摘要
针对城市轨道交通车厢内人数的实时监测和均匀分散承载的问题,提出一种城市轨道车厢人数检测传感器布设优化方法.首先,基于实地调研与仿真建立车厢与传感器单元的基本模型;其次,构建优化检测器优化布设和检测精度的双层规划模型,设计改进的人工鱼群算法求解;最后,利用北京地铁2号线实际调查数据进行实例验证.结果表明,每节车厢检测人数的平均误差为7.13%,拥挤度误差小于1%.
In order to improve residents demand for the quality of urban rail transit,to promote the priority strategy of public transport,and to prevent and control the epidemic,this paper examines the real-time monitoring and how to evenly distribute carrying capacity of the passengers in urban rail transit.This paper proposes an optimization method of sensor deployment for the number of passengers in urban rail cars.First,the basic model of carriage and sensor unit is established based on field investigation and simulation.Secondly,a bi-level programming model is proposed to optimize the detector layout and detection accuracy,and an improved artificial fish swarm algorithm is designed to solve the problem.Finally,the actual survey data of Beijing Metro Line 2 is used for verification.The results show that the average error of the number of people in each carriage is 7.13%,and the error of congestion is less than 1%.
作者
戚子玥
施子逸
周庆泽
邵春福
QI Ziyue;SHI Ziyi;ZHOU Qingze;SHAO Chunfu(School of Transportation,Beijing Jiaotong University,Beijing 100044,China;School of Electronic and Information Engineering,Beijing Jiaotong University,Beijing 100044,China)
出处
《交通工程》
2021年第5期88-96,共9页
Journal of Transportation Engineering
关键词
交通运输
城市轨道
传感器
检测
人工鱼群算法
transportation
urban rail
sensor
detect
artificial fish swarm algorithm
