@article{ref1,
title="Validation of a smartphone telematics algorithm for classifying driver trips",
journal="Transportation research interdisciplinary perspectives",
year="2024",
author="Ebert, Jeffrey P. and Xiong, Ruiying A. and Patel, Arjun and Abdel-Rahman, Dina and McDonald, Catherine C. and Kit Delgado, M.",
volume="25",
number="",
pages="e101109-e101109",
abstract="This study assessed the accuracy of a smartphone telematics algorithm that classifies car trips as driver or non-driver. Participants' trips were measured for 4 weeks by Way to Drive, a research telematics application that uses the same data algorithms as leading auto-insurance companies. At the end of each week, participants completed a survey prompting them to review trips within the app and report time and nature of any misclassified trips. Overall accuracy of driver vs. non-driver classification was high (96.5 %, SD = 5.1 %). Sensitivity, the percentage of actual driver trips classified as such, was also high (97.5 %, SD = 4.6 %). Specificity, the percentage of non-driver trips classified as such, was slightly lower and more variable (91.2 %, SD = 14.8 %). The algorithm's accuracy was generally robust to a variety of phone characteristics, vehicle features, and driving habits.<p />",
language="en",
issn="2590-1982",
doi="10.1016/j.trip.2024.101109",
url="http://dx.doi.org/10.1016/j.trip.2024.101109"
}