The increasing complexity of vehicular embedded systems has encouraged researchers and practitioners to adopt model-driven engineering in the development of these systems. In particular, several modelling languages have been introduced for representing the vehicular software architecture and its quality attributes. Current trend in the automotive domain is to shift from single-core architectures to multi-core ones in the attempt of providing the computational power required from the next generation of vehicles, particularly autonomous ones. On the one hand, multi-core architectures introduce new real-time challenges in the development of these systems like core-interdependency. On the other hand, it is pivotal that modelling languages continue to be effective in representing the new vehicular architectures together with their novel concerns, to continue to benefit from model-based methodologies. In this thesis, we present a systematic mapping study focusing i) on the real-time challenges introduced by the adoption of multi-core architectures and ii) on the extent of the modelling support for the resolution of these challenge, in the automotive domain.