Research On Lane-changing Behavior And Driving Assistance System Based On Vehicle-road Coordination

With the development of economic globalization,more and more vehicle industries enter the Chinese market,in addition to the rapid development of China's local vehicle enterprises,the domestic vehicle production and vehicle ownership are increasing year by year.On the one hand,it promotes the development of the transportation industry,bringing great vitality to the development of China's economy,but at the same time,it also increases road traffic pressure and road traffic safety have severe challenges.Driving behavior is the basic behavior of vehicles in the processing of driving.Common driving behavior includes vehicle-following behavior and lane-changing behavior.Lane-changing behavior is more complicated than vehicle-following behavior.It is because drivers need to process and judge lane-changing information according to own conditions and the state of the surrounding vehicles in the processing of driving and make correct lane-changing decisions.Therefore,the driver plays a vital role in the lane-changing process.The lane-changing model aims to study the driver's lane-changing behavior and provide an important theoretical basis for vehicle driving and intelligent transportation.Therefore,the research focus of this paper is to establish a micro-model of lane-changing behavior and study the driver's lane-changing behavior in the lane-changing process.Based on the theory of vehicle-road coordination technology,the paper studies the influence of driver characteristics on lane-changing behavior in lane-changing process of traffic driving behavior.A microscopic model of lane-changing safety distance based on vehicle ellipse model is established,a lane-changing driving assistant system is construct to provide correct road information and accurate lane-changing decision for drivers with different driving characteristics,improving the safety of vehicle lane-changing process,then enhancing the capacity of urban roads and alleviating traffic pressure.The main contents of the paper are as follows:Firstly,the characteristics of lane-changing behavior,the division of lane-changing process and the influence factors of lane-changing behavior,such asvehicle type,road,traffic environment and driver,are analyzed.By analyzing the influencing factors,getting the drivers' lane changing behavior with different driving characteristics,then based on the vehicle ellipse model,the minimum safe distance between the target vehicle and surrounding vehicles before and after the lane change process is explored.According to the different driving characteristics of the lane change vehicle,the lane-changing behavior is divided into two micro-behaviors:acceleration and uniform speed.A microscopic model of lane-changing safety distance with different driving behavior characteristics is established.Secondly,according to the data acquisition methods such as video image monitoring system and GPS large data system,the driving state and the driving information of the surrounding vehicles during lane-changing are obtained,and the driving behavior and characteristic information which meet the requirements of the longitudinal lane-changing are screened out from the huge traffic flow.The micro-model of lane-changing safety distance is calibrated by using the system data,and the model is simulated and verified with the calibrated parameters.The results show that the safety distance model can more truly reflect the lane-changing process of drivers with different driving characteristics.Finally,based on the vehicle-road cooperation technology and the micro-model of lane-changing safety distance,the driver's assistant system platform is established,which includes the vehicle information acquisition module and the road environment information acquisition module.The information collection and data integration of road vehicles and surrounding environment are carried out.The data information is processed and analyzed by the central information processing module,then the correct lane-changing judgment is made according to the micro-model,and the driver's accurate lane-changing decision is given.The simulation results of the assist system show that the urban road traffic fluency is obviously increased,and the road capacity is significantly improved.