Research On Three-lane Traffic Flow Model For Intelligent Connected Driving Environment

The intellige nt connected car is a new type of vehicle that realizes intelligence and network connection.In the driving process,there are significant differences between the traditional artificially vehicles in information identification,driving decision and behavior control.The existing traffic flow model is not sufficient to describe the characteristics of traffic flow generated by intelligent connected cars,and it is difficult to meet the road traffic dema nd under the new situation.Therefore,how to model the car-following and lane-changing behaviors in the intelligent connected environment,how to use the infor mation interaction of intelligent connected vehicles to achieve effective coordination amo ng vehicles,thus alleviating traffic congestion and improving road safety is urgently needed.Focusing on the above problems,this paper takes the traffic flow problem o f intelligent connected vehicles as the research object.Under the three-lane straight road environme nt,the traffic flow model for intelligent connected vehicles and the three-lane traffic flow model considering cooperative driving strategy are established.The specific research content is as follows:(1)Analyze and expo und the difference between safe driving distance and car-following behavior under the conditi on of intelligent connected car driving and traditional ma nual driving.By co mbining the real-ti me informa tion interaction technology of intelligent connected vehicles,the safety distance between vehicles and the rando mization probability of traffic flow are rationally modified,and the variable safety distance model and the following model of intelligent connected vehicles are established.(2)The driving behavior of the intellige nt connected car is divided into car-following and lane-changing.According to the lane-changing decision conditions on the three lanes,the lane-changing model on different lanes is established,and the traffic flow model of the intelligent connected vehicle is constructed,including the car-following model and the lane-cha ngi ng model.Through the numerical simulation results of the traffic flow model under artificial driving conditions and the traffic flow model of intellige nt connected vehicles,we find the intelligent connected driving model can improve the road traffic rate and average speed by 15% and 3%,respectively.The time required to equilibrium the vehicle flow is reduced by 200 seconds,which indicates that the intellige nt connected car can effectively improve road traffic efficiency,safety and homogeneity.(3)A traffic flow model for intelligent connected car cooperative driving is proposed based on the traffic flow model of intellige nt connected vehicles.This model analyzes the adjacent vehicles based on the position a nd speed relationship between the vehicle and surrounding ve hicles to determine the target vehicle and the corresponding driving strategy for achieving coordinated driving with the minimu m speed loss or the larger vehicle spacing between the conflicting vehicles.The simulation experi ment is carried out with the average speed,average distance,speed and road density and the number of lane changes as the evaluation index.The simulation results show that the time required for all vehicles to reach a steady state is further reduced by 100 seconds,the road traffic rate and average speed increased by 3% and 0.8%,respectively,and traffic flow increased by 9% under the same road density conditions.Thus we can conclude that the traffic flow model of intelligent co nnected car cooperative driving can further improve the traffic speed and co mfort and effectively reduce the number of lane changes,thus improving road traffic safety.