Research On Traffic Flow Feature Analysis And Feedback Control Based On CPS

With the increase of the density of vehicles in the traffic system,the traffic congestion and traffic accidents especially highway vehicle rear end accident happen more frequently.The reason for this situation is normally that the driving system can not respond to changes in external conditions in a timely manner.However,Cyber Physical System provides a way for us to research the traffic problems.Cyber Physical System is a multi-dimensional integrated system which is coupled with the physical world and the cyber world,it can control the physical world in real time.In this paper,CPS is used to couple the traffic physics and traffic information,Using cyber end embedded computing function to quickly process information and provide the operation instruction to physical end,reducing the response delay time in the following process indirectly.CPS can make the driving system taking actions more quickly,restrain or even counteract the traffic jam,and ensure the smooth flow of the traffic.The main work of this paper is as follows:(1)Aiming at the existing Coupled Map Car-Following Model's inherent character and its deficiency.Utilize the delay time of information response in car following model,the concept of balance headway is put forward.And on the premise of the balance headway,the average response delay time is quantitative designed by using the multiple sets of experiments.A new definition of CM was carried out under CPS.The network end which embedded computing function provides the operating instructions to the driving system.At the same time,the state change information of the driving system is feedback to the network side,which forms a typical CPS theoretical analysis.By comparing with the traditional CM,the correctness of the established model is verified.The integration of traffic information and traffic physics plays a significant inhibitory effect on traffic congestion.(2)Considering the effects of multiple vehicle following and feedback control under CPS,The network end embedded computing function can macro control of the multi-vehicle tracking and provides the instruction to the driving system,.And the physical process of the multi-car following model is updated and monitored in real time.The feedback control term is added to the CPS-CM,then form a new model under CPS which is coupled with many vehicles,and the simulation is carried out,the deviation rate is used to show the suppression effect of various feedback factors on traffic congestion,the algorithm indicates the process of interaction between trafficphysics and traffic information effective.(3)CPS is applied to a variety of road scenarios,each one is modeling respectively,and the system stability is analyzed.Then the paper explores seamless switching method for multi-road scene under CPS.The paper studies a variety of car status while running and car following scenes,effectively implements that a single car's micro control and traffic flow's macroscopic control to make the flow smoothing,so as to realize the best effect of traffic jam suppression on the whole.