Verification of Driving Workload Using Vehicle Signal Data for Distraction-Minimized Systems on ITS

Abstract

A driver's workload can vary significantly, depending on the driving situation (e.g., getting ready to make a turn or simply keeping the vehicle in a lane). Therefore, it is crucial to consider when and where a system should provide information to a driver with the least amount of distraction. Unfortunately, current guidelines for in-vehicle systems do not consider the driving workload. The authors describe a method of quantifying the driving workload and setting five discrete driving workload levels (DWLs) by simple vehicle signal data, using subjective measurement, in order to offer criteria for distraction-minimized systems on intelligent transportation system (ITS). The authors verified the efficiency of the DWL, and we propose directions for new regulations based on the DWL.