Adaptive Crowd Evacuation Simulation Model Based on Bounded Rationality Constraints

doi:10.16182/j.issn1004731x.joss.21-0472

Abstract

Abstract:

To effectively improve the accuracy of evacuation simulation of a crowded environment, an adaptive crowd evacuation simulation model based on social force model and bounded rationality constraints is proposed. The desired direction and desired speed of the self-driving force that affects the pedestrian movement in the traditional social force model is improved. The adaptive calculation is used in the optimization of direction and speed of pedestrian in an obstacle avoidance situation. The rational route decision mechanism is proposed to describe the route selection behavior of pedestrians in a congested state more accurately. The results show that the proposed model is feasible and effective, in which the crowd evacuation process is more consistent with the real situation, and the bounded rationality constraints of pedestrians shows advantages in the high crowd density environment.

Key words: crowd evacuation simulation, social force model, adaptive calculation, bounded rationality constraints, path selection

CLC Number:

TP391.9

Liqiang Zhao, Mengqian Guo, Shuixiong Tang, Jinjin Tang. Adaptive Crowd Evacuation Simulation Model Based on Bounded Rationality Constraints[J]. Journal of System Simulation, 2022, 34(10): 2162-2170.

Figures/Tables 8

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