[![Left: station-to-station path of a single train through Switzerland obtained from schedule timetable data. Right: path of the same train map-matched by pfaedle.](geo/schweiz_ex_res.png?raw=true)](geo/schweiz_ex.png?raw=true) *Left: station-to-station path of a single train through Switzerland obtained from official schedule data. Right: path of the same train map-matched by pfaedle.* [![Left: station-to-station path of a single bus through Stuttgart obtained from official schedule data. Right: path of the same bus map-matched by pfaedle.](geo/stuttgart_ex_res.png?raw=true)](geo/stuttgart_ex.png?raw=true) *Left: station-to-station path of a single bus through Stuttgart obtained from official schedule data. Right: path of the same bus map-matched by pfaedle.* [![Build Status](https://travis-ci.org/ad-freiburg/pfaedle.svg?branch=master)](https://travis-ci.org/ad-freiburg/pfaedle) # pfaedle Precise OpenStreetMap (OSM) map-matching for public transit schedules ([GTFS](https://developers.google.com/transit/gtfs/reference/) data). Implementation and evaluation code for our paper [Sparse Map-Matching in Public Transit Networks with Turn Restrictions](http://ad-publications.informatik.uni-freiburg.de/SIGSPATIAL_Sparse%20map%20matching%202018.pdf). ## Requirements * `cmake` * `gcc >= 4.9` (or `clang >= 5.0`) ## Building and Installation Fetch this repository and init submodules: ``` git clone --recurse-submodules https://github.com/ad-freiburg/pfaedle ``` ``` mkdir build && cd build cmake .. make -j ``` To install, type ``` make install ``` # General Usage ## Generating shapes for a GTFS feed ``` pfaedle -x ``` A shape'd version of the input GTFS feed will be written to `./gtfs-out`. By default, shapes are only calculated for trips that don't have a shape in the input feed. To drop all existing shapes, use the `-D` flag. For example, you may generate (and replace existing, see -D parameter) shapes for the GTFS dataset for Freiburg like this: ``` $ wget https://fritz.freiburg.de/csv_Downloads/VAGFR.zip && unzip VAGFR.zip $ wget http://download.geofabrik.de/europe/germany/baden-wuerttemberg/freiburg-regbez-latest.osm.bz2 && bunzip2 freiburg-regbez-latest.osm.bz2 $ pfaedle -D -x freiburg-regbez-latest.osm . ``` ## Generating shapes for a specific MOT To generate shapes for a specific mot only, use the `-m` option. Possible values are either `tram`, `bus`, `coach`, `rail`, `subway`, `ferry`, `funicular`, `gondola`, `all` (default) or GTFS vehicle type codes (0, 1, 2, 3, 4, 5, 6, 7). Multiple values can be specified (comma separated). ## OSM filtering `pfaedle` comes with the ability to filter OpenStreetMap data. If you specify the `-X` flag, `pfaedle` will filter the input OSM file and output a new OSM file which contains exactly the data needed to calculate the shapes for the input GTFS feed and the input configuration. This can be used to avoid parsing (for example) the entire `planet.osm` on each run. ## Debugging The following flags may be useful for debugging: * `-T ` only calculate shape for a single trip (specified via its GTFS trip id) and output it as GeoJSON to `/path.json` * `--write-graph` write the graph used for routing as GeoJSON to `/graph.json` * `--write-cgraph` if `-T` is set, write the combination graph used for routing as GeoJSON to `/combgraph.json` * `--write-trgraph` write the complete network graph to `/trgraph.json` # Configuration A default configuration file `pfaedle.cfg` can be found in this repo and will be installed with `make install`. Custom configuration files can be specified with the `-c` flag. If no `-c` flag is set, `pfaedle` will parse and merge the following cfg files in the given order (if present): `/etc/pfaedle/pfaedle.cfg`, `$HOME/.config/pfaedle/pfaedle.cfg`, `/pfaedle.cfg`. Values given in later files will overwrite earlier defined values. # Evaluation You may run an entire evaluation of our testing datasets Vitoria-Gasteiz, Paris, Switzerland and Stuttgart with ``` mkdir build && cd build cmake .. make -j make eval ``` *Notes:* * this will download, and filter, the entire OSM files for Spain and the Stuttgart region. Make sure you have enough space left on your hard drive. * in evaluation mode, pfaedle needs significantly more time, because the calculation of the similarity measurements between shapes are expensive * if you are only interested in the end results of a single dataset, run `make .lighteval` in `/eval`. For example, `make paris.lighteval` generates a shaped version of the paris dataset, without doing extensive comparisons to the ground truth. * similarily, if you want to run the extensive evaluation for a single dataset, run `make .eval` in `/eval`. ## Evaluation requirements * zlib On Debianesque systems, type ``` sudo apt-get install zlib1g-dev ``` to install the dependencies.