In this paper, an automated driving system (ADS) data acquisition and analytics platform for
vehicle trajectory extraction, reconstruction, and evaluation based on connected automated …

As the technology of autonomous vehicle develops, online hailing autonomous taxi system
is regarded as one of the most popular public transportation services in the future. Studies …

As the market penetration rate of automated vehicles (AVs) increases, there will be a
transition period when the traffic stream is composed of both AVs and human-driven …

Previous empirical behavior analysis on Autonomous Vehicles (AV) mainly focused on
vehicles with Adaptive Cruise Control (ACC) system due to the lack of high-level AV dataset …

Car-following is a control process in which a following vehicle adjusts its acceleration to
keep a safe distance from the lead vehicle. Recently, there has been a booming of data …

With the increasing advancements in autonomous vehicle (AV) technologies, the forecasts
of AV market shares seem to follow an ever-growing trend. This leads to the inherent need …

The development of autonomous driving technology will lead to a transition period during
which human-driven vehicles (HVs) will share the road with autonomous vehicles (AVs) …

Accurate modeling of car-following behaviors is crucial for autonomous driving systems.
While recent advancements in large language models (LLMs) have shown promise in …

This paper presents a comprehensive review of trajectory datasets from vehicles equipped
with Advanced Driver Assistance Systems, with the aim of precisely modeling the behavior …

This study aims to quantify the impact of discretionary lane-changing (DLC) on following
vehicles (FVs) in the target lane using real-world dataset. The Waymo Open Dataset is used …