{"title":"真实世界的道路排和负面障碍","authors":"H. Hexmoor, K. Ahmed","doi":"10.1109/CSCI49370.2019.00123","DOIUrl":null,"url":null,"abstract":"The real world road segments contain negative obstacles and hazards as well as congestions that impede free flowing traffic. In addition, real world vehicles are differently equipped and at various roadworthy states. Vehicle platoons are more efficient when the leader selection accounts for actual road conditions and specific attributes of vehicle involved. We propose real world consideration and attributes that represent vehicles and roads in the real world and how to select the most fit platoon leaders. Communication and leader selection methodology is discussed and preliminary results for negative obstacle detection are offered.","PeriodicalId":103662,"journal":{"name":"2019 International Conference on Computational Science and Computational Intelligence (CSCI)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Real World Road Platoons and Negative Obstacles\",\"authors\":\"H. Hexmoor, K. Ahmed\",\"doi\":\"10.1109/CSCI49370.2019.00123\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The real world road segments contain negative obstacles and hazards as well as congestions that impede free flowing traffic. In addition, real world vehicles are differently equipped and at various roadworthy states. Vehicle platoons are more efficient when the leader selection accounts for actual road conditions and specific attributes of vehicle involved. We propose real world consideration and attributes that represent vehicles and roads in the real world and how to select the most fit platoon leaders. Communication and leader selection methodology is discussed and preliminary results for negative obstacle detection are offered.\",\"PeriodicalId\":103662,\"journal\":{\"name\":\"2019 International Conference on Computational Science and Computational Intelligence (CSCI)\",\"volume\":\"30 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 International Conference on Computational Science and Computational Intelligence (CSCI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CSCI49370.2019.00123\",\"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 International Conference on Computational Science and Computational Intelligence (CSCI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSCI49370.2019.00123","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The real world road segments contain negative obstacles and hazards as well as congestions that impede free flowing traffic. In addition, real world vehicles are differently equipped and at various roadworthy states. Vehicle platoons are more efficient when the leader selection accounts for actual road conditions and specific attributes of vehicle involved. We propose real world consideration and attributes that represent vehicles and roads in the real world and how to select the most fit platoon leaders. Communication and leader selection methodology is discussed and preliminary results for negative obstacle detection are offered.
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