This paper proposes a decision-making framework for Connected Autonomous Vehicle interactions. It provides and justifies algorithms for strategic selection of control references for cruising, platooning and overtaking. The algorithm is based on the trade-off between energy consumption and time. The consequent cooperation opportunities originating from agent heterogeneity are captured by a game-theoretic cooperative-competitive solution concept to provide a computationally feasible, self-enforced, cooperative traffic management framework.
A Framework for Self-Enforced Optimal Interaction Between Connected Vehicles
IEEE Transactions on Intelligent Transportation Systems ; 22 , 10 ; 6152-6161
2021-10-01
3612923 byte
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
A self-enforced optimal framework for inter-platoon transfer in connected vehicles
Taylor & Francis Verlag | 2023
|ROOM LAMP CLIP FOR VEHICLES WITH ENFORCED BREAKAWAY SEPARAION PREVENTION
Europäisches Patentamt | 2023
|Engineering Index Backfile | 1908
|