Critical factors affecting mobile phone use while driving through the exploitation of smartphone sensor data

Abstract

This work aims to model the critical factors of mobile phone use on driver behavior through the exploitation of data from smartphone sensors. Data collected from 100 drivers who participated at a naturalistic driving experiment for 6 months are analyzed, combined with respective questionnaire answers. Using GLM Poisson regression models, the correlation between driving characteristics recorded by smartphone sensors and the percentage of mobile use while driving was investigated. Four statistical regression models forecasting the percentage of mobile phone use while driving was developed: one overall model and one per road type (urban, rural, highway). Results indicate that parameters affecting the use of mobile phone while driving are (i) the percentage of driving duration with speed above the speed limit (ii) driving distance, (iii) average deceleration, and (iv) average speed.