成都大学学报(自然科学版)

为了描述行人在多属性参数下的疏散行为，结合元胞自动机和弹性参数，提出一种新的行人疏散模型.在考虑出口吸引概率的基础上，通过计算行人移动代价判定行人下一步移动目标位置.使用Python语言进行建模，并对疏散过程进行仿真分析.仿真结果表明，在影响出口吸引概率的参数中，行人到出口的距离为主要影响因素，占58.76%,而人流量为次要影响因素，占41.24%.以一般情况下的疏散效率为基准，适当增加女性占比，可使疏散效率提高6.86%.另外，增加平均体质量与拥挤度可使疏散效率分别降低4.12%和8.34%.

In order to describe the evacuation behavior of pedestrians under multi-attribute parameters, by combining cellular automata and elasticity parameters, a new pedestrian evacuation model is proposed.Based on the exit attraction probability, the next moving target position of pedestrians is determined by calculating the pedestrian moving cost value.This paper uses Python for modelling, and does simulation analysis of the evacuation process.The simulation results show that among the parameters affecting the exit attraction probability, the distance to the exit is the major effect factor, accounting for 58.76%,and pedestrian volume is the secondary influencing factor, accounting for 41.24%.Based on the general evacuation efficiency, the evacuation efficiency can be improved by 6.86% by appropriately increasing the percentage of women.In addition, the evacuation efficiency decreases by 4.12% and 8.34% respectively by increasing average weight and crowding degree.