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Effects of Distracting Behaviors on Driving Workload and Driving Performance in a City Scenario

Author

Listed:
  • Shuang Luo

    (College of Traffic and Transportation, Chongqing Jiaotong University, Chongqing 400074, China)

  • Xinxin Yi

    (Chongqing Chang’an Automobile Co., Ltd., Chongqing 400023, China)

  • Yiming Shao

    (College of Traffic and Transportation, Chongqing Jiaotong University, Chongqing 400074, China)

  • Jin Xu

    (College of Traffic and Transportation, Chongqing Jiaotong University, Chongqing 400074, China)

Abstract

Distractors faced by drivers grow continuously, and concentration on driving becomes increasingly difficult, which has detrimental influences on road traffic safety. The present study aims to investigate changes in driving workload and driving performance caused by distracting tasks. The recruited subjects were requested to drive along a city route in a real vehicle and perform three secondary tasks sequentially. Electrocardiography and driving performance were measured. Heart rate variability (HRV) was adopted to quantitatively analyze the driving workload. Findings show that: (i) increments are noticed in the root mean square differences of successive heartbeat intervals (RMSSD), the standard deviation of normal-to-normal peak (SDNN), the heart rate growth rate (HRGR), and the ratio of low-frequency to high-frequency powers (LF/HF) compared to undistracted driving; (ii) the hands-free phone conversation task has the most negative impacts on driving workload; (iii) vehicle speed reduces due to secondary tasks while changes in longitudinal acceleration exhibit inconsistency; (iv) the experienced drivers markedly decelerate during hands-free phone conversation, and HRGR shows significant differences in both driving experience and gender under distracted driving conditions; (v) correlations exist between HRV and driving performance, and LF/HF correlates positively with SDNN/RMSSD in the hands-free phone conversation and chatting conditions while driving.

Suggested Citation

  • Shuang Luo & Xinxin Yi & Yiming Shao & Jin Xu, 2022. "Effects of Distracting Behaviors on Driving Workload and Driving Performance in a City Scenario," IJERPH, MDPI, vol. 19(22), pages 1-14, November.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:22:p:15191-:d:975909
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    References listed on IDEAS

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    1. Zhen Li & Chang Wang & Rui Fu & Qinyu Sun & Hongjia Zhang, 2020. "What is the difference between perceived and actual risk of distracted driving? A field study on a real highway," PLOS ONE, Public Library of Science, vol. 15(4), pages 1-15, April.
    2. Susana García-Herrero & Juan Diego Febres & Wafa Boulagouas & José Manuel Gutiérrez & Miguel Ángel Mariscal Saldaña, 2021. "Assessment of the Influence of Technology-Based Distracted Driving on Drivers’ Infractions and Their Subsequent Impact on Traffic Accidents Severity," IJERPH, MDPI, vol. 18(13), pages 1-15, July.
    3. Răzvan Gabriel Boboc & Gheorghe Daniel Voinea & Ioana-Diana Buzdugan & Csaba Antonya, 2022. "Talking on the Phone While Driving: A Literature Review on Driving Simulator Studies," IJERPH, MDPI, vol. 19(17), pages 1-27, August.
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