Trajectory prediction for heterogeneous traffic agents plays a crucial role in ensuring the
safety and efficiency of automated driving in highly interactive traffic environments …

Fault detection is not only a useful approach to guarantee the safety of a vehicle platooning
system but also an indispensable part of functional safety for future connected automated …

Accurately predicting the trajectory of road agents in complex traffic scenarios is challenging
because the movement patterns of agents are complex and stochastic, not only depending …

High-accuracy long-coverage vehicle trajectory data can benefit the investigations of various
traffic phenomena. However, existing datasets frequently contain broken trajectories due to …

Traffic state estimation (TSE) plays a significant role in traffic control and operations since it
can provide accurate and high-resolution traffic estimations for locations without traffic states …

Providing high-quality network services for vehicles is a challenge because of the fast-
moving character of the vehicles. To address the shortcomings of traditional centralized and …

In deterministic mobile edge computing (MEC) networks, accurately predicting latency is
critical for optimizing resource allocation and enhancing quality of service (QoS). This paper …

On highways, vehicles that swerve out of their lane due to sideslip can pose a serious threat
to the safety of autonomous vehicles. To ensure their safety, predicting the sideslip …

In the context of the booming Internet of Vehicles, predicting vehicle trajectories is crucial for
intelligent transportation systems. Existing methods, reliant on sensor data and behavior …

Real-time vehicle prediction is crucial in autonomous driving technology, as it allows
adjustments to be made in advance to the driver or the vehicle, enabling them to take …