机电工程技术2024，Vol.53Issue(11)：269-273,5.DOI:10.3969/j.issn.1009-9492.2024.11.057
基于智能体仿真的城市轨道车站客流评估及发车间隔优化方法
Passenger Flow Evaluation and Interval Optimization Method of Urban Rail Transit Station Based on Agent Simulation Technology
陈鹏 1尹彦博2
作者信息
- 1. 广州市交通规划研究院有限公司,广州 510030
- 2. 西南交通大学交通运输与物流学院,成都 611756
- 折叠
摘要
Abstract
In the face of the growing demand for urban transportation,many rail transit systems in cities experiences the phenomenon of station passenger flow congestion caused by insufficient capacity.Considering the fluctuation characteristics and randomness of urban rail passenger flow,there are some problems in actual operation such as the insufficient division of train interval,which is difficult to fully match the status of passenger flow in full-day.To solve the above problems,a collaborative method of passenger flow evaluation and interval optimization of urban rail transit stations based on agent simulation technology is proposed.Through physical modeling and logical modeling,the station pedestrian simulation model is established to simulate the inbound and outbound passenger flow throughout the day.Based on the real-time monitoring and feedback of passenger flow state,an intelligent decision-making mechanism of interval is designed to complete the fine adjustment of interval in time dimension.Finally,a subway station is taken as an example for experimental verification.The analysis results show that the proposed method can reduce the maximum passenger flow density by about 21%and shorten the average time from station to ride by about 10%in the peak period of the station after the fine-tuning of the interval,which has a good improvement effect on the passenger flow congestion in the station,and is conducive to improving the balance of rail system capacity and station operation management level.关键词
城市轨道交通/智能体仿真/列车发车间隔/仿真优化Key words
urban rail transit/agent simulation/train interval/simulation optimization分类
交通工程引用本文复制引用
陈鹏,尹彦博..基于智能体仿真的城市轨道车站客流评估及发车间隔优化方法[J].机电工程技术,2024,53(11):269-273,5.
