Research On Identifying Important Nodes Of Urban Slow Traffic Network Based On Complex Network Theory

Recently,under the transportation development model of vehicle orientation,many cities have a series of problems such as traffic congestion,environmental pollution and so on.As a low carbon and environmentally friendly mode of travel,the slow traffic is sustainable in the future.Reasonable planning of slow traffic network is of great significance to the development of the city.In recent years,with the development of complex network theory,more and more scholars use complex network theory to study the city traffic problems,and important evaluation of network nodes has gradually become an important research subject.Therefore,complexity of urban slow traffic network and important nodes identification are studied in this paper based on complex network theory.They are as follows.Firstly,basic theory of complex network is introduced,including the definition and matrix representation of graph,the definition and classification of complex network,the characteristic parameter index of weighted network and four typical complex network models.Secondly,the weighted network of urban slow traffic is constructed considering two influencing factors of slow traffic section flow and length.In the form of primary topology and dual topology,the corresponding data matrix is established,the significance of each characteristic parameter index and the logical algorithm of MATLAB implementation are studied in the slow traffic network.Besides,the theoretical analysis of the small world and scale-free characteristics of slow traffic network are made,which lays a theoretical foundation for subsequent empirical research.Thirdly,introducing the concept of multiple neighbor nodes,considering the impact of node attribute and neighbor nodes,selecting the traffic degree and space betweenness as two evaluating indexes,the network importance evaluation model of slow traffic is built based on multiple neighbor nodes.Using ARPA weighted network as experimental data,static and dynamic attack experiments in different evaluation results are carried out respectively.The validity of the model is tested by comparing the changes of network efficiency.Moreover,the two parameters of the index weight and the importance contribution coefficient are discussed.Lastly,taking Jinshan Avenue-Minjiang River-Pushang Road-Western 3rd Ring-Road surrounded area as the research object to empirical analysis,in Cangshan District,Fuzhou City.Using the above proposed identification method,the complex network characteristics of slow traffic network in two topological forms is explored,and the importance evaluation model of slow traffic network based on multiply neighbor nodes is established,and the important intersections in the primary topology and the important roads in the dual topology are identified in the research area,respectively.The research results can not only be used to analyze the complex characteristics of urban slow traffic network,but also construct node importance evaluation model combined with attribute of the slow traffic network,which can identify the important nodes accurately.Through early warning and protection of these important nodes,it is used to enhance network connectivity and invulnerability reliability,guide optimization design and road reconstruction of urban slow traffic network,and provide a realistic basis for urban traffic management and resident trip.