Adaptive cruise control method based on safety distance model of driver following characteristics

Abstract

The invention discloses a self-adaptive cruise control method based on a safe distance model with driver car-following characteristics, which mainly comprises the following steps: 1, based on the analysis of the motion states between the cars, a safe car-following distance model conforming to the diver car-following characteristics is designed; 2, a fourth-order continuous car-following model of an ACC system is established; 3, the safe car-following distance model established in step 1 is used as the following target of the upper layer decision algorithm of the adaptive cruise system. According to the invention, aiming at the problem that the expected safe distance selected by the upper layer control algorithm of a prior adaptive cruise system does not confirm to the actual driver characteristics, the safe car-following distance model is redesigned and applied to the upper layer decision algorithm, so that the control characteristics of the adaptive cruise system is closer to the control behaviors of a skilled driver and the acceptance and utilization rate of the system are improved.

Description

technical field [0001] The invention relates to the design of a humanized advanced driving assistance system (ADAS), in particular to an adaptive cruise control method based on the driver's driving characteristics. Background technique [0002] With the increasing number of vehicles, problems such as road congestion, energy shortage, environmental pollution and traffic accidents have become increasingly prominent, making intelligent transportation systems (ITS) based on electronics, communication, control and information technology emerge as the times require. Among the components of the human-vehicle-road traffic system, due to certain fluctuations and limitations in the psychology, physiology, and driving habits of drivers, it is inevitable that drivers will experience misjudgments due to fatigue and cause traffic accidents, so they become the weakest part of ITS. link. Advanced Driver Assistance System (ADAS) takes the driver as the research core, and reduces man-made tr...

AI Technical Summary

Problems solved by technology

Its design should conform to the actual driver’s following behavior. If the distance is too small, the driver will feel uncomfortable and even cause the risk of vehicle collision. If the distance is too large, it will not only lose the traffic flow of the road, but also may lead to frequent lane changes and queue jumping. Therefore, choosing an appropriate inter-vehicle spacing strategy can not only improve road traffic utilization, but also improve car following performance and workshop safety.

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