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An intelligent campus simulation system based on game

  • Autores: Zhou Zhang, Liu Lai Kai, Wang Xi, Qiaoqiao Liang
  • Localización: Applied Mathematics and Nonlinear Sciences, ISSN-e 2444-8656, Vol. 7, Nº. 2, 2022, págs. 1169-1180
  • Idioma: inglés
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  • Resumen
    • As a densely populated place, the occurrence of accidents on campus causes serious concerns, while the construction of anintelligent and safe campus is also one of the hotly debated topics. Starting from the perspective of the development processof security events, this paper comprehensively perfects each stage and applies reasonable methods, hoping to reduce thecost of human and material resources in campus security. First, the abnormal behaviour data set and the identification modelbased on time and space fusion are constructed to identify the abnormal behaviours on campus. Further on, through theagent reward function construction and state transfer function solution and algorithm research, the multi-intelligent-agenttracking and cooperation based on the game idea are realised to provide efficient real-time security alarm and decisionsuggestion. Finally, the safety resource path planning platform is designed, and the simulation analysis is conductedcombined with the traffic network of New Normal University. The results turn out to identify the abnormal behaviour, workout the optimal decision as well as figure out the optimal path of security resources planning and verify the effectivenessof the mathematical model in a simulation manner.


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