C-ITS use cases: study, extension and classification methodology

Farah Haidar (1) , Arnaud Kaiser (2) , Brigitte Lonc (1) , Pascal Urien (3) , Richard Denis (4)

1 RENAULT
2 IRT SystemX
3 LTCI - Laboratoire Traitement et Communication de l'Information
4 Valeo Comfort & Driving Assistance Systems

—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; classification; K-means

Domains: Other [cs.OH]

Farah Haidar, Arnaud Kaiser, Brigitte Lonc, Pascal Urien, Richard Denis. C-ITS use cases: study, extension and classification methodology. Vehicular Technology Conference , Jun 2018, porto, Portugal. ⟨hal-01745636⟩