Research On ITS Anti-collision Technology In Complex Noise Environment

With the increase in the number of urban cars,the city's traffic congestion,traffic accidents and traffic pollution and other issues are increasing.The city's traffic congestion,traffic accidents and traffic pollution and other issues are increasing.Both the developed and the developing countries are beset by these traffic problems.China as a developing country,this issue is particularly serious.The rear-end collision accident occupies the bulk of the urban traffic accident and causes serious economic losses.Therefore,in order to solve the problem of rear-end collision accident,this paper has done a lot of theoretical derivation and experimental research on ITS(Intelligent Transportation System)anti-collision technology in complex noise environment,and proposed anti-collision scheme.The ITS anti-collision scheme is composed of signal denoising model,signal detection model,dynamic model and decision model.The signal used in this scheme is radar signal,after signal de-noise processing;denoising radar signal will be input to the detector for signal detection,get the detection probability and determine whether there is a car in front;at the same time,the dynamic model calculates the safety distance according to the running state of the front and rear cars;finally,the decision model compares the above results as input and sets the threshold to determine whether the vehicle should be braked.The main work done in this paper is as follows: firstly,this paper realizes the regional threshold EMD denoising algorithm based on the probability density function,and compares it with wavelet denoising and other EMD-based denoising algorithms.Experiments show that the former has better performance than other algorithms.Secondly,this paper proposes time correlation test model,spatial correlation detection model and space-time correlation detection model based on the correlation of the signal.The simulation results based on GLRT are better than other detectors,and the performance of GLRT-FR is the best.Thirdly,based on the dynamic model and the decision model,this paper proposes an ITS collision avoidance scheme in complex noise environment.Compared with other anti-collision schemes,this paper has a denoising algorithm and a signal detector with excellent performance,which makes it easy to detect the front of the vehicle in the case of large ambient noise.Secondly,the dynamic model and the decision model proposed in this paper combine the driving process of the motor vehicle,and the judgment result is reasonable and reliable.Finally,this paper assumes that the anti-collision simulation scenario takes full account of the real scene in the traffic,so the experimental results in this paper are more authentic.The simulation results show that the ITS anti-collision scheme in the complex noise environment is feasible and can improve the safety of the driving process.