An adaptive potential game framework enables cooperative driving in mixed CAV-HDV traffic by establishing system utilities from individual ones, using Shapley values for marginal contributions, and dynamically estimating HDV preferences from observed behavior.
Connected automated ve- hicle cooperative control with a deep reinforcement learning approach in a mixed traffic environment
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Toward Cooperative Driving in Mixed Traffic: An Adaptive Potential Game-Based Approach with Field Test Verification
An adaptive potential game framework enables cooperative driving in mixed CAV-HDV traffic by establishing system utilities from individual ones, using Shapley values for marginal contributions, and dynamically estimating HDV preferences from observed behavior.