GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 8.0.1 at 2026-06-19T19:09:16Z,
for the dataset file:///shared/braga_26d95e97.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included


Feed Info


Publisher Name:
N/A
Publisher URL:
N/A
Feed Email:
N/A
Feed Language:
N/A

Files included


  1. agency.txt
  2. calendar.txt
  3. calendar_dates.txt
  4. delays.txt
  5. lines.txt
  6. routes.txt
  7. shapes.txt
  8. stop_times.txt
  9. stops.txt
  10. trip_notes.txt
  11. trips.txt

Counts


  • Agencies: 0
  • Blocks: 0
  • Routes: 0
  • Shapes: 452
  • Stops: 0
  • Trips: 5498

Specification Compliance report

6214 notices reported (768 errors, 14 warnings, 5432 infos)

Notice Code Severity Total
duplicate_key ERROR 14

duplicate_key

Duplicated entity.

The values of the given key and rows are duplicates.

You can see more about this notice here.

filename (?) The name of the faulty file oldCsvRowNumber (?) The row of the first occurrence. newCsvRowNumber (?) The row of the other occurrence. fieldName1 (?) Composite key's first field name. fieldValue1 (?) Composite key's first value.
"calendar.txt" 4 5 "service_id" "30167"
"calendar.txt" 3 7 "service_id" "3017"
"calendar.txt" 10 12 "service_id" "234"
"calendar.txt" 9 13 "service_id" "2345"
"calendar.txt" 8 15 "service_id" "245"
"calendar.txt" 11 16 "service_id" "24"
"calendar.txt" 10 17 "service_id" "234"
"calendar.txt" 9 18 "service_id" "2345"
"calendar.txt" 9 20 "service_id" "2345"
"calendar.txt" 8 21 "service_id" "245"
"calendar.txt" 4 23 "service_id" "30167"
"calendar.txt" 3 24 "service_id" "3017"
"calendar.txt" 4 25 "service_id" "30167"
"calendar.txt" 2 26 "service_id" "307"
invalid_character ERROR 704

invalid_character

This field contains invalid characters, such as the replacement character ("�").

Check that text was properly encoded in UTF-8 as required by GTFS.

You can see more about this notice here.

Only the first 50 of 704 affected records are displayed below.

filename (?) The name of the file containing the invalid characters. csvRowNumber (?) The row number in the CSV file where the invalid characters were found. fieldName (?) The name of the field containing the invalid characters. fieldValue (?) The value of the field containing the invalid characters.
"routes.txt" 5 "route_long_name" "Alfacoop - Ant�nio Macedo"
"routes.txt" 6 "route_long_name" "Ten�es - Bosch/Delphi"
"routes.txt" 7 "route_long_name" "Pinheiro Greg�ria - Bosch/Delphi"
"routes.txt" 11 "route_long_name" "Padim da Gra�a - Bosch/Delphi"
"routes.txt" 12 "route_long_name" "EB23 C�vado - Padim da Gra�a"
"routes.txt" 13 "route_long_name" "EB23 C�vado - Ponte de Prado"
"routes.txt" 15 "route_long_name" "EB23 Palmeira - Ada�fe"
"routes.txt" 17 "route_long_name" "TUB - S. Jo�o Robert Smith"
"routes.txt" 18 "route_long_name" "TUB - S. Jo�o Est�dio Municipal"
"routes.txt" 19 "route_long_name" "TUB S. Jo�o E.Leclerc"
"routes.txt" 21 "route_long_name" "Est�dio - Parque Rodovia"
"routes.txt" 24 "route_long_name" "Pra�a Conde de Agrolongo - Priscos"
"routes.txt" 27 "route_long_name" "S. Mamede d' Este - Celeir�s"
"routes.txt" 29 "route_long_name" "Ru�es - Nogueira (Barral)"
"routes.txt" 30 "route_long_name" "Rua do Raio - Pinheiro do Bicho via Espor�es"
"routes.txt" 32 "route_long_name" "Pra�a Conde de Agrolongo - Tadim"
"routes.txt" 35 "route_long_name" "Avenida Central - Ru�es"
"routes.txt" 36 "route_long_name" "Esta��o C.F. - Universidade do Minho"
"routes.txt" 46 "route_long_name" "Circuito Universit�rio"
"routes.txt" 47 "route_long_name" "Esta��o - Universidade do Minho"
"routes.txt" 48 "route_long_name" "Avenida Central - Padim da Gra�a"
"routes.txt" 49 "route_long_name" "Miseric�rdia - S. Mamede D'Este"
"routes.txt" 50 "route_long_name" "Pra�a Conde de Agrolongo - P�voa"
"routes.txt" 51 "route_long_name" "Rua Raio (Lg. Jo�o Penha) - Nogueira - Rua Raio"
"routes.txt" 57 "route_long_name" "Av Central - Ada�fe"
"routes.txt" 58 "route_long_name" "Cam�lias - Hospital"
"routes.txt" 59 "route_long_name" "Avenida Central - Mo�nhos via Ada�fe"
"routes.txt" 61 "route_long_name" "Conde Agrolongo - Ru�lhe/Cachada"
"routes.txt" 62 "route_long_name" "Esta��o C.F. - Hospital"
"routes.txt" 63 "route_long_name" "Raio (Lg. Jo�o Penha) - Espinho/Sameiro"
"routes.txt" 65 "route_long_name" "Padim da Gra�a - Nogueir�"
"routes.txt" 67 "route_long_name" "Hotel Lama��es - E.Eleclerc"
"routes.txt" 68 "route_long_name" "Ponte Pedrinha - Mont�lios"
"routes.txt" 71 "route_long_name" "Avenida Central - Ru�es"
"routes.txt" 72 "route_long_name" "Mazag�o - Av Central"
"routes.txt" 73 "route_long_name" "Avenida Central - Monte do Ouro/Mo�nhos"
"routes.txt" 74 "route_long_name" "Raio - Trandeiras (via Espor�es)"
"routes.txt" 76 "route_long_name" "EB23 Gualtar - Ten�es"
"routes.txt" 78 "route_long_name" "Secund�ria Maximinos - Av Central"
"routes.txt" 79 "route_long_name" "EB23 Tadim - Mazag�o"
"routes.txt" 80 "route_long_name" "Sete Fontes - Esp�rito Santo"
"routes.txt" 83 "route_long_name" "EB23 Celeir�s - Macada"
"routes.txt" 84 "route_long_name" "EB23 Celeir�s - Escudeiros"
"routes.txt" 85 "route_long_name" "EB23 Celeir�s - Aveleda"
"routes.txt" 86 "route_long_name" "Uminho - F�rum Braga"
"routes.txt" 89 "route_long_name" "Ferreiros- Frai�o"
"routes.txt" 94 "route_long_name" "Monte D�Arcos - Merelim S. Roque"
"routes.txt" 95 "route_long_name" "Avenida General Norton de Matos - S. Juli�o Passos"
"routes.txt" 100 "route_long_name" "Est�dio - P.C. Agrolongo"
"routes.txt" 103 "route_long_name" "Conde Agrolongo - Miseric�rdia (via Maximinos)"
missing_required_field ERROR 1

missing_required_field

A required field is missing.

The given field has no value in some input row, even though values are required.

You can see more about this notice here.

filename (?) The name of the faulty file. csvRowNumber (?) The row of the faulty record. fieldName (?) The name of the missing field.
"agency.txt" 2 "agency_url"
stop_time_with_arrival_before_previous_departure_time ERROR 49

stop_time_with_arrival_before_previous_departure_time

Backwards time travel between stops in stop_times.txt

For a given trip_id, the arrival_time of (n+1)-th stoptime in sequence must not precede the departure_time of n-th stoptime in sequence in stop_times.txt.

You can see more about this notice here.

csvRowNumber (?) The row number of the faulty record. prevCsvRowNumber (?) The row of the previous stop time. tripId (?) The trip_id associated to the faulty record. arrivalTime (?) Arrival time at the faulty record. departureTime (?) Departure time at the previous stop time.
110395 110396 "4611632" "10:24:00" "10:25:00"
110034 151980 "4611631" "09:39:00" "09:40:00"
109875 110023 "4611630" "08:54:00" "08:55:00"
112498 152019 "4611636" "13:24:00" "13:25:00"
110420 152012 "4611635" "12:39:00" "12:40:00"
110069 112472 "4611634" "11:54:00" "11:55:00"
112466 110057 "4611633" "11:09:00" "11:10:00"
112896 110115 "4611639" "15:39:00" "15:40:00"
110444 110445 "4611638" "14:54:00" "14:55:00"
152032 152033 "4611637" "14:09:00" "14:10:00"
109814 151893 "4611621" "17:54:00" "17:55:00"
109799 112255 "4611620" "17:09:00" "17:10:00"
151932 151933 "4611625" "20:09:00" "20:10:00"
109723 112396 "4611623" "19:24:00" "19:25:00"
109711 109712 "4611622" "18:39:00" "18:40:00"
151964 151965 "4611629" "08:09:00" "08:10:00"
151954 112425 "4611628" "07:24:00" "07:25:00"
112422 151948 "4611627" "06:39:00" "06:40:00"
110955 110378 "4611654" "11:54:00" "11:55:00"
110366 113004 "4611653" "11:09:00" "11:10:00"
110354 110355 "4611652" "10:24:00" "10:25:00"
110920 112986 "4611651" "09:39:00" "09:40:00"
110666 110667 "4611658" "14:54:00" "14:55:00"
110984 113284 "4611657" "14:09:00" "14:10:00"
152201 113273 "4611656" "13:24:00" "13:25:00"
110389 110390 "4611655" "12:39:00" "12:40:00"
152226 111003 "4611659" "15:39:00" "15:40:00"
152151 110913 "4611650" "08:54:00" "08:55:00"
152096 110274 "4611643" "18:39:00" "18:40:00"
110473 112913 "4611641" "17:09:00" "17:10:00"
110463 110124 "4611640" "16:24:00" "16:25:00"
110891 152120 "4611647" "06:39:00" "06:40:00"
110301 110506 "4611645" "20:09:00" "20:10:00"
152106 110288 "4611644" "19:24:00" "19:25:00"
152142 152143 "4611649" "08:09:00" "08:10:00"
152129 110317 "4611648" "07:24:00" "07:25:00"
109387 109388 "4611614" "12:39:00" "12:40:00"
151867 109776 "4611618" "15:39:00" "15:40:00"
109664 109665 "4611617" "14:54:00" "14:55:00"
109510 151851 "4611616" "14:09:00" "14:10:00"
109504 151835 "4611615" "13:24:00" "13:25:00"
112248 112249 "4611619" "16:24:00" "16:25:00"
113346 152291 "4611665" "20:09:00" "20:10:00"
110718 110719 "4611664" "19:24:00" "19:25:00"
152264 113330 "4611663" "18:39:00" "18:40:00"
113321 152254 "4611662" "17:54:00" "17:55:00"
152241 110694 "4611661" "17:09:00" "17:10:00"
111140 110686 "4611660" "16:24:00" "16:25:00"
111512 111513 "4611581" "09:11:00" "09:12:00"
expired_calendar WARNING 11

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 "307"
3 "3017"
4 "30167"
6 "1"
8 "245"
9 "2345"
10 "234"
11 "24"
14 "3"
19 "5"
22 "6"
missing_recommended_file WARNING 1

missing_recommended_file

A recommended file is missing.

You can see more about this notice here.

filename (?) The name of the faulty file.
"feed_info.txt"
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" "UNIVERSIDADE MINHO II" 1841
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.
"20260619" "20251202" "20251205"
unknown_column INFO 1

unknown_column

A column name is unknown.

You can see more about this notice here.

filename (?) The name of the faulty file. fieldName (?) The name of the unknown column. index (?) The index of the faulty column.
"trips.txt" "public_id" 6
unknown_file INFO 3

unknown_file

A file is unknown.

You can see more about this notice here.

filename (?) The name of the unknown file.
"delays.txt"
"lines.txt"
"trip_notes.txt"
unsorted_stop_times INFO 5428

unsorted_stop_times

Stop times are not sorted by trip_id and stop_sequence.

'stop_times.txt' entries for a given trip are not sorted by stop_sequence, or are not contiguous in the file.

You can see more about this notice here.

Only the first 50 of 5428 affected records are displayed below.

tripId (?) The faulty record's trip_id. startCsvRowNumber (?) CSV row number of the first stop_times entry for this trip. endCsvRowNumber (?) CSV row number of the last stop_times entry for this trip.
"4552214" 53098 133417
"4610663" 108360 151436
"4552213" 53097 133415
"4610664" 108364 151445
"4552212" 53091 133410
"4610661" 108351 151425
"4552211" 53089 133408
"4610662" 108354 151432
"4552210" 53087 133407
"4610667" 108385 151467
"4610668" 108603 151477
"4610665" 108367 151455
"4610666" 108376 151461
"4610669" 108614 151486
"4552219" 53118 133440
"4552218" 53114 133438
"4552217" 53111 133432
"4586470" 95288 96661
"4552216" 53107 133427
"4552215" 53103 133423
"4586475" 95292 146787
"4586474" 95291 146786
"4586473" 95290 146785
"4586472" 95289 146784
"4586479" 94107 95295
"4586478" 94106 96664
"4586477" 95294 146789
"4586476" 95293 146788
"4610660" 108343 151422
"4552203" 53062 133385
"4610652" 108263 151380
"4552202" 53060 133382
"4610653" 108307 151387
"4552201" 53058 133377
"4610650" 108250 151366
"4552200" 53053 133372
"4610651" 108257 151375
"4610656" 108323 151404
"4610657" 108330 151408
"4610654" 108310 151391
"4610655" 108315 151398
"4552209" 53085 133404
"4610658" 108333 151416
"4552208" 53083 133402
"4610659" 108339 151418
"4552207" 53078 133398
"4552206" 53071 133394
"4552205" 53069 133392
"4552204" 53066 133388
"4586464" 94104 146779