Connected vehicles data classification and the influence of a sustainable data governance for optimal utilisation of in-vehicle data

The growth of connected vehicles and their associated services has endowed them with the remarkable ability to rapidly generate vast volumes of data. This proliferation has led to an increasing demand for effective data governance solutions. This paper delves into the exploration of currently available in-vehicle data, meticulously assessing the aspects of data velocity and heterogeneity. By scrutinising these factors, the paper aims to pinpoint and address critical gaps in how to deal with in-vehicle data, ultimately striving to create a seamless platform for managing and harnessing in-vehicle data. This project explores approaches for various connected vehicle communications, including V2V, V2I, and V2X, to de?ne data feeds in the connected vehicle data landscape. The results of the study could in uence the design of in-vehicle data governance by providing information on a stronger integrated framework, helping data owners and users make informed decisions about managing their data assets.