Online Driving Behavior Scoring using Wheel Speeds

Marian Waltereit, Peter Zdankin, Viktor Matkovic, Maximilian Uphoff, Torben Weis

2020

Abstract

We present an online scoring algorithm for measuring driving behavior using wheel speeds only. Such an algorithm can be used to provide drivers with feedback about their driving behavior while driving in order to reduce aggressive driving, which is a primary cause of traffic accidents. Our algorithm uses a minimal data set already available through the built-in wheel speed sensors of contemporary cars. Due to the small amount of data used and the low computational complexity, our algorithm can easily be deployed on single-board computers. With real driving experiments in a controlled and an uncontrolled environment, we demonstrate the suitability of our scoring algorithm for identifying aggressive driving and assessing the driving behavior.

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Paper Citation


in Harvard Style

Waltereit M., Zdankin P., Matkovic V., Uphoff M. and Weis T. (2020). Online Driving Behavior Scoring using Wheel Speeds.In Proceedings of the 6th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS, ISBN 978-989-758-419-0, pages 417-424. DOI: 10.5220/0009215604170424


in Bibtex Style

@conference{vehits20,
author={Marian Waltereit and Peter Zdankin and Viktor Matkovic and Maximilian Uphoff and Torben Weis},
title={Online Driving Behavior Scoring using Wheel Speeds},
booktitle={Proceedings of the 6th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS,},
year={2020},
pages={417-424},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009215604170424},
isbn={978-989-758-419-0},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 6th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS,
TI - Online Driving Behavior Scoring using Wheel Speeds
SN - 978-989-758-419-0
AU - Waltereit M.
AU - Zdankin P.
AU - Matkovic V.
AU - Uphoff M.
AU - Weis T.
PY - 2020
SP - 417
EP - 424
DO - 10.5220/0009215604170424