Monthly GTFS Quality Report
Riverside Transit Agency  ·  June 2022

This is a monthly report generated by the California Integrated Travel Project (Cal-ITP) and Caltrans. It summarizes progress towards the California Transit Data Guidelines, in addition to providing a snapshot of transit service characteristics such as service hours. This report is available for viewing by the general public to support continuous improvement of GTFS data and the experience of transit passengers.


Current GTFS Feed Info

09-10-2022
Feed End Date
0.0
Days With No Service
41
Routes
2,383
Stops
Has RT Feed
This feed includes GTFS-Realtime (GTFS-RT). Realtime data contributes to a better rider experience by letting riders know exactly when their bus or train is coming, as well as detour and trip cancellation info. It also enables Cal-ITP to support transit agencies with analyses such as our California Transit Speed Maps, viewable by clicking the button below. Certain feeds may include RT data but not have a speed map available. To generate a speed map, we require GTFS-RT Vehicle Positions data that matches the rest of the GTFS feed. Additionally, we don't currently generate speed maps for rail service. Please contact us at [email protected] with any questions about GTFS-RT data or suggestions for analysis products.
View Speedmap

Source URLs

Note: Links may lead directly to downloads and/or to resources that require authentication


Technology Vendors

Giro Inc.
GTFS Static
Clever Devices Ltd.
Realtime

About the June Daily Service Level Charts

  • These charts show the total hours of transit service described by the active feed for each day.
  • Since service levels often vary by the day of the week, it is split into three charts for weekdays, Saturdays, and Sundays.
  • Flat lines indicate consistent levels of service throughout the month.
  • Short drops may indicate temporary reduced service, such as for holidays, gaps in feed publishing, or potential inaccuracies.
  • Please reach out to our help desk at [email protected] with any questions.

Service hours per weekday in the active feed

Service hours per Saturday in the active feed

Service hours per Sunday in the active feed


About the June Identifier Change Charts

  • These charts show the percentage of stop and route IDs that have changed since the previous month.
  • Stop and route IDs are important identifiers for GTFS feed consumers to correctly parse feeds.
  • It is a GTFS Best Practice to keep these consistent between feed versions whenever possible.
  • More than 5% being new or dropped is a cause for attention, especially if there hasn't been a major service or route change.
  • Please reach out to our help desk at [email protected] with any questions.

Changes from June 01 to June 30


Consistency with the California Transit Data Guidelines

The following checks measure adherence to the GTFS Compliance (Schedule) and GTFS Compliance (Realtime) portions of the California Transit Data Guidelines.

The following symbols are used to denote each check's outcome on the given date:

  • Pass
  • Fail
  • Not applicable/data unavailable

Checks marked with an asterisk (*) are periodically performed manually. We can update these on request, so let us know if one of them looks off. For agencies participating in a regional GTFS feed, such as the Bay Area 511 feed, the "No errors in MobilityData GTFS Schedule Validator" check may show a Fail if there are any validation errors present in the regional feed, even if the single-agency feed contains no errors. We believe this is unlikely to impact the rider experience.

GTFS Schedule Compliance Check
GTFS RT Compliance Check
MobilityData GTFS Schedule Validator notices observed (read more about the validator here)
Error Name Error Description Severity
leading_or_trailing_whitespaces The value in CSV file has leading or trailing whitespaces. ERROR
decreasing_or_equal_shape_distance When sorted by shape.shape_pt_sequence, two consecutive shape points should have increasing values for shape_dist_traveled. If the values are equal, this is considered as an error. ERROR
feed_expiration_date At any time, the published GTFS dataset should be valid for at least the next 7 days, and ideally for as long as the operator is confident that the schedule will continue to be operated. WARNING