A framework on driving behavior and pattern using On-Board diagnostics (OBD-II) tool

Abstract

The concept of DB means “Driver Behaviour” is a detailed analysis of driver pattern or style as to how the vehicle is operated by the driver in different conditions such as environ and dynamics of road conditions. Hence, it has become one of the most sought-after subject having pivotal importance these days. Here in this paper, the chief aim of detailed work on DB analysis methods is rendered in an elaborated manner. The DB is essentially consists of driver and his body dynamics with respect to the vehicle such as dynamics of upper and lower body and lower body including motion and gestures of hands, feet motion, head rotation, staring/gazing behaviour etc.. All this detailed feed is in turn utilized in predicting driver’s attention with respect to the surroundings and the vehicle and also his distraction and fatigue with respect to the same. Most of the accidents are a result of risky DB, which in turn cause great bodily and fiscal damages. Moreover, it has become necessary to recognise risky DB and treat people accordingly on the basis of their driving behaviour in order to counter the ongoing growth of road accidents. Positively, with the help of advanced sensors integrated into embedded systems or OBD systems support, it is now possible to propose and develop a fool proof DB.The efficacy of the DB and further scope of its improvement, based on the information obtained by the vehicle diagnostic system “OBD-II” and ML means “Machine Learning” algorithms is explored in this paper. Almost complete behaviour of drivers, that is, whether the driver practises safe driving methods/patterns or is following unsafe/risky driving methods including rash driving or drunk driving or even violating the traffic rules, can be distinguished by utilizing specific inputs from OBD-II and then with application of certain ML techniques. Ultimately, the mankind is heading towards a range of autonomous vehicles, hence the need, scope and potential of DB is gaining momentum now a days.