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A CPS-Aware Crowd Evacuation Simulation

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Abstract

To effectively carry out disaster prevention and mitigation, it is essential to study the special disaster risk system. When unexpected events occur in disaster cases with large-scale crowd, crowd evacuation is particularly important. Research on safety evacuation of large-scale crowd has been lasted for a long time. However, current simulation models focus on a closed simulation environment. That means the simulations cannot receive information and data from surroundings. Nevertheless, in real life, with the development of IoT and CPS, the crowd simulations need to dynamically adjust and correct their simulation steps, according to inputting data from sensors or analyzed information. Therefore, in this study, a novel CPS-aware crowd simulation framework is proposed. The framework can help simulation system to conduct and correct “better” results. The framework mainly consists of two components: (1) the simulation mode and (2) the feedback mode. The experimental results show that we can get better evacuation paths with our crowd simulation framework.

Keywords

Crowd simulation CPS Trajectory clustering 

Notes

Acknowledgements

This paper was supported in part by the National Natural Science Foundation of China (No. U1711266) and the China Postdoctoral Science Foundation (2014M552112).

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Ze Deng
    • 1
    • 2
  1. 1.School of Computer ScienceChina University of GeosciencesWuhanP.R. China
  2. 2.Hubei Key Laboratory of Intelligent Geo-Information Processing, China University of Geosciences (Wuhan)WuhanP.R. China

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