Updating and transferring Random Effect models: The case of operating speed percentile estimation

Jean-Michel Tremblay, Cinzia Cirillo and Marco Bassani

Transportation Research Part A: Policy and Practice, 2021, vol. 148, issue C, 286-304

Abstract: Random Effect (RE) models are used for analyzing data that are non-independent or when data are characterized by a hierarchical structure. In traffic and highway engineering, RE models have been successfully employed to estimate free-flow speed distributions from data containing observations that are naturally nested according to different levels (i.e. direction, sections, roads). Empirical studies conducted on both urban arterials and rural two-lane highways have shown that RE models, by properly accounting for the survey design, are superior to traditional Fixed Effect (FE) models. However, RE models are non-transferable because of the unknown RE value for roads or road sections belonging to a different network or road of the same network that were not originally used to develop the model.

Keywords: Operating speed; Speed quantiles (percentile); Random effects regression; Jackknife resampling technique; Out-of-sample prediction (search for similar items in EconPapers)
Date: 2021
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DOI: 10.1016/j.tra.2021.01.008

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