Review on eco-driving control for connected and automated vehicles
With the development of communication and automation technologies, the great energy-
saving potential of connected and automated vehicles (CAVs) has gradually been …
saving potential of connected and automated vehicles (CAVs) has gradually been …
Co-optimization of eco-driving and energy management for connected HEV/PHEVs near signalized intersections: A review
Z Wang, M Dridi, A El Moudni - Applied Sciences, 2023 - mdpi.com
Currently, road transport constitutes a considerable proportion of global fossil fuel
consumption, as well as CO2 and pollutant emissions. To mitigate transportation energy …
consumption, as well as CO2 and pollutant emissions. To mitigate transportation energy …
Hierarchical speed planning and energy management for autonomous plug-in hybrid electric vehicle in vehicle-following environment
In this paper, a hierarchical energy management control strategy is investigated for
autonomous plug-in hybrid electric vehicle in vehicle-following environment. With the target …
autonomous plug-in hybrid electric vehicle in vehicle-following environment. With the target …
Cooperation-aware lane change maneuver in dense traffic based on model predictive control with recurrent neural network
This paper presents a real-time lane change control framework of autonomous driving in
dense Traffic, which exploits cooperative behaviors of other drivers. This paper focuses on …
dense Traffic, which exploits cooperative behaviors of other drivers. This paper focuses on …
Real-time implementation comparison of urban eco-driving controls
AI Rabinowitz, CC Ang, YH Mahmoud… - … on Control Systems …, 2023 - ieeexplore.ieee.org
Connected autonomous vehicle (CAV) technology has the potential to enable significant
gains in energy economy (EE). Much research attention has been focused on autonomous …
gains in energy economy (EE). Much research attention has been focused on autonomous …
Real-time ecodriving control in electrified connected and autonomous vehicles using approximate dynamic programing
SR Deshpande, S Gupta… - Journal of …, 2022 - asmedigitalcollection.asme.org
Connected and automated vehicles (CAVs), particularly those with a hybrid electric
powertrain, have the potential to significantly improve vehicle energy savings in real-world …
powertrain, have the potential to significantly improve vehicle energy savings in real-world …
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 …
[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 …
Leveraging multiple connected traffic light signals in an energy-efficient speed planner
Connecting automated vehicles to traffic lights can lead to significant energy savings by
enabling them to pass through intersections in an energy-efficient way without unnecessary …
enabling them to pass through intersections in an energy-efficient way without unnecessary …
Ecological velocity planning through signalized intersections: A deep reinforcement learning approach
The use of infrastructure-to-vehicle communication technologies can enable improved
energy efficient autonomous driving. Traditional ecological velocity planning methods have …
energy efficient autonomous driving. Traditional ecological velocity planning methods have …