Effect of uncertain information on pedestrian dynamics under adverse sight conditions

Abstract Pedestrian dynamics under adverse sight conditions is a difficult point in the field of pedestrian flow. In this paper, an extended cellular automata model is proposed to simulate pedestrian evacuation under adverse sight conditions by considering the effect of uncertain information, in which, the concept of “memory angle” is introduced to quantitatively reflect the accuracy of the evacuation information. The numerical simulations are performed to investigate the effect of the position distribution, the numbers of the memory points and the range of the view field for memory angle on the evacuation process in the room. And the spatiotemporal dynamic characteristics during the evacuation process are also discussed. The results show that the reasonable position distribution of memory points can obviously improve the evacuation efficiency and avoid the crowd caused by the pedestrian flow crash. The pedestrian evacuation efficiency is highest when the more evacuation information near the exit is obtained. In addition, when view field is poor, the accuracy of evacuation information has a significant influence on evacuation time.

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