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* speed up hop-to-hop calculations

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* better and faster trip clustering: trip tries
* add --write-colors to extract line colors from OSM data
* refactor config parameter names, update default pfaedle.cfg
* add --stats for writing a stats.json file
* add --no-fast-hops, --no-a-star, --no-trie for debugging
* general refactoring
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Patrick Brosi 2022-01-03 22:27:59 +01:00
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README.md
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@ -10,7 +10,6 @@ Status](https://travis-ci.org/ad-freiburg/pfaedle.svg?branch=master)](https://tr
# 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
@ -96,48 +95,8 @@ The following flags may be useful for debugging:
* `-T <GTFS TRIP ID>` only calculate shape for a single trip (specified via its GTFS trip id) and output it as GeoJSON to
`<dbg-path>/path.json`
* `--write-graph` write the graph used for routing as GeoJSON to
`<dbg-path>/graph.json`
* `--write-cgraph` if `-T` is set, write the combination graph used for
routing as GeoJSON to `<dbg-path>/combgraph.json`
* `--write-trgraph` write the complete network graph to `<dbg-path>/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): `<install prefix>/etc/pfaedle/pfaedle.cfg`, `$HOME/.config/pfaedle/pfaedle.cfg`, `<CWD>/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 <dataset>.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 <dataset>.eval` in `/eval`.
## Evaluation requirements
* zlib
On Debianesque systems, type
```
sudo apt-get install zlib1g-dev
```
to install the dependencies.