@inproceedings{5fb2bf1462df43428ad2b7d29d76fa89,
title = "C-ITS use cases: Study, extension and classification methodology",
abstract = "In the near future vehicles will be connected and able to communicate with their environment. Such technologies - commonly called Cooperative Intelligent Transportation Systems (C-ITS) - aim at improving road safety, traffic efficiency and drivers comfort. To this end the C-ITS community has proposed many different use cases. In this paper, we start by making an inventory of C-ITS use cases. We then extend this list by proposing new use cases mostly related to security and privacy aspects. Finally we propose a classification methodology based on K-means algorithm to classify the use cases according to criteria we defined. We apply the proposed methodology on our use cases list using security and technical criteria. The obtained results enable to extract a subset of representative use cases from the initial list. Such subset can then be used to apply any process/method (e.g. risk analysis) on it.",
keywords = "C-ITS use cases, K-means, classification",
author = "Farah Haidar and Arnaud Kaiser and Brigitte Lonc and Pascal Urien and Richard Denis",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 87th IEEE Vehicular Technology Conference, VTC Spring 2018 ; Conference date: 03-06-2018 Through 06-06-2018",
year = "2018",
month = jul,
day = "20",
doi = "10.1109/VTCSpring.2018.8417866",
language = "English",
series = "IEEE Vehicular Technology Conference",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1--5",
booktitle = "2018 IEEE 87th Vehicular Technology Conference, VTC Spring 2018 - Proceedings",
}