Purpose Nowadays, connected vehicles are becoming quite complex systems which are made up of different devices. In such a vehicle, there are several electronic control units …
The rapid advancement of edge and cloud computing platforms, vehicular ad-hoc networks, and machine learning techniques have brought both opportunities and challenges for next …
A Abdo, H Chen, X Zhao, G Wu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Connected and automated vehicles (CAVs) provide various valuable and advanced services to manufacturers, owners, mobility service providers, and transportation authorities …
Cyber-physical system (CPS) analysis and design are challenging due to the intrinsic heterogeneity of those systems. Today, CPSs are often designed by leveraging existing …
Future autonomous systems will employ sophisticated machine learning techniques for the sensing and perception of the surroundings and the making corresponding decisions for …
The rapid development of vehicular network and autonomous driving technologies provides opportunities to significantly improve transportation safety and efficiency. One promising …
With the rapid advancement of autonomous driving and vehicular communication technology, intelligent intersection management has shown great promise in improving …
Connected vehicle applications such as autonomous intersections and intelligent traffic signals have shown great promises in improving transportation safety and efficiency …
Networked systems have shown great promises in various cyber-physical applications, such as automotive and transportation systems, smart buildings and infrastructures, and robotic …