uncertainty

Published:2017-06-08 Issue:2 Volume:6 Page:129-150
ISSN:2168-0566
Container-title:Transportmetrica B: Transport Dynamics
language:en
Short-container-title:Transportmetrica B: Transport Dynamics

Author:

Xiong Chenfeng¹^ORCID,Zhu Zheng¹,Chen Xiqun²,Zhang Lei¹

Affiliation:

1. Department of Civil and Environmental Engineering, University of Maryland, College Park, MD, USA

2. College of Civil Engineering and Architecture, Zhejiang University, Hangzhou, People’s Republic of China

Funder

National Science Foundation

U.S. Federal Highway Administration

Zhejiang Provincial Natural Science Foundation of China

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Publisher

Informa UK Limited

Subject

Transportation,Modeling and Simulation,Software

Link

https://www.tandfonline.com/doi/pdf/10.1080/21680566.2017.1336126

Reference46 articles.

1. Predicting multi-faceted activity-travel adjustment strategies in response to possible congestion pricing scenarios using an Internet-based stated adaptation experiment

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3. MODELLING LEARNING AND ADAPTATION IN TRANSPORTATION CONTEXTS

4. Avineri, E., and J. N. Prashker. 2003. “The Impact of Travel Time Information on Travelers’ Learning Under Uncertainty.” Proceedings tenth international conference on travel behavior research, Lucerne.

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