| With the support of “new infrastructure” policy,the research and development of intelligent networked vehicles in full swing in China will enter a new development climax.In the future,there will inevitably be a mixed driving situation of intelligent network connected vehicles and traditional manual driving vehicles.How to use the unique advantages of intelligent network connected vehicles to solve the existing traffic problems has also become the focus of attention from all walks of life.The research of this paper is carried out under this background.Based on the different characteristics of these two types of vehicles,the mixed traffic flow cellular automata model of expressway is established,and the traffic flow characteristics and energy consumption are simulated.To explore the role of intelligent network connected vehicles in easing traffic congestion and reducing traffic energy consumption.The main research work is as follows:(1)Based on the traditional traffic flow cellular automata model,this paper introduces the consideration of the driving differences between intelligent network connected vehicles and traditional manual driving vehicles,and establishes a multi-lane mixed traffic cellular automata model with intelligent network connected vehicles.Based on the assumption of the intelligent connected vehicle platoon,the fundamental diagram model is established,and the formation logic and speed control rules of the intelligent connected vehicle platoon in the traffic flow cellular automata model are specified.Numerical analysis and Simulation of the above model are carried out by using MATLAB.The results show that: when the intelligent network connected vehicles exist in the mixed traffic flow in discrete state,with the increase of the proportion of intelligent network connected vehicles,the traffic flow can maintain the growth trend of traffic flow in a larger density area,and can alleviate or even eliminate the congestion phenomenon in the traffic flow.When the intelligent network connected vehicles in the mixed traffic flow exist in the form of intelligent connected vehicle platoons,the analysis of the fundamental diagram model shows that as the proportion of intelligent network connected vehicles and the size of intelligent connected vehicle platoons increase,the maximum traffic capacity of the road can be effectively improved.The simulation results of the cellular automata model show that with the increase of the proportion of intelligent network connected vehicles,the larger the platoon size,the higher the average speed of traffic flow,and the existence of intelligent connected vehicle platoon can eliminate the congestion phenomenon in the traffic flow faster and more thoroughly.However,in the high-density pure network environment,the larger intelligent connected vehicle platoon will have a negative impact on the traffic flow in the form of “mobile bottleneck”.When the platoon size is controlled at 4,it can maximize the positive effect of the intelligent connected vehicle platoon on the traffic flow.(2)Based on the analysis of traffic flow characteristics,this paper establishes the energy consumption model of mixed traffic flow with the participation of intelligent network connected vehicles,and simulates the two organizational forms of intelligent network connected vehicles.The results show that increasing the proportion of intelligent network connected vehicles in mixed traffic flow and shortening the reaction time of intelligent network connected vehicles can effectively reduce the average energy consumption of vehicles in traffic flow.Under the same condition,comparing the performance of two kinds of intelligent network connected vehicles organization mode in reducing the energy consumption of traffic flow,it is found that the vehicle platoon organization mode is more conducive to reducing the average energy consumption of vehicles in traffic flow,but the premise is that the intelligent connected vehicle platoon size should be controlled within a reasonable range,otherwise the continuous increase of platoon size will aggravate the energy consumption in traffic flow. |