Highway tunnels are semi-enclosed traffic structures distinguished by insufficient illumination and monotonous surroundings. In these conditions, prolonged drives often culminate in driver fatigue, which has become a prominent causal factor in tunnel accidents. This study conducted real-vehicle experiments and simulated driving tests to investigate the characteristics of driving fatigue during passage through extra-long highway tunnels. Four tunnels with lengths of 5, 10, 15, and 20 km were used for the experiments. Six indicators derived from drivers’ eye movement, electrocardiogram (ECG), and electroencephalogram (EEG) signals were selected to examine the fatigue progression. The experiment results indicate that when driving in extra-long tunnels exceeds 500 s, the drivers experience mild fatigue, as evidenced by deviations of their physiological indicators from the normal ranges. After driving beyond 700 s, the mild fatigue progresses into severe fatigue, with significant deviations of the physiological indicators and dramatic increases in the fluctuations of these indicators. On exiting the tunnels, the mild fatigue recovers immediately, while the severe fatigue is not fully alleviated and continues to exert negative impacts on subsequent driving. Based on the experimental findings, a multistate Bayesian networks (B-Ns) method for detecting driving fatigue in extra-long tunnels is proposed. The method is compared with the Karolinska Sleepiness Scale (KSS) rating results and previous single-indicator detection methods, demonstrating that the proposed B-Ns method achieves precise detection outcomes and substantially enhances the accuracy of fatigue detection, particularly when drivers are experiencing severe fatigue accompanied by strong fluctuations of the physiological indicators.


    Access

    Download

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Driving Fatigue in Extra-Long Highway Tunnels and a Bayesian Networks-Based Fatigue Detection Method


    Additional title:

    Transportation Research Record: Journal of the Transportation Research Board


    Contributors:
    Zhang, Cong (author) / Wan, Hongmei (author) / Zhou, Chao (author) / Jin, Xin (author) / Cheng, Yongzhen (author) / Li, Yue (author)


    Publication date :

    2024-06-06




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Highway fatigue driving illegal behavior judgment method

    WANG XIA / LIU YUANCHAO | European Patent Office | 2020

    Free access

    Highway fatigue driving early warning device and method

    XU QINGJIN / FU RUI / GUO YINGSHI et al. | European Patent Office | 2020

    Free access

    Automobile tunnels -- Car driving or "rolling highway"

    Grob, H. | Engineering Index Backfile | 1967


    Analysis of Sidewall Patterns in Extra-Long Freeway Tunnels Based on Driving Behavior

    Dong, Wenhui / Li, Zongdian / Li, Zhi et al. | TIBKAT | 2021


    Expressway extra-long tunnel fatigue awakening section setting method

    HU JIANGBI / YANG YANG / GAO XIAOJUAN et al. | European Patent Office | 2020

    Free access