School of Civil and Transportation Engineering, Hebei University of Technology, Tianjin 300401, China.
School of Artificial Intelligence, Hebei University of Technology, Tianjin 300130, China.
Chaos. 2020 Jan;30(1):013129. doi: 10.1063/1.5132945.
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.
社会力模型(SFM)可用于描述正常场景下的行人动态。然而,其行人之间的相互作用模型在某种程度上偏离了实际场景。因此,我们提出了一种改进的 SFM,其中行人在行走过程中提前考虑避免潜在冲突。同时,潜在冲突的响应范围与响应时间和相对速度矢量有关。仿真结果表明,冲突避免力在指导行人动态方面起着重要作用。冲突避免使行人轨迹更加平滑和真实。此外,对于高行人密度(无拥堵),可能存在适中的响应时间值,从而导致最小的疏散效率。我们希望为如何更好地在正常疏散过程中对行人之间的相互作用进行建模提供一些见解。