Research On Vehicle Risk Analysis And On-transit Speed Warning Based On Traffic Environment

With the development of information and network,assisted driving has become an important direction of the development of vehicle and traffic intelligence.In the process of promoting car assisted driving,not only to use the functions of artificial intelligence,radar and positioning to improve the safety performance of driving automobiles is necessary,but also to improve the informationization and intelligentization of roadside equipment and road driving performance are the prerequisite for the safety of car driving.On the one hand,the driving adaptability of automobiles manifests in the rationality of road design,on the other hand,it manifests in the road coordination based on the collection and fusion of full-time and dynamic traffic information.Therefore,it is necessary to conduct in-depth analysis and research on vehicle driving risk in traffic environment.At the same time,it is necessary to collect and extract real-time traffic risk information for the evaluation of road environmental risk grade.Then the traffic risk information is transmitted to the vehicles on the road.Through the driver's risk early warning,warning the driving vehicle to adjust the speed risk,which can reduce the vehicle driving risk and traffic accident rate.Environmental risk is an important factor in traffic accidents.Aiming at the traffic environment risk in highway,this paper mainly studies the following three aspects:Firstly,The environmental risk affecting traffic safety in driving safety is studied,and the risk assessment model is established.The risk model is applied to the Kunming-Shilin highway(following call it Kunshi highway)with high accident rate,and the risk grade of traffic environment be calculated.The traffic environment risk of Kunshi highway is compared with the traffic accident data of Kunshi highway for five years.Pearson correlation coefficient is used to analyze the correlation between risk data and accident data to verify the rationality of traffic environmental risk model.Secondly,on the basis of Traffic Environment Risk model,dynamic risk factors related to real-time speed and operating speed are added to establish the Traffic Safety Risk Index model.Traffic Safety Risk Index is divided into four risk thresholds: High Risk,Medium Risk,Light Risk and Low Risk,which reference to road safety evaluation criteria,road design criteria,etc.According to the risk threshold of Traffic Safety Risk Index,the speed range corresponding to each risk threshold is calculated.The risk vehicle speed based on traffic safety risk index is studied and analyzed.The velocity gradient formula related to the traffic accident rate is selected to analyze the risky vehicle speed,and the real-time recommended vehicle speed is obtained.The reasonableness and feasibility of the real-time recommended speed are verified by using the speed gradient model related to the traffic accident rate.Finally,the methods of obtaining road risk information are studied,which includes Open Drive high-precision map,CDD camera image recognition technology,GPS navigation system,infrared sensor,Hall speed sensor and other information acquisition methods.The information acquisition method of traffic environment risk is determined,the information format and transformation model are determined,and an on-board early warning system based on 5G cellular network data transmission of vehicle external network data and CAN bus vehicle internal information transmission is established to realize on-road vehicle speed early warning.This paper studies and analyses the risk information in the traffic environment,and establishes Traffic Safety Risk Index,which is used to evaluate the risk level of on-the-road vehicles.Then it realizes the early warning of vehicle speed in the road.The results show that the real-time recommended speed obtained by using the Traffic Safety Risk Index in this paper can reduce the traffic accident rate of vehicles on the road,and provide a theoretical basis for the improvement and adjustment of traffic environment safety.