Research Of Traffic Signal Control In Urban Area Based On Cooperative Vehicle Infrastructure System

With the continuous expansion of urban scale,traffic congestion has become a common problem in large cities,and has brought a series of social problems.In order to solve the increasingly serious problem of urban traffic congestion,the concept of intelligent transportation system is proposed.As one of the most effective methods to solve the problem of urban road congestion,cooperative vehicle infrastructure system,which has been the focus of traffic researchers in various countries.Cooperative vehicle infrastructure system based on wireless communication and sensor detection technology to obtain the effective information of vehicles and roads,establishment of integrated transport system of people,vehicles and road which is based on integrated information exchange between vehicles and vehicles,road and vehicles,complete the interaction between vehicles and roadside infrastructure,make full use of road infrastructure and resources,improve the utilization rate of roads and improve the traffic safety,alleviate traffic congestion.In this paper,the regional traffic control in intelligent transportation system is studied,and focuses on the study of regional traffic signal control in the environment of vehicle road coordination.Mainly completed the following work:(1)firstly,summarizes the development status of regional traffic signal control,focusing on the classification method of regional sub area,puts forward the control cell division algorithm based on state analysis in the environment of the cooperative vehicle infrastructure,utilize the travel time of road network as the main factors,combined with the connectivity between intersections,through setting the congestion threshold,determining the key intersection,and the subarea is divided into the core.(2)this paper studies the regional control of the vehicle road collaborative environment,and proposes the control strategy of the regional traffic signal based on K means clustering,get accurate information of the vehicle through the detection technology under the environment of the cooperative vehicle infrastructure system,and the time required for each vehicle to reach the intersection is calculated,use the K means clustering divided the time into two categories,then use the time to adjust the green time,while waiting for the longest phase detection phase as the next pass.(3)establish the priority signal control environment of the cooperative vehicle infrastructure,utilize the mobile device like the mobile phone as the users,and also use the Baidu map to obtain vehicle location,real-time monitoring of vehicle direction and speed,through the adjustment of the nearest neighbor traffic signal,so as to achieve the priority operation of some vehicles,and in Beijing,Chang’an Avenue,carried out actual project verification.