This paper presents a hierarchical framework combining a machine learning (ML)-based
approach with a model-based approach to predict the behavior and trajectory of surrounding …

The constraints imposed by traffic regulations and road geometries lead to a certain degree
of geo-spatial similarity in vehicular behaviors, a factor overlooked in existing studies on …

This paper addresses the problem of long term location prediction for collision avoidance in
Connected Vehicle (CV) environment where more information about the road and traffic data …

Prediction of surrounding vehicles accurately is an essential prerequisite for safe
autonomous driving. Trajectory prediction methods can be classified into physics …

In order to drive safely in a dynamic environment, autonomous vehicles should be able to
predict the future states of traffic participants nearby, especially surrounding vehicles, similar …

Short-term traffic volume forecasting is widely recognized as an important element of
intelligent transportation systems, because the accuracy of predictive methods determines …

Accurate vehicle trajectory prediction in autonomous driving technology poses significant
challenges due to the varying driving states of different vehicles, their motion patterns, and …

Accurate trajectory prediction is an essential task in automated driving, which is achieved by
sensing and analyzing the behavior of surrounding vehicles. Although plenty of research …

Effective trajectory prediction is of great significance for the design of intelligent driving
systems. To overcome the problems of low algorithm efficiency and insufficient scenario …

Motion prediction is the fundamental input for decision-making in autonomous vehicles. The
current motion prediction solutions are designed with a strong reliance on black box …