Optimization Problem of Pricing and Seat Allocation Based on Bilevel Multifollower Programming in High-Speed Railway
This paper studies the multistage pricing and seat allocation problems for multiple train services in a high-speed railway (HSR) with multiple origins and destinations (ODs). Taking the maximum total revenue of all trains as the objective function, a joint optimization model of multistage pricing an...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2021/5316574 |
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| author | Lianbo Deng Jing Xu Ningxin Zeng Xinlei Hu |
| author_facet | Lianbo Deng Jing Xu Ningxin Zeng Xinlei Hu |
| author_sort | Lianbo Deng |
| collection | DOAJ |
| description | This paper studies the multistage pricing and seat allocation problems for multiple train services in a high-speed railway (HSR) with multiple origins and destinations (ODs). Taking the maximum total revenue of all trains as the objective function, a joint optimization model of multistage pricing and seat allocation is established. The actual operation constraints, including train seat capacity constraints, price time constraints in each period, and price space constraints among products, are fully considered. We reformulate the optimization model as a bilevel multifollower programming model in which the upper-level model solves the seat allocation problem for all trains serving multiple ODs in the whole booking horizon and the lower optimizes the pricing decisions for each train serving each OD in different decision periods. The upper and lower are a large-scale static seat allocation programming and many small-scale multistage dynamic pricing programming which can be solved independently, respectively. The solving difficulty can be significantly reduced by decomposing. Then, we design an effective solution method based on divide-and-conquer strategy. A real instance of the China’s Wuhan-Guangzhou high-speed railway is employed to validate the advantages of the proposed model and the solution method. |
| format | Article |
| id | doaj-art-c291c9e951094937873373e1a22b03fe |
| institution | Kabale University |
| issn | 2042-3195 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-c291c9e951094937873373e1a22b03fe2025-02-03T01:31:27ZengWileyJournal of Advanced Transportation2042-31952021-01-01202110.1155/2021/5316574Optimization Problem of Pricing and Seat Allocation Based on Bilevel Multifollower Programming in High-Speed RailwayLianbo Deng0Jing Xu1Ningxin Zeng2Xinlei Hu3School of Traffic and Transportation EngineeringSchool of Traffic and Transportation EngineeringChina Railway SIYUAN Survey and Design Group Co. Ltd.School of Traffic and Transportation EngineeringThis paper studies the multistage pricing and seat allocation problems for multiple train services in a high-speed railway (HSR) with multiple origins and destinations (ODs). Taking the maximum total revenue of all trains as the objective function, a joint optimization model of multistage pricing and seat allocation is established. The actual operation constraints, including train seat capacity constraints, price time constraints in each period, and price space constraints among products, are fully considered. We reformulate the optimization model as a bilevel multifollower programming model in which the upper-level model solves the seat allocation problem for all trains serving multiple ODs in the whole booking horizon and the lower optimizes the pricing decisions for each train serving each OD in different decision periods. The upper and lower are a large-scale static seat allocation programming and many small-scale multistage dynamic pricing programming which can be solved independently, respectively. The solving difficulty can be significantly reduced by decomposing. Then, we design an effective solution method based on divide-and-conquer strategy. A real instance of the China’s Wuhan-Guangzhou high-speed railway is employed to validate the advantages of the proposed model and the solution method.http://dx.doi.org/10.1155/2021/5316574 |
| spellingShingle | Lianbo Deng Jing Xu Ningxin Zeng Xinlei Hu Optimization Problem of Pricing and Seat Allocation Based on Bilevel Multifollower Programming in High-Speed Railway Journal of Advanced Transportation |
| title | Optimization Problem of Pricing and Seat Allocation Based on Bilevel Multifollower Programming in High-Speed Railway |
| title_full | Optimization Problem of Pricing and Seat Allocation Based on Bilevel Multifollower Programming in High-Speed Railway |
| title_fullStr | Optimization Problem of Pricing and Seat Allocation Based on Bilevel Multifollower Programming in High-Speed Railway |
| title_full_unstemmed | Optimization Problem of Pricing and Seat Allocation Based on Bilevel Multifollower Programming in High-Speed Railway |
| title_short | Optimization Problem of Pricing and Seat Allocation Based on Bilevel Multifollower Programming in High-Speed Railway |
| title_sort | optimization problem of pricing and seat allocation based on bilevel multifollower programming in high speed railway |
| url | http://dx.doi.org/10.1155/2021/5316574 |
| work_keys_str_mv | AT lianbodeng optimizationproblemofpricingandseatallocationbasedonbilevelmultifollowerprogramminginhighspeedrailway AT jingxu optimizationproblemofpricingandseatallocationbasedonbilevelmultifollowerprogramminginhighspeedrailway AT ningxinzeng optimizationproblemofpricingandseatallocationbasedonbilevelmultifollowerprogramminginhighspeedrailway AT xinleihu optimizationproblemofpricingandseatallocationbasedonbilevelmultifollowerprogramminginhighspeedrailway |