Human-Lead Cooperative Adaptive Cruise Control (HL-CACC) is regarded as a promising
vehicle platooning technology in real-world implementation. By utilizing a Human-driven …

In this study, a Human-in-the-Platoon CACC (HiP-CACC) controller is proposed for
connected and automated vehicles to “include” human drivers into platooning process. The …

In this study, a Human-Lead-Platoon CACC ((HLP-CACC) controller is proposed for
connected and automated vehicles to “include” human drivers in platooning process. The …

Cooperative Adaptive Cruise Control (CACC) often requires human takeover for tasks such
as exiting a freeway. Direct human takeover can pose significant risks, especially given the …

As autonomous vehicles (AVs) become more prevalent on public roads, they will inevitably
interact with human-driven vehicles (HVs) in mixed traffic scenarios. To ensure safe …

Modeling a human-driven vehicle is a difficult subject since human drivers have a variety of
stochastic behavioral components that influence their driving styles. We develop a …

This paper proposes a model-based deep reinforcement learning (DRL) algorithm for
cooperative adaptive cruise control (CACC) of connected vehicles. Differing from most …

This paper discusses the design of a human-aware cooperative adaptive cruise control
(CACC) system that (i) takes into account driver comfort in autonomous cruise control, and …

As autonomous vehicles (AVs) become more common on public roads, their interaction with
human-driven vehicles (HVs) in mixed traffic is inevitable. This requires new control …

With the development of automatic driving technology and the Internet of Vehicles,
platooning based on control of Connected and Autonomous Vehicles (CAVs) has become …