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Analysis of Drivers’ Eye Movements on Roundabouts: A Driving Simulator Study

Author

Listed:
  • Amin Azimian

    (School of Architecture, The University of Texas at Austin, Austin, TX 78712, USA)

  • Carlos Alberto Catalina Ortega

    (Departamento de Ingeniería de Organización, Universidad de Burgos, 09006 Burgos, Spain)

  • Juan Maria Espinosa

    (Departamento de Ingeniería de Organización, Universidad de Burgos, 09006 Burgos, Spain)

  • Miguel Ángel Mariscal

    (Departamento de Ingeniería de Organización, Universidad de Burgos, 09006 Burgos, Spain)

  • Susana García-Herrero

    (Departamento de Ingeniería de Organización, Universidad de Burgos, 09006 Burgos, Spain)

Abstract

Roundabouts are considered as one of the most efficient forms of intersection that substantially reduce the types of crashes that result in injury or loss of life. Nevertheless, they do not eliminate collision risks, especially when human error plays such a large role in traffic crashes. In this study, we used a driving simulator and an eye tracker to investigate drivers’ eye movements under cell phone-induced distraction. A total of 45 drivers participated in two experiments conducted under distracted and non-distracted conditions. The results indicated that, under distracting conditions, the drivers’ fixation duration decreased significantly on roundabouts, and pupil size increased significantly.

Suggested Citation

  • Amin Azimian & Carlos Alberto Catalina Ortega & Juan Maria Espinosa & Miguel Ángel Mariscal & Susana García-Herrero, 2021. "Analysis of Drivers’ Eye Movements on Roundabouts: A Driving Simulator Study," Sustainability, MDPI, vol. 13(13), pages 1-10, July.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:13:p:7463-:d:588329
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    References listed on IDEAS

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    1. Lisheng Jin & Qingning Niu & Haijing Hou & Huacai Xian & Yali Wang & Dongdong Shi, 2012. "Driver Cognitive Distraction Detection Using Driving Performance Measures," Discrete Dynamics in Nature and Society, Hindawi, vol. 2012, pages 1-12, November.
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    Cited by:

    1. Yu-Ling Hsieh & Ming-Feng Lee & Guey-Shya Chen & Wei-Jie Wang, 2022. "Application of Visitor Eye Movement Information to Museum Exhibit Analysis," Sustainability, MDPI, vol. 14(11), pages 1-15, June.
    2. Qin Zeng & Yun Chen & Xiazhong Zheng & Meng Zhang & Donghui Li & Qilin Hu, 2023. "Exploring the Visual Attention Mechanism of Long-Distance Driving in an Underground Construction Cavern: Eye-Tracking and Simulated Driving," Sustainability, MDPI, vol. 15(12), pages 1-25, June.
    3. Qin Zeng & Yun Chen & Xiazhong Zheng & Shiyu He & Donghui Li & Benwu Nie, 2023. "Optimization of Underground Cavern Sign Group Layout Using Eye-Tracking Technology," Sustainability, MDPI, vol. 15(16), pages 1-32, August.

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