Abstract
In this paper a safety distance automatic control model (SDACM) and algorithm are introduced to solve the problem that the traditional vehicle safe distance control models have poor safety distance control. The algorithm uses road recognition and learning-aided module to enhance the self-adaptability for different brake system features, road conditions and the drivers. Based on the vehicle speed and braking performance, the proper period closed-loop safe distance control model are introduced to improve estimation and control accuracy of safety distance. The algorithms have been applied on Chery intelligent autonomous vehicle, through simulation and test under complex urban road condition, the minimum safe distance is maintained within 1.0–2.0 m, control accuracy is ±0.35 m. The results show that the control model and algorithm achieve much better control accuracy in complex urban conditions and effectively improve driving safety, comfort and road traffic efficiency.
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