How the choice of safety performance function affects the identification of important crash prediction variables.

Wang, Ketong; Simandl, Jenna K; Porter, Michael D; Graettinger, Andrew J; Smith, Randy K

Wang, Ketong; Simandl, Jenna K; Porter, Michael D; Graettinger, Andrew J; Smith, Randy K.

Afiliação

Wang K; Department of Information Systems, Statistics, and Management Science, The University of Alabama, USA. Electronic address: kwang18@crimson.ua.edu.
Simandl JK; Department of Civil, Construction, and Environmental Engineering, The University of Alabama, USA.
Porter MD; Department of Information Systems, Statistics, and Management Science, The University of Alabama, USA.
Graettinger AJ; Department of Civil, Construction, and Environmental Engineering, The University of Alabama, USA.
Smith RK; Department of Computer Science, The University of Alabama, USA.

Accid Anal Prev ; 88: 1-8, 2016 Mar.

Article em En | MEDLINE | ID: mdl-26710265

Assuntos

Acidentes de Trânsito/estatística & dados numéricos; Planejamento Ambiental/estatística & dados numéricos; Modelos Estatísticos; Alabama; Humanos; Modelos Lineares; Modelos Logísticos; Modelos Teóricos; Distribuição de Poisson; Segurança; Meios de Transporte

Palavras-chave

Boosted regression trees; Crash frequency; Intersection characteristic importance; Non-signalized intersections; Safety performance functions

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Acidentes de Trânsito / Modelos Estatísticos / Planejamento Ambiental Idioma: En Ano de publicação: 2016 Tipo de documento: Article

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