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Leading pedestrian intervals - Yay or Nay? A Before-After evaluation of multiple conflict types using an enhanced Non-Stationary framework integrating quantile regression into Bayesian hierarchical extreme value analysis.
Arun, Ashutosh; Lyon, Craig; Sayed, Tarek; Washington, Simon; Loewenherz, Franz; Akers, Darcy; Ananthanarayanan, Ganesh; Shu, Yuanchao; Bandy, Mark; Haque, Md Mazharul.
Afiliação
  • Arun A; Transportation Engineer, Advanced Mobility Analytics Group, Brisbane, QLD 4000, Australia.
  • Lyon C; General Manager (North America), Advanced Mobility Analytics Group, Ottawa, ON, Canada.
  • Sayed T; Professor, Department of Civil Engineering, University of British Columbia, Vancouver, Canada.
  • Washington S; Chief Executive Officer and Managing Director, Advanced Mobility Analytics Group, Brisbane, QLD 4000, Australia.
  • Loewenherz F; Mobility Planning and Solutions Manager, City of Bellevue, Washington, Bellevue, WA, USA.
  • Akers D; Senior Transportation Engineer, City of Bellevue, Washington, Bellevue, WA, USA.
  • Ananthanarayanan G; Researcher at Microsoft Research, Seattle, USA.
  • Shu Y; Principal Researcher at Microsoft, Redmond, WA, USA.
  • Bandy M; Regional Solutions Lead for Transportation Planning (America West Region), Jacobs Engineering, Seattle, USA.
  • Haque MM; Queensland University of Technology, School of Civil and Environmental Engineering, Brisbane, QLD 4000, Australia. Electronic address: m1.haque@qut.edu.au.
Accid Anal Prev ; 181: 106929, 2023 Mar.
Article em En | MEDLINE | ID: mdl-36571971
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Acidentes de Trânsito / Pedestres Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Acidentes de Trânsito / Pedestres Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article