Analyzing Driver Behavior Compliance under HoS Regulations

Ignacio Vellido-Expósito, Juan Fernández-Olivares, Raúl Pérez, Luis Castillo

2022

Abstract

World wide spreaded Hours of Service (HoS) regulations constraint drivers’ amount of working and driving time without resting. Transport companies are extremely interested on interpreting what their drivers are doing, based on the raw information of event logs generated by fleets’ onboard devices, considering the terms defined by HoS regulations. This work addresses the problem of analyzing the compliance of a driver wrt HoS, by using AI techniques to classify and label the information of a driver’s log according to HoS terms. The final result is a human-interpretable descriptive model of driver behaviour that leverages the company situational awareness, empowering staff responsible of operations to make better informed decisions.

Paper Citation

in Harvard Style

Vellido-Expósito I., Fernández-Olivares J., Pérez R. and Castillo L. (2022). Analyzing Driver Behavior Compliance under HoS Regulations. In Proceedings of the 8th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS, ISBN 978-989-758-573-9, pages 463-470. DOI: 10.5220/0011116200003191

in Bibtex Style

@conference{vehits22,
author={Ignacio Vellido-Expósito and Juan Fernández-Olivares and Raúl Pérez and Luis Castillo},
title={Analyzing Driver Behavior Compliance under HoS Regulations},
booktitle={Proceedings of the 8th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS,},
year={2022},
pages={463-470},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011116200003191},
isbn={978-989-758-573-9},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 8th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS,
TI - Analyzing Driver Behavior Compliance under HoS Regulations
SN - 978-989-758-573-9
AU - Vellido-Expósito I.
AU - Fernández-Olivares J.
AU - Pérez R.
AU - Castillo L.
PY - 2022
SP - 463
EP - 470
DO - 10.5220/0011116200003191