Abstract
This study employs the Python library for road network analysis in the Debre Berhan Metropolitan City, focusing on determining the best route, shortest path, road types, length in km, and speed limit in km/h. Geopandas is utilized to visualize the road network data, enabling the calculation of the shortest path and extraction of road type and speed limit information. Network analysis libraries like,folium, NetworkX convert the data into a graph representation, using algorithms like Dijkstra's or A* to find the shortest path based on distance or travel time. Geopandas then overlays road segments on a map, highlighting the shortest path and indicating road type, length, and speed limit, offering a robust framework for assessing and optimizing the road network in urban areas and contributing to the effective management and enhancement of transportation infrastructure.
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