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 …

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

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

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 …

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

Human driven vehicles (HDVs) with selfish objectives cause low traffic efficiency in an un-
signalized intersection. On the other hand, autonomous vehicles can overcome this …

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

Active Traffic Management strategies are often adopted in real-time to address such sudden
flow breakdowns. When queuing is imminent, Speed Harmonization (SH), which adjusts …

Connected Autonomous Vehicle (CAV) Network can be defined as a collection of CAVs
operating at different locations on a multilane corridor, which provides a platform to facilitate …

With the acceleration of urbanization in the world, urban traffic congestion has become an
urgent challenge in most cities. Adaptive traffic signal control is the most approved control …