{"title":"基于驾驶模拟器的多模式自动车辆跟随模型研究","authors":"Weiwei Guo, Yangyang Li, Yinghong Li, Jiyuan Tan, Zihui Guo","doi":"10.1109/YAC.2019.8787728","DOIUrl":null,"url":null,"abstract":"The traditional OV model and Gipps model have problems such as limited applicability frequent fluctuations of acceleration and so on when applied to autonomous driving vehicles. The driving experiment was carried out by using the driving simulator, and the driving state of vehicle was divided according to the experimental analysis results. Based on the driving targets in different states of the vehicle, a multi-mode autonomous car-following model based on driving simulator was proposed to realize the safe and stable operation of autonomous driving vehicle. The results show that the model is more stable in the driving simulator simulation environment, and it provides a basis for the research of autonomous driving behavior.","PeriodicalId":6669,"journal":{"name":"2019 34rd Youth Academic Annual Conference of Chinese Association of Automation (YAC)","volume":"7 1","pages":"631-636"},"PeriodicalIF":0.0000,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Research on Multi-mode Autonomous Car-following Model Based on Driving Simulator\",\"authors\":\"Weiwei Guo, Yangyang Li, Yinghong Li, Jiyuan Tan, Zihui Guo\",\"doi\":\"10.1109/YAC.2019.8787728\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The traditional OV model and Gipps model have problems such as limited applicability frequent fluctuations of acceleration and so on when applied to autonomous driving vehicles. The driving experiment was carried out by using the driving simulator, and the driving state of vehicle was divided according to the experimental analysis results. Based on the driving targets in different states of the vehicle, a multi-mode autonomous car-following model based on driving simulator was proposed to realize the safe and stable operation of autonomous driving vehicle. The results show that the model is more stable in the driving simulator simulation environment, and it provides a basis for the research of autonomous driving behavior.\",\"PeriodicalId\":6669,\"journal\":{\"name\":\"2019 34rd Youth Academic Annual Conference of Chinese Association of Automation (YAC)\",\"volume\":\"7 1\",\"pages\":\"631-636\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 34rd Youth Academic Annual Conference of Chinese Association of Automation (YAC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/YAC.2019.8787728\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 34rd Youth Academic Annual Conference of Chinese Association of Automation (YAC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/YAC.2019.8787728","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on Multi-mode Autonomous Car-following Model Based on Driving Simulator
The traditional OV model and Gipps model have problems such as limited applicability frequent fluctuations of acceleration and so on when applied to autonomous driving vehicles. The driving experiment was carried out by using the driving simulator, and the driving state of vehicle was divided according to the experimental analysis results. Based on the driving targets in different states of the vehicle, a multi-mode autonomous car-following model based on driving simulator was proposed to realize the safe and stable operation of autonomous driving vehicle. The results show that the model is more stable in the driving simulator simulation environment, and it provides a basis for the research of autonomous driving behavior.