International Conference on Transportation and Development 2020
Multi-Feature Fusion Identification of Important Nodes in Traffic Network
Publication: International Conference on Transportation and Development 2020
ABSTRACT
Different modeling and analysis methods describe different characteristics of the traffic network and lead to different conclusions for the identification of important road sections and intersections. In this paper, the road network and bus network of Langfang city are integrated to model the composite traffic network, and the actual traffic flow data are added to analyze. A bioinformatics approach called SPRING is introduced to determine the importance of certain nodes. This method gives the ranking result of node importance with a combination of various characteristics, which include the similarity of network characteristics and traffic conditions between certain nodes and others. Through comparing the node importance of multi-feature fusion and the node importance of single traditional network characteristic, it is concluded that multi-feature fusion method has the feasibility, advantages, and disadvantages in identification of important nodes and shows effectiveness when considering the real traffic situation and the demand of traffic analysis.
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Information & Authors
Information
Published In
International Conference on Transportation and Development 2020
Pages: 169 - 180
Editor: Guohui Zhang, Ph.D., University of Hawaii
ISBN (Online): 978-0-7844-8315-2
Copyright
© 2020 American Society of Civil Engineers.
History
Published online: Aug 31, 2020
Published in print: Aug 31, 2020
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