TY - JOUR
T1 - Study on Optimization of Passenger Flow at a Metro Station Based on AnyLogic—Case Study of Youfangqiao Station of Nanjing Metro Line 2
AU - Ni, Weihong
AU - Yu, Jiahao
AU - Cai, Hong
AU - Bai, Meimei
AU - Wu, Bin
N1 - Publisher Copyright:
© The author(s) 2021.
PY - 2021/9/1
Y1 - 2021/9/1
N2 - In this study, simulation software AnyLogic was used to establish a station simulation model for a metro line. First, a basic model of the environment of the metro station was drawn, and accordingly, reasonable assumptions and simplifications were proposed. Then, a diagram of the passenger walking path was created and the simulation variables and functions for passenger flow management were designed. Considering Youfangqiao Station of Nanjing Metro Line 2 in China as an example, the real passenger flow data of this station were statistically analyzed. To simulate the station passenger flow management, input parameters such as the passenger space diameter, passenger flow generation rate, delay rate of automatic fare collection equipment and security check machine, and the number of gates were considered. Passenger flow management was optimized for the morning and evening peak periods, and reasonable suggestions were proposed based on the optimization results, providing a theoretical basis for the construction planning and preevaluation of station operation capacities of urban rail transit systems.
AB - In this study, simulation software AnyLogic was used to establish a station simulation model for a metro line. First, a basic model of the environment of the metro station was drawn, and accordingly, reasonable assumptions and simplifications were proposed. Then, a diagram of the passenger walking path was created and the simulation variables and functions for passenger flow management were designed. Considering Youfangqiao Station of Nanjing Metro Line 2 in China as an example, the real passenger flow data of this station were statistically analyzed. To simulate the station passenger flow management, input parameters such as the passenger space diameter, passenger flow generation rate, delay rate of automatic fare collection equipment and security check machine, and the number of gates were considered. Passenger flow management was optimized for the morning and evening peak periods, and reasonable suggestions were proposed based on the optimization results, providing a theoretical basis for the construction planning and preevaluation of station operation capacities of urban rail transit systems.
KW - AnyLogic
KW - metro
KW - passenger flow management
KW - pedestrian
UR - http://www.scopus.com/inward/record.url?scp=85139426176&partnerID=8YFLogxK
U2 - 10.23919/CSMS.2021.0009
DO - 10.23919/CSMS.2021.0009
M3 - 文章
AN - SCOPUS:85139426176
SN - 2096-9929
VL - 1
SP - 242
EP - 252
JO - Complex System Modeling and Simulation
JF - Complex System Modeling and Simulation
IS - 3
ER -