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Predicting interstate motor carrier crash rate level using classification models.
Liu, Jundi; Boyle, Linda N; Banerjee, Ashis G.
Affiliation
  • Liu J; Industrial & Systems Engineering, University of Washington, Seattle, WA 98195, USA.
  • Boyle LN; Industrial & Systems Engineering, University of Washington, Seattle, WA 98195, USA; Civil & Environmental Engineering, University of Washington, Seattle, WA 98195, USA. Electronic address: linda@uw.edu.
  • Banerjee AG; Industrial & Systems Engineering, University of Washington, Seattle, WA 98195, USA; Mechanical Engineering, University of Washington, Seattle, WA 98195, USA.
Accid Anal Prev ; 120: 211-218, 2018 Nov.
Article in En | MEDLINE | ID: mdl-30170295

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Safety / Accidents, Traffic / Safety Management / Motor Vehicles Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Country/Region as subject: America do norte Language: En Journal: Accid Anal Prev Year: 2018 Document type: Article Affiliation country: Estados Unidos

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Safety / Accidents, Traffic / Safety Management / Motor Vehicles Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Country/Region as subject: America do norte Language: En Journal: Accid Anal Prev Year: 2018 Document type: Article Affiliation country: Estados Unidos