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Abstract

The purposes of this study were to construct main factors causing traffic accidents by measuring attributes of an accident, and to model the ordered regression relationship between those factors and the severity of the accident. The result showed that the hazard factor due to speed and collision direction and the risk factor due to control difficulty were two main factors that significantly affect the severity of a traffic accident. In validating the model, we found that within 1 unit diffirence, the model showed an accuracy of 82.8, which means that the model is viable for practical application to estimate the severity of accidents and to help delivering preventive measures.



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Article Details

Issue: Vol 17 No 2 (2014)
Page No.: 79-88
Published: Jun 30, 2014
Section: Engineering and Technology - Research article
DOI: https://doi.org/10.32508/stdj.v17i2.1351

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Creative Commons License

Copyright: The Authors. This is an open access article distributed under the terms of the Creative Commons Attribution License CC-BY 4.0., which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

 How to Cite
Van, T., & Nguyen, T. (2014). Modeling and forecasting trafic accident severity based on main factors. Science and Technology Development Journal, 17(2), 79-88. https://doi.org/https://doi.org/10.32508/stdj.v17i2.1351

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