Entropy-Based Crowd Evacuation Modeling With Seeking Behavior of Social Groups
| Autor: | Xiaowei Chen, Jian Wang |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
General Computer Science
Operations research ComputingMethodologies_SIMULATIONANDMODELING Computer science Population 02 engineering and technology 01 natural sciences 010305 fluids & plasmas Social group 0103 physical sciences 0202 electrical engineering electronic engineering information engineering Entropy (information theory) General Materials Science Boltzmann's entropy formula education social groups Flexibility (engineering) education.field_of_study Boltzmann entropy General Engineering seeking behavior Crowd evacuation 020201 artificial intelligence & image processing lcsh:Electrical engineering. Electronics. Nuclear engineering lcsh:TK1-9971 |
| Zdroj: | IEEE Access, Vol 9, Pp 4653-4664 (2021) |
| ISSN: | 2169-3536 |
| DOI: | 10.1109/access.2020.3048054 |
| Popis: | Emergency crowd evacuation, especially in congested indoor scenes, is an important issue in public areas' daily management. Computer simulation is a widely adopted technique to study crowd evacuations and help design reasonable emergence plans due to its flexibility, convenience, and cost-effectiveness. In this paper, we propose ECEM, a novel evacuation model based on agent simulation. In ECEM, we consider a special individual behavior in the evacuation, called seeking behavior, which happens when relatives or friends (i.e., social groups) are in the crowd, and the members within a group may tend to seek each other once separated instead of evacuating alone. Moreover, we incorporate the crowd chaos based on Boltzmann entropy (i.e., crowd entropy) into ECEM to measure the evacuating population's disorder level and present an adaptive velocity smoothing method using crowd entropy for updating individual's velocity. Extensive simulation results demonstrate the effectiveness of ECEM and provide several insights on designing the evacuation strategies. |
| Databáze: | OpenAIRE |
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