期刊检索

  • 2019年第51卷
  • 2018年第50卷
  • 2017年第49卷
  • 2016年第48卷
  • 2015年第47卷
  • 2014年第46卷
  • 2013年第45卷
  • 2012年第44卷
  • 2011年第43卷
  • 2010年第42卷
  • 第1期
  • 第2期

主管单位 中华人民共和国
工业和信息化部
主办单位 哈尔滨工业大学 主编 冷劲松 国际刊号ISSN 0367-6234 国内刊号CN 23-1235/T

期刊网站二维码
微信公众号二维码
引用本文: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].Journal of Harbin Institute of Technology,2019,51(2):179-185.DOI:10.11918/j.issn.03676234.201806171
【打印本页】   【HTML】   【下载PDF全文】   查看/发表评论  下载PDF阅读器  关闭
过刊浏览    高级检索
本文已被:浏览 116次   下载 325 本文二维码信息
码上扫一扫!
分享到: 微信 更多
突发大客流下地铁协调限流优化模型
冯树民,陈勇,辛梦薇
(哈尔滨工业大学 交通科学与工程学院,哈尔滨 150090)
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.
关键词:  城市轨道交通  突发大客流  形成机理  客流控制  协调限流模型
DOI:10.11918/j.issn.03676234.201806171
分类号:U239.5
文献标识码:A
基金项目:2017年安全生产重大事故防治关键技术科技项目(heilongjiang-0004-2017AQ)
Coordination passenger flow control model for metro under sudden large passenger flow
FENG Shumin,CHEN Yong,XIN Mengwei
(School of Transportation Science and Engineering, Harbin Institute of Technology, Harbin 150090, China)
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.
Key words:  urban rail transit  sudden large passenger flow  the formation mechanism  passenger flow control  coordinated passenger-flow-limiting control model

友情链接LINKS