Reinforcement learning-based approach for minimizing energy loss of driving platoon decisions
Z Gu, Z Liu, Q Wang, Q Mao, Z Shuai, Z Ma - Sensors, 2023 - mdpi.com
Reinforcement learning (RL) methods for energy saving and greening have recently
appeared in the field of autonomous driving. In inter-vehicle communication (IVC), a feasible …
appeared in the field of autonomous driving. In inter-vehicle communication (IVC), a feasible …
A reinforcement learning-based vehicle platoon control strategy for reducing energy consumption in traffic oscillations
The vehicle platoon will be the most dominant driving mode on future roads. To the best of
our knowledge, few reinforcement learning (RL) algorithms have been applied in vehicle …
our knowledge, few reinforcement learning (RL) algorithms have been applied in vehicle …
A reinforcement learning algorithm for speed optimization and optimal energy management of advanced driver assistance systems and connected vehicles
Y Shim, C Mollo - SAE international journal of commercial vehicles, 2021 - sae.org
This article describes the application of Reinforcement Learning (RL) with an embedded
heuristic algorithm to a multi-objective hybrid vehicle optimization. A multi-objective …
heuristic algorithm to a multi-objective hybrid vehicle optimization. A multi-objective …
Socially Intelligent Reinforcement Learning for Optimal Automated Vehicle Control in Traffic Scenarios
H Taghavifar, C Wei… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In this paper, a novel approach is presented for modeling the interaction dynamics between
an ego car and a bicycle in a traffic scenario using a hybrid reinforcement learning …
an ego car and a bicycle in a traffic scenario using a hybrid reinforcement learning …
Eco-driving at signalized intersections: a parameterized reinforcement learning approach
X Jiang, J Zhang, D Li - Transportmetrica B: Transport Dynamics, 2023 - Taylor & Francis
This paper proposes an eco-driving framework for electric connected vehicles (CVs) based
on reinforcement learning (RL) to improve vehicle energy efficiency at signalized …
on reinforcement learning (RL) to improve vehicle energy efficiency at signalized …
Application and evaluation of the reinforcement learning approach to eco-driving at intersections under infrastructure-to-vehicle communications
Eco-driving behavior is able to improve vehicles' fuel consumption efficiency and minimize
exhaust emissions, especially with the presence of infrastructure-to-vehicle (I2V) …
exhaust emissions, especially with the presence of infrastructure-to-vehicle (I2V) …
An intelligent path planning scheme of autonomous vehicles platoon using deep reinforcement learning on network edge
Recent advancements in Intelligent Transportation Systems suggest that the roads will
gradually be filled with autonomous vehicles that are able to drive themselves while …
gradually be filled with autonomous vehicles that are able to drive themselves while …
Eco-driving for Electric Connected Vehicles at Signalized Intersections: A Parameterized Reinforcement Learning approach
X Jiang, J Zhang, D Li - arXiv preprint arXiv:2206.12065, 2022 - arxiv.org
This paper proposes an eco-driving framework for electric connected vehicles (CVs) based
on reinforcement learning (RL) to improve vehicle energy efficiency at signalized …
on reinforcement learning (RL) to improve vehicle energy efficiency at signalized …
A study of using a reinforcement learning method to improve fuel consumption of a connected vehicle with signal phase and timing data
A Phan, HS Yoon - 2020 - sae.org
Connected and automated vehicles (CAVs) promise to reshape two areas of the mobility
industry: the transportation and driving experience. The connected feature of the vehicle …
industry: the transportation and driving experience. The connected feature of the vehicle …
Eco-Driving Strategy Design of Connected Vehicle among Multiple Signalized Intersections Using Constraint-enforced Reinforcement Learning
Optimizing speed profiles at urban signalized intersections, commonly referred to as an eco-
driving strategy, is acknowledged as a promising approach to improving vehicle energy …
driving strategy, is acknowledged as a promising approach to improving vehicle energy …