Safe Reinforcement Learning-Based Eco-Driving Control for Mixed Traffic Flows With Disturbances
Safe reinforcement learning framework for eco-driving that maintains robust safety under traffic disturbances.
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Safe reinforcement learning framework for eco-driving that maintains robust safety under traffic disturbances.
Physics-augmented DeePC controller for robust eco-driving against diverse human driver behaviors.
Developing RL-based control strategies that let connected and automated vehicles save energy while coexisting with heterogeneous human drivers. Our field-data-calibrated framework …
Reinforcement learning-based eco-cruising for connected vehicles in mixed traffic, calibrated against real human driver behaviors.