MyDrive: Drive Behavior Analytics Method And Platform

Abstract

In recent times, research on intelligent transportation and drive quality characterization has emerged to be an important area in the domain of intelligent vehicular telematics. The estimation of driving behavior quality and relative assessment of risky driving has always been a topic of interest for fleet managers, vehicle owners as well as the insurance providers. The most appealing use case that has come up is the analysis and reporting of the driving behavior, so that the drivers can get the feedback and change their driving pattern accordingly. Assessing driving style of an individual, relative categorization in a group of drivers, identifying his abnormal trips among all trips, demands continuous monitoring of the driver. In order to address these problems a statistical aggregate model is required. In this paper we propose an algorithm Skill- Aggression Quantifier (SAQ) which monitors, quantifies and classifies driving styles. The formulated idea has been implemented in an automated tool "MyDrive", which monitors and analyses the road-vehicle-driver interaction and models the driving styles of the individuals statistically.