Inferring cognitive workload and crash risk from naturalistic driving data

Project Description This dataset supported the study toidentify the factors that are potentially relevant to cognitive workload and crash risk. Data Request Scope This dataset contains The event data for all the crash, near-crash and baseline. Driver Questionnaires Medical Conditions Medications Data Specification VTTI delivered to University of Toronto the following Variables: Event Table o Precipitating Event o Event Nature 1 o Incident Type 1 o Event Severity 1 o Crash Severity 1 o Event Nature 2 o Incident Type 2 o Event Severity 2 o Crash Severity 2 o Driver Behavior 1 o Driver Behavior 2 o Driver Behavior 3 o Driver Impairments o Front Seat Passengers o Rear Seat Passengers o Secondary Task 1 o Secondary Task 1 Start Time o Secondary Task 1 End Time o Secondary Task 1 Outcome o Secondary Task 2 o Secondary Task 2 Start Time o Secondary Task 2 End Time o Secondary Task 2 Outcome o Secondary Task 3 o Secondary Task 3 Start Time o Secondary Task 3 End Time o Secondary Task 3 Outcome o Vehicle Contributing Factors o Infrastructure o Visual Obstructions o Lighting o Weather o Surface Condition o Traffic Flow o Contiguous Travel Lanes o Through Travel Lanes o V1 Lane Occupied o Traffic Density o Traffic Control o Relation to Junction o Intersection Influence o Alignment o Grade o Locality o Construction Zone o Number of Other Motorists/Non-Motorists o Number of Objects/Animals Driver Questionnaires o Gender o Age Group o Average Annual Miles o Years Driving o Training o Number of Violations o Number of Crashes o Crash 1 Severity o Crash 1 Fault o Crash 2 Severity o Crash 2 Fault o Acuity Medical Conditions Medications (all variables from InSight)