Research On Traffic Adaptability Of Naturalistic Driving V2V Communication Technology Based On Scene Chain

With the rapid development of intelligent networking technology,the Internet of vehicles industry has entered a key commercial landing stage.However,before large-scale practical application in real traffic environment,there are still many problems to be solved.Among them,the traffic adaptability test of vehicle communication technology based on complex traffic operation environment is still a relatively blank state,and a complete set of scheme is urgently needed for testing And research.The traditional vehicle test and evaluation object is a relatively independent single evaluation mode of "person vehicle road",while the test and evaluation object of intelligent network connected vehicle becomes a strong coupling functional system of "person vehicle road",which is an intelligent mobile terminal that automatically carries out driving tasks such as environment perception,decision-making and early warning,execution and control.Therefore,the performance of vehicle communication does not only depend on the performance of communication transmission Performance,more depends on the perception,decision-making,control of the whole process and "people car road" multi-dimensional comprehensive performance.The original test and evaluation methods based on working conditions can not meet the requirements of automatic driving function test,so it is urgent to establish a new test method and evaluation system to adapt to the development of transportation industry.This paper selects the actual open road as the test site,and extracts the data of typical scenes from the collected data,such as car following scene,lane changing scene,curve scene,tunnel scene,intersection scene and rainy day scene.Based on the method of key scenarios,the scene chain is constructed,including branch car following scene,secondary trunk road car following scene,trunk road car following scene,expressway car following scene,curve scene,tunnel scene,left turn intersection scene and right turn intersection scene.Taking the experimental route as the research object,the traffic adaptability of vehicle communication technology is analyzed.In this paper,the continuous vehicle operation state data is discretized by symbol aggregation approximation algorithm.The data of relative longitudinal speed and relative transverse speed in high dimension can be reduced into character coding.The traffic adaptability can be represented by the map.The data changes in different environments can be directly obtained from the qualitative perspective.Through observing the map,the characteristics and trends of the data can be deeply mined Potential.The response mode of driver is obtained by using the method of mobile time window.The mapping relationship between response pattern map and traffic adaptability is compared.The quantitative expression model of traffic adaptability map is constructed from the deviation degree,dispersion degree and acceleration deceleration coupling degree of the mode.Then,the traffic adaptability score of each scenario in the two environments is determined,and the vehicle communication environment and traditional communication free traffic are compared The traffic adaptability of vehicle communication technology is studied based on the analysis of the risk and instability of different environments by the score of the environment.In the part of analyzing the traffic adaptability of vehicle to vehicle communication technology,this paper evaluates the traffic adaptability of nine key scenarios from the perspective of safety and comfort by using two indicators of relative lateral speed and relative longitudinal speed in the way of representation graph.By using descriptive statistics,this paper evaluates the traffic adaptability of six typical scenarios from the perspective of driving efficiency,using two indicators of driving speed and headway.Finally,based on the scene chain composed of nine key scenes,the traffic adaptability score of the experimental route is obtained by using the data collected from the actual road and the quantitative expression model of scene chain adaptability constructed by the mobile time window and its frequency.To sum up,it is of great scientific research value to study the function law and evaluation method of vehicle to vehicle communication technology traffic adaptability.Test and verification is an indispensable part of the development of vehicle to vehicle communication function and technology application of intelligent network connected vehicle.Traffic adaptability evaluation can provide a set of scientific and effective methods and means for the performance evaluation of vehicle to vehicle communication technology in complex road operation environment It is of great significance for the establishment of intelligent transportation system of people vehicle road coordination,improvement of urban road driving environment,and improvement of travel efficiency and safety.