IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i1p858-d1023716.html
   My bibliography  Save this article

A Study on the Psychological Field Model of Drivers in Traffic Conflict Environments

Author

Listed:
  • Shunmei Gong

    (National Engineering Research Center of Coal Mine Water Hazard Controlling, School of Resources and Civil Engineering, Suzhou University, Suzhou 234000, China)

  • Songbao Feng

    (National Engineering Research Center of Coal Mine Water Hazard Controlling, School of Resources and Civil Engineering, Suzhou University, Suzhou 234000, China)

  • Lemei Yu

    (Jiangsu Weixin Engineering Consulting Co., Ltd., Nanjing 210014, China)

  • Shiquan Wang

    (National Engineering Research Center of Coal Mine Water Hazard Controlling, School of Resources and Civil Engineering, Suzhou University, Suzhou 234000, China)

  • Yuanyuan Chen

    (National Engineering Research Center of Coal Mine Water Hazard Controlling, School of Resources and Civil Engineering, Suzhou University, Suzhou 234000, China)

  • Qigui Zhang

    (National Engineering Research Center of Coal Mine Water Hazard Controlling, School of Resources and Civil Engineering, Suzhou University, Suzhou 234000, China)

  • Qiang Xu

    (National Engineering Research Center of Coal Mine Water Hazard Controlling, School of Resources and Civil Engineering, Suzhou University, Suzhou 234000, China)

  • Tianfeng Zhou

    (National Engineering Research Center of Coal Mine Water Hazard Controlling, School of Resources and Civil Engineering, Suzhou University, Suzhou 234000, China)

Abstract

Most current traffic safety evaluations using traffic conflict techniques are based on the principles of vehicle dynamics and kinematics. In these evaluations, a lack of consideration of the coupling mechanism among drivers, road users and the road environment leads to a large limitation in the practical application of such evaluations. In this paper, we firstly considered the driver characteristics in traffic conflicts and introduced the electric field model to establish the psychological field model of a driver in a conflict environment and to obtain the psychological field strength of the driver. Secondly, based on the classification criteria of traffic conflict severity, the psychological field strengths of drivers in different traffic conflict scenarios were categorized, and the range values of psychological field strengths of different severity levels were obtained. Finally, the analysis of the experimental results showed that the mean value and standard deviation of the drivers’ mental field strengths were the largest in the opposite-direction conflict, indicating the largest dispersion of the field strengths; in the construction conflict, the mean value and standard deviation of the drivers’ mental field strengths were the smallest, indicating the smallest dispersion of the field strengths.

Suggested Citation

  • Shunmei Gong & Songbao Feng & Lemei Yu & Shiquan Wang & Yuanyuan Chen & Qigui Zhang & Qiang Xu & Tianfeng Zhou, 2023. "A Study on the Psychological Field Model of Drivers in Traffic Conflict Environments," Sustainability, MDPI, vol. 15(1), pages 1-16, January.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:1:p:858-:d:1023716
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/1/858/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/1/858/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Huiying Wen & N. N. Sze & Qiang Zeng & Sangen Hu, 2019. "Effect of Music Listening on Physiological Condition, Mental Workload, and Driving Performance with Consideration of Driver Temperament," IJERPH, MDPI, vol. 16(15), pages 1-12, August.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Fanyu Wang & Junyou Zhang & Shufeng Wang & Sixian Li & Wenlan Hou, 2020. "Analysis of Driving Behavior Based on Dynamic Changes of Personality States," IJERPH, MDPI, vol. 17(2), pages 1-17, January.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:15:y:2023:i:1:p:858-:d:1023716. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.