Express bus fare optimization based on passenger choice behavior. (July 2016)

• Record Type: Journal Article
• Authors: Yao, Baozhen; Wang, Zhe; Cao, Qingda; Jin, Lu; Zhang, Mingheng
• Other Names: Yu Bin guest-editor.; Zhang Yudong guest-editor.
• Is Part Of: Simulation. Volume 92:Number 7(2016:Jul.)
• Page Start: 617
• Page End: 625
• Publication Date: 2016-07
• Subjects: agent -- travel behavior of passenger -- fare optimization -- tabu search algorithm; Computer simulation -- Periodicals; 003.3
• DOI: 10.1177/0037549715620501
• Languages: English
• ISSNs: 0037-5497

Abstract

A change in bus fare influences passenger choice behavior, resulting in a change of passenger flow and passengers' total travel time. In this paper, a bi-level model was built to optimize the bus fare. The upper-level used the passenger flow and the travel time of passengers to optimize the bus fare. The lower-level is an agent-based simulation model that can simulate the passenger flow based on the passenger choice behavior. Then the tabu search algorithm was used to solve the bi-level model. Finally, the bi-level model is verified using two bus routes of Dalian, China. The result proves the bi-level model is reliable.