Research On Curved Road Anti-collision Early Warning System Of Vehicle Based On Vehicle Infrastructure Cooperative Systems

Today's society is developing at an extremely high speed,and the number of cars keeps increasing.While people enjoy the convenience brought by cars,they are also suffering from traffic accidents caused by some problems such as car running and even irreversible risks.According to the statistics of the United Nations,more than 1.2 million people die each year from road traffic accidents worldwide,and millions more are seriously injured,and they have been living with long-term adverse health consequences.Globally,road traffic collisions are the main cause of people's death.Therefore,traffic safety is an urgent problem to be solved,and it is one of the hot topics for experts and scholars worldwide.Many road accidents occur every day around the world,especially in curved road environments.On average,curved road has five times more accidents than straight roads.Therefore,for the vehicle collision problem on curved roads,an efficient and reliable method is needed to solve it.In the curved roads' collision problem,the advantages of traditional sensors such as radar and camera are not obvious.They are greatly affected by the external environment and there are certain blind spots.Intelligent Vehicle Infrastructure Cooperative System is the latest development direction of the Intelligent Traffic System(ITS).It has low latency,more comprehensive and reliable perceived information,no resource consumption for storing and computing large amounts of data,taking overall environmental information as the object of perception,being less affected by objective factors such as weather and road obstacles,and more accurate road and vehicle information and other advantages.Therefore,this paper designs and develops a curved road collision prevention warning system of automobile.The specific research content is as follows:This paper first analyzes the discrete data collected by the vehicle-road collaboration technology.By analyzing and comparing different data processing methods,the shape-preserving piecewise cubic Hermite interpolation is selected to preprocess the discrete data.Then,the missing and erroneous data of car navigation are processed,and GPS coordinate conversion is performed to convert the international WGS-84 coordinate system to the BJ-54 coordinate system,which is convenient for the next analysis and calculation.And then,based on the vehicle information and surrounding environment information,by analyzing the collision process and collision points of the vehicle,in order to dynamically predict whether the vehicle is in danger of collision,a curved road collision prevention warning system of automobile is proposed.The warning system is composed of a time model of collision of two degrees of freedom and a threshold model of collision time of two degrees of freedom.Next,according to the early warning system,it is proposed to formulate the warning strategy for the vehicle under the coordination of the vehicle and the vehicle before the collision in the curve,and to establish the warning warning system of different grades,namely the hierarchical warning mechanism.Finally,Pre Scan software was used to set up a simulation environment.Simulink was used to simulate and analyze the simulation results.The early warning strategy was simulated and verified.The GUI human-machine interface was designed.An experimental method based on Apollo smart car and WB-L20 B vehicle-specific shortrange communication equipment was designed.The final simulation results show that the anti-collision warning system designed in this paper can prompt the driver whether there is a danger of collision,avoid collision accidents,and prove that the anti-collision warning system in this paper is effective.