旅客在车站乘车候车过程中,由于高峰期列车间隔紧密,容易出现大量旅客在同一时间段内候车的局面,给车站的应急管理工作造成较大的压力。为此,以车站当日以前所售客票数据为统计基础,结合旅客到达分布统计规律,对次日乘车高峰段站内人流量进行预测。在此基础上,构建车站人流量监测预警系统,进行系统需求分析及系统架构和功能设计,实现对旅客候车人流密度的监测、预测及预警,为车站工作人员提前做好应急管理准备提供支持。 Passengers in the station waiting for the train car, due to the peak train interval closely, prone to a large number of passengers at the same time waiting for the situation, to the station emergency management caused greater pressure. Therefore, based on the statistical data of ticket sales before the day of station, combined with the statistics of passenger arrival distribution, the forecast of passenger flow in rush hour section of the next day is predicted. On this basis, the station traffic monitoring and early warning system is constructed, the system requirements analysis and system architecture and function design are realized, and the monitoring, forecasting and early warning of passenger waiting people’s flow density are realized, providing support for station staff to prepare for emergency management in advance.