Fatigue while driving leads to significant deterioration of a driver's lane-keeping ability and increases the risk of crashes. Also, the lane-keeping indicator may be a good predictors of fatigue. A study using the Tongji high-fidelity driving simulator investigated the relationship between fatigue and lane-keeping indicators. During about 1 hour monotonous highway driving for each driver, driving data of 30 participants including lateral position, speed, and steering wheel movement data were collected. Meanwhile, Karolinska Sleepiness Scale (KSS) was recorded to measure driver's fatigue scale. To estimate driver's lane keep ability appropriately, standard deviation of lateral position (SDLP), lane crossing time-space area (LCTSA), standard deviation of steering wheel speed (SDSWS), and steering wheel reversal rate (SWRR) were measured. While controlling for other contribution factors including driving speed and road alignment, a multilevel ordered logistic model was established using Winbugs software. The research found that experienced drivers have a higher threshold for KSS. SDLP, SDSWS, and SWRR show significant positive relation to fatigue level. Another finding is that the differences between two adjacent KSS thresholds increase with KSS value.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Modeling Fatigue Level by Driver's Lane-Keeping Indicators


    Beteiligte:
    Xu, Chuan (Autor:in) / Wang, Xuesong (Autor:in) / Chen, Xiaohong (Autor:in)

    Kongress:

    Fourth International Conference on Transportation Engineering ; 2013 ; Chengdu, China


    Erschienen in:

    ICTE 2013 ; 2282-2288


    Erscheinungsdatum :

    2013-10-09




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Lane-keeping system design considering driver's nervousness via scene analysis

    Li, Bin / Zhang, Jianwei / Zhang, Ce et al. | IET | 2020

    Freier Zugriff

    Lane‐keeping system design considering driver's nervousness via scene analysis

    Li, Bin / Zhang, Jianwei / Zhang, Ce et al. | Wiley | 2020

    Freier Zugriff


    Keeping driver's mind on safety

    Dow, M. | Engineering Index Backfile | 1932


    Driver's lane keeping ability with eyes off road: Insights from a naturalistic study

    Peng, Yiyun / Boyle, Linda Ng / Hallmark, Shauna L. | Elsevier | 2012