An Identification Method for the Hub Node of Urban Transport Network Based on the Local Modularity
نویسندگان
چکیده
It is a major scientific theoretical significance and practical value that the identification of the hub node in the transport network. This paper presents a new method which can detect the hub node of the urban transportation based on the idea of local modularity measure. Evaluation indicators include node degree, clustering coefficient, peak hour traffic flow. First, apply a complex network of local modularity Societies division method. Second, looking for societies where the node with the largest peak-hour traffic flow .Last, identify the hub nodes in the transport network. Since the algorithm is reflected from the static and dynamic characteristics of the transport network node, it is the Hub node identification in the transport network that is a high degree of accuracy. Through the surrounding junctions along the Chang'an Avenue in Beijing as an example, verify the feasibility of the method.
منابع مشابه
Developing Passenger Hub Location Problem Based on Origin-Destination Trips Derived by Gravity Model (Case Study of Iran's Rail Network)
Iran’s geographical situation, in particular long-distance routes, makes rail transportation to be more attractive and important than the other modes. Since transport cost is the main concern for local and national authorities, Hub location is an important problem in transport planning in which transport industries are looking for selected points to change trains for passengers. In this pap...
متن کاملLink Prediction using Network Embedding based on Global Similarity
Background: The link prediction issue is one of the most widely used problems in complex network analysis. Link prediction requires knowing the background of previous link connections and combining them with available information. The link prediction local approaches with node structure objectives are fast in case of speed but are not accurate enough. On the other hand, the global link predicti...
متن کاملCommunity Detection using a New Node Scoring and Synchronous Label Updating of Boundary Nodes in Social Networks
Community structure is vital to discover the important structures and potential property of complex networks. In recent years, the increasing quality of local community detection approaches has become a hot spot in the study of complex network due to the advantages of linear time complexity and applicable for large-scale networks. However, there are many shortcomings in these methods such as in...
متن کاملMining Overlapping Communities in Real-world Networks Based on Extended Modularity Gain
Detecting communities plays a vital role in studying group level patterns of a social network and it can be helpful in developing several recommendation systems such as movie recommendation, book recommendation, friend recommendation and so on. Most of the community detection algorithms can detect disjoint communities only, but in the real time scenario, a node can be a member of more than one ...
متن کاملEcological and Economic Principles to Improve the Route Network of Urban Transport
The transport system of many Ukrainian cities does not meet the EU standards and requirements. There is a need to improve urban transport networks, to use transport potential efficiently on the basis of environmental logistics and to improve environmental safety as one of the principles of sustainable transport development. The systems model to create an ecologically safe logistics system of pu...
متن کامل