{"title":"面向自动驾驶车辆的生物启发分散队列","authors":"S. Sreenivasamurthy, K. Obraczka","doi":"10.1109/VTC2021-Spring51267.2021.9448731","DOIUrl":null,"url":null,"abstract":"In this paper, we introduce a novel decentralized approach to automated vehicle platooning inspired by emergent-behavior commonly found in biological systems. The proposed emergent-behavior based platooning uses simple rules that the vehicles follow when they interact to carry out maneuvers. Platooning maneuvers such as join, exit, and lane change \"emerge\" as a result of vehicles following these \"emergent rules\". Preliminary complexity analysis as well as simulation experiments yield promising results that demonstrate emergent behavior platooning as a viable form of decentralized platooning.","PeriodicalId":194840,"journal":{"name":"2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Towards Biologically Inspired Decentralized Platooning for Autonomous Vehicles\",\"authors\":\"S. Sreenivasamurthy, K. Obraczka\",\"doi\":\"10.1109/VTC2021-Spring51267.2021.9448731\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we introduce a novel decentralized approach to automated vehicle platooning inspired by emergent-behavior commonly found in biological systems. The proposed emergent-behavior based platooning uses simple rules that the vehicles follow when they interact to carry out maneuvers. Platooning maneuvers such as join, exit, and lane change \\\"emerge\\\" as a result of vehicles following these \\\"emergent rules\\\". Preliminary complexity analysis as well as simulation experiments yield promising results that demonstrate emergent behavior platooning as a viable form of decentralized platooning.\",\"PeriodicalId\":194840,\"journal\":{\"name\":\"2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring)\",\"volume\":\"65 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/VTC2021-Spring51267.2021.9448731\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/VTC2021-Spring51267.2021.9448731","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Towards Biologically Inspired Decentralized Platooning for Autonomous Vehicles
In this paper, we introduce a novel decentralized approach to automated vehicle platooning inspired by emergent-behavior commonly found in biological systems. The proposed emergent-behavior based platooning uses simple rules that the vehicles follow when they interact to carry out maneuvers. Platooning maneuvers such as join, exit, and lane change "emerge" as a result of vehicles following these "emergent rules". Preliminary complexity analysis as well as simulation experiments yield promising results that demonstrate emergent behavior platooning as a viable form of decentralized platooning.
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