{"title":"最优驾驶引导的车辆轨迹生成","authors":"Li Li, Feiyue Wang","doi":"10.1109/ITSC.2002.1041220","DOIUrl":null,"url":null,"abstract":"This paper address the issue of generating an optimum trajectory for driving intelligent vehicles equipped with digital maps. The vehicle dynamic equation is incorporated into the design formulation for trajectory generation under several performance indices. A numerical procedure for solving the general optimum trajectory generation using a cell mapping method is developed. To demonstrate the effectiveness of the proposed solution, case studies for minimum time, energy, and jerk trajectories are conducted.","PeriodicalId":365722,"journal":{"name":"Proceedings. The IEEE 5th International Conference on Intelligent Transportation Systems","volume":"108 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":"{\"title\":\"Vehicle trajectory generation for optimal driving guidance\",\"authors\":\"Li Li, Feiyue Wang\",\"doi\":\"10.1109/ITSC.2002.1041220\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper address the issue of generating an optimum trajectory for driving intelligent vehicles equipped with digital maps. The vehicle dynamic equation is incorporated into the design formulation for trajectory generation under several performance indices. A numerical procedure for solving the general optimum trajectory generation using a cell mapping method is developed. To demonstrate the effectiveness of the proposed solution, case studies for minimum time, energy, and jerk trajectories are conducted.\",\"PeriodicalId\":365722,\"journal\":{\"name\":\"Proceedings. The IEEE 5th International Conference on Intelligent Transportation Systems\",\"volume\":\"108 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2002-09-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings. The IEEE 5th International Conference on Intelligent Transportation Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ITSC.2002.1041220\",\"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. The IEEE 5th International Conference on Intelligent Transportation Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITSC.2002.1041220","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Vehicle trajectory generation for optimal driving guidance
This paper address the issue of generating an optimum trajectory for driving intelligent vehicles equipped with digital maps. The vehicle dynamic equation is incorporated into the design formulation for trajectory generation under several performance indices. A numerical procedure for solving the general optimum trajectory generation using a cell mapping method is developed. To demonstrate the effectiveness of the proposed solution, case studies for minimum time, energy, and jerk trajectories are conducted.