Joint Operating Revenue and Passenger Travel Cost Optimization in Urban Rail Transit
Urban rail transit (URT) scheduling requires designing efficient timetables that can meet passengers’ expectations about the lower travel cost while attaining revenue management objectives of the train operators. This paper presents a biobjective timetable optimization model that seeks maximizing th...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2018-01-01
|
| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2018/7805168 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832563545132236800 |
|---|---|
| author | Wenxin Li Qiyuan Peng Qinlin Li Chao Wen Yongxiang Zhang Javad Lessan |
| author_facet | Wenxin Li Qiyuan Peng Qinlin Li Chao Wen Yongxiang Zhang Javad Lessan |
| author_sort | Wenxin Li |
| collection | DOAJ |
| description | Urban rail transit (URT) scheduling requires designing efficient timetables that can meet passengers’ expectations about the lower travel cost while attaining revenue management objectives of the train operators. This paper presents a biobjective timetable optimization model that seeks maximizing the operating revenue of the railway company while lowering passengers’ average travel cost. We apply a fuzzy multiobjective optimization and a nondominated sorting genetic algorithm II to solve the optimization problem and characterize the trade-off between the conflicting objective functions under different types of distances. To illustrate the model and solution methodology, the proposed model and solution algorithms are validated against train operation record from a URT line of Chengdu metro in China. The results show that significant improvements can be achieved in terms of the travel cost and revenue return criteria when implementing the solutions obtained by the proposed model. |
| format | Article |
| id | doaj-art-1b60f78175984833a2498328f3dc6c2d |
| institution | Kabale University |
| issn | 0197-6729 2042-3195 |
| language | English |
| publishDate | 2018-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-1b60f78175984833a2498328f3dc6c2d2025-02-03T01:13:11ZengWileyJournal of Advanced Transportation0197-67292042-31952018-01-01201810.1155/2018/78051687805168Joint Operating Revenue and Passenger Travel Cost Optimization in Urban Rail TransitWenxin Li0Qiyuan Peng1Qinlin Li2Chao Wen3Yongxiang Zhang4Javad Lessan5School of Transportation & Logistics, Southwest Jiaotong University, Chengdu 610031, ChinaSchool of Transportation & Logistics, Southwest Jiaotong University, Chengdu 610031, ChinaSchool of Transportation & Logistics, Southwest Jiaotong University, Chengdu 610031, ChinaSchool of Transportation & Logistics, Southwest Jiaotong University, Chengdu 610031, ChinaSchool of Transportation & Logistics, Southwest Jiaotong University, Chengdu 610031, ChinaDepartment of Civil and Environmental Engineering, University of Waterloo, N2L3G1, CanadaUrban rail transit (URT) scheduling requires designing efficient timetables that can meet passengers’ expectations about the lower travel cost while attaining revenue management objectives of the train operators. This paper presents a biobjective timetable optimization model that seeks maximizing the operating revenue of the railway company while lowering passengers’ average travel cost. We apply a fuzzy multiobjective optimization and a nondominated sorting genetic algorithm II to solve the optimization problem and characterize the trade-off between the conflicting objective functions under different types of distances. To illustrate the model and solution methodology, the proposed model and solution algorithms are validated against train operation record from a URT line of Chengdu metro in China. The results show that significant improvements can be achieved in terms of the travel cost and revenue return criteria when implementing the solutions obtained by the proposed model.http://dx.doi.org/10.1155/2018/7805168 |
| spellingShingle | Wenxin Li Qiyuan Peng Qinlin Li Chao Wen Yongxiang Zhang Javad Lessan Joint Operating Revenue and Passenger Travel Cost Optimization in Urban Rail Transit Journal of Advanced Transportation |
| title | Joint Operating Revenue and Passenger Travel Cost Optimization in Urban Rail Transit |
| title_full | Joint Operating Revenue and Passenger Travel Cost Optimization in Urban Rail Transit |
| title_fullStr | Joint Operating Revenue and Passenger Travel Cost Optimization in Urban Rail Transit |
| title_full_unstemmed | Joint Operating Revenue and Passenger Travel Cost Optimization in Urban Rail Transit |
| title_short | Joint Operating Revenue and Passenger Travel Cost Optimization in Urban Rail Transit |
| title_sort | joint operating revenue and passenger travel cost optimization in urban rail transit |
| url | http://dx.doi.org/10.1155/2018/7805168 |
| work_keys_str_mv | AT wenxinli jointoperatingrevenueandpassengertravelcostoptimizationinurbanrailtransit AT qiyuanpeng jointoperatingrevenueandpassengertravelcostoptimizationinurbanrailtransit AT qinlinli jointoperatingrevenueandpassengertravelcostoptimizationinurbanrailtransit AT chaowen jointoperatingrevenueandpassengertravelcostoptimizationinurbanrailtransit AT yongxiangzhang jointoperatingrevenueandpassengertravelcostoptimizationinurbanrailtransit AT javadlessan jointoperatingrevenueandpassengertravelcostoptimizationinurbanrailtransit |