This paper proposes an innovative distributed longitudinal control strategy for connected
automated vehicles (CAVs) in the mixed traffic environment of CAV and human-driven …

This paper proposes a cooperative strategy of connected and automated vehicles (CAVs)
longitudinal control for a mixed connected and automated traffic environment based on deep …

By using kinematic state information obtained through vehicle‐to‐vehicle communications,
connected autonomous vehicles (CAVs) can drive cooperatively to alleviate shockwave …

This study seeks to develop a cooperative platoon control for a platoon mixed with
connected and autonomous vehicles (CAVs) and human-drive vehicles (HDVs), aiming to …

Platooning and coordination are two implementation strategies that are frequently proposed
for traffic control of connected and autonomous vehicles (CAVs) at signal-free intersections …

Through vehicle-to-vehicle (V2V) communication, both human-driven and autonomous
vehicles can actively exchange data, such as velocities and bumper-to-bumper distances …

Abstract Connected Automated Vehicles (CAVs) bring promise of increasing traffic capacity
and energy efficiency by forming platoons with short headways on the road. However at low …

Purpose-This paper aims to present a cooperative adaptive cruise control, called stable
smart driving model (SSDM), for connected and autonomous vehicles (CAVs) in mixed traffic …

Cooperative control of connected and automated vehicles (CAVs) promises smoother traffic
flow. In mixed traffic, where human-driven vehicles with unknown dynamics coexist, data …

This paper proposes a deep reinforcement learning (DRL)‐based distributed longitudinal
control strategy for connected and automated vehicles (CAVs) under communication failure …