Literature DB >> 32013507

Improved social force model considering conflict avoidance.

Qiaoru Li1, Ying Liu1, Zengxin Kang2, Kun Li1, Liang Chen1.   

Abstract

The social force model (SFM) can be applied to characterize pedestrian dynamics in normal scenarios. However, its model of interactions among pedestrians deviates from actual scenarios to some extent. Thus, we propose an improved SFM where pedestrians consider avoiding potential conflicts in advance during the walking process. Meanwhile, the response range of potential conflicts is related to the response time and relative velocity vector. Simulation results demonstrate that the conflict avoidance force plays an important role in guiding pedestrian dynamics. Conflict avoidance makes pedestrian trajectories smoother and more realistic. Moreover, for high pedestrian density (without congestion), moderate values of response time may exist, resulting in the minimum evacuation efficiency. We hope to provide some insights into how to better model interactions among pedestrians during normal evacuation.

Year:  2020        PMID: 32013507     DOI: 10.1063/1.5132945

Source DB:  PubMed          Journal:  Chaos        ISSN: 1054-1500            Impact factor:   3.642


  1 in total

1.  Experimental and modelling studies of collision avoidance strategy choices and behavioural characteristics in interweaving pedestrian flow.

Authors:  Qiu Yun Luan; Shao Bo Liu; Zhi Jian Fu; Jie Yin Lyu
Journal:  R Soc Open Sci       Date:  2022-07-13       Impact factor: 3.653

  1 in total

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