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Magnetic Force Model Approach with Path Finding Feature for an Improved Crowd Movement Simulation
- Source :
- Communications in Computer and Information Science ISBN: 9789811064623
- Publication Year :
- 2017
- Publisher :
- Springer Singapore, 2017.
-
Abstract
- Crowd model has been very important in the investigation and study of the dynamics of a crowd. Crowd analysis using simulation models such as the Social Force Model (SFM) in representing crowd dynamics is instrumental in this study where experiments with real humans are not practical. However, the SFM lacks features that can represent more detailed individual characteristics and realistic movement when dealing with multi-room environment. Therefore, in this paper, we propose some modifications to the original SFM with a magnetic model approach that also integrates a path finding feature to produce a more realistic simulation of individuals’ movements in the crowd. Results show that common collective crowd behaviours have been produced by the modified crowd model in a multi-room environment.
- Subjects :
- Crowd dynamics
business.industry
Movement (music)
Computer science
Crowd analysis
Simulation modeling
Machine learning
computer.software_genre
01 natural sciences
010305 fluids & plasmas
Feature (computer vision)
Data_GENERAL
0103 physical sciences
Path (graph theory)
Social force model
Artificial intelligence
010306 general physics
business
computer
Subjects
Details
- ISBN :
- 978-981-10-6462-3
- ISBNs :
- 9789811064623
- Database :
- OpenAIRE
- Journal :
- Communications in Computer and Information Science ISBN: 9789811064623
- Accession number :
- edsair.doi...........877e61818dcc6fc058b8e0e262065fef
- Full Text :
- https://doi.org/10.1007/978-981-10-6463-0_14