Raphael E. Stern, D. Work, Shumo Cui, H. Pohlmann, Benjamin Seibold, M. D. Monache, B. Piccoli, J. Sprinkle
{"title":"WiP Abstract: Stabilizing Traffic with a Single Autonomous Vehicle","authors":"Raphael E. Stern, D. Work, Shumo Cui, H. Pohlmann, Benjamin Seibold, M. D. Monache, B. Piccoli, J. Sprinkle","doi":"10.1109/ICCPS.2016.7479130","DOIUrl":null,"url":null,"abstract":"This work focuses on technologies for cyber physical systems (CPS) to mitigate traffic instabilities that adversely affect fuel consumption (e.g., stop-and-go waves) via precise velocity control of a small number of autonomous vehicles (AVs) on the highway. The main finding is that even a single autonomous vehicle may substantially reduce undesirable traffic waves in its vicinity when properly controlled. The general approach is to use AVs and their sensors to detect congestion events, and then close the loop by carefully following prescribed velocity controllers that are demonstrated to reduce the fuel consumption of the overall traffic flow.","PeriodicalId":6619,"journal":{"name":"2016 ACM/IEEE 7th International Conference on Cyber-Physical Systems (ICCPS)","volume":"23 1","pages":"1-1"},"PeriodicalIF":0.0000,"publicationDate":"2016-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 ACM/IEEE 7th International Conference on Cyber-Physical Systems (ICCPS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCPS.2016.7479130","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
This work focuses on technologies for cyber physical systems (CPS) to mitigate traffic instabilities that adversely affect fuel consumption (e.g., stop-and-go waves) via precise velocity control of a small number of autonomous vehicles (AVs) on the highway. The main finding is that even a single autonomous vehicle may substantially reduce undesirable traffic waves in its vicinity when properly controlled. The general approach is to use AVs and their sensors to detect congestion events, and then close the loop by carefully following prescribed velocity controllers that are demonstrated to reduce the fuel consumption of the overall traffic flow.