Study On The Vehicle Anti-collision Warning System Based On The Monte-Carlo Method

With the constant development of our country's society and economy, the highway traffic is characterized by the tendencies of high speed running, intensive traffic flow and the non professional of drivers. The traffic safety has become a more and more serious social problem. To deal with the traffic safety problems in China, the development of intelligence vehicle system is an effective measure. This thesis summarizes current application of the world intelligence vehicles technology in the automatic anti collision. And with the consideration of China's urban complex traffic environment, driving habits and the current technical condition of sensors, it does research on the vehicle anti collision warning system under the complex urban traffic environment.The vehicle anti collision warning system brought up in this thesis can automatically and continuously measure the speed and azimuth data of the obstacles around the moving vehicle, estimate the poses of the vehicle and the objects, then calculate the probability of collision using the Monte Carlo method and finally offer the driver the hazard warning through the warning mechanism. Thus, it can remind the driver to take the correct operation to avoid danger, and perform the function of collision warning.This thesis designs the experimental platform of the vehicle anti collision warning system, which is based on the multi sensor fusion technology. By using the security time logical algorithm, a time based security model is established, and the warning mechanism for the complex urban traffic environment is founded. Based on the collision probability computation of Monte Carlo method, this thesis proposes an improved Monte Carlo method which makes the real time computation of the collision probability to come true. Finally, through simulation and experimental platform test, the overall functions of the system and the correctness of the related researches are verified. Through simulation, the generating process of the collision warning is demonstrated; the speeds of the collision probability calculated separately by the traditional Monte Carlo method and improved Monte Carlo method are compared; besides, the vehicle anti collision warning system's basic functions are tested on the experimental platform.This article has realized the real time warning function of the vehicle anti collision warning system based on the Monte Carlo method, which has important practical significance in the aspects of enhancing the vehicle active safety, reducing accident rate, decreasing the damage caused by traffic accidents, and guaranteeing the driving safety, etc.