Study On Following Model Construction And Heterogeneous Traffic Flow Performance Considering Multi-Vehicle Information In Intelligent Network Environment

In recent years,along with the development of connected vehicle technology and the widespread use of intelligent transportation systems,scholars from various countries generally believe that traffic design and management with human-driven vehicles have encountered bottlenecks in enhancing the basic road capacity,increasing traffic flow stability,and reducing traffic pollution and energy consumption,while Connected and Automated Connected Vehicle(CAV)is expected to improve the traffic flow performance at the microscopic traffic flow dynamics level and solve these problems through new methods.Based optimized speed-like following model theory,considering front and rear asymmetric multi-CAV information(AMFR-CAV)following model is constructed.The effects of the market rate of networked vehicles and driver heterogeneity on the performances of heterogeneous traffic flows are investigated.The combination of theoretical research and traffic engineering applications is highlighted to provide a theoretical basis for future field testing of large-scale networked vehicles and traffic management,etc.The research content of this paper is as follows:(1)Based on the technical characteristics of the network-linked vehicles,the AMFR-CAV follow-along model is constructed.This model can consider the factors of multi-head spacing(35)x_n(t),speed difference(35)_nv(t)and acceleration difference(35)_na(t)and also an uncertain amount of front and rear vehicle information depending on the environment.Complementing previous scholars’neglect of information on the number of front and rear vehicles in the model.(2)The stability conditions of the AMFR-CAV follow-along model are derived using the regression method,and the stability intervals of the AMFR-CAV model are better than those of the previous classical model by plotting the phase of the headway h versus sensitivity coefficient a curves of the AMFR-CAV and the previous classical model.The influence of the relevant parameters on the stability intervals in the AMFR-CAV follow-along model is also investigated.The results show that the smaller the front vehicle weight p,the larger the speed difference coefficient b and the acceleration difference coefficient c,the better the stability performance of the following model.And when the number of front and rear cars is certain,the asymmetric front and rear car number relationship where the number of front cars is smaller than the number of rear cars is more conducive to model stability than considering a symmetric front and rear car number.(3)Design the simulation experiments of AMFR-CAV model in the process of vehicle start-stop and circular road traffic flow evolution.By analyzing the simulation results of velocity,acceleration and position of different numbered vehicles,it is verified the AMFR-CAV model can improve the traffic flow stability performance.It also investigates the influence of AMFR-CAV model on the stability of traffic flow considering different number of front and rear vehicles.The results show that the traffic flow stability is best when the number of vehicles in front and behind the following vehicle is F=2 and R=8 in the deceleration process,and F=3and R=7 in the acceleration process.It is proved that the AMFR-CAV following vehicle model is not better than the more the number of front vehicles considered.(4)Based on the traffic engineering perspective,construct a heterogeneous traffic flow model with AMFR-CAV model as the CAV-following model,and study the effects of CAV market rate and driver heterogeneity on the basic traffic characteristics,basic road capacity,traffic energy consumption and emission of heterogeneous traffic flow.The results show that aggressive drivers have a positive impact on traffic performance,while conservative drivers have a negative impact.The traffic flow density is greater when different types of vehicles exist in the traffic flow.The increase of the market rate of net-connected vehicles has a positive effect on improving the stability of traffic flow,improving the basic road capacity and reducing traffic energy consumption and emission.When the market rate of net-connected vehicles exceeds50%,the heterogeneous traffic flow tends to a stable driving state after interference,and the amount of traffic emission and energy consumption also stabilizes at the minimum value,when the basic characteristics of traffic and traffic emission and energy consumption are not affected by the heterogeneous drivers.