文献类型：期刊文献

英文题名：Subway passenger flow analysis and management optimization model based on AFC data

作者：Sun, Jie[1];Yao, Jiajun[1];Wang, Manxi[1]

第一作者：孙洁

通讯作者：Sun, J[1]

机构：[1]Beijing Union Univ, Business Coll, Beijing, Peoples R China

第一机构：北京联合大学商务学院

通讯机构：[1]corresponding author), Beijing Union Univ, Business Coll, Beijing, Peoples R China.|[1141721]北京联合大学商务学院;[11417]北京联合大学;

年份：2021

卷号：41

期号：4

起止页码：4773-4783

外文期刊名：JOURNAL OF INTELLIGENT & FUZZY SYSTEMS

收录：;EI(收录号：20214611158880);Scopus(收录号：2-s2.0-85118932628);WOS:【SCI-EXPANDED(收录号:WOS:000716498300007)】；

基金：Supported by Social Science Program of Beijing Municipal Education Commission (No.: SM202111417008).

语种：英文

外文关键词：Subway; passenger flow analysis; management optimization model

摘要：With the development of the city, the passenger flow pressure of subway is increasing. At the same time, the daily travel of subway passengers produce a large amount of data such as inbound and outbound. How to use the big data to analyze the passenger flow is the key to solve the problems of crowded carriages and insufficient capacity in peak hours, high empty load rate in low hours and long waiting time for passengers. Based on the AFC data of Beijing subway system, this paper analyzes the temporal and spatial distribution characteristics of the passenger flow in the subway network. At the same time, taking subway line 5 as an example, it quantitatively calculates the imbalance coefficient of passenger flow in time, section and direction. Combined with the calculation results, it also proposes management optimization model and gives some advice to the subway operation department from the aspects of passenger organization and transport management.