A driver’s visual adaptability is of great significance to the operation safety of urban underwater tunnels. Based on the study of drivers’ pupil area distribution, the mathematical model of pupil area variation when entering the tunnel under time series was constructed, and a method of visual adaptability evaluation was established. The results demonstrated: (a) the pupil area of the driver increased when entering the tunnel until the average pupil area was 3.318 times of that before entering the tunnel when adapting to the black hole effect; (b) when entering the tunnel in the daytime, the driver’s visual adaptability outside the tunnel was better than inside; and (c) the side walls on both sides of the ramp in front of the entrance and the shading shed can enhance the driver’s visual adaptability to the black hole effect. The research results can provide theoretical support for the safety management of urban underwater tunnel entrances.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Visual Adaptation Based on Pupil Variation of Urban Underwater Tunnel Entrance


    Beteiligte:
    Jiao, Fangtong (Autor:in) / Du, Zhigang (Autor:in) / Wang, Shoushuo (Autor:in) / Zheng, Haoran (Autor:in) / Ni, Yudan (Autor:in)

    Kongress:

    20th COTA International Conference of Transportation Professionals ; 2020 ; Xi’an, China (Conference Cancelled)


    Erschienen in:

    CICTP 2020 ; 3885-3896


    Erscheinungsdatum :

    2020-12-09




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Safety Evaluation of Highway Tunnel-Entrance Illuminance Transition Based on Eye-Pupil Changes

    Zhigang Du / Hongliang Wan / Chaozhong Wu et al. | DOAJ | 2014

    Freier Zugriff



    Tunnel entrance warning apparatus

    CHO SUNG HO | Europäisches Patentamt | 2022

    Freier Zugriff

    Rectification of Driver’s Visual Illusion on Continuous Downhill of Urban Underwater Tunnel

    Ni, Yudan / Du, Zhigang / Wang, Shoushuo et al. | TIBKAT | 2020