Research On Congestion State Recognition And Control Subarea Method Of Commercial District Road Network

The normal congestion phenomenon of the commercial district road network in Chongqing main city is presented at the morning and evening peak period.This paper takes the real-time road condition data released by Map Network company as the background,analyzes the propagation rule of the adjacent sections as the cut-in point,through constructing the congestion diffusion model of the road network and using Pearson correlation coefficient to realize the recognition and quantification of the systemic congestion state of the road network.At the same time,based on the current real-time road condition data has a deeper potential and a wide range of application prospects,in order to fill the use of real-time road condition data as traffic management departments to formulate measures to reduce the basic data research blank,this paper presents a real-time congestion based on the commercial district t road network dynamic control subarea method.Firstly,this paper is based on real-time road condition map of traffic running state evolution process,with the help of the Gao De Map API platform and the Python software program to crawl t real-time road condition data of the commercial district road network,the congestion diffusion model of the road network is constructed by analyzing the congestion propagation rule between a single node and using Matlab software to achieve the model of the algorithm programming.In this paper,the congestion diffusion model of model output at each time is analyzed,and the largest congestion diffusion range is called the Systemic congestion basic graph,and the corresponding state is called Systemic congestion.By means of the number of sections with congestion propagation in the basic graph of systemic congestion and using Pearson correlation coefficient to calculate the congestion propagation correlation as a double quantization index of the systemic congestion degree,the systemic congestion in the morning and evening peak period is quantitatively analyzed and the Limit systemic congestion state is determined.Finally,the Limit Systemic congestion basic graph is obtained.Secondly,this paper is based on the comparison between the congestion situation of real-time road condition map at different time and the similarity degree of the Limit systematic congestion state,a fast recognition method for dynamic congestion degree of the commercial district road network road network is proposed,and the relationship between congestion propagation and the dynamic change of control subarea in the commercial district road network is analyzed qualitatively.On this basis,the dynamic partitioning process of the road network control subarea is summarized.At the same time,considering the relative stability of the partition range under the condition of the change of the similarity degree,the boundary range of the adjacent sections based on the real-time road condition crawl is defined,and the results of the two methods are compared,it is proved that the method based on the average travel speed of adjacent sections is more practical and convenient.Finally,this paper presents the systemic congestion recognition method of the commercial district road network and the partition method based on the dynamic control of congestion degree in the road network of Yangjiaping commercial district in the main city of Chongqing,to verify the applicability and scientificity of the relevant models and methods.