S. Henning, Kevin Malena, C. Link, Sandra Gausemeier, A. Trächtler
{"title":"Macroscopic Traffic Flow Control using Consensus Algorithms","authors":"S. Henning, Kevin Malena, C. Link, Sandra Gausemeier, A. Trächtler","doi":"10.1109/ITSC45102.2020.9294474","DOIUrl":null,"url":null,"abstract":"In previous researches, a new approach in the field of traffic flow control using consensus algorithms was studied by using microscopic traffic simulations and led to promising results. However, these studies based on some assumptions and uncertainties within the microscopic traffic model since the control variables are defined within the domain of macroscopic traffic values and therefore have to be appropriately converted into the domain of microscopic traffic values for analysis. In contrast to this, in this work an analysis of the consensus-based traffic flow control approach within the domain of macroscopic values only is presented. Consequently, a second order macroscopic traffic flow model with multiple extensions is developed to model a road network and to study the consensus-based control approach without needing to consider microscopic traffic model characteristics.","PeriodicalId":394538,"journal":{"name":"2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITSC45102.2020.9294474","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In previous researches, a new approach in the field of traffic flow control using consensus algorithms was studied by using microscopic traffic simulations and led to promising results. However, these studies based on some assumptions and uncertainties within the microscopic traffic model since the control variables are defined within the domain of macroscopic traffic values and therefore have to be appropriately converted into the domain of microscopic traffic values for analysis. In contrast to this, in this work an analysis of the consensus-based traffic flow control approach within the domain of macroscopic values only is presented. Consequently, a second order macroscopic traffic flow model with multiple extensions is developed to model a road network and to study the consensus-based control approach without needing to consider microscopic traffic model characteristics.