A Comprehensive Eco-Driving Strategy for Connected and Autonomous Vehicles (CAVs) with Microscopic Traffic Simulation Testing Evaluation
O Kavas-Torris, L Guvenc - arXiv preprint arXiv:2206.08306, 2022 - arxiv.org
In this paper, a comprehensive Eco-Driving strategy for CAVs is presented. In this setup,
multiple driving modes calculate speed profiles ideal for their own set of constraints …
multiple driving modes calculate speed profiles ideal for their own set of constraints …
Adaptive eco-cruising control for connected electric vehicles considering a dynamic preceding vehicle
Energy consumption and driving safety of a vehicle are greatly influenced by the driving
behaviors of the vehicle in front (also termed the preceding vehicle). Inappropriate …
behaviors of the vehicle in front (also termed the preceding vehicle). Inappropriate …
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 …
Predictive cruise controller for electric vehicle to save energy and extend battery lifetime
Electric vehicles are considered the most effective solution to the petroleum crisis and
reduction of air pollution. In order to enhance energy efficiency and battery lifetime, this …
reduction of air pollution. In order to enhance energy efficiency and battery lifetime, this …
Velocity optimization of pure electric vehicles with traffic dynamics and driving safety considerations
As Electric Vehicles (EVs) become increasingly popular, their battery-related problems (eg,
short driving range and heavy battery weight) must be resolved as soon as possible …
short driving range and heavy battery weight) must be resolved as soon as possible …
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 …
Multicruise: eco-lane selection strategy with eco-cruise control for connected and automated vehicles
Connected and Automated Vehicles (CAVs) have real-time information from the surrounding
environment by using local on-board sensors, V2X (Vehicle-to-Everything) communications …
environment by using local on-board sensors, V2X (Vehicle-to-Everything) communications …
[HTML][HTML] Research on multi-lane energy-saving driving strategy of connected electric vehicle based on vehicle speed prediction
C Pan, Y Li, J Wang, J Liang, H Jinyama - Green Energy and Intelligent …, 2023 - Elsevier
In order to enhance the energy-saving potential of electric vehicles, a lane change decision
method based on vehicle-to-everything (V2X) is designed to further improve the economics …
method based on vehicle-to-everything (V2X) is designed to further improve the economics …
Energy efficient speed planning of electric vehicles for car-following scenario using model-based reinforcement learning
Eco-driving is a term used to refer to a strategy for operating vehicles so as to minimize
energy consumption. Without any hardware changes, eco-driving is an effective approach to …
energy consumption. Without any hardware changes, eco-driving is an effective approach to …