A Study of Deep Learning Model for Driver Takeover Intention

With the Automated Vehicle (AV) technology gradually becoming stable enough to assist human drivers to do the driving tasks, drivers could divert their attention to non-driving related tasks while using the AV. Existing studies have developed models to predict drivers’ takeover performance upon requests from AVs, however, few work developed predictive models to predict drivers’ takeover intention. In order to design a robust automated driving system, it is important to predict drivers’ takeover intention in AVs and potentially alter the driving styles of AVs to reduce unnecessary takeover behavior from human drivers. In this work, we developed a multiple input Convolutional Neural Network (CNN) model to predict drivers’ takeover intention in automated vehicles with data from 29 human drivers with the time window ranging from 1-4 seconds were utilized the time series data. The results showed that the developed CNN model predicted the active takeover intention with accuracy up to 96.7% using the windows size of 4 seconds. The developed model could be further applied to AV systems to help AV systems to predict drivers’ intentions before a takeover action and optimize the driving styles of AVs to fulfill drivers’ needs in human-AV interaction.

Advisor: Yiqi Zhang, Assistant Professor, The Harold and Inge Marcus Department of Industrial and Manufacturing Engineering

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Work Title A Study of Deep Learning Model for Driver Takeover Intention
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Penn State
Creators
  1. Yu-Hao Chang
Keyword
  1. Driving Automation
  2. Driver Takeover Intention
  3. Deep Learning
License In Copyright (Rights Reserved)
Work Type Research Paper
Acknowledgments
  1. I would like to express my deep gratitude to Professor Zhang, my research advisor and Professor Ma, my research paper reader, for their patient guidance, enthusiastic encouragement and useful critiques of this research work. My grateful thanks to Mr. Mishra Rohit for his help in doing the modeling. I would also like to thank to Mr. Zheng Ma in HTI laboratory of the department of Industrial Engineering for his help in offering me the resources in running the simulator. Finally, I would like to thank my parents for their support and encouragement throughout my study.
Publication Date December 31, 2021
Deposited March 22, 2021

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  • Created

    March 22, 2021 12:00 by ybc5271

  • Added Creator Yu-Hao Chang

    March 22, 2021 12:00 by ybc5271

  • Updated Acknowledgments Show Changes

    March 22, 2021 12:17 by ybc5271

    Acknowledgments
    • I would like to express my deep gratitude to Professor Zhang, my research advisor and Professor Ma, my research paper reader, for their patient guidence, enthusiastic encouragement and useful critiques of this research work. My grateful thanks to Mr. Mishra Rohit for his help in doing the modeling. I would also like to thank to Mr. Zheng Ma the technicians of the lab
  • Updated Acknowledgments Show Changes

    March 22, 2021 12:20 by ybc5271

    Acknowledgments
    • I would like to express my deep gratitude to Professor Zhang, my research advisor and Professor Ma, my research paper reader, for their patient guidence, enthusiastic encouragement and useful critiques of this research work. My grateful thanks to Mr. Mishra Rohit for his help in doing the modeling. I would also like to thank to Mr. Zheng Ma the technicians of the lab
    • I would like to express my deep gratitude to Professor Zhang, my research advisor and Professor Ma, my research paper reader, for their patient guidence, enthusiastic encouragement and useful critiques of this research work. My grateful thanks to Mr. Mishra Rohit for his help in doing the modeling. I would also like to thank to Mr. Zheng Ma in HTI laboratory of the department of Industrial Engineering for his help in offering me the resources in running the simulator. Finally, I would like to thank my parents for their support and encouragement throughout my study.
  • Added Master Paper_Yu-Hao Chang.pdf

    March 22, 2021 12:21 by ybc5271

  • Updated Acknowledgments, License Show Changes

    March 22, 2021 12:27 by ybc5271

    Acknowledgments
    • I would like to express my deep gratitude to Professor Zhang, my research advisor and Professor Ma, my research paper reader, for their patient guidence, enthusiastic encouragement and useful critiques of this research work. My grateful thanks to Mr. Mishra Rohit for his help in doing the modeling. I would also like to thank to Mr. Zheng Ma in HTI laboratory of the department of Industrial Engineering for his help in offering me the resources in running the simulator. Finally, I would like to thank my parents for their support and encouragement throughout my study.
    • I would like to express my deep gratitude to Professor Zhang, my research advisor and Professor Ma, my research paper reader, for their patient guidance, enthusiastic encouragement and useful critiques of this research work. My grateful thanks to Mr. Mishra Rohit for his help in doing the modeling. I would also like to thank to Mr. Zheng Ma in HTI laboratory of the department of Industrial Engineering for his help in offering me the resources in running the simulator. Finally, I would like to thank my parents for their support and encouragement throughout my study.
    License
    • https://rightsstatements.org/page/InC/1.0/
  • Published

    March 22, 2021 12:27 by ybc5271

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    March 22, 2022 16:17 by [unknown user]

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