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Digital Twin (DT) is a system of systems in which the conversion of every component, dynamic, and firmware of a physical system into its digital equivalent takes place. Technological breakthroughs in the field of vehicle intelligence and urban computing has made it possible for linked smart automobiles to serve as ubiquitous edge computing systems for a wide range of potent applications. The major aim in vehicular development is to improve road safety by ensuring that everyone has access to safe, affordable, accessible, and sustainable transportation systems. However, the effective implementation of edge computing systems is difficult in real life scenarios because of the varying types of existing smart vehicles, each having its own computing capacity, and different operations and tasks to execute. To overcome these restrictions, a DT system was implemented into vehicular networks. The DT collects data from the various Road Side Units of the edge computing vehicle network and generates a mirrored edge computing system. Through that, it can effectively execute the task off loading and resource allocation required between different RSUs and maintain the overall system load.
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Pillai et al. (2023) studied this question.
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