Environment Perception And Simulation Research Of Intersection Based On Cyber-Physical System

With the ownership of our country’s car increased year by year,this means a great convenience to people’s lives.But at the same time,especially in urban road intersection,we can see that congestion and accidents happens everywhere,and it’s restricting the development of society.At present,we generally take a predetermined method of signal cycle and phase to control traffic,this approach can effectively reduce the number of accident and congestion caused by driver’s grab-way,while it did not consider the interaction between vehicle and vehicle or vehicle and facilities,so it can not adjust the signal light according to traffic numbers.Cyber-Physical System(CPS),is a highly integrated system comprising computing,communications and control processes,by embedding sensors and communications equipment in the physical devices to achieve the perception of the external environment,realize reliable data transmission and intelligent information processing,thus it can realize real-time control of the physical processes through feedback mechanisms.Currently,CPS is carrying out extensive research and applications in intelligent traffic control and security,advanced automotive systems,which means a great significance for improving road safety.Aiming at vehicle accessing control of intersection,and consider the physical process can communicate to exchange the others’ state information to realize feedback control,this paper studies the following contents:1)Take the no-signal-light intersection as the research object,we propose a intelligent cooperative accessing control method.First,we designed the system framework of this method,then we analysis the required real-time traffic information obtained by the vehicle,and consider the time-space conflict based on the above information,third we set the priority rules and speed control algorithm to avoid the potential conflicts risk.2)As the signal-controlled intersection,considering the drawbacks of fixed timing method,we designed an adaptive fuzzy control strategy.The method first set the initial phase and cycle of signal lamp,then take the number of vehicle of green phase and remaining green time as input to design the first-stage fuzzy controller,take the influence of green light and the number of vehicle of red phase as input to design the second-stage fuzzy controller,finally the control center notice every car and signal light the signal change obtained by fuzzy controller.3)We made an analysis of different traffic simulation software and chose the appropriate to verify our ideas.On PreScan-Simulink,we tested the intelligent cooperative accessing control method,and the experimental results verified the feasibility of the method.The adaptive fuzzy control method is validated on the Vissim platform,after comparing with the traditional method,the data verified the superiority of our method.