Chapter
Jul 2, 2019
Intelligent Optimization of Ticket Fare for China High-Speed Railway
Authors: Jinzi Zheng [email protected], Jun Liu, and Ping LiAuthor Affiliations
Publication: CICTP 2019
Abstract
With the rapid development of China’s high-speed railway, the ticket fare structure of high-speed trains is an urgent need of intelligent optimization. A reasonable fare scheme should maximize the revenue of Railway Company, at the same time balancing passengers’ choice behavior. This paper applies bi-level programming to deal with this ticket fare optimization problem. A bi-level programming model is built first, of which the upper level programming is the revenue maximization problem, and the lower level programming is the elastic-demand network flow equilibrium problem. Then, a heuristic algorithm based on sensitivity analysis is proposed to solve the model. At last, the actual case and data is applied to verify our method.
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© 2019 American Society of Civil Engineers.
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Published online: Jul 2, 2019
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China Academy of Railway Sciences Co. Ltd., Beijing, China. E-mail: [email protected]
Jun Liu
Beijing Jiaotong Univ., Beijing, China.
Ping Li
China Academy of Railway Sciences Co. Ltd., Beijing, China.
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