Abstract
To improve novice driver's path following performance and reduce driver workload, an active haptic assistance controller in consideration of expert driver characteristics is proposed in this paper. By collecting drive data and recognizing expert driver's characteristics, we establish an expert driver model and apply it to the active haptic assistance controller using sliding mode control (SMC) to generate optimized steering input. We evaluate the performance of the expert driver model and the controller in hardware-in-loop experiments which conducted in Matlab/Simulink platform with CarSim® vehicle model and Prescan environment. The results show that the controller can help novice drivers steer as expert without extra knowledge.
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