Road Intersection Data with Road-related characteristics of seven cities

We propose a road intersection identification method based on spatial constraint relationships of vector data. To evaluate its wide applicability, OpenStreetMap (OSM) data from seven cities–Berlin, Beijing, London, Nanjing, New York City, Rome, and Shanghai–were employed to identify road intersections of these cities.The first part of our approach involves the implementation of a vector-based fusion methodology to identify initial candidates for road intersections. The spatial constraint relationships in the vector data are then utilized to filter and process these candidates, thereby improving the accuracy of intersection identification. The second aspect of our methodology involves identifying road-related characteristics by conducting a graph-based analysis of associated roads and matching them with diverse layout templates. The evaluation results indicated that the average precision, recall, and F1 scores in these regions were 98.79%, 97.55%, and 98.16%, respectively.