G. R. Campos, P. Falcone, H. Wymeersch, Robert Hult, J. Sjöberg
{"title":"Cooperative receding horizon conflict resolution at traffic intersections","authors":"G. R. Campos, P. Falcone, H. Wymeersch, Robert Hult, J. Sjöberg","doi":"10.1109/CDC.2014.7039840","DOIUrl":null,"url":null,"abstract":"In this article, we consider the problem of coordinating a number of vehicles crossing a traffic intersection. The proposed solution is based on a receding horizon formulation with a pre-defined decision order. In this approach, local problems are formulated for each vehicle, which are divided into a finite-time optimal control problem, where collision avoidance is enforced as terminal constraints, and an infinite horizon control problem, which can be solved offline. Feasibility conditions for a given decision sequence are also derived and simulation results are presented.","PeriodicalId":202708,"journal":{"name":"53rd IEEE Conference on Decision and Control","volume":"17 5","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"83","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"53rd IEEE Conference on Decision and Control","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CDC.2014.7039840","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 83
Abstract
In this article, we consider the problem of coordinating a number of vehicles crossing a traffic intersection. The proposed solution is based on a receding horizon formulation with a pre-defined decision order. In this approach, local problems are formulated for each vehicle, which are divided into a finite-time optimal control problem, where collision avoidance is enforced as terminal constraints, and an infinite horizon control problem, which can be solved offline. Feasibility conditions for a given decision sequence are also derived and simulation results are presented.