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Safe Model-Based Off-Policy Reinforcement Learning for Eco-Driving in Connected and Automated Hybrid Electric Vehicles

Journal Article · · IEEE Transactions on Intelligent Vehicles
 [1];  [2];  [2];  [3];  [2]
  1. Center for Automotive Research, The Ohio State University, Columbus, OH, USA; OSTI
  2. Center for Automotive Research, The Ohio State University, Columbus, OH, USA
  3. Department of Electrical and Computer Engineering, The Ohio State University, Columbus, OH, USA
Not provided.
Research Organization:
The Ohio State Univ., Columbus, OH (United States)
Sponsoring Organization:
USDOE Advanced Research Projects Agency - Energy (ARPA-E)
DOE Contract Number:
AR0000794
OSTI ID:
1980523
Journal Information:
IEEE Transactions on Intelligent Vehicles, Journal Name: IEEE Transactions on Intelligent Vehicles Journal Issue: 2 Vol. 7; ISSN 2379-8858
Publisher:
IEEE
Country of Publication:
United States
Language:
English

References (24)

Application and Evaluation of the Reinforcement Learning Approach to Eco-Driving at Intersections under Infrastructure-to-Vehicle Communications journal October 2018
Eco-Driving of Freight Vehicles With Signal Priority on Congested Arterial Roads journal May 2021
Optimal Energy Management for HEVs in Eco-Driving Applications Using Bi-Level MPC journal August 2017
Optimal Ecodriving Control: Energy-Efficient Driving of Road Vehicles as an Optimal Control Problem journal October 2015
An integrated MPC and deep reinforcement learning approach to trams-priority active signal control journal May 2021
Ecological Adaptive Cruise Control for Vehicles With Step-Gear Transmission Based on Reinforcement Learning journal November 2020
Fundamentals of energy efficient driving for combustion engine and electric vehicles: An optimal control perspective journal May 2019
Computation of eco-driving cycles for Hybrid Electric Vehicles: Comparative analysis journal February 2018
Predictive Cruise Control: Utilizing Upcoming Traffic Signal Information for Improving Fuel Economy and Reducing Trip Time journal May 2011
Power-Based Optimal Longitudinal Control for a Connected Eco-Driving System journal October 2016
Vehicle trajectory optimization for hybrid vehicles taking into account battery state-of-charge conference October 2012
A GPU Implementation of a Look-Ahead Optimal Controller for Eco-Driving Based on Dynamic Programming conference June 2021
Ecological Velocity Planning through Signalized Intersections: A Deep Reinforcement Learning Approach conference December 2020
Cloud-Based Velocity Profile Optimization for Everyday Driving: A Dynamic-Programming-Based Solution journal December 2014
Optimal Eco-Driving Control of Connected and Autonomous Vehicles Through Signalized Intersections journal May 2020
Sample-Based Learning Model Predictive Control for Linear Uncertain Systems conference December 2019
Reducing Fuel Consumption by Using Information from Connected and Automated Vehicle Modules to Optimize Propulsion System Control conference April 2019
Energy saving potentials of connected and automated vehicles journal October 2018
A generic dynamic programming Matlab function conference July 2009
An Enhanced Driver Model for Evaluating Fuel Economy on Real-World Routes journal January 2019
Microscopic Traffic Simulation using SUMO conference November 2018
Real-Time Ecodriving Control in Electrified Connected and Autonomous Vehicles Using Approximate Dynamic Programing
  • Deshpande, Shreshta Rajakumar; Gupta, Shobhit; Gupta, Abhishek
  • Journal of Dynamic Systems, Measurement, and Control, Vol. 144, Issue 1 https://doi.org/10.1115/1.4053292
journal January 2022
Safety Augmented Value Estimation From Demonstrations (SAVED): Safe Deep Model-Based RL for Sparse Cost Robotic Tasks journal April 2020
Neural Network Dynamics for Model-Based Deep Reinforcement Learning with Model-Free Fine-Tuning conference May 2018

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