Study on high-speed railway ticket allocation under conditions of multiple trains and multiple train stop plans

被引：0
|
作者：
Zhao X. [1 ]
Zhao P. [1 ]
Li B. [1 ]
机构：
[1] School of Traffic and Transportation, Beijing Jiaotong University, Beijing
来源：
Zhao, Peng (pzhao@bjtu.edu.cn) | 1600年 / Science Press卷 / 38期
关键词：
High-speed railway; Multiple trains; Particle swarm algorithm; Ticket allocation; Train stop plan;
D O I：
10.3969/j.issn.1001-8360.2016.11.002
中图分类号：
学科分类号：
摘要：
At the stage of high-speed passenger train ticket allocation, firstly, the forecast on passenger travel demand of one passenger train should be conducted first before ticket allocation. According to passenger flow demand, as one origin-destination itinerary can be serviced by multiple passenger trains with alternative to each other, the method of passenger flow assignment being conducted first before ticket allocation can hardly ensure optimal ticket allocation plans of all passenger trains. This paper put forward a method of ticket allocation under the conditions of multiple trains and multiple train stop plans, A nonlinear integer programming model was established with seat restriction as decision variables, which was solved using particle swarm algorithm. After verification of the model and algorithm by an example, the method proposed in this paper was compared with the method of passenger flow assignment being conducted first before ticket allocation. The results illustrated that the proposed method can improve revenues in terms of all passenger trains of the whole line. Compared with existing method of ticket allocation, the proposed method is better. © 2016, Editorial Office of Journal of the China Railway Society. All right reserved.
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页码：9 / 15
页数：6
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