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 …
Deep reinforcement learning-based eco-driving control for connected electric vehicles at signalized intersections considering traffic uncertainties
Eco-driving control poses great energy-saving potential at multiple signalized intersection
scenarios. However, traffic uncertainties can often lead to errors in ecological velocity …
scenarios. However, traffic uncertainties can often lead to errors in ecological velocity …
A deep reinforcement learning based hierarchical eco-driving strategy for connected and automated HEVs
X Wu, J Li, C Su, J Fan, M Xu - IEEE Transactions on Vehicular …, 2023 - ieeexplore.ieee.org
The advancement in vehicle connectivity and autonomy has fostered the development of
eco-driving technology, aimed at optimizing driving behaviors to reduce vehicle energy …
eco-driving technology, aimed at optimizing driving behaviors to reduce vehicle energy …
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 …
Overcoming driving challenges in complex urban traffic: A multi-objective eco-driving strategy via safety model based reinforcement learning
J Li, X Wu, J Fan, Y Liu, M Xu - Energy, 2023 - Elsevier
This study proposes a novel eco-driving control strategy for connected and automated
hybrid electric vehicles, which utilizes deep reinforcement learning (DRL) to optimize …
hybrid electric vehicles, which utilizes deep reinforcement learning (DRL) to optimize …
[HTML][HTML] Model predictive control and deep reinforcement learning based energy efficient eco-driving for battery electric vehicles
K Yeom - Energy Reports, 2022 - Elsevier
Automated self-driving vehicles not only allow of improved energy saving but also better
traffic flow. In particular, with the rapid technological advance of autonomous self-driving …
traffic flow. In particular, with the rapid technological advance of autonomous self-driving …
[PDF][PDF] An enhanced eco-driving strategy based on reinforcement learning for connected electric vehicles: Cooperative velocity and lane-changing control
H Ding, W Li, N Xu, J Zhang - Journal of Intelligent and …, 2022 - ieeexplore.ieee.org
Purpose-This study aims to propose an enhanced eco-driving strategy based on
reinforcement learning (RL) to alleviate the mileage anxiety of electric vehicles (EVs) in the …
reinforcement learning (RL) to alleviate the mileage anxiety of electric vehicles (EVs) in the …
Actor-critic based deep reinforcement learning framework for energy management of extended range electric delivery vehicles
In recent years, reinforcement learning (RL) algorithms have been successfully used in
energy management strategies (EMS) for hybrid electric vehicles (HEVs) and extended …
energy management strategies (EMS) for hybrid electric vehicles (HEVs) and extended …
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 …
Navigating electric vehicles along a signalized corridor via reinforcement learning: Toward adaptive eco-driving control
J Zhang, X Jiang, S Cui, C Yang… - Transportation Research …, 2022 - journals.sagepub.com
One problem associated with the operation of electric vehicles (EVs) is the limited battery,
which cannot guarantee their endurance. The increasing electricity consumption will also …
which cannot guarantee their endurance. The increasing electricity consumption will also …