1 research outputs found
Taxonomy, Open Challenges, Motivations, and Recommendations in Driver Behavior Recognition: A Systematic Review
Driver behavior has a major role in many of the unpleasant things that happen when driving, such as
crashes or accidents, heavy traffic, abrupt braking, and acceleration and deceleration. Numerous investigations
have been carried out to look into the variables influencing driving behavior. To offer a thorough analysis and
classify these findings according to a logical classification, further research is required. The goal of this systematic
review is to enhance knowledge about the variables influencing driving behavior. A taxonomy on the subject of
driver behavior in various ITS domains and their categories was also produced by this work.
A systematic review of the literature was performed in accordance with PRISMA (Preferred Reporting Items for
Systematic Reviews and Meta-Analyses) guidelines to gain insight into driver behaviour recognition.
Specifically, IEEE Explore, ScienceDirect and Springer databases were searched to identify any relevant articles
with a focus on "driver behavior," "driver style," "driver pattern," "driver simulator," and "visual attention,” from
2008 to 2021 (15 April).
Several filtering and scanning procedures were performed on all 606 retrieved articles in compliance with the
exclusion/inclusion criteria; nonetheless, only 50 articles met the requirements. The criteria-compliant references
were examined and evaluated. Furthermore, every piece that was included was classified using a taxonomy. The
four categories created by the taxonomy are review, experiment, framework, and other study types. To illustrate
the main gaps in the literature regarding the identification of driving behavior, a discussion and analysis were
presented. This thorough analysis has highlighted the issues and reasons while also pointing forth fresh research
directions