Research On Adaptive Cruise Longitudinal Control Strategy Based On Driving Condition Recognition

With the continuous improvement of automobile penetration rate in China,how to improve ride safety and alleviate traffic congestion has become an important development direction of Driver Assistance System in the complex traffic environment.The adaptive cruise control technology improves the vehicle traffic rate on the basis of ensuring the driving safety through the control of the longitudinal distance,thereby alleviating the traffic congestion to a certain extent.Therefore,it is particularly important to research the key technologies of adaptive cruise control system based on safe distance model and system control method.Firstly,according to the road type and congestion situation in a certain city,an appropriate data collection scheme was designed,and the driving condition data of the city was collected by actual vehicles.Based on the correlation analysis of different characteristic parameters by predecessors,the characteristic parameters used for the construction of the driving conditions were selected.After the cluster analysis of the driving condition data,four typical driving conditions based on the city were constructed.Combining with the typical driving condition database,the back propagation neural network was introduced for driving condition recognition.Then the model was optimized by the existing safety distance model and the recognition results of the driving conditions.Through the simulation analysis of the random test conditions,the reliability of driving condition recognition and the optimized safety distance model is verified.Secondly,this paper combined the previous research on the control methods of the ACC system to ensure the safety and comfort in the following mode,the adaptive cruise control system based on fuzzy control was established by using the advantage of precise control by replacing the precise mathematical model with the skillful driving experience.The system has taken speed difference and distance difference as input and expected acceleration as output to realize the control of vehicle speed and distance in the following mode.Then,with the help of CarSim and Simulink,the co-simulation model was completed,the effectiveness of the dynamic optimization ofthe safety distance model and the reliability of the system control was verified through the simulation of typical following conditions.Finally,an experimental platform was built based on millimeter-wave radar.Before the experiment was carried out,the active calibration of the on-board radar was used to ensure the installation accuracy of the radar met the error requirements.Then,the vehicle following test was conducted according to a certain ACC test items.By comparing the experimental results with the simulation results,it can be seen that the co-simulation model established in this paper has high accuracy and can meet the research needs of the adaptive cruise control system.In this paper,the research on the safety distance model and control method of Adaptive Cruise Control system provides an important reference for improving road traffic safety and congestion.