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Differences in Driving Intention Transitions Caused by Driver’s Emotion Evolutions

Author

Listed:
  • Yaqi Liu

    (School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo 255000, China)

  • Xiaoyuan Wang

    (College of Electromechanical Engineering, Qingdao University of Science & Technology, Qingdao 266000, China
    Joint Laboratory for Internet of Vehicles, Ministry of Education-China Mobile Communications Corporation, Tsinghua University, Beijing 100048, China)

Abstract

Joining worldwide efforts to understand the relationship between driving emotion and behavior, the current study aimed at examining the influence of emotions on driving intention transition. In Study 1, taking a car-following scene as an example, we designed the driving experiments to obtain the driving data in drivers’ natural states, and a driving intention prediction model was constructed based on the HMM. Then, we analyzed the probability distribution and transition probability of driving intentions. In Study 2, we designed a series of emotion-induction experiments for eight typical driving emotions, and the drivers with induced emotion participated in the driving experiments similar to Study 1. Then, we obtained the driving data of the drivers in eight typical emotional states, and the driving intention prediction models adapted to the driver’s different emotional states were constructed based on the HMM severally. Finally, we analyzed the probabilistic differences of driving intention in divers’ natural states and different emotional states, and the findings showed the changing law of driving intention probability distribution and transfer probability caused by emotion evolution. The findings of this study can promote the development of driving behavior prediction technology and an active safety early warning system.

Suggested Citation

  • Yaqi Liu & Xiaoyuan Wang, 2020. "Differences in Driving Intention Transitions Caused by Driver’s Emotion Evolutions," IJERPH, MDPI, vol. 17(19), pages 1-22, September.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:19:p:6962-:d:417940
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    References listed on IDEAS

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    Cited by:

    1. Yaqi Liu & Xiaoyuan Wang & Longfei Chen & Shijie Liu & Junyan Han & Huili Shi & Fusheng Zhong, 2022. "Driver’s Visual Attention Characteristics and Their Emotional Influencing Mechanism under Different Cognitive Tasks," IJERPH, MDPI, vol. 19(9), pages 1-28, April.
    2. Xiaoyuan Wang & Yaqi Liu & Longfei Chen & Huili Shi & Junyan Han & Shijie Liu & Fusheng Zhong, 2022. "Research on Emotion Activation Efficiency of Different Drivers," Sustainability, MDPI, vol. 14(21), pages 1-27, October.

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