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

Huayi Li; Nan Li; Ilya Kolmanovsky; Anouck Girard

doi:10.1007/978-3-031-06780-8_10

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

Huayi Li, Nan Li, Ilya Kolmanovsky, Anouck Girard

Mechanical and Aerospace Engineering

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

1 Scopus citations

Abstract

Autonomous driving technologies are expected to not only improve mobility and road safety but also bring energy efficiency 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 describe a framework for developing energy-efficient autonomous driving policies on shared roads by exploiting human-driver behavior modeling based on cognitive hierarchy theory and reinforcement learning.

Original language	English
Title of host publication	Lecture Notes in Intelligent Transportation and Infrastructure
Pages	283-305
Number of pages	23
DOIs	https://doi.org/10.1007/978-3-031-06780-8_10
State	Published - 2023

Publication series

Name	Lecture Notes in Intelligent Transportation and Infrastructure
Volume	Part F1376
ISSN (Print)	2523-3440
ISSN (Electronic)	2523-3459

Bibliographical note

Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

ASJC Scopus subject areas

Computer Science Applications
Automotive Engineering
Control and Systems Engineering
Transportation

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-3-031-06780-8_10

Cite this

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Energy-Efficient Autonomous Driving Using Cognitive Driver Behavioral Models and Reinforcement Learning. / Li, Huayi; Li, Nan; Kolmanovsky, Ilya et al.
Lecture Notes in Intelligent Transportation and Infrastructure. 2023. p. 283-305 (Lecture Notes in Intelligent Transportation and Infrastructure; Vol. Part F1376).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

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