On the Road: Finding Driver Characteristics Associated with Crash Involvement Using a Naturalistic Study Design

Project Description This dataset was part of a study to examine the association between visual, cognitive, and medical characteristics of drivers with motor vehicle collisions (MVCs) and crash surrogates using naturalistic study design. The association of medical status and medication use of drivers was investigated via rates of involvement in critical incidents, near crashes, crashes, and at-fault crashes, independent of other known confounding factors Data Request Scope The dataset contains driver questionnaires, driver demographics, vehicle data and event detail table entries. All event types such as crash, near crash, crash-relevant conflict, non-conflict, and non-subject conflict incidents as well as the balanced-sample and additional baseline epochs (all as available on V1 of InSight) are included in the dataset. Data Specification The dataset contains elements from the following tables: Driver Demographics Questionnaire Driving History Questionnaire Driving Knowledge Survey Visual and Cognitive Tests Conner's Continuous Performance Test Clock Drawing Assessment Physical Strength Tests Barkley's ADHD Screening Test Risk Perception Questionnaire Risk Taking Questionnaire Sensation Seeking Scale Survey Driver Behavior Questionnaire Medical Conditions and Medications Sleep Habits Questionnaire Medical Conditions and Medications - Exit Interview Vehicle Detail Table Trip Summary Table Post Crash Interview Event Detail Table Details about the elements included in the dataset are included in the data dictionary files available for download within this entry.