Malmö University Publications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Forecasting key performance indicators for smart connected vehicles
Malmö University, Faculty of Technology and Society (TS), Department of Computer Science and Media Technology (DVMT).
Malmö University, Faculty of Technology and Society (TS), Department of Computer Science and Media Technology (DVMT).
Malmö University, Faculty of Technology and Society (TS), Department of Computer Science and Media Technology (DVMT). Malmö University, Internet of Things and People (IOTAP).
Volvo Cars, Gothenburg, Sweden..
2022 (English)In: Advances in artificial intelligence: IBERAMIA 2022 / [ed] A C B Garcia, M Ferro, J C R Ribon, Springer, 2022, Vol. 13788, p. 414-415Conference paper, Published paper (Refereed)
Abstract [en]

As connectivity has been introduced to the car industry, automotive companies have in-use cars which are connected to the internet. A key concern in this context represents the difficulty of knowing how the connection quality changes over time and if there are associated issues. In this work we describe the use of CDR data from connected cars supplied by Volvo to build and study forecasting models that predict how relevant KPIs change over time. Our experiments show promising results for this predictive task, which can lead to improving user experience of connectivity in smart vehicles.

Place, publisher, year, edition, pages
Springer, 2022. Vol. 13788, p. 414-415
Series
Lecture Notes in Artificial Intelligence, ISSN 0302-9743, E-ISSN 1611-3349 ; 13788
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:mau:diva-61083ISBN: 978-3-031-22418-8 (print)ISBN: 978-3-031-22419-5 (electronic)OAI: oai:DiVA.org:mau-61083DiVA, id: diva2:1771063
Conference
17th Ibero-American Conference on Artificial Intelligence (IBERAMIA), NOV 23-25 2022, Cartagena de Indias, COLOMBIA
Available from: 2023-06-20 Created: 2023-06-20 Last updated: 2023-06-29Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Fulltext

Authority records

Mihailescu, Radu-Casian

Search in DiVA

By author/editor
Mihailescu, Radu-Casian
By organisation
Department of Computer Science and Media Technology (DVMT)Internet of Things and People (IOTAP)
Computer Sciences

Search outside of DiVA

GoogleGoogle Scholar

isbn
urn-nbn

Altmetric score

isbn
urn-nbn
Total: 23 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf