Research On Dedicated Lane Setting Of Internet Of Vehicles Based On Cellular Automata

With the realization of 5G,the proportion of connected vehicles will gradually increase in the future traffic composition.The mixed state of connected vehicles and non-connected vehicles will inevitably exist for a long time,which makes it difficult to realize the advantages of connected vehicle technology in the short term.At the same time,under the existing urban traffic operation environment,public transportation vehicles are often delayed due to the influence of other social vehicles,and their priority has not been fully exerted.In view of this,this paper proposes to use dedicated lanes to simultaneously solve the passage of bus vehicles and connected vehicles,make full use of road resources,and hope to provide an economical and effective means for alleviating urban traffic problems.First,as the traffic flow gradually evolves from being dominated by non-connected vehicles to being dominated by connected vehicles,the driving characteristics of vehicles have changed,resulting in the existing research results of traffic flow characteristics being no longer applicable.Based on the analysis of the characteristics of mixed traffic flow,this paper proposes a strategy for setting dedicated lanes in the Internet of Vehicles environment.Secondly,the construction of cellular automaton model is an important research method in the field of transportation.Whether the model can accurately simulate the actual traffic flow will affect subsequent research.This paper considers the similarity of the driver's response to the brake lights and the Io V system,analyzes the driving behavior changes and traffic characteristics of various types of vehicles in the Io V environment,and improves the brake light model to establish a traffic flow suitable for the Io V environment.Cellular automaton model,and according to the traffic strategy,a multi-lane model with dedicated lanes for connected vehicles is constructed.Finally,use MATLAB to develop simulation programs,simulate the output of traffic data,analyze the data using statistical methods,study the setting method and setting method of dedicated lanes for connected vehicles in different roads and traffic environments,and select evaluation indicators to evaluate the benefits of dedicated lane settings.The simulation results show that the constructed cellular automaton model can reproduce the traffic flow state before setting the dedicated lane of the connected vehicle,and can get the specific setting method of the dedicated lane of the connected vehicle.The numerical simulation results show that the delay of connected vehicles is reduced by 78.8% after setting the dedicated lane of connected vehicles,the traffic volume is increased by 4.8% when the saturation is basically unchanged,and the traffic volume is increased after setting the dedicated lane of networked vehicles borrowing bus lanes 13.1%,increased vehicle speed,and effectively improved road operation efficiency.The research in this paper has important theoretical significance for the utilization of road resources and the development of cellular automaton model in the field of transportation,also has important practical significance the the advantages of Internet of Vehicles and the development of intelligent transportation.