Optimization for transfer coordination of network timetable in urban rail transit

被引：0
|
作者：
Bai G. [1 ]
Guo J. [1 ]
Shi H. [2 ]
Yang Y. [1 ]
Zhang T. [3 ]
机构：
[1] School of Information Science and Technology, Southwest Jiaotong University, Chengdu
[2] School of Traffic and Transportation, Southwest Jiaotong University, Chengdu
[3] Chengdu Metro Corporation, Chengdu
来源：
Guo, Jin (gj60@sina.com) | 2016年 / Science Press卷 / 38期
关键词：
NSGA-II algorithm; Optimization model; Transfer optimization; Transfer station; Urban rail transit;
D O I：
10.3969/j.issn.1001-8360.2016.06.001
中图分类号：
学科分类号：
摘要：
The paper addressed the issue of reducing the transfer waiting time of passengers in transfer stations in the urban traffic network, by coordinating the departure times of trains in each direction in a transfer station and the running time of trains between transfer stations. Firstly, based on the analysis of the transfer process in a transfer station, a method to calculate all passengers' waiting time was presented. Then, in response to the interaction between departure times of trains in different transfer stations in the rail transit network, a strategy was presented by adjusting the running time between transfer stations to achieve coordination and optimization. A bi-objective optimization model was established, with two objectives aiming at minimizing the waiting time of all passengers of the rail transit network and minimizing the adjustment of the running time of trains between transfer stations. According to the characteristics of model, the Non-dominated Sorting Genetic Algorithm II (NSGA-II) was designed. Finally, the algorithm was used in a case analysis. The results showed that the proposed model could effectively reduce the transfer waiting time of passengers. © 2016, Editorial Office of Journal of the China Railway Society. All right reserved.
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页码：1 / 7
页数：6
相关论文
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