Vehicle Adaptive Cruise Longitudinal Control Based On Multiple Traffic Conditions

Adaptive cruise control technology is one of the products of industrial intelligence and the foundation of future unmanned technology.This technology aims to ensure the safety of the vehicle while providing a comfortable driving experience for the driver and passengers.Not only that,mature adaptive cruise control technology can also affect traffic flow in daily life,to some extent ease traffic conditions such as road congestion.This article through the theoretical analysis,simulation experiments and real car experiments,theory and practice,completes multi-road driving adaptive cruise longitudinal control of key technologies.In this paper,a millimeter-wave radar multi-lane target detection,tracking and fast switching method for millimeter-wave radar is designed for rapid and effective identification of target vehicles in the environment.The key technologies are needed.Through actual vehicle experiments,the target vehicle on the actual road was identified and tracked,and the effectiveness of the design method was verified.In this paper,estimation method of Unscented Kalman Filter is used to estimate the pavement adhesion coefficient.Based on the establishment of a vehicle dynamics model,a four-wheel dynamics model of the vehicle is established.Then,four typical types of road surfaces,namely dry asphalt,wet asphalt,snow,and ice,are selected,and the state of the vehicle and the road surface adhesion coefficient are determined by unscented Kalman filter.It is estimated that the actual output values of the setpoints and simulations are compared and analyzed to verify the accuracy of the estimation results.Afterwards,the appropriate vehicle safety distance model is selected,and the factors such as the adhesion coefficient of the road surface,the angle of the slope,etc.are taken into consideration,and an improved safety distance model is proposed to make it suitable for a variety of road conditions.In this paper,in order to achieve a safer and smooth follow-up effect on the basis of different gradients of different road surfaces and road surfaces,an improved fuzzy control algorithm is designed based on classical fuzzy control theory and the improvement of classical fuzzy control algorithms.The realization of the function of the ACC system under different road surfaces has been completed,and it has a high degree of adaptability to a variety of road surfaces.The results of simulation experiments and real-vehicle experiments under various road conditions show that the algorithm is robust to random disturbances such as changes in driving conditions.The research results of this paper have practical application value,have significant improvement on the active safety of the vehicle,and effectively achieve the goal of the vehicle's smooth and safe follow-up under adaptive cruise control.