DocumentCode :
690242
Title :
Emergency evacuation in subway station based on Combined Social Force Model
Author :
Wan Jiahui ; Sui Jie
Author_Institution :
Coll. of Eng. & Inf. Technol., Univ. of Chinese Acad. of Sci., Beijing, China
fYear :
2013
fDate :
15-17 Nov. 2013
Firstpage :
242
Lastpage :
245
Abstract :
With increasing occurrence of large-scale and half-closed traffic hubs like subway stations, more and more attention has been paid to emergency evacuation inside them. Based on Social Force Model, add a gas dispersion model into simulation environment. A Combined Social Force Model was built which is suitable to a real situation where there is a sudden toxic gas event. The improved evacuation model optimizes primary Social Force Model by taking into account the cohesion among passengers and the nervousness factor in emergency. The model integrates Gaussian Puff Model and can reflect the process of evacuation accurately. At last a corresponding simulation experiment was conducted and emphasizes the importance of gas positions and detecting emergency in time to efficient evacuation.
Keywords :
Gaussian processes; emergency management; optimisation; rail traffic; railways; social sciences; transportation; Gaussian puff model; combined social force model; emergency evacuation; gas dispersion model; half-closed traffic hubs; large-scale traffic hubs; nervousness factor; subway stations; Force; RNA; emergency evacuation; gas dispersion; simulation; social force;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electronics Information and Emergency Communication (ICEIEC), 2013 IEEE 4th International Conference on
Conference_Location :
Beijing
Type :
conf
DOI :
10.1109/ICEIEC.2013.6835497
Filename :
6835497
Link To Document :
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