Your browser doesn't support javascript.
loading
Advancing investigation of automated vehicle crashes using text analytics of crash narratives and Bayesian analysis.
Lee, Steve; Arvin, Ramin; Khattak, Asad J.
Affiliation
  • Lee S; Department of Civil and Environmental Engineering The University of Tennessee, Knoxville 851 Neyland Drive, Knoxville, TN 37996, USA. Electronic address: dlee99@vols.utk.edu.
  • Arvin R; Department of Civil and Environmental Engineering The University of Tennessee, Knoxville 851 Neyland Drive, Knoxville, TN 37996, USA. Electronic address: rarvin@vols.utk.edu.
  • Khattak AJ; Department of Civil and Environmental Engineering The University of Tennessee, Knoxville 851 Neyland Drive, Knoxville, TN 37996, USA. Electronic address: akhattak@utk.edu.
Accid Anal Prev ; 181: 106932, 2023 Mar.
Article in En | MEDLINE | ID: mdl-36580765
Subject(s)
Key words
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Automobile Driving / Accidents, Traffic Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Accid Anal Prev Year: 2023 Document type: Article Country of publication:
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Automobile Driving / Accidents, Traffic Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Accid Anal Prev Year: 2023 Document type: Article Country of publication: