Non-intrusive Distracted Driving Detection based on Driving Sensing Data

Sasan Jafarnejad, German Castignani, Thomas Engel

2018

Abstract

Nowadays Internet-enabled phones have become ubiquitous, and we all witness the flood of information that often arrives with a notification. Most of us immediately divert our attention to our phones even when we are behind the wheel. Statistics show that drivers use their phone on 88% of their trips, in 2015 in the United Kingdom 25% of the fatal accidents were caused by distraction or impairment. Therefore there is need to tackle this issue. However, most of the distraction detection methods either use expensive dedicated hardware and/or they make use of intrusive or uncomfortable sensors. We propose a distracted driving detection mechanism using non-intrusive vehicle sensor data. In the proposed method 8 driving signals are used. The data is collected, then two sets of statistical and cepstral features are extracted using a sliding window process, further a classifier makes a prediction for each window frame, lastly, a decision function takes the last l predictions and makes the final prediction. We evaluate the subject independent performance of the proposed mechanism using a driving dataset consisting of 13 drivers. We show that performance increases as the decision window gets larger. We achieve the best results using a Gradient Boosting classifier with a decision window of total duration 285 seconds which yields ROC AUC of 98.7%.

Paper Citation

in Harvard Style

Jafarnejad S., Castignani G. and Engel T. (2018). Non-intrusive Distracted Driving Detection based on Driving Sensing Data.In Proceedings of the 4th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS, ISBN 978-989-758-293-6, pages 178-186. DOI: 10.5220/0006708401780186

in Bibtex Style

@conference{vehits18,
author={Sasan Jafarnejad and German Castignani and Thomas Engel},
title={Non-intrusive Distracted Driving Detection based on Driving Sensing Data},
booktitle={Proceedings of the 4th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS,},
year={2018},
pages={178-186},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006708401780186},
isbn={978-989-758-293-6},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 4th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS,
TI - Non-intrusive Distracted Driving Detection based on Driving Sensing Data
SN - 978-989-758-293-6
AU - Jafarnejad S.
AU - Castignani G.
AU - Engel T.
PY - 2018
SP - 178
EP - 186
DO - 10.5220/0006708401780186