From road centrelines to carriageways

From road centrelines to carriageways: A reconstruction algorithm

Vitalis, S. (TU Delft Urban Data Science)
Labetski, A. (TU Delft Urban Data Science)
Ledoux, H. (TU Delft Urban Data Science)
Stoter, J.E. (TU Delft Urban Data Science)

2022

Roads are important for many urban planning applications, such as traffic modelling and delivery vehicle routing. At present, most available datasets represent roads only as centrelines. This is particularily true for OpenStreetMap which provides, among many features, road networks at worldwide coverage. Furthermore, most approaches for creating more detailed networks, such as carriageways or lanes, focus on doing so from sources that are not easy to acquire, such as satellite imagery or LiDAR scans. In this paper we present a methodology to create carriageways based on OpenStreetMap's centrelines and open access areal representations (i.e. polygons) to determine which roads should be represented as two individual carriageways. We applied our methodology in five areas across four different countries with different built environments. We analysed the outcome in a delivery routing problem to evaluate the validity of our results. Our results suggest that this method can be effectively applied to create carriageways anywhere in the world, as long as there is sufficient coverage by OpenStreetMap and an areal representation dataset of roads.

http://resolver.tudelft.nl/uuid:9b136994-3d07-4868-af5b-72549dc64152

https://doi.org/10.1371/journal.pone.0262801

1932-6203

PLoS ONE, 17 (2)

Institutional Repository

journal article

© 2022 S. Vitalis, A. Labetski, H. Ledoux, J.E. Stoter