Analysis of traffic accident injury severity on Spanish rural highways using Bayesian networks-Reference-Cited by-同舟云学术

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Analysis of traffic accident injury severity on Spanish rural highways using Bayesian networks

Published:2011-01 Issue:1 Volume:43 Page:402-411
ISSN:0001-4575
Container-title:Accident Analysis & Prevention
language:en
Short-container-title:Accident Analysis & Prevention

Author:

de Oña Juan,Mujalli Randa Oqab,Calvo Francisco J.

Publisher

Elsevier BV

Subject

Public Health, Environmental and Occupational Health,Safety, Risk, Reliability and Quality,Human Factors and Ergonomics

Reference26 articles.

1. Analysis of driver injury severity levels at multiple locations using ordered probit models;Abdel-Aty;Journal of Safety Research,2003

2. Development of artificial neural network models to predict driver injury severity in traffic accidents at signalized intersections;Abdel wahab;Transportation Research Record,2001

3. Using logistic regression to estimate the influence of accident factors on accident severity;Al-Ghamdi;Accident Analysis and Prevention,2002

4. The independent contribution of driver, crash, and vehicle characteristics to driver fatalities;Bédard;Accident Analysis and Prevention,2002

5. Bouckaert, R.R., 1995. Bayesian Belief Networks: From Construction to Inference. Ph.D. Thesis, University of Utrecht.

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