A digital twin-based edge intelligence framework for decentralized decision in IoV system

The Internet of Vehicle (IoV) is an emerging technology for the development of future smart cities. With the fast and exponential growing rate of Internet of Things (IoT), the smart trans-portation field is ushering in a revolutionary advancement. Smart transportation systems facili-tate better informed, more coordinated, and smarter use of transport networks, with the use of advanced information and communication technologies applied to vehicles to help improve traffic management, minimize congestion, improve safety, and ultimately provide a more intel-ligent use of transport networks. Smart transportation is an integral part of modern-day smart city projects. However, the world climate institution has reported that carbon emissions from the overall transportation system accounts for one-fifth of global carbon dioxide with a sum of around 24% of energy. Electric vehicles (EV) represent a solution for this issue, yet, it is not sustainable. The communication between EVs and a roadside unit (RSU), and the continuous computational power required to support an IoV system also requires a reliance on energy harvesting. With this in mind, in this paper, we propose a decentralized trust management solution for IoV systems to reduce both carbon footprint and offload the computation power required. Our solution resides in developing the digital twin of vehicles on an intelligent edge environment to simulate the physical vehicle and handle the required data processing. Also, we implement a smart contract model for fast, secure, and sustainable on-road battery recharging between EVs.