Giorgia Chini, Cecilia Poli, G. Oddi, A. Pietrabissa, M. Grigioni
{"title":"Receding horizon multi-vehicle routing for emergency scenarios","authors":"Giorgia Chini, Cecilia Poli, G. Oddi, A. Pietrabissa, M. Grigioni","doi":"10.1109/MED.2014.6961400","DOIUrl":null,"url":null,"abstract":"This paper deals with dynamic Multi-Vehicle Routing Problem in both deterministic and stochastic scenarios; the objective is to find the best paths for a fleet of vehicles, with the aim of visiting a set of targets. Based on the Cooperative Receding Horizon approach proposed in [4] for the Euclidean case, this paper i) develop a routing algorithm for graph-represented mission spaces, ii) presents a switching algorithm, which is able to dynamically change the vehicle behaviour according to the time-variable configuration of both vehicles and targets, as well as to handle the discovery of unknown targets. Simulations show the algorithm effectiveness.","PeriodicalId":127957,"journal":{"name":"22nd Mediterranean Conference on Control and Automation","volume":"49 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"22nd Mediterranean Conference on Control and Automation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MED.2014.6961400","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
This paper deals with dynamic Multi-Vehicle Routing Problem in both deterministic and stochastic scenarios; the objective is to find the best paths for a fleet of vehicles, with the aim of visiting a set of targets. Based on the Cooperative Receding Horizon approach proposed in [4] for the Euclidean case, this paper i) develop a routing algorithm for graph-represented mission spaces, ii) presents a switching algorithm, which is able to dynamically change the vehicle behaviour according to the time-variable configuration of both vehicles and targets, as well as to handle the discovery of unknown targets. Simulations show the algorithm effectiveness.