Title: ONCAR: an ontology-based approach for car automation modelling

Authors: Achraf Lyazidi; Salma Mouline

Addresses: LRIT – CNRST URAC n°29, Faculty of Sciences, Rabat IT Center, Mohammed V University in Rabat, 10000, Morocco ' LRIT – CNRST URAC n°29, Faculty of Sciences, Rabat IT Center, Mohammed V University in Rabat, 10000, Morocco

Abstract: Smart cars are vehicles conceived with technological components to ease the driving and the management of the car, and to assist drivers with safety and security, energy saving and comfort services. However, the design of these complex systems involves diverse aspects including automated behaviours and user's needs and information. A modelling language with a semantic aspect will allow a close modelisation to these requirements. Also, adequate design methods to ensure the effectiveness of such systems are needed. Yet, research to design intelligent vehicles is still limited. In this paper, we aim to offer a complete design method. For that, we define a complete ontology for car automation.

Keywords: car automation; intelligent vehicles; smart cars; ontology; automation; smart environment; modelling.

DOI: 10.1504/IJVSMT.2021.115815

International Journal of Vehicle Systems Modelling and Testing, 2021 Vol.15 No.1, pp.21 - 40

Received: 20 Apr 2020
Accepted: 02 Jul 2020
Published online: 24 Jun 2021 *

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