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

作　　者：陈鹏 尹彦博 Chen Peng;Yin Yanbo(Guangzhou Transport Planning Research Institute Co.,Ltd.,Guangzhou 510030,China;College of Transportation and Logistics,Southwest Jiaotong University,Chengdu 611756,China)

机构地区：[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

出　　处：《机电工程技术》2024年第11期269-273,共5页Mechanical & Electrical Engineering Technology

摘　　要：面对日益增长的城市出行需求,不少城市轨道交通系统都已出现因运能不足导致的车站客流拥堵现象,考虑到城市轨道客流的波动特征与随机性,实际运营中存在对列车发车间隔划分不够精细化,难以充分匹配全日客流状态等问题。针对以上问题,基于智能体仿真技术,提出了一种城市轨道车站客流评估与发车间隔优化的协同方法。通过物理建模与逻辑建模,建立车站行人仿真模型以实现车站全日进出站客流模拟;设计一种发车间隔智能决策机制,基于客流状态的实时监测反馈,完成发车间隔在时间维度上的精细化调整;最后以某地铁车站为例进行实验验证,分析结果表明:所提出的方法在发车间隔精细化调整后,使车站高峰期最大客流密度下降约21%,人均进站乘车时间缩短约10%,对于车站客流拥挤现象有较好的改善效果,有利于提升轨道系统运能均衡性与车站运营管理水平。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 

分 类 号：U231[交通运输工程—道路与铁道工程]