Modeling on Coordinated Passenger Flow Control for Multiple Stations in a Single Line of Urban Rail Transit

6th Annual 2018 International Conference on Geo-Spatial Knowledge and Intelligence

Xue, Hongjiao^1 ; Yang, Ping^1 ; Zhang, Hong^1 ; Jing, Enhe^1

Beijing Polytechnic, Beijing

100176, China^1

关键词: Decision variables;    Model and algorithms;    Multi-stations;    Objective functions;    Passenger flows;    Research object;    Urban rail transit;    Urban rail transit systems;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/234/1/012008/pdf
DOI  :  10.1088/1755-1315/234/1/012008

来源: IOP

【 摘 要 】

This paper studies the problem of morning peak passenger congestion in urban rail transit system. Taking multiple stations of a single line as the research object, taking the attributes of train stop and station traffic limit as decision variables, and taking the maximum number of passengers in the urban rail transit system and the minimum proportion variance of each station as the objective function, taking multiple stations of a single line as the research object. A multi-station coordinated passenger flow control model of urban rail transit was constructed and solved by genetic algorithm. In the end, the downward direction of morning peak of Changchun metro line 1 is taken as a case to verify the effectiveness of the model and algorithm.