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

Authors :
Huang, Lin
Gong, Jianhua
Li, Wenhang
Xu, Tao
Shen, Shen
Liang, Jianming
Feng, Quanlong
Zhang, Dong
Sun, Jun
Source :
ISPRS International Journal of Geo-Information. Feb2018, Vol. 7 Issue 2, p79. 20p.
Publication Year :
2018

Abstract

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
22209964
Volume :
7
Issue :
2
Database :
Academic Search Index
Journal :
ISPRS International Journal of Geo-Information
Publication Type :
Academic Journal
Accession number :
128265574
Full Text :
https://doi.org/10.3390/ijgi7020079