The Subway Passenger Flow Prediction Based on Big Data from IC Card

摘要：

The subway passenger flow prediction is an important meaning work for Urban public transport management, large passenger and emergencies control, and public security.This paper presents a passenger flow prediction model using the subway IC card big data combined with other factors that is influencing the subway station passenger, such as the weather data, the temperature data, urban land road traffic data, urban elevated highway traffic data, holiday information data.

关键词： Big data Passenger flow prediction Neural network IC card Data reduction Prediction error

作者: ZHU Huai-zhong YANG Xiao-guang

作者单位: The Key Laboratory of Road and Traffic Engineering of the MOE, Tongji University, Shanghai 201804, China

会议类型: 国内会议

会议名称: 中国系统工程学会第19届学术年会

会议地点: 北京

会议语种:英文

页码: 1-1

在线出版日期: 2016-10-28（万方平台首次上网日期，不代表论文的发表时间）