Title :
Analysis and intervention in pedestrian evacuation via a modified social force model
Author :
Lei Cao ; Lin Wang
Author_Institution :
Dept. of Autom., Shanghai Jiao Tong Univ., Shanghai, China
Abstract :
The evacuation of pedestrians is of great importance for pedestrian traffic management and facility design. In this paper, we modify the classical social force model to simulate pedestrian evacuation. In the case that pedestrians evacuate from a single-exit room with full vision, the phenomenon of “faster is slower” is reproduced. In the case that pedestrians evacuate from a double-exit hall with limited vision, we find that following the wall is always a better strategy, and that it is better to take crowd density into account when considering whether to follow others. Furthermore, we intervene in the crowd panic by deploying information sources.
Keywords :
emergency management; pedestrians; social sciences; crowd density; crowd panic intervention; facility design; faster-is-slower phenomenon; information sources; modified social force model; pedestrian evacuation; pedestrian traffic management; Adaptation models; Bismuth; Dynamics; Force; Nickel; Radiation detectors; Vehicle dynamics; Evacuation; Intervention; Pedestrian dynamics; Social force model;
Conference_Titel :
Control and Decision Conference (CCDC), 2015 27th Chinese
Conference_Location :
Qingdao
Print_ISBN :
978-1-4799-7016-2
DOI :
10.1109/CCDC.2015.7161870