GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2025-12-12T20:15:33Z,
for the dataset file:///shared/acrta-oh-us.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included

  • Allen County Regional Transit Authority

Feed Info

Publisher Name:
Trillium Solutions, Inc.
Feed Email:
trillium.support@optibus.com
Feed Language:
English
Feed Start Date:
2025-09-01
Feed End Date:
2026-03-14

Files included

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

Counts

  • Agencies: 1
  • Blocks: 2
  • Routes: 10
  • Shapes: 13
  • Stops: 335
  • Trips: 206

Specification Compliance report

23 notices reported (0 errors, 23 warnings, 0 infos)

Notice Code Severity Total
fast_travel_between_consecutive_stops WARNING 11

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.
13 "t_5935902_b_83521_tn_3" "19316" 625.4753142271396 10.424588570452327 260 7 "4242103" "Elida Rd and Lehman" "17:56:00" 261 8 "4242104" "Elida and Greenlawn" "17:56:00"
23 "t_5935895_b_83521_tn_2" "19317" 487.2689381867238 8.12114896977873 458 6 "4242072" "S. Main and Bentley" "17:02:00" 459 7 "4242073" "Pilot" "17:02:00"
3 "t_5935901_b_83521_tn_1" "19316" 625.4753142271396 10.424588570452327 30 7 "4242103" "Elida Rd and Lehman" "05:56:00" 31 8 "4242104" "Elida and Greenlawn" "05:56:00"
5 "t_5935901_b_83521_tn_2" "19316" 625.4753142271396 10.424588570452327 76 7 "4242103" "Elida Rd and Lehman" "07:56:00" 77 8 "4242104" "Elida and Greenlawn" "07:56:00"
17 "t_5935894_b_83521_tn_2" "19317" 487.2689381867238 8.12114896977873 344 6 "4242072" "S. Main and Bentley" "09:02:00" 345 7 "4242073" "Pilot" "09:02:00"
15 "t_5935894_b_83521_tn_1" "19317" 487.2689381867238 8.12114896977873 306 6 "4242072" "S. Main and Bentley" "07:02:00" 307 7 "4242073" "Pilot" "07:02:00"
11 "t_5935902_b_83521_tn_2" "19316" 625.4753142271396 10.424588570452327 214 7 "4242103" "Elida Rd and Lehman" "15:56:00" 215 8 "4242104" "Elida and Greenlawn" "15:56:00"
9 "t_5935902_b_83521_tn_1" "19316" 625.4753142271396 10.424588570452327 168 7 "4242103" "Elida Rd and Lehman" "13:56:00" 169 8 "4242104" "Elida and Greenlawn" "13:56:00"
21 "t_5935895_b_83521_tn_1" "19317" 487.2689381867238 8.12114896977873 420 6 "4242072" "S. Main and Bentley" "15:02:00" 421 7 "4242073" "Pilot" "15:02:00"
7 "t_5935901_b_83521_tn_3" "19316" 625.4753142271396 10.424588570452327 122 7 "4242103" "Elida Rd and Lehman" "09:56:00" 123 8 "4242104" "Elida and Greenlawn" "09:56:00"
19 "t_5935894_b_83521_tn_3" "19317" 487.2689381867238 8.12114896977873 382 6 "4242072" "S. Main and Bentley" "11:02:00" 383 7 "4242073" "Pilot" "11:02:00"
fast_travel_between_far_stops WARNING 11

fast_travel_between_far_stops

A transit vehicle moves too fast between two far stops.

Two stops are considered "far" if they are more than 10 km apart. This normally indicates a more serious problem than too fast travel between consecutive stops.

The speed threshold depends on route type and are the same as fast_travel_between_consecutive_stops.

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.
13 "t_5935902_b_83521_tn_3" "19316" 625.4753142271396 10.424588570452327 260 7 "4242103" "Elida Rd and Lehman" "17:56:00" 261 8 "4242104" "Elida and Greenlawn" "17:56:00"
23 "t_5935895_b_83521_tn_2" "19317" 163.4097219215848 21.787962922877977 458 6 "4242072" "S. Main and Bentley" "17:02:00" 463 11 "4242077" "81 and Prosperity" "17:09:00"
3 "t_5935901_b_83521_tn_1" "19316" 625.4753142271396 10.424588570452327 30 7 "4242103" "Elida Rd and Lehman" "05:56:00" 31 8 "4242104" "Elida and Greenlawn" "05:56:00"
5 "t_5935901_b_83521_tn_2" "19316" 625.4753142271396 10.424588570452327 76 7 "4242103" "Elida Rd and Lehman" "07:56:00" 77 8 "4242104" "Elida and Greenlawn" "07:56:00"
17 "t_5935894_b_83521_tn_2" "19317" 163.4097219215848 21.787962922877977 344 6 "4242072" "S. Main and Bentley" "09:02:00" 349 11 "4242077" "81 and Prosperity" "09:09:00"
15 "t_5935894_b_83521_tn_1" "19317" 163.4097219215848 21.787962922877977 306 6 "4242072" "S. Main and Bentley" "07:02:00" 311 11 "4242077" "81 and Prosperity" "07:09:00"
11 "t_5935902_b_83521_tn_2" "19316" 625.4753142271396 10.424588570452327 214 7 "4242103" "Elida Rd and Lehman" "15:56:00" 215 8 "4242104" "Elida and Greenlawn" "15:56:00"
9 "t_5935902_b_83521_tn_1" "19316" 625.4753142271396 10.424588570452327 168 7 "4242103" "Elida Rd and Lehman" "13:56:00" 169 8 "4242104" "Elida and Greenlawn" "13:56:00"
21 "t_5935895_b_83521_tn_1" "19317" 163.4097219215848 21.787962922877977 420 6 "4242072" "S. Main and Bentley" "15:02:00" 425 11 "4242077" "81 and Prosperity" "15:09:00"
7 "t_5935901_b_83521_tn_3" "19316" 625.4753142271396 10.424588570452327 122 7 "4242103" "Elida Rd and Lehman" "09:56:00" 123 8 "4242104" "Elida and Greenlawn" "09:56:00"
19 "t_5935894_b_83521_tn_3" "19317" 163.4097219215848 21.787962922877977 382 6 "4242072" "S. Main and Bentley" "11:02:00" 387 11 "4242077" "81 and Prosperity" "11:09:00"
mixed_case_recommended_field WARNING 1

mixed_case_recommended_field

This field has customer-facing text and should use Mixed Case (should contain upper and lower case letters).

This field contains customer-facing text and should use Mixed Case (upper and lower case letters) to ensure good readability when displayed to riders. Avoid the use of abbreviations throughout the feed (e.g. St. for Street) unless a location is called by its abbreviated name (e.g. “JFK Airport”). Abbreviations may be problematic for accessibility by screen reader software and voice user interfaces.

Good examples:
Field Text Dataset
"Schwerin, Hauptbahnhof" Verkehrsverbund Berlin-Brandenburg
"Red Hook/Atlantic Basin" NYC Ferry
"Campo Grande Norte" Carris
Bad examples:
Field Text
"GALLERIA MALL"
"3427 GG 17"
"21 Clark Rd Est"

You can see more about this notice here.

filename (?) Name of the faulty file. fieldName (?) Name of the faulty field. fieldValue (?) Faulty value. csvRowNumber (?) The row number of the faulty record.
"stops.txt" "stop_name" "IHEART media" 236