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作 者:马忠政[1] 曾小清[2] 黄继成[1] 熊启鹏 Ma Zhongzheng;Zeng Xiaoqing;Huang Jicheng;Xiong Qipeng;Guo Kaiyi
机构地区:[1]上海申通地铁集团有限公司 [2]同济大学道路与交通工程教育部重点实验室
出 处:《隧道与轨道交通》2019年第3期38-41,59,60,共6页Tunnel and Rail Transit
摘 要:在轨道交通容易出现大客流的交通枢纽站对客流信息进行有效采集,并建设实时、可靠的高密度客流监管及预警系统,是进行客流管理控制的重要手段。针对轨道交通客流调查以人工统计为主及AFC数据源单一的现状,融合Wi Fi、视频检测、手机数据及AFC收费等多元客流检测数据,进行微观、中观及宏观三个层次软件(OD)图大数据分析,提取客流密度与移动方向速度、时空分布、客流预测参数特征,形成轨道交通客流OD精细化管理系统;支撑轨道交通建设前的客流预测,为车辆选型、车站规模提供数据依据,也可用于运营调度、大客流应急安全响应等精细化管理。It is an important method for passenger flow management and control to collect passenger flow information effectively and build a real-time and reliable monitoring and warning system for high-density passenger flow at transport hub stations where large passenger flow is likely to occur.The survey of passenger flow in rail transit is mainly based on manual statistics and the single AFC data source.The predicted passenger flow in the construction stage is not well matched with the real passenger flow in operation.Sudden large passenger flow may influence the normal operation of rail transit system.With regard to the above problems,a study is made based on the multivariate data from WiFi,video detection,mobile phone data,AFC and other passenger flow detection data.Through the big data analyses of OD maps at microscopic,mesoscopic and macroscopic levels,a delicacy management system of rail transit passenger OD flow is established based on the characteristics of passenger flow density,direction and speed,spatial and temporal distribution as well as the characteristics of passenger flow prediction parameters.This system can support passenger flow prediction before rail transit construction and provide data for vehicle selection and the determination of station scale.It can also be used for delicacy management of operation dispatch,emergency response of large passenger flow and so on.
关 键 词:轨道交通 客流调查 多元客流检测 OD图 客流预测 精细化管理
分 类 号:U23[交通运输工程—道路与铁道工程]
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