{"title":"基于神经网络的汽车智能制动控制研究","authors":"Y. Rui, Wenjie Liu, Xiaoping Li, Zhiwei Zhang","doi":"10.1109/ITSC.2003.1252710","DOIUrl":null,"url":null,"abstract":"Improper braking sometimes causes traffic accidents. In this paper, with the given braking distance, the vehicle speed and maximum speed reduction rate, we explore the intelligent control of the vehicle braking on the basis of the neural networks principle in order to make intelligent appropriate braking for the least-felt impact on human body.","PeriodicalId":123155,"journal":{"name":"Proceedings of the 2003 IEEE International Conference on Intelligent Transportation Systems","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Research on vehicle intelligent braking control based on neural networks\",\"authors\":\"Y. Rui, Wenjie Liu, Xiaoping Li, Zhiwei Zhang\",\"doi\":\"10.1109/ITSC.2003.1252710\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Improper braking sometimes causes traffic accidents. In this paper, with the given braking distance, the vehicle speed and maximum speed reduction rate, we explore the intelligent control of the vehicle braking on the basis of the neural networks principle in order to make intelligent appropriate braking for the least-felt impact on human body.\",\"PeriodicalId\":123155,\"journal\":{\"name\":\"Proceedings of the 2003 IEEE International Conference on Intelligent Transportation Systems\",\"volume\":\"4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2003-12-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2003 IEEE International Conference on Intelligent Transportation Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ITSC.2003.1252710\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2003 IEEE International Conference on Intelligent Transportation Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITSC.2003.1252710","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on vehicle intelligent braking control based on neural networks
Improper braking sometimes causes traffic accidents. In this paper, with the given braking distance, the vehicle speed and maximum speed reduction rate, we explore the intelligent control of the vehicle braking on the basis of the neural networks principle in order to make intelligent appropriate braking for the least-felt impact on human body.