Research About Traffic Control Method Based On Vehicle Infrastructure Cooperative Technology

With the development of mobile communication technology and automatic control technology,intelligent transportation has gradually become a major trend in the development of traffic field.At the same time,it also provides new solutions to alleviate traffic problems in various countries.The Intelligent Vehicle Infrastructure Cooperative technology is an important direction.Given that the urban pattern has been established and urban land has become tense as the urban population has increased,the way of widening roads is more tedious and expensive,so the government is more hopeful to control the excessive growth of urban population and vehicles and with more efficient signal control system.The traditional signal control system is limited to the technical level of the past a little shortage,for example,not enough real-time,automation and so on,its effective operation needs a lot of manpower and material resources.Therefore,how to improve the efficiency of the signal control system will be of great significance.The characteristics of Intelligent Vehicle Infrastructure Cooperative can solve this problem well.In this paper,combined with the Intelligent Vehicle Infrastructure Cooperative technology to ameliorate the traffic control system for the shortcomings of the traditional signal control system in obtaining vehicle information and the lack of automation,mainly from the following two aspects:First,according to the environment of the Intelligent Vehicle Infrastructure Cooperative,the paper study the changes of traffic flow characteristics.Firstly,the microscopic parameters that reflect the change of traffic flow,namely,the headway time,are selected.And through experimental tests,it is concluded that the headway distance will be smaller under the Intelligent Vehicle Infrastructure Cooperative environment Based on this,to further qualitatively study the change of the correlation model curve of the three elements of traffic flow(speed,density and flow),to demonstrate the influence of the traffic flow under this environment from the microcosmic point of view,and to further make the most basic paving for the study of the signal control method.Second,based on the change of traffic flow characteristics,the improvement of traffic signal control method is studied under the Intelligent Vehicle Infrastructure Cooperative environment.Firstly,two kinds of control systems are introduced,which are based on queuing model and the choice of timing parameters.The representative SCAT system and UTC-SCOOT are used as examples to illustrate the characteristics of the two control systems.It is proposed that the Intelligent Vehicle Infrastructure Cooperative technology can be used to improve poor control effect due to single data,incompleteness,and lack of automation,etc,and by Baidu in Dalian with the non full sample volume of the UTC-SCOOT system as the carrier data to making some tests and to getting actual vehicle trajectory data.It is illustrates the important role of multidimensional data in optimizing traffic control.At the end of this paper,the traffic simulation software VISSIM is used to build the road network environment under the Intelligent Vehicle Infrastructure Cooperative and the simulation platform is built together with the UTC-SCOOT real-time adaptive signal control system.Through real-time acquisition of vehicle multidimensional data,the data is converted into the optimal modeling parameter value of the control system(STOC,QCMQ,JNYT,SLAG,ELAG,DFOF).It is updated in real time according to the rules of traffic flow.The simulation results show that this method can effectively reduce the delay of the road network,and the real-time performance is better.