{"title":"整合人工智能技术，提高火灾时人员疏散的效率","authors":"Grigoriy Mel'nikov, Sergey Tursenev","doi":"10.61260/2307-7476-2024-2023-4-30-36","DOIUrl":null,"url":null,"abstract":"The application of artificial intelligence technology to improve the evacuation control system at fires is considered. The focus is on the shortcomings of traditional evacuation methods and the potential of artificial intelligence in big data processing to optimize the flow of people. \nThe integration of artificial intelligence algorithms with models of human behavior to develop more effective evacuation scenarios that take into account the psychological and physiological aspects of human behavior in emergency situations is discussed.","PeriodicalId":477082,"journal":{"name":"NATURAL AND MAN-MADE RISKS (PHYSICO-MATHEMATICAL AND APPLIED ASPECTS)","volume":"558 ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"INTEGRATION OF ARTIFICIAL INTELLIGENCE TECHNOLOGY TO IMPROVE THE EFFICIENCY OF EVACUATION OF PEOPLE IN CASE OF FIRE\",\"authors\":\"Grigoriy Mel'nikov, Sergey Tursenev\",\"doi\":\"10.61260/2307-7476-2024-2023-4-30-36\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The application of artificial intelligence technology to improve the evacuation control system at fires is considered. The focus is on the shortcomings of traditional evacuation methods and the potential of artificial intelligence in big data processing to optimize the flow of people. \\nThe integration of artificial intelligence algorithms with models of human behavior to develop more effective evacuation scenarios that take into account the psychological and physiological aspects of human behavior in emergency situations is discussed.\",\"PeriodicalId\":477082,\"journal\":{\"name\":\"NATURAL AND MAN-MADE RISKS (PHYSICO-MATHEMATICAL AND APPLIED ASPECTS)\",\"volume\":\"558 \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-02-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"NATURAL AND MAN-MADE RISKS (PHYSICO-MATHEMATICAL AND APPLIED ASPECTS)\",\"FirstCategoryId\":\"0\",\"ListUrlMain\":\"https://doi.org/10.61260/2307-7476-2024-2023-4-30-36\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"NATURAL AND MAN-MADE RISKS (PHYSICO-MATHEMATICAL AND APPLIED ASPECTS)","FirstCategoryId":"0","ListUrlMain":"https://doi.org/10.61260/2307-7476-2024-2023-4-30-36","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
INTEGRATION OF ARTIFICIAL INTELLIGENCE TECHNOLOGY TO IMPROVE THE EFFICIENCY OF EVACUATION OF PEOPLE IN CASE OF FIRE
The application of artificial intelligence technology to improve the evacuation control system at fires is considered. The focus is on the shortcomings of traditional evacuation methods and the potential of artificial intelligence in big data processing to optimize the flow of people.
The integration of artificial intelligence algorithms with models of human behavior to develop more effective evacuation scenarios that take into account the psychological and physiological aspects of human behavior in emergency situations is discussed.
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