Title :
A Hybrid Simulation of Large Crowd Evacuation
Author :
Wei, Xing ; Xiong, Muzhou ; Zhang, Xuguang ; Chen, Dan
Author_Institution :
Inst. of Electr. Eng., Yanshan Univ., Qinhuangdao, China
Abstract :
A Grid simulation infrastructure can facilitate a simulation comprising models of different grains and/or models of various types in nature to investigate large and complicated problems. On top of the infrastructure, a simulation of evacuating thousands of pedestrians in a large urban area has been constructed. A number of agent-based and computational models residing at two administrative domains operate together, which successfully presents the dynamics of the complex scenario at scales of both individual and crowd levels. Experimental results indicate that the proposed approach can effectively cope with the size and complexity of a scenario involving a large crowd.
Keywords :
behavioural sciences computing; digital simulation; grid computing; traffic engineering computing; agent-based models; computational models; grid simulation infrastructure; hybrid simulation; large crowd evacuation; pedestrian evacuation; Assembly; Biological system modeling; Computational modeling; Data models; Educational institutions; Roads; Vehicles; Complex Systems; Crowd Modelling & Grid Computing; Simulation;
Conference_Titel :
Parallel and Distributed Systems (ICPADS), 2011 IEEE 17th International Conference on
Conference_Location :
Tainan
Print_ISBN :
978-1-4577-1875-5
DOI :
10.1109/ICPADS.2011.6