… Therefore, in this study, a personalized future trajectory prediction is developed to enhance
the scene understanding capability for the connected vehicles. The contribution of this study …

… set of high resolution driving data from a real-world connected vehicle testbed. Wali et al. [14] …
This research showed a significant improvement made by connected vehicle technologies …

… Connected vehicles’ technology enables real-time information sharing among surrounding
vehicles … availability provided by connected vehicles, predicting a vehicle’s future trajectory is …

… Intelligent connected vehicles (… trajectory prediction capability of ICVs is beneficial for traffic
efficiency and safety. In this paper, a real-time trajectory prediction method based on vehicle-…

… FRAMEWORK BASED ON PREFIX-PROJECTION TECHNIQUE In this section, we will
introduce a new trajectory prediction framework for connected vehicles based on prefix-projected …

… trajectory prediction of surrounding vehicles is crucial for the sustainability and safety of
connected and autonomous vehicles … The task of trajectory prediction is challenging because …

… of connected vehicle future trajectory prediction. The goals of this paper are to provide a
new method to demonstrate an early collision warning prediction of connected vehicle and …

… the desired trajectory considering the nearby vehicles. This … the connected vehicles by
integrating vehicle velocity prediction, … the autonomous vehicle and the nearby vehicle. With the …

… Further, this paper focuses on the longitudinal vehicle trajectory prediction without lane-changing
impacts. In the future, we may also add lane-changing impacts into prediction models …

… , a trajectory prediction framework for connected vehicles based on Gaussian Process
regression is introduced. In this work, the Vehicle … -connecting resources available in the vehicles …