This repository contains a collection of fmm examples in Jupyter-notebook.
- fmm: Fast map matching framework (Python binding used here)
- ipyleaflet: Interactive map in Jupyter-notebook
- ipywidget: Interactive widget in Jupyter-notebook
- folium: More fluent dual map visualization
- shapely: Geometry conversion
- osmnx: Download road network from OpenStreetMap into Shapefile format
- bqplot: 2-D plotting library for Project Jupyter
- Pandas: Python data analysis library
- Numpy: Numeric computation library
- Geopandas: Python GeoSpatial data analysis library
- Tested on Ubuntu 14.04 and Python 2.7 and Python 3 (Python 3 is only used in 1-download_network.ipynb to download network data)
A dataset is provided at data.tar.gz.
- 1-download_network.ipynb. Download OSM road network for a region
- 2-map_match_interactive.ipynb. Interactive map matching
- 3-hex_match_interactive.ipynb. Interactive hexagon matching
- 4-explore_detailed_mapmatching.ipynb. Interactive exploring details of map matching result including gps error, shortest path distance, etc.
Map match to OSM road network by drawing, link
Explore the factor of candidate size k, search radius and GPS error, link
Explore detailed map matching information, link
Explore with dual map, link
Map match to hexagon by drawing, link
Explore the factor of hexagon level and interpolate, link
