This paper focuses on the lane-changing trajectory planning (LTP) process in the automatic
driving technologies. Existing studies on the LTP algorithms are primarily the static planning …

The validity of any traffic simulation model depends on its ability to generate representative
driver acceleration profiles. This paper studies the effectiveness of recurrent neural networks …

Simulation forms the backbone of modern self-driving development. Simulators help
develop, test, and improve driving systems without putting humans, vehicles, or their …

Predicting the future speed of the ego-vehicle is a necessary component of many Intelligent
Transportation Systems (ITS) applications, in particular for safety and energy management …

This paper describes a dynamic trajectory planning method for lane-changing maneuver of
connected and automated vehicles (CAVs). The proposed dynamic lane-changing trajectory …

Current autonomous vehicle (AV) simulators are built to provide large-scale testing required
to prove capabilities under varied conditions in controlled, repeatable fashion. However …

Lane changing is a common driving behavior in traffic, and the algorithm of lane-changing
maneuver is an indispensable part of the design of autonomous vehicle control and …

Work zones exist widely in cities of many countries and have a significant negative impact
on city traffic. The majority of the existing studies only focused on freeway work zones, while …

A new continuum version of the car following FVD-Ds model is developed by using a series
expansion of the headway in terms of the density. FVD-Ds model is the extension of the full …

A cooperative adaptive cruise control (CACC) system targeted to obtain a high level of user
acceptance must replicate the driving experience in each CACC vehicle without …