Cluster Analysis for Driver Aggressiveness Identification

Fabio Martinelli, Francesco Mercaldo, Vittoria Nardone, Albina Orlando, Antonella Santone

Abstract

In the last years, several safety automotive concepts have been proposed, for instance the cruise control and the automatic brakes systems. The proposed systems are able to take the control of the vehicle when a dangerous situation is detected. Less effort was produced in driver aggressiveness in order to mitigate the dangerous situation. In this paper we propose an approach in order to identify the driver aggressiveness exploring the usage of unsupervised machine learning techniques. A real world case study is performed to evaluate the effectiveness of the proposed method.

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Paper Citation


in Harvard Style

Martinelli F., Mercaldo F., Nardone V., Orlando A. and Santone A. (2018). Cluster Analysis for Driver Aggressiveness Identification.In Proceedings of the 4th International Conference on Information Systems Security and Privacy - Volume 1: ForSE, ISBN 978-989-758-282-0, pages 562-569. DOI: 10.5220/0006755205620569


in Bibtex Style

@conference{forse18,
author={Fabio Martinelli and Francesco Mercaldo and Vittoria Nardone and Albina Orlando and Antonella Santone},
title={Cluster Analysis for Driver Aggressiveness Identification},
booktitle={Proceedings of the 4th International Conference on Information Systems Security and Privacy - Volume 1: ForSE,},
year={2018},
pages={562-569},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006755205620569},
isbn={978-989-758-282-0},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 4th International Conference on Information Systems Security and Privacy - Volume 1: ForSE,
TI - Cluster Analysis for Driver Aggressiveness Identification
SN - 978-989-758-282-0
AU - Martinelli F.
AU - Mercaldo F.
AU - Nardone V.
AU - Orlando A.
AU - Santone A.
PY - 2018
SP - 562
EP - 569
DO - 10.5220/0006755205620569