Stair/escalator/elevator selection behavior of passengers in subway stations based on the fuzzy logic theory

IF 1.3 4区工程技术 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Simulation-Transactions of the Society for Modeling and Simulation International Pub Date : 2023-01-12 DOI:10.1177/00375497221145645

Rui Zhang, Xiaoxia Yang, Meiqi Zhou, Yongxing Li, Xiaoli Yang

{"title":"Stair/escalator/elevator selection behavior of passengers in subway stations based on the fuzzy logic theory","authors":"Rui Zhang, Xiaoxia Yang, Meiqi Zhou, Yongxing Li, Xiaoli Yang","doi":"10.1177/00375497221145645","DOIUrl":null,"url":null,"abstract":"The behavior of stair/escalator/elevator selection of passengers at the subway platform could directly affect the travel efficiency and even the service level of the station. This paper proposes a stair/escalator/elevator selection model of passengers at the subway platform, where the cellular automata model is used to simulate passenger movement, and the fuzzy logic theory is used to describe selection behavior. The distance to the stair/escalator/elevator and the density of passengers in front of the facility are selected as the main influence factors. The rationality and effectiveness of the selection model are verified by comparing the field data with simulation results of passengers choosing different stairs/escalators/elevators. The relationship between passenger quantity, passenger speed, escalator quantity, escalator location, and the traffic rate is analyzed based on simulation results, which can provide a theoretical reference for the facility layout optimization at the platform floor of the subway station.","PeriodicalId":49516,"journal":{"name":"Simulation-Transactions of the Society for Modeling and Simulation International","volume":"98 1","pages":"755 - 772"},"PeriodicalIF":1.3000,"publicationDate":"2023-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Simulation-Transactions of the Society for Modeling and Simulation International","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1177/00375497221145645","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}

引用次数: 2

Abstract

The behavior of stair/escalator/elevator selection of passengers at the subway platform could directly affect the travel efficiency and even the service level of the station. This paper proposes a stair/escalator/elevator selection model of passengers at the subway platform, where the cellular automata model is used to simulate passenger movement, and the fuzzy logic theory is used to describe selection behavior. The distance to the stair/escalator/elevator and the density of passengers in front of the facility are selected as the main influence factors. The rationality and effectiveness of the selection model are verified by comparing the field data with simulation results of passengers choosing different stairs/escalators/elevators. The relationship between passenger quantity, passenger speed, escalator quantity, escalator location, and the traffic rate is analyzed based on simulation results, which can provide a theoretical reference for the facility layout optimization at the platform floor of the subway station.

查看原文本刊更多论文

基于模糊逻辑理论的地铁车站乘客楼梯/自动扶梯/电梯选择行为

乘客在地铁站台的楼梯/自动扶梯/电梯选择行为直接影响到车站的出行效率甚至服务水平。本文提出了一种地铁站台乘客楼梯/自动扶梯/电梯选择模型，该模型采用元胞自动机模型模拟乘客运动，并采用模糊逻辑理论描述乘客选择行为。选择到楼梯/自动扶梯/电梯的距离和设施前的乘客密度作为主要影响因素。将现场数据与乘客选择不同楼梯/自动扶梯/电梯的仿真结果进行对比，验证了选择模型的合理性和有效性。基于仿真结果，分析了地铁站台客流量、乘客速度、扶梯数量、扶梯位置与通行率之间的关系，为地铁站台层设施布局优化提供理论参考。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Simulation-Transactions of the Society for Modeling and Simulation International 工程技术-计算机：跨学科应用

CiteScore

3.50

自引率

31.20%

发文量

审稿时长

3 months

期刊介绍： SIMULATION is a peer-reviewed journal, which covers subjects including the modelling and simulation of: computer networking and communications, high performance computers, real-time systems, mobile and intelligent agents, simulation software, and language design, system engineering and design, aerospace, traffic systems, microelectronics, robotics, mechatronics, and air traffic and chemistry, physics, biology, medicine, biomedicine, sociology, and cognition.