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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
Western Norway University of Applied Sciences, Haugesund .
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
2018 (English)In: Quality, IT and Business Operations: Modeling and Optimization / [ed] Kapur P., Kumar U., Verma A., Singapore: Springer, 2018, 81-91 p.Chapter in book (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 urban environment provided a scope for enriched environment that has capability for data-driven methods. 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 provide a base for a sustainable smart city. This work considers an overview of different challenges that utilizes different technologies within a smart city maintenance with respect to 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
Singapore: Springer, 2018. 81-91 p.
Series
Springer Proceedings in Business and Economics, ISSN 2198-7246
National Category
Other Civil Engineering
Research subject
Operation and Maintenance
Identifiers
URN: urn:nbn:se:ltu:diva-65959DOI: 10.1007/978-981-10-5577-5_7ISBN: 978-981-10-5576-8 (print)ISBN: 978-981-10-5577-5 (electronic)OAI: oai:DiVA.org:ltu-65959DiVA: diva2:1146861
Available from: 2017-10-04 Created: 2017-10-04 Last updated: 2017-11-24Bibliographically approved

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