Pedestrian lane formation with following–overtaking model and measurement of system order  

作　　者：李碧璐 李政 周睿 申世飞 Bi-Lu Li;Zheng Li;Rui Zhou;Shi-Fei Shen(Department of Engineering Physics,Tsinghua University,Beijing 100084,China;School of Safety Science,Tsinghua University,Beijing 100084,China)

机构地区：[1]Department of Engineering Physics,Tsinghua University,Beijing 100084,China [2]School of Safety Science,Tsinghua University,Beijing 100084,China

出　　处：《Chinese Physics B》2024年第2期247-263,共17页中国物理B（英文版）

基　　金：Project supported by the National Natural Science Foundation of China(Grant No.71603146).

摘　　要：Pedestrian self-organizing movement plays a significant role in evacuation studies and architectural design.Lane formation,a typical self-organizing phenomenon,helps pedestrian system to become more orderly,the majority of following behavior model and overtaking behavior model are imprecise and unrealistic compared with pedestrian movement in the real world.In this study,a pedestrian dynamic model considering detailed modelling of the following behavior and overtaking behavior is constructed,and a method of measuring the lane formation and pedestrian system order based on information entropy is proposed.Simulation and analysis demonstrate that the following and avoidance behaviors are important factors of lane formation.A high tendency of following results in good lane formation.Both non-selective following behavior and aggressive overtaking behavior cause the system order to decrease.The most orderly following strategy for a pedestrian is to overtake the former pedestrian whose speed is lower than approximately 70%of his own.The influence of the obstacle layout on pedestrian lane and egress efficiency is also studied with this model.The presence of a small obstacle does not obstruct the walking of pedestrians;in contrast,it may help to improve the egress efficiency by guiding the pedestrian flow and mitigating the reduction of pedestrian system orderliness.

关 键 词：pedestrian movement lane formation information entropy order degree 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术] O35[自动化与计算机技术—计算机科学与技术] U491.226[理学—流体力学]