Chapter
Jan 13, 2020
Sixth International Conference on Transportation Engineering

Prospect Theory’s Application in Route Choice Problem

Publication: ICTE 2019

ABSTRACT

Route choice is the basic and crucial link of passenger assignment procedure. Uncertainty such as travel time variability caused by at capacity operation or demand variation of metro networks during peak period are gaining attention in solving the route choice problem. Prospect theory is suitable for uncertain situations by taking the decision maker’s psychological response and risk attitudes into consideration. The application of prospect theory in route choice problems under uncertainty are elaborated to manifest the status quo of the utilization of the theory and the future research direction.

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ACKNOWLEDGEMENT

This research was supported by the National Key R&D Program of China (2016YFC0802208), National Natural Science Foundation of China (Project No. 61703351), Sichuan Science and Technology Program (Project NO.2018RZ0078), Science and Technology Plan of China Railway Corporation (Project No.: 2016X006-D), Chengdu Soft Science Research Project (2017-RK00-00028-ZF, 2017-RK00-00378-ZF) and the Fundamental Research Funds for the Central Universities (2682017CX022, 2682017CX018).

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Information & Authors

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Published In

Go to ICTE 2019
ICTE 2019
Pages: 112 - 119
Editors: Xiaobo Liu, Ph.D., Southwest Jiaotong University, Qiyuan Peng, Ph.D., Southwest Jiaotong University, and Kelvin C. P. Wang, Ph.D., Oklahoma State University
ISBN (Online): 978-0-7844-8274-2

History

Published online: Jan 13, 2020

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Yan Zhang
School of Transportation and Logistics, National Railway Train Diagram Research and Training Center, and National and Local Joint Engineering Laboratory of Comprehensive Intelligent Transportation, Southwest Jiaotong Univ., PO Box 610031, Chengdu, China
Jinshan Pan
School of Transportation and Logistics, National Railway Train Diagram Research and Training Center, and National and Local Joint Engineering Laboratory of Comprehensive Intelligent Transportation, Southwest Jiaotong Univ., PO Box 610031, Chengdu, China

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