期刊
NEUROCOMPUTING
卷 168, 期 -, 页码 529-537出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.neucom.2015.05.074
关键词
Crowd simulation; Evacuation; Mutual Information; Social Force Model
资金
- National Natural Science Foundation of China (NSFC) [61202207, 61472370]
- China Post-doctoral Science Foundation [2012M520067, 2013T60706]
- National Key Technology Research and Development Program of China [2013BAH23F01]
- Research Fund for the Doctoral Program of Higher Education of China [20124101120005]
In this paper we propose a novel technique termed miSFM for the simulation of crowd evacuation. miSFM take merits of both Mutual Information (MI) and Social Force Model (SFM). More specifically, MI of interacting agents is adopted to determine the level of order within a crowd during an evacuation. In such a way, SFM can be improved by adapting the forces involved at microscopic level between mutually interacting agents. The key innovation lies in highlighting how the dynamic adjustment of SFM parameters reveals much more realistic crowd movements for the evacuation simulation. Extensive experiments over several alternative and state-of-the-art works demonstrate the advantages of the proposed algorithm. (C) 2015 Elsevier B.V. All rights reserved.
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