Collaborative Full-length and Short-turning Plan and Joint Multi-station Control of Passenger Flow in Urban Rail Transit

被引：0
|
作者：
Chen W.-Y. [1 ]
Zhang Y. [1 ]
Chen X. [1 ]
Wang J.-Y. [1 ]
机构：
[1] Traffic and Transportation Engineering School, Central South University, Changsha
来源：
Jiaotong Yunshu Xitong Gongcheng Yu Xinxi/Journal of Transportation Systems Engineering and Information Technology | 2019年 / 19卷 / 05期
基金：
中国国家自然科学基金;
关键词：
Artificial bee colony algorithm; Collaborative optimization; Full-length and short-turning plan; Joint multi-station control of passenger flow; Urban traffic;
D O I：
10.16097/j.cnki.1009-6744.2019.05.025
中图分类号：
学科分类号：
摘要：
During peak hours, urban rail transit has large passenger flow and uneven distribution of passenger flow in space, which causes the imbalance of supply and demand and the safety pressure of the station passenger flow organization. To alleviate this problem, this paper proposes collaborative full-length and short-turning plan and joint multi-station control of passenger flow transport organization method. We considers the constraints of passenger flow safety capacity, train running time and full-length and short-turning, and the model which goals are minimizing passenger travel cost, operating cost, and the sums of passengers on board ratio variance of each station is established. A nested artificial bee colony algorithm is designed to solve the model. Taking the urban rail transit line of a city as an example to verify the validity and applicability of the model, and the sensitivity analysis of the short-turning frequency and multi-objective weight coefficient is carried out. The results show that the method can save the operating cost of the enterprise and improve the fairness of passenger travel, and relieve the pressure on the passenger flow of the large passenger flow station effectively. Copyright © 2019 by Science Press.
引用
收藏
页码：177 / 184
页数：7
相关论文
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