A Graph-Based Road Conflation Method Preserving Connectivity - Esra Cansizoglu & Yunzhi Lin
Channel: OpenStreetMap US
Date: 2022-05-17

Connectivity of roads in a map is essential for many use cases including navigation. We present a graph-based solution to the road conflation problem which takes into account the connectivity of the road network. First, we generate a road network graph in both sources based on bifurcation points. Second, we carry out node and edge matching between the graphs. This is followed by the merging stage where graph edges with matching end nodes get conflated. Newly added roads are connected with the graph based on node and edge matching. We carry out experiments on conflating open source footway datasets from multiple cities with the OSM. The resulting conflated map contains up to 16x map feature improvements per city with geometrically accurate and smooth results around road junctions.

This talk was presented at State of the Map US 2022. To learn more about State of the Map US 2022, visit https://2022.stateofthemap.us/

Learn more about OpenStreetMap US at https://www.openstreetmap.us/