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Speed Behavior of Heterogeneous Traffic on Two-Lane Rural Roads in Malaysia

Author

Listed:
  • Rizwan Ullah Faiz

    (Faculty of Civil Engineering, Universiti Teknologi Malaysia Skudai, Johor Bahru 81310, Malaysia)

  • Nordiana Mashros

    (Faculty of Civil Engineering, Universiti Teknologi Malaysia Skudai, Johor Bahru 81310, Malaysia)

  • Sitti Asmah Hassan

    (Faculty of Civil Engineering, Universiti Teknologi Malaysia Skudai, Johor Bahru 81310, Malaysia)

Abstract

Highway geometry is a significant factor that affects the efficiency and safety of highway systems. The present study aims to investigate the speed behavior of various vehicle classes on the horizontal alignment of two-lane rural roads. An automatic data collection system based on a pressure sensor was employed to collect the speed of each individual vehicle, vehicle type, and headway at seven sites in each travel direction. The 85th percentile speed under free-flow conditions was used to observe the relationship between the operating speeds of various vehicle classes at consecutive curve points and the effect of the travel direction, time of day, and curve radius on the operating speed of the vehicle. A one-way ANOVA was employed to evaluate whether there is a significant difference in speed on horizontal curves. Then, a Tukey post hoc test was used to assess the significance of the difference in speed across four classes of vehicles. The results revealed that the horizontal curve affects the operating speed for all vehicle classes. A curve radius of less than 500 m, the travel direction, and the time of day are significant variables that affect the speed of all vehicle classes. The findings from this study can provide insight to transportation engineers for safer road design of horizontal curves and to assess traffic safety based on actual speed behavior.

Suggested Citation

  • Rizwan Ullah Faiz & Nordiana Mashros & Sitti Asmah Hassan, 2022. "Speed Behavior of Heterogeneous Traffic on Two-Lane Rural Roads in Malaysia," Sustainability, MDPI, vol. 14(23), pages 1-15, December.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:23:p:16144-:d:992163
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    References listed on IDEAS

    as
    1. Huan Liu & Jinliang Xu & Xiaodong Zhang & Chao Gao & Rishuang Sun, 2022. "Evaluation Method of the Driving Workload in the Horizontal Curve Section Based on the Human Model of Information Processing," IJERPH, MDPI, vol. 19(12), pages 1-18, June.
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