• DocumentCode
    619299
  • Title

    Night time driving perception and visual performance under adverse and clear weather conditions while maneuvering on urban roadway curve

  • Author

    Mohamed, N. ; Adnan, Muhammad Abdullah ; Sulaiman, Nasri ; Zainuddin, Nor Izzah

  • Author_Institution
    Fac. of Civil Eng., Univ. Teknol. MARA, Shah Alam, Malaysia
  • fYear
    2013
  • fDate
    7-9 April 2013
  • Firstpage
    684
  • Lastpage
    689
  • Abstract
    Development of models for predicting the 85th percentile speed is widely used and developed by most countries. However, proper speed distribution analysis is vital in ensuring the model is usable and represent the traffic condition. In respond to that, the focus of this study is to identify the distribution of traffic among various conditions. Two approaches of data collection were used. RealCountTM for collection of continuous speed data and spot speed study for 85th percentile speed at 20m approaching the curve, at the beginning of curve and at the middle of curve. From the analysis conducted on these data, several findings were discovered. It was found that there is significant difference to the vehicle speed travelled at night and during wet pavement condition. The speed distribution is further analyzed by comparing the means at 20 m approaching the curve, at the beginning of curve, at the middle of curve and at the end of curve.
  • Keywords
    computerised instrumentation; data acquisition; road safety; road vehicles; sensors; traffic engineering computing; velocity measurement; visual perception; RealCountTM; clear weather condition; data collection; night time driving perception; speed distribution analysis; urban roadway curve; vehicle speed travelling; visual perception; wet pavement; Data collection; Electron tubes; Rain; Roads; Standards; Vehicles; day; driving perception; night; urban road; visual performance; weather conditions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Business Engineering and Industrial Applications Colloquium (BEIAC), 2013 IEEE
  • Conference_Location
    Langkawi
  • Print_ISBN
    978-1-4673-5967-2
  • Type

    conf

  • DOI
    10.1109/BEIAC.2013.6560217
  • Filename
    6560217