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作 者:禹丹丹[1,2] 姚向明 徐会杰[3] 赵鹏[1] 赵伟[3] YU Dandan;YAO Xiangming;XU Huijie;ZHAO Peng;ZHAO Wei(School of Traffic and Transportation,Beijing Jiaotong University,Beijing 100044,China;Technology Research Center Affiliated with Beijing Railway Operation Co.,Ltd,Beijing 102208,China;Beijing Railway Operation Corporation Ltd.,Beijing 100044,China)
机构地区:[1]北京交通大学交通运输学院,北京100044 [2]北京市地铁运营有限公司地铁运营技术研发中心,北京102208 [3]北京市地铁运营有限公司,北京100044
出 处:《铁道科学与工程学报》2019年第11期2873-2880,共8页Journal of Railway Science and Engineering
基 金:国家自然科学基金资助项目(71701011);北京市地铁运营有限公司科研项目(2018000552000001)
摘 要:为降低轨道交通偶发性客流拥挤带来的客运安全风险,基于闭环反馈机制构建车站主动式客流控制策略。以视频识别获取的站台客流密度和闸机统计的进站量为实时数据源,建立以客流安全状态为系统状态变量,以进站客流流速为控制变量的闭环反馈控制机制;为弥补反馈控制固有的时间滞后性,融合客流密度短时预测实现客流的主动预防式调控,对车站实施精细化客流控制。为验证所构建策略的准确性与有效性,运用Anylogic对典型车站进行仿真测试,结果显示该策略能够有效降低客运安全风险,为动态客流控制的实施位置、启动时间和控制强度提供决策参考。In order to reduce the risk caused by occasional congestion to rail transit stations,a closed-loop feedback control was applied to construct an active preventive inflow control strategy.The passenger flow density obtained by video recognition and inflows obtained by ticket-check gates were used as real-time data source.The closed-loop feedback control strategy used the safety state of flows as the system state variable,and the inflow speed as the control variable.In order to make up for the time lag issue of normal feed-back control,short-time prediction of passenger flow density was combined in the control strategy.Then a typical station was simulated by the tool of Anylogic to verify the effectiveness of the proposed method.The results show that the proposed strategy can reduce the flow safety risk and provide support for deciding control location,time and strength.
关 键 词:动态客流控制 闭环反馈控制 城市轨道交通 客运组织安全
分 类 号:U239.5[交通运输工程—道路与铁道工程]
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