13th Asia Pacific Transportation Development Conference
Data Interconnection Framework of Smart City Transportation Infrastructure
Publication: Resilience and Sustainable Transportation Systems
ABSTRACT
Data of urban transport infrastructure has the characteristics of multiple source, heterogeneity, large quantity, dispersity, and independence. How to efficiently classify, integrate, and interconnect multi-source data has been an urgent problem in the field of transportation infrastructure data processing. To realize the data interconnection of transportation infrastructure under the background of smart city, the Smart City Transportation Infrastructure-Linked Data Framework (SCTI-LDF) is proposed, which combines data activation and multimedia annotation technologies to process and integrate multiple source, heterogeneous, massive, and decentralized data. The overall framework, its functions at each layer, key technologies, and problems to be solved is elaborated. The application scenarios and assumptions of the framework is put forward and its effectiveness is verified by practical engineering case.
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ACKNOWLEDGMENTS
This research was sponsored by Enterprise Technological Innovation and Capability Promotion Project of Shanghai State-owned Assets Supervision and Administration Commission under Grant No. 2014008.
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Information & Authors
Information
Published In
Resilience and Sustainable Transportation Systems
Pages: 697 - 704
Editors: Fengxiang Qiao, Ph.D., Texas Southern University, Yong Bai, Ph.D., Marquette University, Pei-Sung Lin, Ph.D., University of South Florida, Steven I Jy Chien, Ph.D., New Jersey Institute of Technology, Yongping Zhang, Ph.D., California State Polytechnic University, and Lin Zhu, Ph.D., Shanghai University of Engineering Science
ISBN (Online): 978-0-7844-8290-2
Copyright
© 2020 American Society of Civil Engineers.
History
Published online: Jun 29, 2020
Published in print: Jun 29, 2020
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