Building a Dataset for Trip Style Assessment Based on Real Trip Data

Luís Loureiro, Luís Loureiro, Artur Ferreira, Artur Ferreira, André Lourenço, André Lourenço

2023

Abstract

In most countries, to have permission to drive vehicles on public roads one must have insurance against civil liability for vehicles. In many cases, the insurance fees depend on the age of the driver, the number of years one holds a driving license, and the driving history. The usual assumption taken by insurance companies that younger drivers are always more risky than others are not always correct, penalizing young good drivers. In this paper, we follow a pay-as-you-drive approach based on trip behavior data of different drivers. First, we build a dataset from real trip data. Then, we apply a two-stage clustering approach to the dataset to identify trip profiles. The experimental results show that we can cluster and identify distinct trip profiles in which many trips have a non-aggressive style, some have an aggressive style and only a few are risky style trips. Our solution finds application in fair insurance fee calculation or fleet management tasks, for instance.

Paper Citation

in Harvard Style

Loureiro L., Ferreira A. and Lourenço A. (2023). Building a Dataset for Trip Style Assessment Based on Real Trip Data. In Proceedings of the 12th International Conference on Data Science, Technology and Applications - Volume 1: DATA; ISBN 978-989-758-664-4, SciTePress, pages 287-294. DOI: 10.5220/0012079400003541

in Bibtex Style

@conference{data23,
author={Luís Loureiro and Artur Ferreira and André Lourenço},
title={Building a Dataset for Trip Style Assessment Based on Real Trip Data},
booktitle={Proceedings of the 12th International Conference on Data Science, Technology and Applications - Volume 1: DATA},
year={2023},
pages={287-294},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012079400003541},
isbn={978-989-758-664-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 12th International Conference on Data Science, Technology and Applications - Volume 1: DATA
TI - Building a Dataset for Trip Style Assessment Based on Real Trip Data
SN - 978-989-758-664-4
AU - Loureiro L.
AU - Ferreira A.
AU - Lourenço A.
PY - 2023
SP - 287
EP - 294
DO - 10.5220/0012079400003541
PB - SciTePress