4.6 Article

miSFM: On combination of Mutual Information and Social Force Model towards simulating crowd evacuation

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

  1. National Natural Science Foundation of China (NSFC) [61202207, 61472370]
  2. China Post-doctoral Science Foundation [2012M520067, 2013T60706]
  3. National Key Technology Research and Development Program of China [2013BAH23F01]
  4. Research Fund for the Doctoral Program of Higher Education of China [20124101120005]

向作者/读者索取更多资源

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.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据