Release Time:2019-03-11  Hits:

Indexed by: Journal Article

Date of Publication: 2016-07-01

Journal: SIMULATION-TRANSACTIONS OF THE SOCIETY FOR MODELING AND SIMULATION INTERNATIONAL

Included Journals: EI、SCIE

Volume: 92

Issue: 7,SI

Page Number: 617-625

ISSN: 0037-5497

Key Words: agent; travel behavior of passenger; fare optimization; tabu search algorithm

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.