An enhanced eco-driving strategy based on reinforcement learning for connected electric vehicles: cooperative velocity and lane-changing control

An enhanced eco-driving strategy based on reinforcement learning for connected electric vehicles: cooperative velocity and lane-changing control

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 connected environment. Design/methodology/approach – In this paper, an enhanced eco-driving control strategy based on an advan...

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Bibliographic Details
Main Authors: Haitao Ding, Wei Li, Nan Xu, Jianwei Zhang
Format: Article
Language:English
Published: Tsinghua University Press 2022-10-01
Series:Journal of Intelligent and Connected Vehicles
Subjects:
ecological driving
electric vehicles
reinforcement learning in hybrid action space
velocity and lane-changing control
reward function
Online Access:https://www.emerald.com/insight/content/doi/10.1108/JICV-07-2022-0030/full/pdf?title=an-enhanced-eco-driving-strategy-based-on-reinforcement-learning-for-connected-electric-vehicles-cooperative-velocity-and-lane-changing-control

Internet

https://www.emerald.com/insight/content/doi/10.1108/JICV-07-2022-0030/full/pdf?title=an-enhanced-eco-driving-strategy-based-on-reinforcement-learning-for-connected-electric-vehicles-cooperative-velocity-and-lane-changing-control

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