This dataset investigates the effectiveness of various path planning algorithms in urban contexts using real-world traffic networks obtained from OpenStreetMap (OSM) at three different locations: Chongqing, China, Hubei Province, China, and Washington, D.C., USA. OSM data contains complex details of the road network, including road types, traffic restrictions, and geographic features. By employing zoning and hierarchical shrinkage strategies, we analyzed the route efficiency and travel time optimization of these different urban landscapes.