This paper proposes a Traj ectory based Traffic Management (TTM) decision maker for connected and automated traffic. The goal is to enable active traffic management on a microscopic level with the help of Connected and Automated Vehicles (CAVs). The proposed decision maker bears the following features: i) enable real-time traffic demand management; ii) ensure control stability; iii) be potential for extension to partially connected and automated traffic. The proposed decision maker is evaluated on a freeway segment. The results demonstrate that the proposed method performs good control stability. It is revealed that the proposed decision maker can stabilize in 2 min.
Trajectory Based Active Traffic Management by Leveraging Connected and Automated Vehicles
22.10.2021
2911226 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Wiley | 2024
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