Social Force Model-Based Group Behavior Simulation in Virtual Geographic Environments

作者:Huang, L (Huang, Lin)[ 1,2 ] ; Gong, JH (Gong, Jianhua)[ 1,3 ] ; Li, WH (Li, Wenhang)[ 1 ] ; Xu, T (Xu, Tao)[ 4 ] ; Shen, S (Shen, Shen)[ 1,2 ] ; Liang, JM (Liang, Jianming)[ 5 ] ; Feng, QL (Feng, Quanlong)[ 6 ] ; Zhang, D (Zhang, Dong)[ 1,7 ] ; Sun, J (Sun, Jun)[ 1,3 ]

ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION

卷: 7  期: 2

文獻(xiàn)號(hào): 79

DOI: 10.3390/ijgi7020079

出版年: FEB 2018

文獻(xiàn)類型:Article

摘要

Virtual geographic environments (VGEs) are extensively used to explore the relationship between humans and environments. Crowd simulation provides a method for VGEs to represent crowd behaviors that are observed in the real world. The social force model (SFM) can simulate interactions among individuals, but it has not sufficiently accounted for inter-group and intra-group behaviors which are important components of crowd dynamics. We present the social group force model (SGFM), based on an extended SFM, to simulate group behaviors in VGEs with focuses on the avoiding behaviors among different social groups and the coordinate behaviors among subgroups that belong to one social group. In our model, psychological repulsions between social groups make them avoid with the whole group and group members can stick together as much as possible; while social groups are separated into several subgroups, the rear subgroups try to catch up and keep the whole group cohesive. We compare the simulation results of the SGFM with the extended SFM and the phenomena in videos. Then we discuss the function of Virtual Reality (VR) in crowd simulation visualization. The results indicate that the SGFM can enhance social group behaviors in crowd dynamics.

通訊作者地址: Gong, JH (通訊作者)

Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100012, Peoples R China.

通訊作者地址: Gong, JH (通訊作者)

Zhejiang CAS Applicat Ctr Geoinformat, Jiaxing 314199, Peoples R China.

地址:

[ 1 ] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100012, Peoples R China

[ 2 ] Univ Chinese Acad Sci, Beijing 100049, Peoples R China

[ 3 ] Zhejiang CAS Applicat Ctr Geoinformat, Jiaxing 314199, Peoples R China

[ 4 ] China Elect Technol Grp Corp, Informat Sci Acad, Beijing 100081, Peoples R China

[ 5 ] Arizona State Univ, Sch Life Sci, Tempe, AZ 85287 USA

[ 6 ] Beijing Deepwise Sci & Technol Co Ltd, Beijing 100080, Peoples R China

[ 7 ] Tianjin Chengjian Univ, Sch Geol & Geomat, Tianjin 300384, Peoples R China