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Home  »  Research   »   Urban Traffic Control for Autonomous Vehicles

A two-layer traffic control method is proposed to obtain an efficient traffic flow by removal of traffic light and velocity optimization of each individual vehicle in the vicinity of each junction and prioritizing the links to influence the traffic flow. The link prioritization is used for the macroscopic optimization of the system while the junction controller is responsible for the microscopic optimization of vehicles in a junction region. The main aims of the proposed control system are twofold. On the one hand, overall network mobility is increased through the capability of robo-driver of autonomous cars, i.e. headways can be minimized. On the other hand, environmental aspects can also be considered by reducing traffic emissions. Simulation results have demonstrated the superior performance of the proposed method over traditional traffic control in terms of the above mentioned aims. Future work consists of analyzing the practical applicability and the limits of the method.

The autonomous intersection in SUMO traffic simulator:

Autonomous-traffic-controlDownload
Autonomous_junctionDownload
Written by: BME Traffic Lab | Date: 07/02/2023 3:55 PM