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Analytics for Maintenance of Transportation in Smart Cities
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.ORCID iD: 0000-0002-1938-0985
Stord/Haugesund University College.
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
Number of Authors: 3
2015 (English)Conference proceedings (editor) (Refereed)
Abstract [en]

Cities typically face a wide range of management and maintenance problems. They are complex environments in which digital technologies are more and more pervasive; this digitization of the urban space has led to a rich ecosystem of data producers and data consumers. The connections and exchange of data increase, and the need for data acquisition, processing and management become an extremely important added value to the community. The inclusion of digitization and incorporation of predictive analytics provides a base for a sustainable smart city. This work considers an overview of different challenges that utilizes different technologies for within a smart city maintenance with respect to the transportation. A conceptual framework is proposed to handle the generated data for decision for control, monitoring, fault diagnosis and maintenance of more and more complex systems.

Place, publisher, year, edition, pages
Delhi: Springer, 2015. , 6 p.
Keyword [en]
Smart cities, maintenance, analytics
National Category
Other Civil Engineering
Research subject
Operation and Maintenance
Identifiers
URN: urn:nbn:se:ltu:diva-60615OAI: oai:DiVA.org:ltu-60615DiVA: diva2:1048809
Conference
7th International Conference on Quality, Reliability, Infocom Technology and Business Operations (ICQRITBO'2015), Delhi, India, Dec 28-30, 2015
Available from: 2016-11-22 Created: 2016-11-22 Last updated: 2016-12-05Bibliographically approved

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