详细信息
Shadow obstacle model for realistic corner-turning behavior in crowd simulation ( SCI-EXPANDED收录 EI收录)
文献类型:期刊文献
英文题名:Shadow obstacle model for realistic corner-turning behavior in crowd simulation
作者:He, Gao-qi[1,2,3];Jin, Yi[1];Chen, Qi[1];Liu, Zhen[4];Yue, Wen-hui[2];Lu, Xing-jian[1]
机构:[1]E China Univ Sci & Technol, Dept Comp Sci & Engn, Shanghai 200237, Peoples R China;[2]E China Normal Univ, MOE, Key Lab Geog Informat Sci, Shanghai 200241, Peoples R China;[3]Beihang Univ, State Key Lab Virtual Real Technol & Syst, Beijing 100191, Peoples R China;[4]Ningbo Univ, Coll Informat Sci & Technol, Ningbo 315211, Zhejiang, Peoples R China
年份:2016
卷号:17
期号:3
起止页码:200
外文期刊名:FRONTIERS OF INFORMATION TECHNOLOGY & ELECTRONIC ENGINEERING
收录:;EI(收录号:20161102106925);WOS:【SCI-EXPANDED(收录号:WOS:000372254100002)】;
基金:Project supported by the National Natural Science Foundation of China (Nos. 61170318 and 61300133), the Open Research Funding Program of Key Laboratory of Geographic Information Science, China (No. KLGIS2015A05), the Fundamental Research Funds for the Central Universities, China (No. 222201514331), and the Opening Project of Shanghai Key Laboratory of New Drug Design, China (No. 14DZ2272500)
语种:英文
外文关键词:Corner-turning behavior; Crowd simulation; Safety awareness; Rule-based model
摘要:This paper describes a novel model known as the shadow obstacle model to generate a realistic corner-turning behavior in crowd simulation. The motivation for this model comes from the observation that people tend to choose a safer route rather than a shorter one when turning a corner. To calculate a safer route, an optimization method is proposed to generate the corner-turning rule that maximizes the viewing range for the agents. By combining psychological and physical forces together, a full crowd simulation framework is established to provide a more realistic crowd simulation. We demonstrate that our model produces a more realistic corner-turning behavior by comparison with real data obtained from the experiments. Finally, we perform parameter analysis to show the believability of our model through a series of experiments.
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