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Assessment of a prediction-based strategy for mixingautonomous and manually driven vehicles in an intersection
KTH, School of Industrial Engineering and Management (ITM).
KTH, School of Industrial Engineering and Management (ITM).
2017 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Place, publisher, year, edition, pages
2017.
National Category
Engineering and Technology
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URN: urn:nbn:se:kth:diva-217843OAI: oai:DiVA.org:kth-217843DiVA, id: diva2:1158060
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Available from: 2017-11-17 Created: 2017-11-17 Last updated: 2017-11-17Bibliographically approved

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fulltext(29633 kB)181 downloads
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CiteExportLink to record
Permanent link

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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
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  • Other locale
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Output format
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