Ändra sökning
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Reusable road condition information system for traffic safety and targeted maintenance
Luleå tekniska universitet, Institutionen för teknikvetenskap och matematik, Strömningslära och experimentell mekanik.
Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
2017 (Engelska)Ingår i: IET Intelligent Transport Systems, ISSN 1751-956X, E-ISSN 1751-9578, Vol. 11, nr 4, s. 230-238Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

Driver awareness of current winter road conditions (RCs) is known to affect the frequency of accidents due to sudden changes in these conditions. For example, partially icy roads that appear during autumn in northern areas typically result in collisions and ditch runs unless the drivers are generally aware of the situation. Availing motorists who drive under winter RCs of enhanced information is therefore highly desirable to increase their awareness of hazardous driving conditions. Such conditions need to be predicted ahead of time and presented to drivers before they attempt slippery road sections. Moreover, the identification of slippery RCs should quickly trigger targeted road maintenance to reduce the risk of accidents. This study presents a scalable and reusable collaborative intelligent transport system, herein referred to as an RC information system (RCIS). RCIS provides accurate RC predictions and forecasts based on RC measurements, road weather observations, and short-term weather forecasts. The prediction methods in the context of the distributed RCIS have been tested using a prototype implementation. These tests confirmed that these inputs could be combined into useful and accurate information about winter RCs that can be adapted for different types of users.

Ort, förlag, år, upplaga, sidor
IET-Institution of Engineering and Technology , 2017. Vol. 11, nr 4, s. 230-238
Nationell ämneskategori
Kommunikationssystem Data- och informationsvetenskap Teknisk mekanik Medieteknik
Forskningsämne
Experimentell mekanik; Distribuerade datorsystem
Identifikatorer
URN: urn:nbn:se:ltu:diva-62656DOI: 10.1049/iet-its.2016.0122ISI: 000401300200006Scopus ID: 2-s2.0-85019270646OAI: oai:DiVA.org:ltu-62656DiVA, id: diva2:1084280
Projekt
Intelligent Road
Forskningsfinansiär
Interreg Nord
Anmärkning

Validerad; 2017; Nivå 2; 2017-05-16 (andbra)

Tillgänglig från: 2017-03-24 Skapad: 2017-03-24 Senast uppdaterad: 2018-11-20Bibliografiskt granskad

Open Access i DiVA

Fulltext saknas i DiVA

Övriga länkar

Förlagets fulltextScopus

Personposter BETA

Casselgren, JohanBodin, Ulf

Sök vidare i DiVA

Av författaren/redaktören
Casselgren, JohanBodin, Ulf
Av organisationen
Strömningslära och experimentell mekanikDatavetenskap
I samma tidskrift
IET Intelligent Transport Systems
KommunikationssystemData- och informationsvetenskapTeknisk mekanikMedieteknik

Sök vidare utanför DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetricpoäng

doi
urn-nbn
Totalt: 263 träffar
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf