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Self-learning drift control of automated vehicles beyond handling limit after rear-end collision
Transportation Safety and Environment
Vehicles involved in traffic accidents generally experience divergent vehicle motion, which causes severe damage. This paper presents a self-learning drift-control method for the purpose of stabilizing a vehicle's yaw motions after a high-speed rear-end collision. The struck vehicle generally experiences substantial drifting and/or spinning after the collision, which is beyond the handling limit and difficult to control. Drift control of the struck vehicle along the original lane wasdoi:10.1093/tse/tdaa009 fatcat:vzgxqhqtofga7mjtnjg6jjfwsm