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Posted speed limit: To include or not to include in operating speed models

Author

Listed:
  • Himes, Scott C.
  • Donnell, Eric T.
  • Porter, Richard J.

Abstract

Models of motorized vehicle operating speeds are used to assess the design consistency of planned or existing highway alignments or to quantify the potential speed outcomes of a design or traffic control decision. These models generally estimate the mean or 85th-percentile speed of free-flow vehicles as a function of the geometric design elements, traffic control, or other features present along the roadway. Models for measures of speed dispersion (e.g., standard deviation of speed) have been considered in more recent research. There are differing viewpoints concerning the inclusion of the posted speed limit as an independent variable in operating speed models. Some have excluded posted speed limit from operating speed prediction models, indicating that it was highly correlated with the geometric design elements also included as independent variables in the model. The other viewpoint is that the posted speed limit logically influences operating speeds, and should therefore be included in speed prediction models. This paper explores this issue using an econometric modeling approach, considering irrelevant variables, multicollinearity, omitted variable bias, and endogeneity bias. The results suggest that the posted speed limit should be treated as an exogenous variable in models of operating speed, including models of speed magnitude and speed dispersion.

Suggested Citation

  • Himes, Scott C. & Donnell, Eric T. & Porter, Richard J., 2013. "Posted speed limit: To include or not to include in operating speed models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 52(C), pages 23-33.
  • Handle: RePEc:eee:transa:v:52:y:2013:i:c:p:23-33
    DOI: 10.1016/j.tra.2013.04.003
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    References listed on IDEAS

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    1. Peter Kennedy, 2003. "A Guide to Econometrics, 5th Edition," MIT Press Books, The MIT Press, edition 5, volume 1, number 026261183x, April.
    2. Park, Young-Jin & Saccomanno, Frank F., 2006. "Evaluating speed consistency between successive elements of a two-lane rural highway," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(5), pages 375-385, June.
    3. Shankar, Venkataraman & Mannering, Fred, 1998. "Modeling the endogeneity of lane-mean speeds and lane-speed deviations: a structural equations approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 32(5), pages 311-322, September.
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    Cited by:

    1. He, Sheng-Xue, 2016. "Will a higher free-flow speed lead us to a less congested freeway?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 85(C), pages 17-38.
    2. Silvano, Ary P. & Koutsopoulos, Haris N. & Farah, Haneen, 2020. "Free flow speed estimation: A probabilistic, latent approach. Impact of speed limit changes and road characteristics," Transportation Research Part A: Policy and Practice, Elsevier, vol. 138(C), pages 283-298.
    3. Jie Yang & Jinliang Xu & Chao Gao & Guohua Bai & Linfang Xie & Menghui Li, 2019. "Modeling of the Relationship Between Speed Limit and Characteristic Speed of Expressway Traffic Flow," Sustainability, MDPI, vol. 11(17), pages 1-12, August.
    4. Tremblay, Jean-Michel & Cirillo, Cinzia & Bassani, Marco, 2021. "Updating and transferring Random Effect models: The case of operating speed percentile estimation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 148(C), pages 286-304.
    5. Lu, Qing-Chang & Xu, Peng-Cheng & Zhang, Jingxiao, 2021. "Infrastructure-based transportation network vulnerability modeling and analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 584(C).

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