GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2025-12-12T19:52:18Z,
for the dataset file:///shared/nouvelle-caledonie-taneo.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Feed Info


Publisher Name:
Busmaps.com
Publisher URL:
https://busmaps.com
Feed Email:
alex@busmaps.com
Feed Language:
French
Feed Start Date:
2025-11-29
Feed End Date:
2025-12-31

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: 2
  • Blocks: 154
  • Routes: 8
  • Shapes: 20
  • Stops: 556
  • Trips: 504

Specification Compliance report

34 notices reported (0 errors, 34 warnings, 0 infos)

Notice Code Severity Total
fast_travel_between_consecutive_stops WARNING 27

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.
311 "102339-1_6810070" "102339-L3" 374.91294529811626 0.3124274544150969 7478 24 "102339-0:NTIVO03" "Tivolier" "12:37:57" 7479 25 "102339-0:NBOUS02" "Bousquet" "12:38:00"
314 "102339-1_6810069" "102339-L3" 374.91294529811626 0.3124274544150969 7556 24 "102339-0:NTIVO03" "Tivolier" "11:37:57" 7557 25 "102339-0:NBOUS02" "Bousquet" "11:38:00"
455 "102339-0_3814099" "102339-L3" 374.91294529811626 0.3124274544150969 12153 24 "102339-0:NTIVO03" "Tivolier" "13:37:57" 12154 25 "102339-0:NBOUS02" "Bousquet" "13:38:00"
313 "102339-1_6810068" "102339-L3" 374.91294529811626 0.3124274544150969 7530 24 "102339-0:NTIVO03" "Tivolier" "10:37:57" 7531 25 "102339-0:NBOUS02" "Bousquet" "10:38:00"
295 "102339-0_1814111" "102339-L3" 374.91294529811626 0.3124274544150969 7053 24 "102339-0:NTIVO03" "Tivolier" "17:07:57" 7054 25 "102339-0:NBOUS02" "Bousquet" "17:08:00"
457 "102339-0_3814098" "102339-L3" 374.91294529811626 0.3124274544150969 12205 24 "102339-0:NTIVO03" "Tivolier" "13:17:57" 12206 25 "102339-0:NBOUS02" "Bousquet" "13:18:00"
301 "102339-0_3814095" "102339-L3" 374.91294529811626 0.3124274544150969 7215 24 "102339-0:NTIVO03" "Tivolier" "11:37:57" 7216 25 "102339-0:NBOUS02" "Bousquet" "11:38:00"
315 "102339-1_6810075" "102339-L3" 374.91294529811626 0.3124274544150969 7582 24 "102339-0:NTIVO03" "Tivolier" "17:37:57" 7583 25 "102339-0:NBOUS02" "Bousquet" "17:38:00"
458 "102339-0_3814096" "102339-L3" 374.91294529811626 0.3124274544150969 12231 24 "102339-0:NTIVO03" "Tivolier" "11:57:57" 12232 25 "102339-0:NBOUS02" "Bousquet" "11:58:00"
456 "102339-0_3814097" "102339-L3" 374.91294529811626 0.3124274544150969 12179 24 "102339-0:NTIVO03" "Tivolier" "12:37:57" 12180 25 "102339-0:NBOUS02" "Bousquet" "12:38:00"
303 "102339-0_1814115" "102339-L3" 374.91294529811626 0.3124274544150969 7266 24 "102339-0:NTIVO03" "Tivolier" "18:27:57" 7267 25 "102339-0:NBOUS02" "Bousquet" "18:28:00"
463 "102339-0_3814120" "102339-L3" 374.91294529811626 0.3124274544150969 12364 24 "102339-0:NTIVO03" "Tivolier" "12:17:57" 12365 25 "102339-0:NBOUS02" "Bousquet" "12:18:00"
310 "102339-1_6810065" "102339-L3" 374.91294529811626 0.3124274544150969 7452 24 "102339-0:NTIVO03" "Tivolier" "07:36:57" 7453 25 "102339-0:NBOUS02" "Bousquet" "07:37:00"
388 "102339-1_6810072" "102339-L3" 374.91294529811626 0.3124274544150969 9648 24 "102339-0:NTIVO03" "Tivolier" "14:37:57" 9649 25 "102339-0:NBOUS02" "Bousquet" "14:38:00"
462 "102339-0_3814121" "102339-L3" 374.91294529811626 0.3124274544150969 12338 24 "102339-0:NTIVO03" "Tivolier" "12:57:57" 12339 25 "102339-0:NBOUS02" "Bousquet" "12:58:00"
305 "102339-0_1814114" "102339-L3" 374.91294529811626 0.3124274544150969 7318 24 "102339-0:NTIVO03" "Tivolier" "18:06:57" 7319 25 "102339-0:NBOUS02" "Bousquet" "18:07:00"
307 "102339-1_6810066" "102339-L3" 374.91294529811626 0.3124274544150969 7374 24 "102339-0:NTIVO03" "Tivolier" "08:36:57" 7375 25 "102339-0:NBOUS02" "Bousquet" "08:37:00"
385 "102339-1_6810074" "102339-L3" 374.91294529811626 0.3124274544150969 9566 24 "102339-0:NTIVO03" "Tivolier" "16:37:57" 9567 25 "102339-0:NBOUS02" "Bousquet" "16:38:00"
309 "102339-1_6810064" "102339-L3" 374.91294529811626 0.3124274544150969 7426 24 "102339-0:NTIVO03" "Tivolier" "06:36:57" 7427 25 "102339-0:NBOUS02" "Bousquet" "06:37:00"
391 "102339-1_6810073" "102339-L3" 374.91294529811626 0.3124274544150969 9738 24 "102339-0:NTIVO03" "Tivolier" "15:37:57" 9739 25 "102339-0:NBOUS02" "Bousquet" "15:38:00"
394 "102339-1_6810077" "102339-L3" 374.91294529811626 0.3124274544150969 9820 24 "102339-0:NTIVO03" "Tivolier" "18:36:57" 9821 25 "102339-0:NBOUS02" "Bousquet" "18:37:00"
308 "102339-1_6810067" "102339-L3" 374.91294529811626 0.3124274544150969 7400 24 "102339-0:NTIVO03" "Tivolier" "09:37:57" 7401 25 "102339-0:NBOUS02" "Bousquet" "09:38:00"
312 "102339-1_6810071" "102339-L3" 374.91294529811626 0.3124274544150969 7504 24 "102339-0:NTIVO03" "Tivolier" "13:37:57" 7505 25 "102339-0:NBOUS02" "Bousquet" "13:38:00"
304 "102339-0_1814113" "102339-L3" 374.91294529811626 0.3124274544150969 7292 24 "102339-0:NTIVO03" "Tivolier" "17:46:57" 7293 25 "102339-0:NBOUS02" "Bousquet" "17:47:00"
296 "102339-0_1814112" "102339-L3" 374.91294529811626 0.3124274544150969 7079 24 "102339-0:NTIVO03" "Tivolier" "17:26:57" 7080 25 "102339-0:NBOUS02" "Bousquet" "17:27:00"
272 "102339-0_1814088" "102339-L3" 374.91294529811626 0.3124274544150969 6514 24 "102339-0:NTIVO03" "Tivolier" "08:19:57" 6515 25 "102339-0:NBOUS02" "Bousquet" "08:20:00"
282 "102339-0_1814087" "102339-L3" 374.91294529811626 0.3124274544150969 6740 24 "102339-0:NTIVO03" "Tivolier" "08:02:57" 6741 25 "102339-0:NBOUS02" "Bousquet" "08:03:00"
feed_expiration_date30_days WARNING 1

feed_expiration_date30_days

Dataset should cover at least the next 30 days of service.

At any time, the GTFS dataset should cover at least the next 30 days of service, and ideally for as long as the operator is confident that the schedule will continue to be operated.

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 "20251212" "20251231" "20260111"
mixed_case_recommended_field WARNING 6

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" "05-mai" 268
"stops.txt" "stop_name" "05-mai" 269
"stops.txt" "stop_name" "18-juin" 337
"stops.txt" "stop_name" "18-juin" 338
"stops.txt" "stop_name" "05-mai" 429
"stops.txt" "stop_name" "18-juin" 437