城市轨道交通车站大客流处置的数据驱动模式

Data-driven Mode of Large Passenger Flow Emergency Disposal at Urban Rail Transit Station

随着城市轨道交通网络规模和客流规模的不断扩大,大客流风险也越来越凸显。相较于基于历史经验的大客流应急处置模式,基于数据驱动的大客流智能化/智慧化处置辅助决策技术在事前预警预测、事中处置和事后评估等方面都有突出优势。从车站客流处置数据驱动模式的信息感知、风险预判及处置决策3方面入手,探究城市轨道交通车站多源数据融合驱动下的客流处置模式的技术实现途径,可为我国各大城市轨道交通车站大客流的数据驱动模式探究提供参考。

With the continuous scale expansion of metro network and passenger flow,the risks of large passenger flow are becoming more and more prominent.Compared with the large passenger flow emergency disposal mode based on historical experiences,the data-driven intelligent large passenger flow management and the intelligent disposal assistant decision-making technologies for large passenger flow have outstanding advantages in early warning prediction,process disposal and post-event evaluation.From three aspects of information perception,risk anticipation and disposal decision of the data-driven mode for metro passenger flow disposal,technical routes of passenger flow disposal mode at station driven by multiple source fusion data are explored,which provides a reference for the data-driven mode of larger passenger flow disposal at rail transit station in other Chinese cities.