To quantitatively analyze the driving forgiveness of highways, this study incorporates the varying psychological impacts of different road alignments on drivers. Heart rate increment is adopted as the evaluation index, and physiological data of drivers is collected during road experiments. The experimental data are processed and analyzed using MATLAB to investigate the relationship between driving speed and heart rate increment. It is determined that a nonlinear strong correlation exists between the two variables. Accordingly, a polynomial regression model is constructed to represent this relationship. Furthermore, by integrating heart rate inflection points and other relevant information, evaluation criteria for roadway forgiveness are established with heart rate increment as the key index.


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    Titel :

    Evaluation Method of Driving Forgiveness on Highways Based on Drivers’ Heart Rate Increments


    Weitere Titelangaben:

    Smart Innovation, Systems and Technologies


    Beteiligte:
    Gao, Kun (Herausgeber:in) / Bie, Yiming (Herausgeber:in) / Howlett, R. J. (Herausgeber:in) / Jain, Lakhmi C. (Herausgeber:in) / Ta, Jian (Autor:in) / Zou, Zhenyu (Autor:in) / Huang, Jiahui (Autor:in) / Qi, Weiwei (Autor:in)

    Kongress:

    Proceedings of KES-STS International Symposium ; 2024 ; Madeira, Portugal June 19, 2024 - June 21, 2024



    Erscheinungsdatum :

    22.09.2024


    Format / Umfang :

    11 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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