城市轨道交通车站客流状态采集范围

随着城市化进程的不断推进,迅猛增加的轨道交通客流对客运组织管理提出了更高的要求。目前,虽然多样化的视频采集设备已广泛应用于地铁客流监测中,但是对视频监测范围缺乏统一的标准规范导致监控设备布设随意性大、客流采集无法满足监测需求,鉴于此,课题开展对轨道交通车站客流状态数据采集范围的研究。首先,阐述了客流状态采集范围的概念和影响因素；其次,分析轨道交通车站不同功能区域的数据采集参数类型,以全面性及精度最优为目标,构建了不同功能区域的采集范围模型,并给出模型中参数权重的计算方法和模型求解方法；最后,以北京西直门地铁站为研究对象进行实例分析,给出其不同功能区客流状态数据的最优采集范围。本研究可为交通流数据的获取提供有效的技术支持和保障。

Research on Collection Range of Passenger Flow Statein Rail Transit Station

With the continuous advancement of urbanization, the rapid increasing of subway passenger flow has put forward higher requirements for transportation organization and management. Although diversified video capture equipment has been widely used in the monitoring of subway passenger flow, the lack of a unified standard specification for video monitoring range has led to the random layout of monitoring equipment and passenger flow collection cannot meet the monitoring requirements. In view of this, the study researches the acquisition range of the subway station passenger flow status. First, the concept and influencing factors of the passenger flow status collection range are explained; Secondly, the data collection parameter types of different functional areas of rail transit stations are analyzed, with the goal of comprehensiveness and accuracy as the goal, we constructed the collection range models for different functional areas. Also given the calculation method of parameter weight and solution algorithm. Finally, Beijing Xizhimen subway station is selected as the research object, and the optimal collection range of passenger flow status data in different functional areas are given. This research can provide effective technical support and guarantee for the acquisition of traffic flow data.