Conflict vehicle movements at intersections are one bottleneck of traffic mobility on urban networks. Recently, with the development of connected vehicles, regulating conflict movements by controlling individual vehicles to improve intersection performance has attracted a lot of research efforts. This study aims at developing an advanced vehicle control system with connected vehicles to reduce vehicle delays at intersections without the help of signals. An intersection delay model is proposed to predict the total vehicle delay at one intersection and to search for the optimal speed control actions to manage traffic under mixed connected and non‐connected vehicle environment. The simulation experiments illustrate that the control system is able to reduce average vehicle delay by up to 95%, and the sensitivity analysis of vehicle demand and market penetrate rates of connected vehicles is also conducted to understand the benefits of the system at different traffic and connected vehicle environments.
Intelligent vehicle control at signal‐free intersection under mixed connected environment
IET Intelligent Transport Systems ; 14 , 2 ; 82-90
01.02.2020
9 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
total vehicle delay , intersection delay model , intelligent vehicle control , vehicle demand , vehicle environment , connected vehicle environments , intersection performance , signal‐free intersection , road traffic control , conflict vehicle movements , delays , optimal speed control actions , average vehicle delay , advanced vehicle control system , mixed connected environment , road vehicles
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