Catenary Transit Initiatives Research @catenarycompsci
Public transport computer science research non-profit.
Follow @CatenaryMaps for our main account.github.com/catenarytransit University of CaliforniaJoined January 2024
The LAX Metro Transit Center feels like a peek at a utopian vision of LA
It’s clean, modern, and beautiful. Everything makes sense and works the way it’s supposed to.
One day all of LA will be like this
Catenary Maps loads faster now, thanks to compact_str, a crate that inlines small strings.
Most strings stored in the realtime dataset are small, such as stop ids, and can easily be inlined.
docs.rs/compact_str/la…
Hi @RideARTbus !
Your GTFS realtime has a mistake in it. The start time should not be a timestamp.
"Format and semantics of the field is same as that of GTFS/frequencies.txt/start_time, e.g., 11:15:35 or 25:15:35." - GTFS.org
We hope this helps!
Changelog for Catenary released just now:
- shapes load much much much faster
- massively compress the shape files
(Combination of PostgreSQL/PostGIS indexing and simplification optimisations)
Demo attached, 1x speed.
We've made our database query times 18x faster with one line of SQL.
Remember! Always check for missing indexes!!!!
Catenary Maps will update vehicle positions every 10s now! Check out the map today and feel how realtime it is!!!!
heads up! we're updating Catenary's code of conduct with a new set of Community Guidelines that more clearly spells out and emphasizes our goals, values, and standards! please take a minute to familiarize yourself with them:
github.com/catenarytransi…
Catenary Maps's "Maple Syrup" compression algorithm compress schedules by a factor of 10.
We organise trips by common departure / arrival itinerary patterns (stop B is 3 min after stop A) and then only store the starting time of each trip.
Global dataset: 493 GB -> 52 GB.
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