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A model of speed profiles for traffic calmed roads

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  • Barbosa, Heloisa M.
  • Tight, Miles R.
  • May, Anthony D.

Abstract

The influence of traffic calming measures on the speed of unimpeded vehicles has been investigated by evaluating differences in speed profiles obtained from various combinations of traffic calming measures. A case study has been conducted in the City of York (UK) focusing on traffic calming measures such as speed humps (flat-topped and round topped), speed cushions and chicanes implemented in sequence. Vehicles' passing times were simultaneously recorded at 16 points along each traffic calmed link. From these data a speed profile for each individual vehicle could be derived. An empirical model was developed using multiple regression analysis techniques based on data collected at three calibration sites. Speeds along these links were described as a function of the input speed, the type of measure and the distance between measures. The speed profile model was shown to be a good representation for the data from the calibration sites. It efficiently predicted speeds of unimpeded vehicles over a given combination of traffic calming measures in sequence. The validation process, based on data collected at three validation sites, also indicated that the model provided a good representation of the observed profiles at these sites, with the exception of the prediction of the effects of the chicanes on speeds. This type of measure was shown to produce diverse impacts on speeds which depended on the detailed design. While the model is a useful design tool, recommendations have been made for further enhancement to it.

Suggested Citation

  • Barbosa, Heloisa M. & Tight, Miles R. & May, Anthony D., 2000. "A model of speed profiles for traffic calmed roads," Transportation Research Part A: Policy and Practice, Elsevier, vol. 34(2), pages 103-123, February.
  • Handle: RePEc:eee:transa:v:34:y:2000:i:2:p:103-123
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    Citations

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    Cited by:

    1. Boeri, Marco & Scarpa, Riccardo & Chorus, Caspar G., 2014. "Stated choices and benefit estimates in the context of traffic calming schemes: Utility maximization, regret minimization, or both?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 61(C), pages 121-135.
    2. Maciej Kruszyna & Marta Matczuk-Pisarek, 2021. "The Effectiveness of Selected Devices to Reduce the Speed of Vehicles on Pedestrian Crossings," Sustainability, MDPI, vol. 13(17), pages 1-21, August.
    3. Sogutlugil, Mihriban, 2005. "Examining the Effects of Variability in Average Link Speeds on Estimated Mobile Source Emissions and Air Quality," University of California Transportation Center, Working Papers qt9j08v6rr, University of California Transportation Center.
    4. Ronghui Liu & James Tate, 2004. "Network effects of intelligent speed adaptation systems," Transportation, Springer, vol. 31(3), pages 297-325, August.
    5. Xin Lin & Chris M. J. Tampère & Stef Proost, 2020. "Optimizing Traffic System Performance with Environmental Constraints: Tolls and/or Additional Delays," Networks and Spatial Economics, Springer, vol. 20(1), pages 137-177, March.

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