基于售票数据的铁路客运站人流量监测预警系统设计

Design of Passenger Flow Monitoring and Early Warning System for Railway Stations based on Ticketing Data

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。

It is usually crowded at the railway station as there are too many trains arriving and departing in a short period of time, which brings great pressure to the work of emergency management. In this light, the paper makes a prediction of passenger volume during the rush hours of the next day based on the ticketing record and the passengers＇ arrival distribution of the day. On this basis, it develops a station monitoring and early-warning system that incorporates demand analysis, architecture building and function design. It provides monitoring, prediction and early warning functions of passenger flow, so as to prepare the station staff for emergency management.