APPLICATION OF MULTIPLE LOGISTIC REGRESSION, BAYESIAN LOGISTIC AND CLASSIFICATION TREE TO IDENTIFY THE SIGNIFICANT FACTORS INFLUENCING CRASH SEVERITY

APPLICATION OF MULTIPLE LOGISTIC REGRESSION, BAYESIAN LOGISTIC AND CLASSIFICATION TREE TO IDENTIFY THE SIGNIFICANT FACTORS INFLUENCING CRASH SEVERITY

Identifying cases in which road crashes result in fatality or injury of drivers may help improve their safety. In this study, datasets of crashes happened in TehranQom freeway, Iran, were examined by three models (multiple logistic regression, Bayesian logistic and classification tree) to analyse th...

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Bibliographic Details
Main Authors: MILAD TAZIK, IMAN AGHAYAN, MOHSEN SADEGHI
Format: Article
Language:English
Published: Taylor's University 2017-11-01
Series:Journal of Engineering Science and Technology
Subjects:
Bayesian logistic
Classification tree
Injury severity
Multiple logistic regression
Traffic crash
Online Access:http://jestec.taylors.edu.my/Vol%2012%20issue%2011%20November%202017/12_11_15.pdf

Internet

http://jestec.taylors.edu.my/Vol%2012%20issue%2011%20November%202017/12_11_15.pdf

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