2019-07-14 16:16:50 +03:00
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# Importing a new city into A/B Street
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2020-04-29 00:31:23 +03:00
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This process isn't easy yet. Please email <dabreegster@gmail.com> or
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[file a Github issue](https://github.com/dabreegster/abstreet/issues/) if you
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hit problems. I'd really appreciate help and PRs to improve this.
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## Quick start
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TODO. Ideally, you just run the importer with a local .osm file and an optional
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clipping polygon. No code changes.
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## Including the city by default
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1. Make sure you can run `import.sh` -- see
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[the instructions](dev.md#building-map-data). You'll need Rust, osmconvert,
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gdal, etc.
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2. Use http://geojson.io/ to draw a polygon around the region you want to
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simulate.
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3. Create a new directory: `mkdir -p data/input/your_city/polygons`
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4. Create a
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[polygon filter file](https://wiki.openstreetmap.org/wiki/Osmosis/Polygon_Filter_File_Format)
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in that directory using the coordinates from geojson.io. It's easiest to
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start with an existing file from another directory; I recommend
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`data/input/austin/polygons/downtown_atx.poly` as a guide.
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5. Create a new module in `importer/src/` for your city, copying
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`importer/src/austin.rs` as a guide. Edit that file in the obvious way. The
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main thing you'll need is a .osm or .osm.pbf file to download that contains
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your city. The clipping polygon will be applied to that.
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6. Update `importer/src/main.rs` to reference your new module, following
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`austin` as an example.
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2020-05-03 01:43:19 +03:00
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7. Update `map_belongs_to_city` in `updater/src/main.rs`
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2020-04-29 00:31:23 +03:00
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2020-05-03 01:43:19 +03:00
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8. Run it: `./import.sh --city=your_city --raw --map`
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9. Update `.gitignore`, following `austin` as an example.
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2020-04-29 00:31:23 +03:00
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2020-05-03 02:05:31 +03:00
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Send a PR with your changes! I'll generate everything and make it work with
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`updater`, so most people don't have to build everything from scratch.
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2020-04-29 00:31:23 +03:00
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## Next steps
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OpenStreetMap isn't the only data source we need. If you look at the import
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pipeline for Seattle, you'll see many more sources for parking, GTFS bus
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schedules, person/trip demand data for scenarios, etc. Most of these aren't
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standard between cities. If you want to make your city more realistic, we'll
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have to import more data. Get in touch.
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