Cooperative formation of autonomous vehicles in mixed traffic flow: Beyond platooning
Cooperative formation and control of autonomous vehicles (AVs) promise increased
efficiency and safety on public roads. In single-lane mixed traffic consisting of AVs and …
efficiency and safety on public roads. In single-lane mixed traffic consisting of AVs and …
Leading cruise control in mixed traffic flow: System modeling, controllability, and string stability
Connected and autonomous vehicles (CAVs) have great potential to improve road
transportation systems. Most existing strategies for CAVs' longitudinal control focus on …
transportation systems. Most existing strategies for CAVs' longitudinal control focus on …
Shared-phase-dedicated-lane based intersection control with mixed traffic of human-driven vehicles and connected and automated vehicles
Connected and automated vehicles (CAVs) and human-driven vehicles (HVs) are expected
to coexist in the near future. CAV-dedicated lanes and phases have been explored to …
to coexist in the near future. CAV-dedicated lanes and phases have been explored to …
Modeling impacts of cooperative adaptive cruise control on mixed traffic flow in multi-lane freeway facilities
Abstract Modeling impacts of Cooperative Adaptive Cruise Control (CACC) on multi-lane
freeway traffic can be challenging. It requires accurate description of the formation and …
freeway traffic can be challenging. It requires accurate description of the formation and …
Safety-critical traffic control by connected automated vehicles
Connected automated vehicles (CAVs) have shown great potential in improving traffic
throughput and stability. Although various longitudinal control strategies have been …
throughput and stability. Although various longitudinal control strategies have been …
Online longitudinal trajectory planning for connected and autonomous vehicles in mixed traffic flow with deep reinforcement learning approach
This manuscript presents an Adam optimization-based Deep Reinforcement Learning model
for Mixed Traffic Flow control (ADRL-MTF), so as to guide Connected and Autonomous …
for Mixed Traffic Flow control (ADRL-MTF), so as to guide Connected and Autonomous …
Distributed cooperative reinforcement learning-based traffic signal control that integrates V2X networks' dynamic clustering
W Liu, G Qin, Y He, F Jiang - IEEE transactions on vehicular …, 2017 - ieeexplore.ieee.org
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 …
urgent challenge in most cities. Adaptive traffic signal control is the most approved control …
Cooperative signal-free intersection control using virtual platooning and traffic flow regulation
The emerging technologies of connectivity and automation enable the potential for signal-
free intersection control. In this context, virtual platooning is posited to be an innovative …
free intersection control. In this context, virtual platooning is posited to be an innovative …
Modeling adaptive platoon and reservation‐based intersection control for connected and autonomous vehicles employing deep reinforcement learning
As a cutting‐edge strategy to reduce travel delay and fuel consumption, platooning of
connected and autonomous vehicles (CAVs) at signal‐free intersections has become …
connected and autonomous vehicles (CAVs) at signal‐free intersections has become …
Reinforcement Learning based cooperative longitudinal control for reducing traffic oscillations and improving platoon stability
Stop-and-go traffic poses significant challenges to the efficiency and safety of traffic
operations. In this study, a cooperative longitudinal control based on Soft Actor Critic (SAC) …
operations. In this study, a cooperative longitudinal control based on Soft Actor Critic (SAC) …