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
Utvärdering av ett stegvist förarutbildningssystem, STEFUS: fem kompetensers bidrag till Vägverkets utredningsarbete, 1998-1999
Swedish National Road and Transport Research Institute.
1999 (Swedish)Report (Other academic)
Place, publisher, year, edition, pages
Linköping: Statens väg- och transportforskningsinstitut., VTI särtryck 332 , 1999.
Series
VTI särtryck, ISSN 1102-626X
Keyword [en]
Swedish, Sweden, Driver training, Evaluation, Measurement, Specifications, Driving licence, Education
Research subject
Road: Traffic safety and accidents, Road: Driver training and road user education
Identifiers
URN: urn:nbn:se:vti:diva-4865OAI: oai:DiVA.org:vti-4865DiVA: diva2:673694
Available from: 2013-12-03 Created: 2013-12-03 Last updated: 2013-12-03

Open Access in DiVA

fulltext(34013 kB)0 downloads
File information
File name FULLTEXT01.pdfFile size 34013 kBChecksum SHA-512
7fa9406b689aa8754bf5cecc7226bfee1297a2679318d83741cd81f06d99354eab2fb2eb8800d1f39fb5ffcbcd3c14352d31b4c0114b73c57e307188078ae8d0
Type fulltextMimetype application/pdf

Search in DiVA

By author/editor
Berg, Hans-Yngve (red.)
By organisation
Swedish National Road and Transport Research Institute

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 11 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