Journal of System Simulation
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.
Recommended Citation
Zhao, Liqiang; Guo, Mengqian; Tang, Shuixiong; and Tang, Jinjin
(2022)
"Adaptive Crowd Evacuation Simulation Model Based on Bounded Rationality Constraints,"
Journal of System Simulation: Vol. 34:
Iss.
10, Article 6.
DOI: 10.16182/j.issn1004731x.joss.21-0472
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol34/iss10/6
First Page
2162
Revised Date
2021-09-05
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.21-0472
Last Page
2170
CLC
TP391.9
Recommended Citation
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.
DOI
10.16182/j.issn1004731x.joss.21-0472
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