Learning Scheduling Method for Mixed Traffic at Autonomous Intersections Without Reliable Explicit Turn Information of Human-Driven Vehicles
At autonomous intersections in mixed traffic, where Connected and Autonomous Vehicles (CAVs) coexist with Human-Driven Vehicles (HDVs), scheduling must remain effective even when a reliable explicit HDV turning intention is not available sufficiently early for the scheduling decision. This paper proposes a learning-bas...