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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

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 ...