Abstract: In order to improve accuracy and efficiency of pedestrian movement simulation in subway station, pedestrian repulsion in social force model, attractiveness of exit and obstacle repulsions were introduced to improve environment of CA model and a combined evacuation simulation model was proposed. Then, moving residual calculation was adopted to improve cell movement rules in grids. Finally, pedestrian evacuation path decision parameters (including static fields of attractiveness, obstacle repulsion fields, and force field coupling parameters) were calibrated through simulation experiments. The results show that the proposed model can describe pedestrian movement law in case of evacuations more truthfully by simulating pedestrian flow under influences of obstacles and other pedestrians based on different speed, thus improving safety decision making of urban rail transit operations.

Key words: urban rail transit, pedestrian evacuation simulation, cellular automaton(CA)model, social force model, moving residual