Abstract Intelligent Transportation System (ITS) is continuously evolving alongside
communication technologies and autonomous driving, giving way to new applications and …

Interest in autonomous driving (AD) and intelligent vehicles (IVs) is growing at a rapid pace
due to the convenience, safety, and economic benefits. Although a number of surveys have …

The significant contribution of human errors, accounting for approximately 94%(with a
margin of±2.2%), to road crashes leading to casualties, vehicle damages, and safety …

Autonomous driving has so far received numerous attention from academia and industry.
However, the inevitable occlusion is a great menace to safety and reliable driving. Existing …

Graph neural networks (GNNs) have been extensively used in a wide variety of domains in
recent years. Owing to their power in analyzing graph-structured data, they have become …

Device positioning has generally been recognized as an enabling technology for numerous
vehicular applications in intelligent transportation systems (ITS). The downlink time …

In foggy highways, the secure vehicular communication system can be very important in
preventing traffic chaos, congestion, and accident; however, potential attackers may hack …

Autonomous vehicles (AVs) promise a future with safer, cleaner, more efficient, and more
reliable transportation. However, the current approach to autonomy has focused on building …

Accurate prediction of agent motion trajectories is crucial for autonomous driving,
contributing to the reduction of collision risks in human-vehicle interactions and ensuring …

Intelligent vehicles, including autonomous vehicles and vehicles equipped with ADAS
systems, are single-agent systems that navigate solely on the information collected by …