To study the driving behaviors of drivers at the entrance section of high-altitude highway tunnels, the data related to drivers' heart rate and longitudinal acceleration of vehicles were obtained through real vehicle tests. To study the driving behavior at the entrance section of high-altitude highway tunnels, the data related to the driver's heart rate and vehicle longitudinal acceleration were obtained through real vehicle tests. Then, the acceleration standard deviation algorithm was used to calculate the standard deviation values of longitudinal acceleration in the entrance section of the high-altitude tunnel, the normal tunnel section, and the highway section, and to compare and analyze them. The results show that when driving in a high-altitude highway tunnel driving environment, in the tunnel entrance section, the longitudinal acceleration changes significantly with the HR, which shows a deceleration behavior when approaching the tunnel entrance and speeding up behavior after entering the tunnel; secondly, from the longitudinal acceleration standard deviation comparison, it can be seen that the longitudinal acceleration standard deviation is the largest in the high-altitude tunnel entrance section, then in the ordinary tunnel section, while the highway section longitudinal The acceleration standard deviation is the smallest, which indicates that the driver's operation of the vehicle is higher than other road sections when passing through the high-altitude entrance section.


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    Titel :

    HR-based analysis of driving behavior characteristics at the entrance section of high-altitude road tunnels


    Beteiligte:
    Zhu, Pengpeng (Autor:in) / Wang, Bing (Autor:in) / Zhang, Likai (Autor:in)

    Kongress:

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


    Erschienen in:

    Proc. SPIE ; 12591


    Erscheinungsdatum :

    16.02.2023





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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