Analytics for Maintenance of Transportation in Smart Cities

Adithya Thaduri (), Ajit Kumar Verma () and Uday Kumar ()
Additional contact information
Adithya Thaduri: Luleå University of Technology
Ajit Kumar Verma: Western Norway University of Applied Sciences
Uday Kumar: Luleå University of Technology

A chapter in Quality, IT and Business Operations, 2018, pp 81-91 from Springer

Abstract: Abstract 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.

Keywords: Smart city; Maintenance; Analytics (search for similar items in EconPapers)
Date: 2018
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:prbchp:978-981-10-5577-5_7

Ordering information: This item can be ordered from
http://www.springer.com/9789811055775

DOI: 10.1007/978-981-10-5577-5_7

Access Statistics for this chapter

More chapters in Springer Proceedings in Business and Economics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().