Hybrid reinforcement learning-based eco-driving strategy for connected and automated vehicles at signalized intersections
Taking advantage of both vehicle-to-everything (V2X) communication and automated driving
technology, connected and automated vehicles are quickly becoming one of the …
technology, connected and automated vehicles are quickly becoming one of the …
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 …
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 …
[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 …
Learning eco-driving strategies at signalized intersections
V Jayawardana, C Wu - 2022 European Control Conference …, 2022 - ieeexplore.ieee.org
Signalized intersections in arterial roads result in persistent vehicle idling and excess
accelerations, contributing to fuel consumption and CO 2 emissions. There has thus been a …
accelerations, contributing to fuel consumption and CO 2 emissions. There has thus been a …
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 …
Digital twin empowered mobile edge computing for intelligent vehicular lane-changing
With automated driving forthcoming, lane-changing for Connected and Automated Vehicles
(CAVs) has received wide attention. The main challenge is that lane-changing requires not …
(CAVs) has received wide attention. The main challenge is that lane-changing requires not …
Deep reinforcement learning and reward shaping based eco-driving control for automated HEVs among signalized intersections
J Li, X Wu, M Xu, Y Liu - Energy, 2022 - Elsevier
In a connected traffic environment with signalized intersections, eco-driving control needs to
co-optimize fuel economy (fuel consumption), driving safety (collisions and red lights), and …
co-optimize fuel economy (fuel consumption), driving safety (collisions and red lights), and …
[HTML][HTML] Connected autonomous vehicles for improving mixed traffic efficiency in unsignalized intersections with deep reinforcement learning
Human driven vehicles (HDVs) with selfish objectives cause low traffic efficiency in an un-
signalized intersection. On the other hand, autonomous vehicles can overcome this …
signalized intersection. On the other hand, autonomous vehicles can overcome this …
Dynamic eco-driving near signalized intersections: Systematic review and future research directions
Advancements in the field of telematics have empowered the development of connected
vehicle (CV) applications, which optimize the energy and traffic efficiency of vehicular traffic …
vehicle (CV) applications, which optimize the energy and traffic efficiency of vehicular traffic …