To meet meet the Bipartisan Infrastructure Law's requirement to collect data on American transit agencies' "geographic service area coverage," the US Federal Transit Administration will begin to require GTFS feeds from fixed-route transit agencies that receive federal funds.
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MTC and Interline have released updated fares and transfer discounts for over 30 Bay Area transit agencies using the adopted GTFS-Fares v2 "base implementation" and a series of proposed extensions.
American public transit agencies that receive federal funds are required to report information for inclusion in the National Transit Database. The Federal Transit Administration is proposing that each agency will also provide a URL for a GTFS feed in their NTD reports. Submitted GTFS feeds will enter the public domain. We are pleased to see this proposal and offer feedback based on our experience to FTA.
Interline and the Metropolitan Transportation Commission are now releasing monthly "stop observation" datasets derived from the Regional GTFS Realtime Feed.
Interline is pleased to sign the newly drafted Mobility Data Interoperability Principles.
The Metropolitan Transportation Commission and Interline are pleased to announce a single consolidated Regional GTFS Realtime feed. Developers can combine the static Regional GTFS Feed and the Regional GTFS Realtime endpoints for comprehensive and up-to-date views of the Bay Area's bus, train, and ferry services.
Now available from the US Transportation Research Board: an in-depth report on our experience building and testing an open platform to validate GTFS Realtime data for transit agencies.
The San Francisco Bay Area's Regional GTFS Feed now includes station pathways and levels, to improve the wayfinding experience for riders, and fares and transfer discounts, to better account for the cost of travel across the eight largest transit agencies. We also now produce Historical Feeds, which give a retrospective view of each month's transit service.
Last year, Interline began a "startup in residence" at the Metropolitan Transportation Commission. Now we're pleased to publicly release our first creation: the San Francisco Bay Area's Regional GTFS Feed.
The "GeoJSONL" format has the easy readability of a GeoJSON file without the performance limitations of a GeoJSON file. Last year we started producing GeoJSONL files from our OSM Extracts service. Now HERE XYZ supports the format for ingest, as well as a growing list of long-existing and brand-new geospatial tools.
We're excited to share that the Transportation Research Board has awarded a Transit IDEA Program grant to Interline. We're using this opportunity to expand Transitland to support GTFS Realtime feeds. Our goal is for Transitland to provide a suite of validation tools for public-transit agency staff to validate the contents and quality of their real-time data feeds.
We're excited to share that the Metropolitan Transportation Commission has selected Interline through a competitive process to participate in its 2019 Startup in Residence (STIR) program. Interline and MTC will collaborate on the problem of regional transit data.
Interline and HERE are collaborating to make Interline's open data services like OSM Extracts and the Transitland API easy to combine, mix, filter, analyze, and visualize using the new HERE XYZ platform.
GeoJSON Lines (geojsonl) is a simple, newline-delimited variant of GeoJSON that allows large datasets to be loaded with a much lower memory footprint and easily integrate with traditional text-based tools. Interline OSM Extracts now provides geojsonl, along with a small but growing number of tools.
At Interline, we specialize in deploying, creating, and managing the growth of open-source software. We've encountered many practices that can help complex and collaborative open-source projects survive and thrive. This blog post provides a tour through many open-source practices, particularly ones that are helpful for aging but popular software packages like OpenTripPlanner.
Interline now offers OSM Extracts, a service enabling software developers and GIS professionals to download chunks of OpenStreetMap data for 200 major cities and regions around the world. In this blog post, we describe how we generate those 200 extracts in parallel using Kubernetes and the Argo workflow manager.