Automated Vehicles (AVs) promise significant advances in transportation. Critical to these
improvements is understanding AVs' longitudinal behavior, relying heavily on real-world …

This paper presents a comprehensive review of trajectory data of Advanced Driver
Assistance System equipped-vehicle, with the aim of precisely model of Autonomous …

Predicting the movement of other road users is beneficial for improving automated vehicle
(AV) performance. However, the relationship between the time horizon associated with …

Autonomous vehicle (AV) technology holds great potential in enhancing traffic safety,
elevating roadway capacity, and assisting AV management and development (Litman, 2020; …

This study aims at evaluating the performance of three commonly used car-following models
in representing the longitudinal movement of autonomous vehicles (AVs) following …

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 …

During the transition period, the interactions between human-driven vehicles (HVs) and
autonomous vehicles (AVs), especially the car-following behaviors, need to be analyzed …

The past few years have been witness to an increase in autonomous vehicle (AV)
development and testing. However, even with a fully developed and comprehensively tested …

We present Pylot, a platform for autonomous vehicle (AV) research and development, built
with the goal to allow researchers to study the effects of the latency and accuracy of their …

Though automated vehicles (AVs) are believed to play a crucial role in future transport,
human driving vehicles will share the road with automated vehicles for a relatively long …