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Modeling the endogeneity of lane-mean speeds and lane-speed deviations using a Bayesian structural equations approach with spatial correlation

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  • Cheng, Wen
  • Gill, Gurdiljot Singh
  • Sakrani, Taha
  • Ralls, Dennis
  • Jia, Xudong

Abstract

This study focused on the development of speed prediction models for a multilane highway which incorporate the potential endogenous relationship between adjacent lane speeds and speed deviations while considering geometric design, traffic flow, and other variables in the model specification and accounting for the correlation structures due to multilevel nature of data. The Full Bayesian framework was employed to build the hierarchical models which accounted for three correlation structures at multiple levels: the correlation between speeds of adjoining lanes due to multivariate nature; spatially structured correlations between the adjacent segments, and spatially unstructured correlations among segments.

Suggested Citation

  • Cheng, Wen & Gill, Gurdiljot Singh & Sakrani, Taha & Ralls, Dennis & Jia, Xudong, 2018. "Modeling the endogeneity of lane-mean speeds and lane-speed deviations using a Bayesian structural equations approach with spatial correlation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 220-231.
    • Handle: RePEc:eee:transa:v:116:y:2018:i:c:p:220-231
    DOI: 10.1016/j.tra.2018.06.014
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    References listed on IDEAS

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    4. Dane, Gamze & Arentze, Theo A. & Timmermans, Harry J.P. & Ettema, Dick, 2014. "Simultaneous modeling of individuals’ duration and expenditure decisions in out-of-home leisure activities," Transportation Research Part A: Policy and Practice, Elsevier, vol. 70(C), pages 93-103.
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    Cited by:

    1. Espadaler-Clapés, Jasso & Barmpounakis, Emmanouil & Geroliminis, Nikolas, 2023. "Empirical investigation of lane usage, lane changing and lane choice phenomena in a multimodal urban arterial," Transportation Research Part A: Policy and Practice, Elsevier, vol. 172(C).
    2. 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.

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