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
28.01.2020
9 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
mixed connected environment , road vehicles , signal-free intersection , intersection delay model , total vehicle delay , intelligent vehicle control , vehicle demand , road traffic control , vehicle environment , average vehicle delay , connected vehicle environments , intersection performance , delays , optimal speed control actions , conflict vehicle movements , advanced vehicle control system
Metadata by IET is licensed under CC BY 3.0
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