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A Graph Sampling-based map merging tool for achieving an accurate differential conflation of two road maps

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Map Stitcher

Map Stitcher is an automated map conflation tool based on Graph Sampling. Inputs have to be in txt format, e.g. chicago_osm_vertices.txt and chicago_osm_edges.txt

For maps check out https://www.mapconstruction.org/

python3 Merger.py <data_folder> <dataset_name> <map1> <map2>

<data_folder> is the path to the data folder e.g. data

<dataset_name> is the name of the dataset folder inside <data_folder> e.g. athens_small

<map1> is the name of the map in <data_folder>/<dataset_name>/map1 directory e.g. osm

<map2> is the name of the map in <data_folder>/<dataset_name>/map2 directory

Publication

Erfan Hosseini Sereshgi and Carola Wenk, Map Stitcher: Graph Sampling-based Map Conflation, The 3rd ACM SIGSPATIAL International Workshop on Spatial Big Data and AI for Industrial Applications (GeoIndustry '24), Pages 5-15, 2024, doi: https://dl.acm.org/doi/10.1145/3681766.3699604

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A Graph Sampling-based map merging tool for achieving an accurate differential conflation of two road maps

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