Abstract
With the rapid development of society around the world, the population of cities such as Beijing and Shanghai has increased dramatically, and large social activities have been increasing. Safeguarding the legitimate rights and interests of citizens and strengthening public safety is one of the most important problems. Therefore, it is a very important research topic to study the aggregation phenomenon and the evacuation characteristics of the public places, to explore the reasonable group organization and evacuation mode, and to find ways and means to reduce the risk of accidents. When a sudden event occurs in a public place, the crowd is evacuated using the particle swarm algorithm. In addition, the shortcomings of the traditional particle swarm optimization are improved, and the influence of obstacle on individual evacuation path selection is fully considered. Finally, the thermodynamic diagram is used to simulate the model, and the feasibility of the model is verified.
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Acknowledgements
This research reported herein was supported by the NSFC of China under Grant No. 71571091.
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Li, D., Chen, X., Sun, Q. (2018). The Study of Population Evacuation Problems. In: Arezes, P. (eds) Advances in Safety Management and Human Factors. AHFE 2017. Advances in Intelligent Systems and Computing, vol 604. Springer, Cham. https://doi.org/10.1007/978-3-319-60525-8_64
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DOI: https://doi.org/10.1007/978-3-319-60525-8_64
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