Analysis of Rear-End Crash on Thai Highway: Decision Tree Approach
Joint Authors
Champahom, Thanapong
Jomnonkwao, Sajjakaj
Chatpattananan, Vuttichai
Karoonsoontawong, Ampol
Ratanavaraha, Vatanavongs
Source
Journal of Advanced Transportation
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-11-27
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
Objective.
Among crash types on Thai highways, rear-end crashes have been found to cause the largest number of fatalities.
This study aims to find ways to decrease rear-end crashes and fatal rear-end crashes.
Methods.
Classification and regression tree (CART) was used to analyze the complicated relationship of variables of big data.
The analysis was conducted by creating two models: (1) a model which indicates the causes of rear-end crashes by applying Quasi-Induced Exposure to at-fault driver characteristics; (2) a determined model which studies fatal crashes.
Results.
Predictor variables in the model of at-fault and not-at-fault drivers found that driver age is most significant, followed by number of lanes and median opening area.
For the mode of fatality, the use of safety equipment was found to be of most importance.
Conclusion.
The model results can be used to develop guidelines for public awareness programs for motorists and to propose policy changes to the Department of Highway in order to reduce the severity of rear-end crashes.
Moreover, this paper discusses the variables that may result in both the perspective of rear-end crash number and the fatality rate of rear-end crashes as strategies in future research.
American Psychological Association (APA)
Champahom, Thanapong& Jomnonkwao, Sajjakaj& Chatpattananan, Vuttichai& Karoonsoontawong, Ampol& Ratanavaraha, Vatanavongs. 2019. Analysis of Rear-End Crash on Thai Highway: Decision Tree Approach. Journal of Advanced Transportation،Vol. 2019, no. 2019, pp.1-13.
https://search.emarefa.net/detail/BIM-1169695
Modern Language Association (MLA)
Champahom, Thanapong…[et al.]. Analysis of Rear-End Crash on Thai Highway: Decision Tree Approach. Journal of Advanced Transportation No. 2019 (2019), pp.1-13.
https://search.emarefa.net/detail/BIM-1169695
American Medical Association (AMA)
Champahom, Thanapong& Jomnonkwao, Sajjakaj& Chatpattananan, Vuttichai& Karoonsoontawong, Ampol& Ratanavaraha, Vatanavongs. Analysis of Rear-End Crash on Thai Highway: Decision Tree Approach. Journal of Advanced Transportation. 2019. Vol. 2019, no. 2019, pp.1-13.
https://search.emarefa.net/detail/BIM-1169695
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1169695