Deep Reinforcement Learning-Based Speed Predictor for Distributionally Robust Eco-Driving

Deep Reinforcement Learning-Based Speed Predictor for Distributionally Robust Eco-Driving

This paper proposes an eco-driving technique for an ego vehicle operating behind a non-communicating leading Heavy-Duty Vehicle (HDV), aimed at minimizing energy consumption while ensuring inter-vehicle distance. A novel data-driven approach based on Deep Reinforcement Learning (DRL) is developed to...

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Bibliographic Details
Main Authors: Rajan Chaudhary, Nalin Kumar Sharma, Rahul Kala, Sri Niwas Singh
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Deep reinforcement learning
distributionally robust
eco-driving
heavy-duty vehicles
leading vehicle observer
model predictive control
Online Access:https://ieeexplore.ieee.org/document/10843212/
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https://ieeexplore.ieee.org/document/10843212/

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