Run-off-road (ROR) crashes in the United States have become a major cause of serious injuries and fatalities. A significant portion of run-off-road crashes are single vehicle crashes that occur due to collisions with fixed objects and overturning. These crashes typically tend to be more severe than other types of crashes. And the economic costs associated with this type of crashes are significantly high. Therefore, it is necessary to identify the factors that are associated with single vehicle ROR crashes so that effective remedies can be developed to reduce the severity of ROR crashes. In this study, single vehicle run-off-road crashes that occurred between 2004 and 2008 were extracted from Kansas Accident Reporting System (KARS) database to identify the important factors that affected their severity. Different driver, vehicle, road, crash, and environment related factors that influenced crash severity were identified by using binary logit models. Three models were developed to t
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