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rockford-mass-transit — Enhanced Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-04-24T05:51:17Z,
for the dataset file:///shared/rockford-mass-transit_d21d8e95.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included

  • Rockford Mass Transit District

Feed Info

Publisher Name:
Busmaps.com
Publisher URL:
https://busmaps.com
Feed Language:
English
Feed Start Date:
2023-06-11
Feed End Date:
2024-06-11

Files included

  1. agency.txt
  2. calendar.txt
  3. feed_info.txt
  4. routes.txt
  5. shapes.txt
  6. stop_times.txt
  7. stops.txt
  8. trips.txt

Counts

  • Agencies: 1
  • Blocks: 57
  • Routes: 39
  • Shapes: 114
  • Stops: 1042
  • Trips: 1549

Specification Compliance report

27 notices reported (0 errors, 27 warnings, 0 infos)

Notice Code Severity Total
expired_calendar WARNING 3

expired_calendar

Dataset should not contain date ranges for services that have already expired.

This warning takes into account the calendar_dates.txt file as well as the calendar.txt file.

You can see more about this notice here.

csvRowNumber (?) The row of the faulty record. serviceId (?) The service id of the faulty record.
2 "103025-1"
3 "103025-2"
4 "103025-3"
fast_travel_between_consecutive_stops WARNING 22

fast_travel_between_consecutive_stops

A transit vehicle moves too fast between two consecutive stops.

The speed threshold depends on route type:

Route type Description Threshold, km/h
0 Light rail 100
1 Subway 150
2 Rail 500
3 Bus 150
4 Ferry 80
5 Cable tram 30
6 Aerial lift 50
7 Funicular 50
11 Trolleybus 150
12 Monorail 150
- Unknown 200

You can see more about this notice here.

tripCsvRowNumber (?) The row number of the problematic trip. tripId (?) `trip_id` of the problematic trip. routeId (?) `route_id` of the problematic trip. speedKph (?) Travel speed (km/h). distanceKm (?) Distance between stops (km). csvRowNumber1 (?) The row number of the first stop time. stopSequence1 (?) `stop_sequence` of the first stop. stopId1 (?) `stop_id` of the first stop. stopName1 (?) `stop_name` of the first stop. departureTime1 (?) `departure_time` of the first stop. csvRowNumber2 (?) The row number of the second stop time. stopSequence2 (?) `stop_sequence` of the second stop. stopId2 (?) `stop_id` of the second stop. stopName2 (?) `stop_name` of the second stop. arrivalTime2 (?) `arrival_time` of the second stop.
691 "103025-399070" "103025-20" 159.51089033124268 1.6837260646075616 23965 18 "103025-170" "N Alpine Pepper-Nwc" "10:33:44" 23966 19 "103025-172" "N Alpine Linder-Nwc" "10:34:22"
674 "103025-285020" "103025-20" 159.51089033124268 1.6837260646075616 23320 18 "103025-170" "N Alpine Pepper-Nwc" "10:33:44" 23321 19 "103025-172" "N Alpine Linder-Nwc" "10:34:22"
676 "103025-990020" "103025-20" 159.51089033124268 1.6837260646075616 23406 18 "103025-170" "N Alpine Pepper-Nwc" "08:33:44" 23407 19 "103025-172" "N Alpine Linder-Nwc" "08:34:22"
678 "103025-997020" "103025-20" 159.51089033124268 1.6837260646075616 23493 18 "103025-170" "N Alpine Pepper-Nwc" "06:33:44" 23494 19 "103025-172" "N Alpine Linder-Nwc" "06:34:22"
684 "103025-1047070" "103025-20" 159.51089033124268 1.6837260646075616 23721 18 "103025-170" "N Alpine Pepper-Nwc" "14:33:44" 23722 19 "103025-172" "N Alpine Linder-Nwc" "14:34:22"
682 "103025-1169020" "103025-20" 159.51089033124268 1.6837260646075616 23665 18 "103025-170" "N Alpine Pepper-Nwc" "14:33:44" 23666 19 "103025-172" "N Alpine Linder-Nwc" "14:34:22"
688 "103025-1312070" "103025-20" 159.51089033124268 1.6837260646075616 23879 18 "103025-170" "N Alpine Pepper-Nwc" "16:33:44" 23880 19 "103025-172" "N Alpine Linder-Nwc" "16:34:22"
686 "103025-1228070" "103025-20" 159.51089033124268 1.6837260646075616 23807 18 "103025-170" "N Alpine Pepper-Nwc" "17:33:44" 23808 19 "103025-172" "N Alpine Linder-Nwc" "17:34:22"
695 "103025-156020" "103025-20" 159.51089033124268 1.6837260646075616 24107 18 "103025-170" "N Alpine Pepper-Nwc" "12:33:44" 24108 19 "103025-172" "N Alpine Linder-Nwc" "12:34:22"
677 "103025-784070" "103025-20" 159.51089033124268 1.6837260646075616 23450 19 "103025-170" "N Alpine Pepper-Nwc" "15:33:44" 23451 20 "103025-172" "N Alpine Linder-Nwc" "15:34:22"
687 "103025-1293020" "103025-20" 159.51089033124268 1.6837260646075616 23836 19 "103025-170" "N Alpine Pepper-Nwc" "15:33:44" 23837 20 "103025-172" "N Alpine Linder-Nwc" "15:34:22"
681 "103025-1307020" "103025-20" 159.51089033124268 1.6837260646075616 23622 18 "103025-170" "N Alpine Pepper-Nwc" "17:33:44" 23623 19 "103025-172" "N Alpine Linder-Nwc" "17:34:22"
696 "103025-387020" "103025-20" 159.51089033124268 1.6837260646075616 24135 18 "103025-170" "N Alpine Pepper-Nwc" "16:33:44" 24136 19 "103025-172" "N Alpine Linder-Nwc" "16:34:22"
675 "103025-646070" "103025-20" 159.51089033124268 1.6837260646075616 23363 18 "103025-170" "N Alpine Pepper-Nwc" "11:33:44" 23364 19 "103025-172" "N Alpine Linder-Nwc" "11:34:22"
693 "103025-615020" "103025-20" 159.51089033124268 1.6837260646075616 24021 18 "103025-170" "N Alpine Pepper-Nwc" "11:33:44" 24022 19 "103025-172" "N Alpine Linder-Nwc" "11:34:22"
1006 "103025-41010" "103025-45" 150.35946282139983 0.37589865705349956 34971 6 "103025-1014" "Amazon Airport" "16:41:51" 34972 7 "103025-1051" "Kishwaukee RD Amazon/Pinnacle" "16:42:00"
689 "103025-1429070" "103025-20" 159.51089033124268 1.6837260646075616 23907 18 "103025-170" "N Alpine Pepper-Nwc" "12:33:44" 23908 19 "103025-172" "N Alpine Linder-Nwc" "12:34:22"
685 "103025-17020" "103025-20" 159.51089033124268 1.6837260646075616 23764 18 "103025-170" "N Alpine Pepper-Nwc" "09:33:44" 23765 19 "103025-172" "N Alpine Linder-Nwc" "09:34:22"
1005 "103025-1035010" "103025-45" 150.35946282139983 0.37589865705349956 34924 6 "103025-1014" "Amazon Airport" "09:41:51" 34925 7 "103025-1051" "Kishwaukee RD Amazon/Pinnacle" "09:42:00"
694 "103025-589020" "103025-20" 159.51089033124268 1.6837260646075616 24064 18 "103025-170" "N Alpine Pepper-Nwc" "07:33:44" 24065 19 "103025-172" "N Alpine Linder-Nwc" "07:34:22"
680 "103025-951020" "103025-20" 159.51089033124268 1.6837260646075616 23579 18 "103025-170" "N Alpine Pepper-Nwc" "13:33:44" 23580 19 "103025-172" "N Alpine Linder-Nwc" "13:34:22"
679 "103025-633070" "103025-20" 159.51089033124268 1.6837260646075616 23536 18 "103025-170" "N Alpine Pepper-Nwc" "13:33:44" 23537 19 "103025-172" "N Alpine Linder-Nwc" "13:34:22"
feed_expiration_date7_days WARNING 1

feed_expiration_date7_days

Dataset should be valid for at least the next 7 days.

The dataset expiration date defined in feed_info.txt is in seven days or less. At any time, the published GTFS dataset should be valid for at least the next 7 days.

You can see more about this notice here.

csvRowNumber (?) The row number of the faulty record. currentDate (?) Current date (YYYYMMDD format). feedEndDate (?) Feed end date (YYYYMMDD format). suggestedExpirationDate (?) Suggested expiration date (YYYYMMDD format).
2 "20260424" "20240611" "20260501"
trip_coverage_not_active_for_next7_days WARNING 1

trip_coverage_not_active_for_next7_days

Trips data should be valid for at least the next seven days.

This notice is triggered if the date range where a significant number of trips are running ends in less than 7 days.

You can see more about this notice here.

currentDate (?) Current date (YYYYMMDD format). serviceWindowStartDate (?) The start date of the majority service window. serviceWindowEndDate (?) The end date of the majority service window.
"20260424" "20230611" "20240609"