Research On Traffic Flow Based On Driver Characteristics

With the continuous development of road traffic in our country and the gradual increase of car ownership,a series of traffic problems,such as traffic congestion,traffic accidents and so on,have been caused while bringing convenience to people's lives.How to plan road construction reasonably to solve traffic problems has become a top priority for urban development.As the core of the road traffic system,driver's behavior will directly affect the overall operation of the traffic.Therefore,it is of great practical significance to carry out traffic flow research on driver's characteristics.By establishing a traffic flow model based on driver's characteristics,this thesis studies the characteristics of road traffic flow considering driver's characteristics,which can provide a theoretical reference for road traffic control departments.By reading a large number of reference at home and abroad,this thesis analyzed the existing research results of traffic flow considering driver factors,which laid a foundation for the research of this thesis.Firstly,in order to analyze the influence of driver's traffic environment on driver's behavior,a cellular automaton model considering driver's psychological field is established by introducing the theory of psychological field and combining the characteristics of different types of drivers.Through numerical simulation,the spatial and temporal characteristics of drivers under different traffic densities are analyzed,and the velocity-density and flow-density characteristics of mixed traffic flow composed of different types of drivers are studied.Finally,the velocity distribution characteristics of vehicles on the road are analyzed.Secondly,traffic flow data acquired by Fudan University in China through video capture show that the vehicles with smaller spacing are not all driving at low speed,that is,"high-speed car-following" phenomenon,but there is no reasonable mathematical model to describe this phenomenon at present.Therefore,this chapter combines the dynamic effect of the front car with the difference of driver's driving behavior,and establishes a high-speed car-following traffic flow model considering the dynamic effect of the front car.Through numerical simulation,the trend of the spatial and temporal characteristics of driver's mixed traffic flow changing with traffic density is studied,and the relationship between speed-flow-density under different radical drivers' proportion is analyzed.Then,the traffic stability of driver's high-speed following is studied by analyzing the velocity fluctuation curve and the head space fluctuation curve of vehicle on the road.Finally,the law of high-speed car-following rate changing with traffic flow density is emphatically analyzed.The validity of the model is verified by comparing with the NGSIM data set abroad and the measured data of Fudan University in China.Finally,the driver's lane-changing behavior on the road is studied.The driver's lane-changing behavior is divided into free lane-changing and forced lane-changing in the ramp inflow area.In the free lane-changing,the movement characteristics of the vehicle in front of the current lane and the target lane are considered,and the random utility theory is introduced to establish the free lane-changing model.In the forced lane-changing in the ramp inflow area,the forced lane-changing is divided into two cases,and the corresponding models are established respectively.Through numerical simulation,the spatial and temporal characteristics of two lanes after driver's lane-changing are analyzed,and the change rule of lane-changing frequency with traffic flow density is studied.Finally,the change rule of road capacity with parallel accelerated lane-changing length in forced lane-changing is analyzed.