Understanding Driving Behavior: Measurement, Modeling and Analysis

Human factors contribute in the manifestation of 95% of all accidents; recently there has been a research emphasis on driving behavior established as an outcome of individual actions as well as psychophysical values. This paper pursues the guidelines of systematic literature reviews to present an unbiased survey of the existing research on driving behavior in line with the psychophysical state as well as the behavioral operations of the driver and to develop unconventional taxonomies based upon the nature of the conducted study, measurement patterns and supervision motives underlying the detection and prediction models of driving behavior. A discussion on each classification is provided with a focus on the dominant mechanisms thought to be involved. The proposed overview gives insights into the scope of the problem and paves the way for grasping the major contributions and shortcomings in the state-of-the-art research.