Development and evaluation of statistical models for international-scale road traffic flow estimation

: 0.69-0.73). The 'combined' method slightly outperformed 'single' models overall, with notably better performance for residential roads by using sub-models. For transferability to other areas, we recommend testing the need for local calibration of the models (i.e., regression) using measurements of AADT covering different road types.

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Publication Details

Journal
Environment International
Published
2026-04-01
DOI
https://doi.org/10.1016/j.envint.2026.110231
Primary Topic
Traffic Prediction and Management Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

Development and evaluation of statistical models for international-scale road traffic flow estimation

Calvin Jephcote, John Gulliver, Annalisa Sheehan
Environment International
Traffic Prediction and Management Techniques
article

Development and evaluation of statistical models for international-scale road traffic flow estimation

Calvin Jephcote, John Gulliver, Annalisa Sheehan
article en

Abstract

: 0.69-0.73). The 'combined' method slightly outperformed 'single' models overall, with notably better performance for residential roads by using sub-models. For transferability to other areas, we recommend testing the need for local calibration of the models (i.e., regression) using measurements of AADT covering different road types.

Environment InternationalVol. 210
University of Leicester (GB), St George's, University of London (GB)
Openalex Percentile: Top 34%
Traffic Prediction and Management Techniques
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