An energy-efficient driving method for connected and automated vehicles based on reinforcement learning

HIGHLIGHTS

• who: Haitao Min et al. from the State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun, China have published the Article: An Energy-Efficient Driving Method for Connected and Automated Vehicles Based on Reinforcement Learning, in the Journal: Machines 2023, 11, 168. of /2023/
• what: The comparison of energy consumption per 100 km shows that the model has the best energy efficiency, reducing energy consumption by 9.3% compared to the model without prediction information, 21.9% compared to the model without considering energy efficiency, and 16.1% compared to the rule-based . . .
  

   

  

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