Connectivity, whether between objects or with the Internet, has given rise to many new business ideas and associated terminologies. Especially in the automotive industry, new terms have emerged in the field of connected vehicles, which are defined multiple times in academia and industry. This is due to the lack of an ontology that establishes the connection between terminologies and a taxonomy that categorizes them clearly. Therefore, this paper closes this gap by providing an overview of paradigms, concepts, and technologies for vehicle communication, as well as potential execution platforms and concepts.Additionally, we propose use cases that deal with the connected vehicle in the commercial city bus sector. The first use case deals with the connectivity of the vehicle and the associated possibility of executing computationally intensive machine learning models in the cloud. The aim of this use case is to reduce the energy impact of air conditioning in the city bus. The second use case focuses on cooperative perception and cloud/edge connectivity to increase the efficiency of city buses in their daily operation in road traffic by implementing dynamic route optimization that can react promptly to events such as accidents. The paper closes with remarks on future research challenges in the fields of function offloading, the identification of the most suitable execution concept for vehicle functions and the selection of the most fitting variant of a function in the cloud.
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Baumann et al. (2024) studied this question.
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