Study On Traffic Flow Characteristics And Its Model Based On Molecular Dynamics

With the continuous development of the transportation industry,the number of motor vehicles has been increasing rapidly.The uncontrolled use of motor vehicles has caused a series of traffic problems,and the road network traffic pressure has become increasingly severe.In view of the prominent traffic problems,the government has tried many ways to solve it.But none of this has fundamentally alleviated the worldwide problem of traffic congestion.On the one hand,the traffic system is very complex and the substantive problems can not to be solved only from a single level.Therefore,it is necessary to consider various factors systematically and carry out scientific and effective comprehensive management.In addition,the traffic flow theory and the derivative of the various control methods of traffic management,there are inevitable defects,urgent excavation of more effective and better reflect the traffic flow theory of traffic flow in nature to guide future traffic development.Study of traffic flow theory is mainly divided into two aspects of macroscopic and microscopic.The operation characteristics of macro traffic flow must be closely related to the operation of individual micro vehicles,therefore,microscopic traffic driving behavior characteristics become the focus of research.As individual differences exist,the research results of correlation,car following model and lane changing model provide important theoretical basis for traffic simulation,traffic safety and intelligent driving.In this paper,the molecular dynamics theory,the vehicle road system following the lane changing behavior as the research object,the function of interaction potential between the vehicle and the analysis,by establishing molecular inter vehicle following and lane changing model to further explore the molecular and microscopic mechanism of the effect of vehicle driving behavior of vehicle operation concept on the macro,in order to improve traffic flow stability,provide a theoretical basis and system security application to ease traffic congestion and collaborative road vehicles driving technology.The main content of this paper is divided into the following four aspects:In the first part,the research of vehicle driving behavior is reviewed.According to the safety distance,fuzzy reasoning,cellular automaton theory in the three way of car following and lane changing behavior modeling system,analyzes the influencing factors of vehicle driving behavior under different theoretical basis,summary and analysis of different modeling methods,provides a theoretical basis for the following study of molecular dynamics.In the second part,a molecular following model and lane changing model are established.Using molecular dynamics as the theoretical basis,on the car following and lane changing system,construct the interaction between vehicles potential function and effect analysis of micro vehicle driving behavior on the macro traffic flow,to the needs of the safe distance and the desired speed as the main factors,the decision mechanism of inquiry vehicle driving behavior,vehicle acceleration molecular model.In the third part,the traffic state of macro traffic flow is analyzed by using large traffic data,and the validity of the model is validated.In the large video data environment,the traffic flow is analyzed and the fluctuation characteristics of acceleration are obtained.The parameters of the car following model are calibrated according to the measured data.The simulation results show that the car following model is more stable and can simulate the actual traffic driving behavior better.In the fourth part,a vehicle lane cooperative driving assistant system is built based on the molecular following model,and the system is simulated and validated.