Simulation model of self-organizing pedestrian movement considering following behavior  被引量:9

Simulation model of self-organizing pedestrian movement considering following behavior

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作  者:Zhilu YUAN Hongfei JIA Mingjun LIAO Linfeng ZHANG Yixiong FENG Guangdong TIAN 

机构地区:[1]School of Transportation, Jilin University, Changchun 130012, China [2]Department of Civil Engineering, Beihua University, Jilin 132013, China [3]The State Key Lab of Fluid Power Transmission and Control, Zhejiang University, Hangzhou 310027, China

出  处:《Frontiers of Information Technology & Electronic Engineering》2017年第8期1142-1150,共9页信息与电子工程前沿(英文版)

基  金:Project supported by the National Natural Science Foundation of China (Nos. 51278221 and 51378076), the Chinese Postdoc- toral Science Foundation (Nos. 2015M571369 and 2012M511343), and Jilin Science and Technology Development Program, China (Nos. 20140204027SF and 20170101155JC)

摘  要:A new force is introduced in the social force model (SFM) for computing following behavior in pedestrian counterflow, whereby an individual tries to approach others in the same direction to avoid conflicts with pedestrians from the opposite direction. The force, like a kind of gravitation, is modeled based on the movement state and visual field of the pedestrian, and is added to the classical SFM. The modified model is presented to study the impact of following behavior on the process of lane formation, the conflict, the number of lanes formed, and the traffic efficiency in the simulations. Simulation results show that the following behavior has a significant effect on the phenomenon of lane formation and the traffic efficiency.在本文中一种新的力学模型被引入到社会力模型中,用来仿真相向行人流中的跟随行为。这种跟随行为指的是行人通过接近同向行人以避免与反向行人冲突的行为。新的力学模型类似于一种引力模型,在建模过程中考虑了行人的视野范围、自身的运动状态、被跟随行人的运动状态等因素。我们利用新的力学模型对相向行人流进行了仿真,研究了跟随行为对渠化现象、行人间冲突以及双向通道通行效率的影响。仿真结果表明:跟随行为能促进渠化现象形成,并能起到缓解相向行人流拥堵的作用;跟随行为具有降低相向行人流冲突次数的作用,这种作用在入口流量较低时并不明显,但随着行人流量的升高而增强。跟随行为能够提高双向通道的通行效率,并且跟随行为的强度参数越大通道的通行效率越高。

关 键 词:GRAVITATION Pedestrian counterflow Social force model (SFM) Lane formation SELF-ORGANIZING 

分 类 号:TP391.9[自动化与计算机技术—计算机应用技术] U698.2[自动化与计算机技术—计算机科学与技术]

 

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