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中国管理科学 ›› 2022, Vol. 30 ›› Issue (2): 150-155.doi: 10.16381/j.cnki.issn1003-207x.2019.0232

• 论文 • 上一篇    

交通系统运营管控方案构建

黄晓琼, 韩云祥   

  1. 1.西南交通大学经济管理学院,四川 成都610031; 2.四川大学计算机学院,四川 成都610065
  • 收稿日期:2019-02-21 修回日期:2020-04-24 发布日期:2022-03-02
  • 通讯作者: February,2022 E-mail:hannuaa@126.com
  • 基金资助:
    韩云祥

Formulation of Control Scheme for Traffic System

HUANG Xiao-qiong1, HAN Yun-xiang2   

  1. 1. School of Economics and Management, Southwest Jiaotong University, Chengdu 610031, China;2. College of Computer Science, Sichuan University, Chengdu 610065, China
  • Received:2019-02-21 Revised:2020-04-24 Published:2022-03-02
  • Contact: 韩云祥(1985-),男(汉族),河南驻马店人,四川大学计算机学院副研究员,博士,研究方向:系统建模与优化控制,Email:hannuaa@126.com. E-mail:hannuaa@126.com

摘要: 从路网列车流的宏观特性出发,通过引入列车流量和调整措施两类运行参数,在对交通路网进行有效分割的基础上,依据所分割各路段内列车的起始站点和终止站点将其划分为不同队列。针对不同的路网空间分布结构形式,基于列车流调控机制,构建了系统输入变量和状态变量之间的约束关系建立了交通流控制模型。基于特定的调控目标,将交通流的调控过程转化为控制系统的优化设计问题,研究结果可为路网交通流优化控制提供重要参考。

关键词: 地铁站点;城域网;优化;数学模型

Abstract: Recently there has been a lot of interest in the train flow management community towards modeling and analysis of the urban rail traffic system. Traditionally, models used in urban rail traffic control and train flow management are based on simulating the trajectories of individual train. Starting from the macroscopic characteristics of the train flow in the road network, train flow rate and regulation measures are introduced on the basis of road network division of urban rail transit network. The premise for this research is that some of the optimization control problems can be addressed by better train flow management without any capacity enhancement. Different kinds of train queues are acquired according to the departure station and the destination station. For different road network spatial distribution structure, the constraint relationships between the input variables and the state variables are presented and the single queue traffic flow control model is established based on the train flow control mechanism. Furthermore, the deterministic traffic flow optimal control model incorporating multi-queue and multi-segment is putforward by incorporating the logic structure of train queues. The traffic flow control process is transformed into the optimal design problem of the control system using specific control objectives and it can provide decision making for the traffic flow scheduling. Finally, experiments on metro line elements are conducted that may have effects on traffic flow, with further discussing on possible improvements. The simulation results demonstrate that the method presented in this paper can provide effective decision making for metro train flow regulation.

Key words: subway stations; metropolitan area networks; optimization; mathematical models

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