Intersection control with connected and automated vehicles: A review
Purpose-This paper aims to review the studies on intersection control with connected and
automated vehicles (CAVs). Design/methodology/approach-The most seminal and recent …
automated vehicles (CAVs). Design/methodology/approach-The most seminal and recent …
Hybrid deep reinforcement learning based eco-driving for low-level connected and automated vehicles along signalized corridors
Q Guo, O Angah, Z Liu, XJ Ban - Transportation Research Part C …, 2021 - Elsevier
Eco-Driving has great potential in reducing the fuel consumption of road vehicles, especially
under the connected and automated vehicles (CAVs) environment. Traditional model-based …
under the connected and automated vehicles (CAVs) environment. Traditional model-based …
Automated eco-driving in urban scenarios using deep reinforcement learning
Urban settings are challenging environments to implement eco-driving strategies for
automated vehicles. It is often assumed that sufficient information on the preceding vehicle …
automated vehicles. It is often assumed that sufficient information on the preceding vehicle …
A Survey on Intelligent Internet of Things: Applications, Security, Privacy, and Future Directions
The rapid advances in the Internet of Things (IoT) have promoted a revolution in
communication technology and offered various customer services. Artificial intelligence (AI) …
communication technology and offered various customer services. Artificial intelligence (AI) …
Model-based reinforcement learning for eco-driving control of electric vehicles
With the development of autonomous vehicles, research on energy-efficient eco-driving is
becoming increasingly important. The optimal control problem of determining the speed …
becoming increasingly important. The optimal control problem of determining the speed …
Adaptive speed planning of connected and automated vehicles using multi-light trained deep reinforcement learning
Through shared real-time traffic information and perception of complex environments,
connected and automated vehicles (CAVs) are endowed with global decision-making …
connected and automated vehicles (CAVs) are endowed with global decision-making …
Safe model-based off-policy reinforcement learning for eco-driving in connected and automated hybrid electric vehicles
Deep Reinforcement Learning (DRL) has recently been applied to eco-driving to intelligently
reduce fuel consumption and travel time. While previous studies synthesize simulators and …
reduce fuel consumption and travel time. While previous studies synthesize simulators and …
Integrated eco-driving automation of intelligent vehicles in multi-lane scenario via model-accelerated reinforcement learning
The development of intelligent driving technologies is expected to have the potential in
energy economics. Some reported studies mainly focused on the economical driving …
energy economics. Some reported studies mainly focused on the economical driving …
Platoon-centered control for eco-driving at signalized intersection built upon hybrid MPC system, online learning and distributed optimization part I: Modeling and …
Inspired by connected and autonomous vehicle (CAV) technologies, extensive studies have
developed open-loop vehicle-level trajectory planning or speed advisory to promote eco …
developed open-loop vehicle-level trajectory planning or speed advisory to promote eco …
A deep reinforcement learning framework for eco-driving in connected and automated hybrid electric vehicles
Connected and Automated Vehicles (CAVs), in particular those with multiple power sources,
have the potential to significantly reduce fuel consumption and travel time in real-world …
have the potential to significantly reduce fuel consumption and travel time in real-world …