• Corpus ID: 244715128

Energy-Efficient Autonomous Driving Using Cognitive Driver Behavioral Models and Reinforcement Learning

@inproceedings{Li2021EnergyEfficientAD,
  title={Energy-Efficient Autonomous Driving Using Cognitive Driver Behavioral Models and Reinforcement Learning},
  author={Huayi Li and Nan I. Li and Ilya V. Kolmanovsky and Anouck R. Girard},
  year={2021}
}
Autonomous driving technologies are expected to not only improve mobility and road safety but also bring energy e ciency benefits. In the foreseeable future, autonomous vehicles (AVs) will operate on roads shared with human-driven vehicles. To maintain safety and liveness while simultaneously minimizing energy consumption, the AV planning and decision-making process should account for interactions between the autonomous ego vehicle and surrounding human-driven vehicles. In this chapter, we… 
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