Smartphone Distractions and its Effect on Driving Performance using Vehicular Lifelog Dataset

Abstract

In this paper, we identified the driver risky driving behavior through analyzing the variations in the vehicle dynamics when using a smartphone while driving. These variations have been effectively captured using a smartphone and vehicular sensory technologies. A framework named “AutoLog” has been used in this paper which uses the On-Board Diagnostic-2 (OBD2) and smartphone sensors to capture the driver smartphone activities along with vehicle data. We captured certain essential parameters that could be used for analyzing the driving behavior. An alert message can be generated by performing risky activities on either a smartphone or any activities while driving. Results show that performing smartphone activities i.e. making calls and text messaging while driving suddenly degrades the speed and abruptly change in the steering wheel leads to lane deviation which may cause accidents.