This paper proposes an Improved Social Force Model (ISFM) considering the pedestrian and obstacle neighborhoods to simulate the micro-behavior of pedestrians in different scenes. Specially, the proposed model also considers different view angle sensitivities of one pedestrian to other obstacles and pedestrians. A simulation algorithm is proposed for the ISFM, which reduces the algorithm's complexity from polynomial complexity to linear complexity of pedestrian amount. Finally, a complex scene of metro passengers alighting and boarding the train is implemented to demonstrate the performance and efficiency of the ISFM. The result shows that the proposed algorithm improves the simulation efficiency while maintaining the accuracy of the original model.


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    Titel :

    An Improved Social Force Model Considering View Angle for Microscopic Pedestrian Simulation


    Beteiligte:
    An, Wenyao (Autor:in) / Chen, Shuiwang (Autor:in) / Li, Yan (Autor:in) / Peng, Kai (Autor:in) / Hu, Lu (Autor:in)


    Erscheinungsdatum :

    2021-10-22


    Format / Umfang :

    3510570 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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