Data Mining of Roadway Traffic Accident Using Statistical and Factor Analysis, Case Study: Highway and Old Corridor of Qazvin-Loshan

Document Type : Original Article

Authors

1 Professor, Department of Civil Engineering , Faculty of civil Engineering, the University of Science and Technology, Tehran, Iran.

2 Assistant Professor, Department of Civil Engineering, Faculty of Engineering The University of Guilan, Iran

3 M.Sc. Stud., Road and Transportation Dept., Faculty of Civil Engineering (Road and Transportation), the University of Science and Technology,, Tehran, Iran.

Abstract

Road accidents are one of the most important causes of mortality and severe physical and financial damage. Therefore, the use of methods to reduce cost and fatality of traffic crashes is more than ever discussed. The main goal of this study is to investigate the effect of environmental, human and geometric factors on Qazvin-Loshan highway and its old Corridor during the period from 2011 to 2016 using factor analysis. In order to investigate the combination of parameters and their impact on the crashes, factor analysis is based on parameters that are known as independent variables. The results of the study showed that 14 variables affecting crashes in the studied corridor are divided into 6 main categories according to priority level. The variables that have the most impact on Qazvin-Loshan highway crashes are environmental factors (lighting, climatic and pavement conditions), while in the old corridor, geometric factors (type of area, geometric design and type of roadway) have had the greatest impact on crash occurrences.

Keywords

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