Abstract
It is difficult to model human behavior because of the variability in driving styles and driving skills. However, for some driver assistance systems, it is necessary to have knowledge of that behavior to discriminate potentially hazardous situations, such as distraction, fatigue or drowsiness. Many of the systems that look for driver distraction or drowsiness are based on intrusive means (analysis of the EEG) or highly sensitive to operating conditions and expensive equipment (PERCLOS analysis through artificial vision). A solution that seeks to avoid the above drawbacks is the use of driving parameters.
This article presents the conclusions obtained after a set of driving simulator tests with professional drivers with two main objectives using previous variables that are available in a non-intrusive way:
- To analyze the differences between the driving patterns of individual drivers
- To analyze the effect of distraction and drowsiness on these parameters
To this end, different scenarios (urban and rural environments) have been designed, including sequences with distractions and situations that cause fatigue. The variables that have been considered are non-intrusive driving parameters such as speed profile, steering wheel angle, transversal position on the lane, safety distance, etc. The analysis of the results was carried out in time and frequency domains in order to identify situations of loss of attention and to study whether the evolution of the analyzed variables along the time could be considered independent of the driver.
Keywords: ADAS, driver behaviour, distraction, driving simulator, professional driver