Geographic Information Systems, especially accurate digital traffic maps, have been becoming widely used in the Intelligent Transportation Systems. The GPS data usually are more accurate than the pre-existing base map data. This paper introduces a new cartography procedure for making digital map from a start-up paper map, which has no geography data (longitude and latitude). Contrary to traditional map-making which is first a precise survey-cartography and follow-on digital controlled mapping, the new procedure is first extracting layer from a raster map and vectorization, follow-on geo-adjusting for pinpointing all nodes on the vector map. There are two key processes in the new digital map-making technique. First, the map layer extraction is controlled by output feedback for optimal recognition of road network. Second, a dynamic topological mapping is developed for geo-location and improving the accuracy of vector traffic map by utilizing some recorded GPS data as the controlled pinpoint samples. Different from those traditional geolocation methods such as affine mapping, and the rubber-streeting with manual point-by-point matching, the new adjusting is decomposed into a series of optimal topological sub-mapping on relative sub-map region. Based on pinpointing one sample point to its accuracy location, the sub-mapping adjusts all nodes within the sub-map region.© (2007) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.