关键词: 行人疏散, 布局优化, 社会力模型, 遗传算法

Abstract:

Establishing a two-layer optimization framework based on genetic algorithm and pedestrian simulation model, a single-chamber dual-exit scene is selected, in which two exits located on the same side, on the adjacent sides, and on the opposite sides are set as three typical layouts. Then three types of body size, three conditions of initial crowd density, and nine kinds of evacuation exits’ widths are used to construct 243 numerical experimental scenarios, and the optimized exit layouts which are most beneficial for pedestrian evacuation are obtained respectively. It finds that the evacuation exit width is positively related to the evacuation efficiency, and the pedestrian radius as well as initial crowd density is negatively related to the evacuation efficiency. Moreover, the key parameters that affect the evacuation efficiency are different in varied layouts.

Key words: pedestrian evacuation, layout optimization, social force model, genetic algorithm