To improve the driving safety of high-altitude highway tunnel entrance sections in a fog environment, the physiological changes of drivers during driving in the tunnel entrance section were studied. Firstly, the hypoxia environment was constructed, and the real vehicle test was carried out under different foggy conditions, and the test data such as vehicle speed and heart rate were collected. Secondly, the single factor analysis method was used to test the significant difference in the data, analyze the influence law of tunnel entrance velocity on heart rate. Finally, establish the relationship model between velocity and heart rate. The results show that with the increase in fog concentration, the vehicle speed decreases, and the heart rate increases. The vehicle speed in the dense fog environment was significantly lower than that in the other three fog environments. The heart rate in the dense fog environment was significantly higher than that in the other three fog environments, and the maximum heart rate in the four environments all appeared within the range of 50 m from the tunnel entrance to the tunnel entrance. The relationship model showed that there was a strong correlation between speed and heart rate, and excessive speed would lead to increased heart rate and enhanced physiological discomfort for drivers. The existence of a low oxygen environment leads to a higher heart rate in drivers, which is not conducive to driving safety.


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    Title :

    Correlation between vehicle speed and driver's heart rate at the entrance of high altitude highway tunnel under fog environment


    Contributors:
    Cao, Zhengxiang (author) / Wang, Bing (author) / Zhao, Yue (author) / Zhang, Ligai (author) / Shi, Mingchun (author)

    Conference:

    Sixth International Conference on Traffic Engineering and Transportation System (ICTETS 2022) ; 2022 ; Guangzhou,China


    Published in:

    Proc. SPIE ; 12591


    Publication date :

    2023-02-16





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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