In this paper, we present a multivehicle cooperative driving system architecture using
cooperative perception along with experimental validation. For this goal, we first propose a …

In this work, we describe research directed towards cooperative, predictive driver
assistance. We describe predictive driver assistance systems, which aim to make longer …

Cooperative on-ramp merging control for connected automated vehicles (CAVs) has been
extensively investigated. However, they did neglect the connected vehicle identification …

Shared control schemes allow a human driver to work with an automated driving agent in
driver-vehicle systems while retaining the driverʼ s abilities to control. The human driver, as …

This research represents the heterogeneity in car following by a hidden variable driver state,
which could change due to the driver's habit, fatigue, distraction, influence of surrounding …

Recent years have witnessed rapid advancement of automated driving technologies. In this
context, driver-vehicle cooperation as a new interaction paradigm offers an opportunity to …

The development of connected and autonomous vehicle (CAV) technology has received
increasing attention in recent years. Although car‐following behavior in mixed traffic with …

Cooperative driving of human driver and automated system can effectively reduce the
necessity of extremely accurate environment perception of highly automated vehicles, and …

The vicinity of traffic signals is one of the most critical areas in road systems. New
information technology paradigms like vehicle-to-vehicle and vehicle-to-infrastructure …

Integrating large models (LMs) into future vehicles and transportation systems marks a
significant advancement in mobility and transportation technology. Incorporating artificial …