{"title":"采用模糊故障树分析法和小尺度模型确定交通节点可靠性","authors":"Ilona Tompa, P. Bakucz, Kiss Gabor","doi":"10.1109/CINTI-MACRo57952.2022.10029575","DOIUrl":null,"url":null,"abstract":"In this paper, we outline the analysis of a traffic node’s safety using a fuzzy fault tree method and a small-scaled model to gain information on the reliability of the node. The reliability of the dynamics of the node is determined by using the fuzzy FTA optimized minimal cut set procedure in a planned, small-scaled real environment, which requires testing the procedure in real-time and in an embedded environment. The optimization is based on percolation theory.","PeriodicalId":18535,"journal":{"name":"Micro","volume":"29 1","pages":"000411-000418"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Determining traffic node reliability by fuzzy fault tree analysis and small scaled model\",\"authors\":\"Ilona Tompa, P. Bakucz, Kiss Gabor\",\"doi\":\"10.1109/CINTI-MACRo57952.2022.10029575\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we outline the analysis of a traffic node’s safety using a fuzzy fault tree method and a small-scaled model to gain information on the reliability of the node. The reliability of the dynamics of the node is determined by using the fuzzy FTA optimized minimal cut set procedure in a planned, small-scaled real environment, which requires testing the procedure in real-time and in an embedded environment. The optimization is based on percolation theory.\",\"PeriodicalId\":18535,\"journal\":{\"name\":\"Micro\",\"volume\":\"29 1\",\"pages\":\"000411-000418\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-11-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Micro\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CINTI-MACRo57952.2022.10029575\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Micro","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CINTI-MACRo57952.2022.10029575","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Determining traffic node reliability by fuzzy fault tree analysis and small scaled model
In this paper, we outline the analysis of a traffic node’s safety using a fuzzy fault tree method and a small-scaled model to gain information on the reliability of the node. The reliability of the dynamics of the node is determined by using the fuzzy FTA optimized minimal cut set procedure in a planned, small-scaled real environment, which requires testing the procedure in real-time and in an embedded environment. The optimization is based on percolation theory.
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