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Data-driven traffic flow : A state-of-the-art report
RISE Research Institutes of Sweden, Digital Systems, Industrial Systems.ORCID iD: 0000-0001-8338-5513
KTH Royal Institute of Technology, Sweden.
KTH Royal Institute of Technology, Sweden.
2021 (English)Report (Other academic)
Abstract [en]

This state-of-the-art report is the first of two reports. Both are the result of a Swedish project, the Swedish Energy Authority’s TENS project, which spanned from 2018-2021. This report lays out the background, related work, state of the art, related projects as well as mapping out the area for the newcomer to the area. Examples are from Sweden due to the available data, as well as the locally installed infrastructure. We dedicate some space to the data gathering process as well as basic traffic flow principles. It should be seen as introductory material to the topic, getting the laymen up to speed in data processing issues arising from using traffic sensors. A second (sister) report contains technical results from our work in the above named Swedish project.

Place, publisher, year, edition, pages
2021. , p. 35
Series
RISE Rapport ; 2021:93
Keywords [en]
Transport ITS, data-driven, traffic flow
National Category
Infrastructure Engineering
Identifiers
URN: urn:nbn:se:ri:diva-57512ISBN: 978-91-89385-83-2 (electronic)OAI: oai:DiVA.org:ri-57512DiVA, id: diva2:1624037
Note

The second report in this serie of two: http://urn.kb.se/resolve?urn=urn:nbn:se:ri:diva-57513

Available from: 2022-01-03 Created: 2022-01-03 Last updated: 2025-09-23Bibliographically approved

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Marsh, Ian

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
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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