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. • The world climate institution has reported that the carbon emission from transportation system is one-fifth of global carbon dioxide with a sum of around 24% of energy. The communication between EV and Roadside Unit (RSU), and the continuous computational power required to support IoV system is also energy harvesting. • In this paper, we propose a decentralized trust management solution for IoV systems to reduce both carbon print and offload the computation power required. • Our solution resides in developing a Digital Twin of the vehicle on an intelligent edge environment to simulate the physical vehicle and process the required data processing. 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 transportation field is ushering in a revolutionary advancement. Smart transportation systems facilitate 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 intelligent 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. [ABSTRACT FROM AUTHOR]