| As an important part of the advanced driving assistance system,the anti-collision warning system is mainly used to assist the driver to reduce the risk of vehicle collision by warning potential collision situations.By detecting the relative distance and speed of surrounding vehicles through identification technology or communication,it can determine whether the vehicle is in a safe state in real time,and notify the driver of warning information,and the driver will take corresponding measures based on the warning information to ensure the safe driving of the vehicle.At present,the forward collision warning algorithm has been relatively perfect.Because of its complex structure,different scenes and a large number of intersections,it has always been the focus and difficulty of collision warning system research.There is a high demand for an accurate and efficient collision warning algorithm.For most of the researches that rely on sensors for vehicle detection,there are many limitations in more complex intersections,especially in urban intersections,there are generally a large number of buildings,whether the camera or radar can not effectively detect the road conditions behind buildings.C-v2 x communication mode makes this problem have a good solution.The anti-collision warning system based on v2 x can solve the problem of obstacle occlusion.Using V2 V communication vehicles can accurately detect the information of vehicles around the lane,and even the information of blocked vehicles can be accurately obtained,which provides the basis for the implementation of anti-collision warning algorithm.In this paper,a collision warning algorithm based on intelligent road and c-v2 x communication mode is proposed.The algorithm predicts the trajectory of the vehicle by combining with the vehicle behavior.The algorithm judges the behavior of the vehicle passing the intersection according to the information of the vehicle’s turn signal,and predicts the trajectory of the vehicle according to the different behavior of the vehicle passing the intersection The predicted collision point of the vehicle is obtained by measuring the intersection point of the track,and then the detected collision information is prompted to the driver through video and voice.Then this paper introduces the anti-collision early warning system based on panosim simulation software,including the construction of cross collision scene in the simulation software,the data acquisition sheet in Simulink and the functional modules used,the acquisition and transmission mode of vehicle information in the scene,the connection between each module in the system and the specific implementation of each module,and then uses the system to put forward some suggestions for this paper The predicted trajectory is very close to that calculated by the algorithm.Finally,this paper analyzes and compares the data of many experiments,and verifies the effectiveness of the proposed algorithm by comparing the distance between the predicted collision point and the real collision point when the vehicle passes through the intersection. |
