Using hierarchical Bayesian binary probit models to analyze crash injury severity on high speed facilities with real-time traffic data
- Author
- RONGJIE YU1 ; ABDEL-ATY, Mohamed2
[1] School of Transportation Engineering, Tongji University, 4800 Cao'an Road, 201804 Shanghai, China
[2] Department of Civil, Environmental and Construction Engineering, University of Central Florida, Orlando, FL 32826-2450, United States - Source
Accident analysis and prevention. 2014, Vol 62, pp 161-167, 7 p ; ref : 1/4 p
- ISSN
- 0001-4575
- Scientific domain
- Hygiene and public health, epidemiology, occupational medicine; Transportation
- Publisher
- Elsevier, Kidlington
- Publication country
- United Kingdom
- Document type
- Article
- Language
- English
- Author keyword
- Bayesian inference Binary probit model Crash injury severity Hierarchical probit model Random effects
- Keyword (fr)
- Analyse statistique Blessure Effet aléatoire Equipement collectif Inférence Lésion Modèle Temps réel Trafic Traumatisme Vitesse déplacement
- Keyword (en)
- Statistical analysis Injury Random effect Facility Inference Lesion Models Real time Traffic Trauma Speed
- Keyword (es)
- Análisis estadístico Herida Efecto aleatorio Equipamiento colectivo Inferencia Lesión Modelo Tiempo real Tráfico Traumatismo Velocidad desplazamiento
- Classification
- Pascal
- 002 Biological and medical sciences / 002B Medical sciences / 002B30 Public health. Hygiene-occupational medicine / 002B30A Public health. Hygiene / 002B30A03 Prevention and actions / 002B30A03C Miscellaneous
- Discipline
- Public health. Hygiene-occupational medicine
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 28293170
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1016/j.aap.2013.08.009 
https://dx.doi.org/10.1016/j.aap.2013.08.009
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