| The problem of road traffic congestion is currently the bottleneck of urban development.Relieving road traffic congestion and improving traffic efficiency is a major problem in the field of transportation.Advocating public transport is an effective means to alleviate traffic congestion and is also a key target for sustainable transportation.At present,complex networks have achieved certain research results in the research on the topological characteristics and reliability of traffic and public transportation networks.However,while the clustering analysis of the topological characteristics indicators is lacking,the research rarely involves the identification of key stations and road segments.There is also a lack of research on taking detours.This study takes the urban transit network of Huangdao District,Qingdao,as the case.Based on the Space L method,the urban transit load network model is constructed with the reciprocal bus interval as the weight.According to the characteristics of traffic flow,the network is divided into three networks:the morning rush hours,the evening rush hours and the flat rush hours.The distribution pattern of the topological characteristics of the urban transit network in Huangdao District by time period,the identification of key nodes and sections,and the design of the detour scheme after the station fails.Firstly,a model for analyzing the topological characteristics of the urban transit network based on the Lorzen curve is constructed.Through the study of node degree,second-order node degree and centrality index,it is concluded that the urban transit network in Huangdao district has typical small world and scale-free.For the stations with the same ranking in each time period,the value of dot degree center is the morning rush hours>the evening rush hours>the flat rush hours,and the stations with the highest ranking are mainly distributed in the downtown area and the new planning area at the edge of the city.Secondly,the topology network and load network of urban transit network are established by using Space L method.In the topological network,the local importance of the nodes was measured by the network local concentration degree.The local edge weight of the network was the product of the network local concentration degree of two nodes.The network cohesion change rate was used to measure the global importance of the edge.Integrating local and global characteristics of networks,that define the edge weight of transit topological network as the product of the local edge weight and the network cohesion change rate.And the loaded model of the urban transit network was constructed with the reciprocal bus departure time interval as the weight.According to the characteristics of traffic flow,the network was described as three different time slots.The key nodes and road sections identification algorithm of the transit network based on Hadamard product was proposed,the joint edge of node sort vector and node sort vector are obtained.Taking the urban transit network in Huangdao Distric,Qingdao City as a case,the key nodes and road sections are identified,and the corresponding optimization management scheme is proposed for different types of key stations and sections.Finally,on the basis of the study of topological characteristics,the optimization bypass scheme for failed station was designed;The study takes Huangdao District of Qingdao City as an case to study the reliability of the model.Research shows that the urban transit network model in Huangdao District of Qingdao City has obvious small-world characteristics,the top ranking stations with node degree value and centrality index are mainly distributed in the new urban edge planning area and the urban center area.Selecting the top 10 bus stations with node degree value as the failure node for optimization analysis,the results show that the average shortest path length of the optimized network decreases,the global efficiency of the network increases,and the optimized scheme is reliable.. |
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