Research On Traffic Information Processing Technology And Signal Control Method Under The Condition Of Mixed Network Of Intelligent Networked Vehicles And Non-networked Vehicles

As one of the important technical means for the development of intelligent transportation systems,vehicle networking has become a hot topic of current research.In the process of popularization of the Internet of Vehicles,the state of mixed vehicles and non-networked vehicles is a necessary stage,and will be at this stage for a long time.Therefore,this paper develops and designs the vehicle network simulation environment on the platform of the miniature smart car by researching the traffic scene and the network simulation architecture in the intelligent network environment.On this basis,the traffic information processing technology and signal timing method under the mixed state of networked and non-networked vehicles are studied.The main research contents and results are as follows:(1)Simulation framework of vehicle road coordination systemResearch on vehicle-road coordination system simulation,based on the physical framework and logic framework of the simulation system,under the HLA distributed simulation framework,realize key technologies such as vehicle-to-vehicle communication and human-car interaction,reasonably connect software and hardware,and develop vehicle network simulation system.Interface specification for intermodule interaction requirements.(2)Traffic information processing technology under the mixed state of intelligent networked vehicles and non-networked vehiclesAiming at the mixed state of networked and non-networked vehicles,a method based on Kalman filtering for urban road traffic state estimation is proposed.Combined with the operating characteristics of intelligent networked vehicles and non-networked vehicles,the vehicle driving behavior model under the mixed conditions of networked and non-networked vehicles is proposed and simulated in the simulation environment.Based on this,a neural network is established.The urban road traffic flow density and average vehicle speed estimation model based on kalman filtering method are classified according to different mixed traffic conditions,and the traffic information processing technology under the mixed state of new intelligent networked vehicles and nonnetworked vehicles is proposed.(3)Traffic signal control method under mixed state of networked and nonnetworked vehiclesCombined with the results of existing traffic signal control research at home and abroad,a single intersection signal control model based on the theory of the pluggable gap is proposed,which is suitable for mixed control of different proportions of networked and non-networked vehicles.A DSDS-based strategy crossover is proposed.The port signal coordination control model optimizes the timing of the intersection signal from the traffic efficiency of the trunk intersection;based on the control framework of Chapter 2,the simulation software VISSIM software is redeveloped to verify the single point intersection and the trunk intersection respectively.The established control model shows that the control based on the pluggable gap is better than the induction control.The DSDS trunk coordinated control model is superior to the timing control and MAXBAND coordinated control.(4)Research on traffic signal control method under network connectionThe intelligent networked vehicle itself has independent environmental awareness,and uses sensor fusion technology to provide more real and reliable road environment information for intelligent networked vehicles.Then,using simulation methods combined with signal control technology to improve the overall traffic capacity of the road network,equipped with simulation The environment is also a core component of the intelligent transportation system and an important node of the vehicle networking system.The proposed traffic sign perception can identify various traffic signs on both sides of the road,such as speed limit,curve,etc.;traffic condition perception can detect road traffic congestion,whether traffic accidents occur,etc.,so that the vehicle can choose an unobstructed route;Vehicle perception can detect the vehicle in front of,behind,and side of the vehicle to avoid collisions;traffic signal perception can automatically identify traffic lights at intersections and intersections,and efficiently reduce road delays through intersections and intersections,combined with multiple perceptions and information fusion.Finally,wireless communication and information exchange between vehicles,roads,pedestrians,service platforms and the like are realized through the in-vehicle information terminal.A single point signal control strategy and a trunk coordinated control strategy in a fully networked environment are proposed.