Modelled AADT data files for Sheehan et al. 2026 'Development and evaluation of statistical models for international-scale road traffic flow estimation' DOI: https://doi.org/10.1016/j.envint.2026.110231

This folder contains the modelled Annual Average Daily Traffic (AADT) estimates for all study areas included in the research article: 

Annalisa Sheehan, Calvin Jephcote, John Gulliver, 2026, Development and evaluation of statistical models for international-scale road traffic flow estimation, Environment International, Volume 210, https://doi.org/10.1016/j.envint.2026.110231.

The modelled AADT estimates were produced using the XGBoost Combined model. A minimum AADT value was set for road links based on lowest measured value of AADT for each road type for all areas in the road traffic count data set. 

Note that the OSM road networks used for the study areas have been cleaned to ensure the network is "routable". Therefore, there may be multiple road link with the same osm_id (i.e. a road link that has been split where it intersects other road links). Please see section 2.1.2 in the manuscript for details on the cleaning process. 

Variables in shapefile: 

rid: unique road id produced during osm road network cleaning process.AADT_pred: modelled AADT estimates using the XGBoost Combined model with a set minimum AADT value.scheme_1: road class: major or minorscheme_2: road type: motorway, trunk, primary, secondary, tertiary or residentialosm_id: osm_id from the original OSM roads data setgeometry: line string geometry of the road link

Before using the traffic flow data sets, consider applying local calibration (see Discussion section of research article).