Abstract
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 pre-evaluation of station operation capacities of urban rail transit systems.
Highlights
The urban metro system in China has entered a period of rapid development
AnyLogic simulation software was used to construct the structure of the metro station, and conduct the simulation research by changing simulation parameters such as the speed of security check, the number and the running speed of automatic fare collection equipment
(1) The metro is an important means of transportation, and a sharp increase in the passenger flow will inevitably put great pressure on the original automatic fare collection (AFC) equipment in station halls, especially those stations that cannot add new equipment because of smaller areas
Summary
The urban metro system in China has entered a period of rapid development. As an important means and effective method for alleviating urban traffic congestion, the metro has gained considerable attention from many viewpoints. Most of the existing research on the passenger flow management of stations was conducted from the perspective of operation. In an early field study, Older[1] found that changing the locations of different facilities had a serious impact on the pedestrian flow route. Weihong Ni et al.: Study on Optimization of Passenger Flow at a Metro Station Based on AnyLogic. Nikolić[10] determined the relevant characteristics of pedestrian flow (such as the time for movement and required space) based on field data collection at railway stations, aiming to study the qualitative and quantitative properties of pedestrian behavior. AnyLogic simulation software was used to construct the structure of the metro station, and conduct the simulation research by changing simulation parameters such as the speed of security check, the number and the running speed of automatic fare collection equipment
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