Conférence : International Conference on Machine Learning for Networking, 27 November 2023
Thedevelopmentofdigitaltwinsforroadtraffichasgarnered significant attention within the scientific community, particularly in the realms of virtualization and the Internet of Things (IoT). The implemen- tation of a digital twin for automobiles offers a virtual replica, capable of discerning the precise location, status, and real-time behavior of each vehicle present in the road traffic network. The primary objective of this endeavor is to create an advanced digital twin of cars that can seam- lessly navigate through road traffic. To accomplish this, a meticulously selected technical approach involves employing a platform that simulates virtual sensor networks, accompanied by a purpose-built application that facilitates the access and dissemination of car-related data. Furthermore, this undertaking incorporates the utilization of an existing traffic simu- lator alongside a robust communication protocol to ensure seamless data transfer between the simulation environment and the sensors responsible for data collection from automobiles.