突发大客流下地铁协调限流优化模型

冯树民; 陈勇; 辛梦薇

doi:10.11918/j.issn.03676234.201806171

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突发大客流下地铁协调限流优化模型

更新时间：2026-10-23

- 突发大客流下地铁协调限流优化模型
- Coordination passenger flow control model for metro under sudden large passenger flow
- 哈尔滨工业大学学报 2019年51卷第2期页码：179-185
- 作者机构：
  
  哈尔滨工业大学交通科学与工程学院,哈尔滨,150090
- 作者简介：
  
  冯树民(1973—)，男，教授，博士生导师
- 基金信息：
  
  2017年安全生产重大事故防治关键技术科技项目(heilongjiang-0004-2017AQ)
- DOI：10.11918/j.issn.03676234.201806171
  中图分类号： U239.5
- 纸质出版：2019
- 稿件说明：
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冯树民, 陈勇, 辛梦薇. 突发大客流下地铁协调限流优化模型[J]. 哈尔滨工业大学学报, 2019,51(2):179-185.

FENG Shumin, CHEN Yong, XIN Mengwei. Coordination passenger flow control model for metro under sudden large passenger flow[J]. 2019, 51(2): 179-185.
冯树民, 陈勇, 辛梦薇. 突发大客流下地铁协调限流优化模型[J]. 哈尔滨工业大学学报, 2019,51(2):179-185. DOI： 10.11918/j.issn.03676234.201806171.

FENG Shumin, CHEN Yong, XIN Mengwei. Coordination passenger flow control model for metro under sudden large passenger flow[J]. 2019, 51(2): 179-185. DOI： 10.11918/j.issn.03676234.201806171.

摘要

为研究突发大客流下地铁车站客流控制的安全管理措施

重点关注地铁突发大客流的疏散

考虑供需失衡下的疏散策略优化

通过对多个车站协调控制客流

减轻突发大客流对地铁系统的冲击.突发大客流主要包括节假日大客流、大型活动大客流、恶劣天气大客流和地铁故障大客流4种类型.以对突发大客流形成的内在机理研究为基础

建立以乘客平均延误最小和各区间满载率之和最大为目标的协调限流控制优化模型

利用所求解的控流率为客流控制措施提供量化依据.最后通过算例分析

对比采取与不采取协调限流措施两种情况下的控流率和滞留人次

验证了协调限流模型的有效性和可靠性.

Abstract

To study the safety management of the sudden large passenger flow in metro stations

this paper focuses on the metro station evacuation and its strategy improvement under high imbalance between demand and supply. To relieve the stress of the sudden large passenger flow during metro system’s operation

a multi-station coordination control method is proposed. The reasons for large passenger flow mainly include holiday period

large-scale events

severe weather

and metro facilities faults. Based on the formation mechanism of large passenger flow

a coordinated current limiting control model was established to minimize the passenger loss delays and maximize the interval load rate

which can provide quantized basis for flow-control management. Finally

through the example analysis

the controlled flow rate and the number of stranded passengers before and after control were compared

and the effectiveness and reliability of the model were verified.

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