Division Of Intelligent Road Network Traffic Control Sub-areas And Correlation Influence

In order to better implement control strategies on the road network of intelligent transportation cities and effectively solve the current increasingly serious traffic congestion in big cities,the current physical conditions of roads and regional restrictions are not limited to the basis of urban road network division.A large number of scholars have established related models through cluster analysis methods and complex network analysis methods to explore in depth the methods that can more reasonably divide the urban road network,as the theoretical basis for effectively alleviating the current congestion and implementing corresponding control strategies.However,most of the existing studies are based on the traffic flow data to simply divide the road network,and then use some mathematical theoretical methods to adjust the boundary of the district.However,in the process of zoning and adjustment,the congestion state is not regarded as an important basis for dynamic propagation.Therefore,the innovation point of this paper is to consider how to divide control subareas in the road network more reasonably and effectively under the condition of traffic congestion propagation under the influence of time and space.Firstly,starting from the basic clustering partitioning characteristics of the road network,the paper compares and analyzes the clustering differences between K-means algorithm based on division and DBSCAN algorithm based on density in dividing the road network.In this paper,the complex network characteristics of urban road network are analyzed,and some defects of the traditional algorithm are improved by combining with the network topology structure.The results of road network division are obtained by taking the correlation degree of key intersections as the zoning index,and the correlation effects among zoning are discussed.By establishing a mathematical model which is similar to the spread of virus,the paper further puts forward an effective method to control the spread of congestion.On the basis of the above,the feedback mechanism for the boundary adjustment under the condition of congestion propagation is established to realize the adjustment and redistribution of the boundary sections.In this paper,the spatial-temporal congestion identification index model of the road network is established to analyze the oversaturation of the urban network by obtaining the average road speed based on each vehicle position,and the average congestion intensity and duration of the road network can be obtained.In this paper,the congestion propagation in the road network constitutes a feedback mechanism for the adjustment of the subdivision boundary,and puts forward the corresponding adjustment method for the adjustment and redistribution of the subdivision boundary sections,so as to minimize the congestion intensity and duration of the entire road network.The simulation results show that the congestion duration and dissipation time of the whole road network decrease,and the road network can recover to the stable state of normal traffic flow more quickly,and improve the traffic efficiency of the road network.