{"title":"商用车主动防侧翻性能评价模型","authors":"Wen-liang Li, Wei Zhou, Qi Zhan, Xuewen Zhang","doi":"10.1109/ICDSBA51020.2020.00053","DOIUrl":null,"url":null,"abstract":"A multi-level comprehensive evaluation model of rollover prevention performance for commercial vehicle is proposed for the first time in this paper. By analyzing the performance indexes and test conditions of four active prevention and control technologies, including Driver Status Monitor (DSM), Curve Speed Warning System (CSWS), Electric Stability Control (ESC) and Tire Pressure Monitoring System (TPMS), the weights of their technologies and test conditions are assigned, and the test conditions are scored. Combined with the weights and test scores, the total score of rollover prevention performance is obtained according to the evaluation model formula. Then, the rollover prevention performance is ranked. Finally, the validity of the model is verified by the test data of three test vehicles, which can evaluate the overall rollover performance of commercial vehicle comprehensively and scientifically.","PeriodicalId":354742,"journal":{"name":"2020 4th Annual International Conference on Data Science and Business Analytics (ICDSBA)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Evaluation Model of Active Rollover Prevention Performance for Commercial Vehicle\",\"authors\":\"Wen-liang Li, Wei Zhou, Qi Zhan, Xuewen Zhang\",\"doi\":\"10.1109/ICDSBA51020.2020.00053\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A multi-level comprehensive evaluation model of rollover prevention performance for commercial vehicle is proposed for the first time in this paper. By analyzing the performance indexes and test conditions of four active prevention and control technologies, including Driver Status Monitor (DSM), Curve Speed Warning System (CSWS), Electric Stability Control (ESC) and Tire Pressure Monitoring System (TPMS), the weights of their technologies and test conditions are assigned, and the test conditions are scored. Combined with the weights and test scores, the total score of rollover prevention performance is obtained according to the evaluation model formula. Then, the rollover prevention performance is ranked. Finally, the validity of the model is verified by the test data of three test vehicles, which can evaluate the overall rollover performance of commercial vehicle comprehensively and scientifically.\",\"PeriodicalId\":354742,\"journal\":{\"name\":\"2020 4th Annual International Conference on Data Science and Business Analytics (ICDSBA)\",\"volume\":\"49 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 4th Annual International Conference on Data Science and Business Analytics (ICDSBA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICDSBA51020.2020.00053\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 4th Annual International Conference on Data Science and Business Analytics (ICDSBA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDSBA51020.2020.00053","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Evaluation Model of Active Rollover Prevention Performance for Commercial Vehicle
A multi-level comprehensive evaluation model of rollover prevention performance for commercial vehicle is proposed for the first time in this paper. By analyzing the performance indexes and test conditions of four active prevention and control technologies, including Driver Status Monitor (DSM), Curve Speed Warning System (CSWS), Electric Stability Control (ESC) and Tire Pressure Monitoring System (TPMS), the weights of their technologies and test conditions are assigned, and the test conditions are scored. Combined with the weights and test scores, the total score of rollover prevention performance is obtained according to the evaluation model formula. Then, the rollover prevention performance is ranked. Finally, the validity of the model is verified by the test data of three test vehicles, which can evaluate the overall rollover performance of commercial vehicle comprehensively and scientifically.
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