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Modeling orderly queuing behavior with bending effects  ( SCI-EXPANDED收录 EI收录)  

文献类型:期刊文献

英文题名:Modeling orderly queuing behavior with bending effects

作者:Li, Wenhang[1,2];Li, Yi[3];Yu, Ping[4];Gong, Jianhua[1,2];Fan, Hongkui[1];Zhang, Dong[1,2];Huang, Lin[1,2];Zhang, Guoyong[1,2]

第一作者:Li, Wenhang

通讯作者:Li, WH[1]

机构:[1]Chinese Acad Sci, Aerosp Informat Res Inst, Beijing 100094, Peoples R China;[2]Univ Chinese Acad Sci, Beijing 100049, Peoples R China;[3]Zhoukou Vocat & Tech Coll, Coll Agr & Anim Husb Engn, Zhoukou, Henan, Peoples R China;[4]Xinxiang Univ, Sch Management, Urumqi, Henan, Peoples R China

第一机构:Chinese Acad Sci, Aerosp Informat Res Inst, Beijing 100094, Peoples R China

通讯机构:[1]corresponding author), Chinese Acad Sci, Aerosp Informat Res Inst, Beijing 100094, Peoples R China.

年份:2022

卷号:601

外文期刊名:PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

收录:;EI(收录号:20222412211799);Scopus(收录号:2-s2.0-85131411551);WOS:【SCI-EXPANDED(收录号:WOS:000813927300005)】;

基金:This research is supported and funded by the National Natural Science Foundation of China (41971361) , the National Key Technology R&D Program of China (2020YFC0833103) . The authors greatly appreciate the reviewers? comments.

语种:英文

外文关键词:Orderly queuing model with bending effects; Leader-follower pair model; Stop-and-go behavior and its backward; conduction; ORCA model

摘要:Orderly queuing behavior in open areas with bending effects is studied in this paper. Models are proposed to simulate such behavior, including a motion state model, bending effect model, leader-follower model, virtual linear obstacle model, and group-shopping model. By comparing a simulated queue with an actual one, the entire processes of a pedestrian walking to a queue tail, joining the queue, orderly moving in the queue, shopping, and leaving the queue can be simulated. Additionally, the "arc bending'' effect with one or multiple obstacles, the "stop-and-go"behavior and its backward propagation along the queue, and the "group shopping'' effect around the shopping point are reproduced, similarly to the behavior observed in actual queues. Moreover, factors affecting queuing efficiency are studied, including the minimum distance between leaders and followers, the shopping duration and its randomness, the time interval for a new pedestrian to appear, and the size of pedestrian groups. Compared with the other factors, shopping duration is the most critical factor. Therefore, measures to shorten shopping duration should be taken to improve queuing efficiency.

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