Study of the Intelligent Analysis and Prediction about Subway Passenger Flow during Large-scale Events

摘要：

　　Through analysis of historical data of subway transportation,use the model extracted from the law of normal and large-scale activities passenger traffic flow and combine the pattern library established by large-scale events attribute information,this paper describes a method that provides a way to forecast the subway traffic passenger flow when a large-scale activity will happen.Before the occurrence of large-scale activities,We analysis and forecast the in and out passenger flow for the stations,which around the place where the large-scale activity will happen,and the entire road network which could describe the effect of this activity to the whole network.This system able to provide passengers with a travel reference to ensure the travel speed,security and comfort,and provide an important basis for the traffic management department to realize the effective real-time scheduling.

关键词： Large-scale events Subway traffic flow data Intelligent analysis and forecast

作者: Jianchu Kang Songsong Pang Yan Zhang

作者单位: School of Computer Science & Engineering Beihang University 100191,Beijing, China

会议类型: 国际会议

会议名称: 2013 2nd International Conference on Systems Engineering and Modeling(ICSEM-13)(2013年第二届系统工程与建模国际会议)

会议地点: 北京

会议语种:英文

页码: 63-67

在线出版日期: 2013-04-19（万方平台首次上网日期，不代表论文的发表时间）