The impact of potential crowd behaviours on emergency evacuation: an evolutionary game theoretic approach
Crowd dynamics have important applications in evacuation management systems relevant to organizing safer large scale gatherings. For crowd safety, it is very important to study the evolution of potential crowd behaviours by simulating the crowd evacuation process. Planning crowd control tasks by s...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English English English |
| Published: |
European Social Simulation Association
2019
|
| Subjects: | |
| Online Access: | http://irep.iium.edu.my/69305/ http://irep.iium.edu.my/69305/ http://irep.iium.edu.my/69305/ http://irep.iium.edu.my/69305/7/69305%20The%20Impact%20of%20Potential%20Crowd%20Behaviours.pdf http://irep.iium.edu.my/69305/13/69305_The%20impact%20of%20potential%20crowd%20behaviours_WOS.pdf http://irep.iium.edu.my/69305/19/69305_The%20impact%20of%20potential%20crowd%20behaviour_scopus.pdf |
| Summary: | Crowd dynamics have important applications in evacuation management systems relevant to organizing
safer large scale gatherings. For crowd safety, it is very important to study the evolution of potential
crowd behaviours by simulating the crowd evacuation process. Planning crowd control tasks by studying the
impact of crowd behaviour evolution towards evacuation could mitigate the possibility of crowd disasters. During
a typical emergency evacuation scenario, conflict among agents occurs when agents intend to move to the
same location as a result of the interaction with their nearest neighbours. The e�ect of the agent response
towards their neighbourhood is vital in order to understand the e�ect of variation of crowd behaviour on the
whole environment. In this work, we model crowd motion subject to exit congestion under uncertainty conditions
in a continuous space via computer simulations. We model best-response, risk-seeking, risk-averse and
risk-neutral behaviours of agents via certain game theoretic notions. We perform computer simulations with
heterogeneous populations in order to study the e�ect of the evolution of agent behaviours towards egress
flow under threat conditions. Our simulation results show the relation between the local crowd pressure and
the number of injured agents. We observe that when the proportion of agents in a population of risk-seeking
agents is increased, the average crowd pressure, average local density and the number of injured agents increases.
Besides that, based on our simulation results, we can infer that crowd disasters could be prevented if
the agent population consists entirely of risk-averse and risk-neutral agents despite circumstances that lead to
threats. |
|---|