Nowadays, advanced communication technologies are being utilized to develop intelligent
transportation management and driving assistance. Through the ability to exchange traffic …

Unmanned aerial vehicles (UAVs) have recently established their capacity to provide cost-
effective and credible solutions for various real-world scenarios. UAVs provide an immense …

Machine learning (ML) is widely used for key tasks in Connected and Automated Vehicles
(CAV), including perception, planning, and control. However, its reliance on vehicular data …

Modern cities worldwide are undergoing radical changes to foster a clean, sustainable and
secure environment, install smart infrastructures, deliver intelligent services to residents, and …

The global shift towards reducing carbon emissions has spurred a growing interest in
electric vehicles (EVs) over traditional fossil fuel-based internal combustion engines …

In this paper, we study a new latency optimization problem for blockchain-based federated
learning (BFL) in multi-server edge computing. In this system model, distributed mobile …

Abstract Internet of Vehicles (IoV) is a paradigm of ITS that incorporates automobiles,
transportation, information sharing, and traffic infrastructure management with the aim to …

Intelligent transportation systems (ITSs) have been fueled by the rapid development of
communication technologies, sensor technologies, and the Internet of Things (IoT) …

Urban sensing is a rapidly growing field that involves gathering real-time data from urban
environments. These smart sensing systems are pivotal in enhancing urban planning …

The emerging fifth-generation (5G) technology towards Internet of Vehicles (IoV) provides
numerous advantages, such as lower levels of latency, stable link connections, and support …