A Random Parameters Approach to Investigate Injury Severity of Two-Vehicle Crashes at Intersections

Roadway intersections are crash-prone locations and, hence, ensuring the safety of road users at has been a major concern for transportation professionals. It is critical to identify risk factors that contribute severe crashes implement appropriate countermeasures. Greater emphasis needed on two-vehicle since they represent majority intersection crashes. In this study, random parameter ordinal probit model was developed estimate contributing injury severity intersections. Nine years crash data in Wyoming were analyzed model. The study involved investigation influence set intersection, drivers, environmental, and characteristics severity. results demonstrated urban signalized related lower levels. addition, higher pavement friction more likely be associated with less Crashes drivers who females or impaired weekends Intersection occurred non-dry surfaces, adverse weather conditions, large vehicles, out-of-state severe.