基于有限理性约束的自适应人群疏散仿真模型

为有效提高人群拥堵时的疏散模拟精度，基于社会力模型和有限理性约束，提出一种自适应人群疏散仿真模型。该模型改进了传统社会力模型中行人自驱动力的期望方向和期望速度，对避障情况下行人的最优运动方向和速度进行自适应计算，同时引入有限理性路径决策机制，更为准确地描述行人在拥堵状态下的路径选择行为。结果表明：所提出的模型是可行有效的，行人的有限理性约束在人群密度较大的时候表现出疏散优势，更加符合真实情况下的人群疏散过程。

Adaptive Crowd Evacuation Simulation Model Based on Bounded Rationality Constraints

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.