A multi-agent reinforcement learning-based approach with lateral-longitudinal coupling for highway on-ramp merging control of autonomous vehicle
Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering
Published online on September 09, 2025
Abstract
Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, Ahead of Print.
To improve the safety and efficiency of autonomous vehicles when lane changing occur in the parallel-type on-ramp merging condition on the highway, this paper proposes a multi-agent deep reinforcement learning-based control model in considering the ...
To improve the safety and efficiency of autonomous vehicles when lane changing occur in the parallel-type on-ramp merging condition on the highway, this paper proposes a multi-agent deep reinforcement learning-based control model in considering the ...