Identifying risky driving behavior: a field study using instrumented vehicles

Road crashes continue to be a leading cause of death globally, with most these reportedly occurring due human factors. Traditional road safety assessment utilises geometric and traffic parameters that consider design inadequacies identify conflicts. However, previous studies do not represent risky driving behavior its influence on crash occurrence. Incorporating factors into evaluation is crucial enhance the prediction subsequent prevention unsafe events. This research establishes methodology using performance measures. These measures are computed based continuous profiles collected instrumented vehicles from sample set drivers an expressway compared historical data. The results indicate significance in evaluating safety. find application collision avoidance systems, assessing quality, testing countermeasures guide for policymakers..