gommagtfsfe2 — Source Data Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-03-30T11:24:31Z,
for the dataset file:///shared/gommagtfsfe2_c754e18c.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. note_links.txt
  5. notes.txt
  6. routes.txt
  7. shapes.txt
  8. stop_times.txt
  9. stops.txt
  10. trips.txt

Counts


  • Agencies: 1
  • Blocks: 0
  • Routes: 238
  • Shapes: 1611
  • Stops: 6556
  • Trips: 43825

Specification Compliance report

5428 notices reported (0 errors, 5426 warnings, 2 infos)

Notice Code Severity Total
expired_calendar WARNING 816

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.

Only the first 50 of 816 affected records are displayed below.

csvRowNumber (?) The row of the faulty record. serviceId (?) The service id of the faulty record.
2 "1668_1000000024130"
3 "1668_1000000024189"
4 "1668_1000000024194"
5 "1668_1000000024237"
6 "1668_1000000024316"
7 "1668_1000000024334"
8 "1668_1000000024347"
9 "1668_1000000024524"
10 "1668_1000000024525"
11 "1668_1000000024526"
12 "1668_1000000024529"
13 "1668_1000000024568"
14 "1668_1000000024569"
15 "1668_1000000024571"
16 "1668_1000000024572"
17 "1668_1000000024618"
18 "1668_1000000024619"
19 "1668_1000000024621"
20 "1668_1000000024622"
21 "1668_1000000024624"
22 "1668_1000000024625"
23 "1668_1000000024626"
24 "1668_1000000024627"
25 "1668_1000000024628"
26 "1668_1000000024630"
27 "1668_1000000024631"
28 "1668_1000000024632"
29 "1668_1000000024633"
30 "1668_1000000024635"
31 "1668_1000000024636"
32 "1668_1000000024637"
33 "1668_1000000024639"
34 "1668_1000000024640"
35 "1668_1000000024642"
36 "1668_1000000024643"
37 "1668_1000000024644"
38 "1668_1000000024645"
39 "1668_1000000024648"
40 "1668_1000000024649"
41 "1668_1000000024651"
42 "1668_1000000024652"
43 "1668_1000000024653"
44 "1668_1000000024656"
45 "1668_1000000024657"
46 "1668_1000000024658"
47 "1668_1000000024659"
48 "1668_1000000024660"
49 "1668_1000000024661"
50 "1668_1000000024662"
51 "1668_1000000024664"
fast_travel_between_consecutive_stops WARNING 6

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.
10840 "1668_10558226" "353" 152.0028417051664 1.35113637071259 728 24 "35033" "CASONI" "17:05:00" 729 25 "35037" "CANALETTO" "17:05:32"
34105 "1670_10558226" "353" 152.0028417051664 1.35113637071259 526633 24 "35033" "CASONI" "17:05:00" 526634 25 "35037" "CANALETTO" "17:05:32"
10840 "1668_10558226" "353" 152.88070248283069 1.274005854023589 729 25 "35037" "CANALETTO" "17:05:32" 730 26 "35041" "BIVIO VIA VITA" "17:06:02"
34105 "1670_10558226" "353" 152.88070248283069 1.274005854023589 526634 25 "35037" "CANALETTO" "17:05:32" 526635 26 "35041" "BIVIO VIA VITA" "17:06:02"
10840 "1668_10558226" "353" 153.4024473985559 0.9800711917129961 730 26 "35041" "BIVIO VIA VITA" "17:06:02" 731 27 "35045" "ALTEDO CASE NUOVE" "17:06:25"
34105 "1670_10558226" "353" 153.4024473985559 0.9800711917129961 526635 26 "35041" "BIVIO VIA VITA" "17:06:02" 526636 27 "35045" "ALTEDO CASE NUOVE" "17:06:25"
leading_or_trailing_whitespaces WARNING 1

leading_or_trailing_whitespaces

The value in CSV file has leading or trailing whitespaces.

This notice is emitted for values protected with double quotes since whitespaces for non-protected values are trimmed automatically by CSV parser.

The validator strips whitespaces from protected values. We do not see any use case when such a whitespace may be needed. On the other hand, some real-world feeds use trailing whitespaces for some values and omit them for the others. This is causing the largest problem when a primary key and a foreign key differ just by a whitespace: it is clear that they are intended to be the same, that is why we always strip whitespaces.

You can see more about this notice here.

filename (?) The name of the faulty file. csvRowNumber (?) The row of the faulty record. fieldName (?) Faulty record's field name. fieldValue (?) Faulty value.
"stops.txt" 126 "stop_name" "SAN LAZZARO KENNEDY - SCORNETTA "
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 4601

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.

Only the first 50 of 4601 affected records are displayed below.

filename (?) Name of the faulty file. fieldName (?) Name of the faulty field. fieldValue (?) Faulty value. csvRowNumber (?) The row number of the faulty record.
"agency.txt" "agency_name" "TPER spa" 2
"stops.txt" "stop_name" "STAZIONE CENTRALE" 2
"stops.txt" "stop_name" "PORTA GALLIERA" 3
"stops.txt" "stop_name" "PIAZZA MAGGIORE" 4
"stops.txt" "stop_name" "IDICE TRE PONTI" 7
"stops.txt" "stop_name" "IDICE TRE PONTI" 8
"stops.txt" "stop_name" "IDICE TRE PONTI" 9
"stops.txt" "stop_name" "PORTA MAGGIORE" 16
"stops.txt" "stop_name" "OZZANO STAZIONE" 19
"stops.txt" "stop_name" "OZZANO PIAVE" 20
"stops.txt" "stop_name" "OZZANO PIAVE" 21
"stops.txt" "stop_name" "TOLARA BIVIO" 22
"stops.txt" "stop_name" "PORTA MAGGIORE" 23
"stops.txt" "stop_name" "TOLARA BIVIO" 24
"stops.txt" "stop_name" "CASETTI BONI" 25
"stops.txt" "stop_name" "CASETTI BONI" 26
"stops.txt" "stop_name" "VIA DELLO SPORT" 29
"stops.txt" "stop_name" "VIA DELLO SPORT" 31
"stops.txt" "stop_name" "PONTE QUADERNA" 32
"stops.txt" "stop_name" "PONTE QUADERNA" 33
"stops.txt" "stop_name" "OSTERIA GRANDE" 34
"stops.txt" "stop_name" "OSTERIA GRANDE" 35
"stops.txt" "stop_name" "OSTERIA GRANDE SEROTTI" 36
"stops.txt" "stop_name" "SAN NICOLO` DI VARIGNANA" 40
"stops.txt" "stop_name" "SAN NICOLO` DI VARIGNANA" 41
"stops.txt" "stop_name" "ALEMANNI - AGEOP RICERCA" 44
"stops.txt" "stop_name" "CASTEL S.PIETRO T. FIAT" 51
"stops.txt" "stop_name" "CASTEL S.PIETRO T. FIAT" 52
"stops.txt" "stop_name" "CASTEL S.PIETRO MARTIRI PARTIGIANI" 53
"stops.txt" "stop_name" "CASTEL S.PIETRO MARTIRI PARTIGIANI" 54
"stops.txt" "stop_name" "CASTEL S.PIETRO MARTIRI PARTIGIANI" 55
"stops.txt" "stop_name" "TOSCANELLA 25 APRILE" 59
"stops.txt" "stop_name" "TOSCANELLA 25 APRILE" 60
"stops.txt" "stop_name" "RIO ROSSO" 61
"stops.txt" "stop_name" "RIO ROSSO" 62
"stops.txt" "stop_name" "TOSCANELLA PIAZZA DELLA LOGGIA" 63
"stops.txt" "stop_name" "ALEMANNI - AGEOP RICERCA" 65
"stops.txt" "stop_name" "PIRO PIRO" 68
"stops.txt" "stop_name" "PIRO PIRO" 69
"stops.txt" "stop_name" "LAURA BASSI" 70
"stops.txt" "stop_name" "PISACANE OLIMPIA" 72
"stops.txt" "stop_name" "PISACANE OLIMPIA" 73
"stops.txt" "stop_name" "GRATUSA BIVIO" 76
"stops.txt" "stop_name" "DOZZA BIVIO" 77
"stops.txt" "stop_name" "CALUNGA BUORE 6A" 78
"stops.txt" "stop_name" "CALUNGA BUORE ASILO" 79
"stops.txt" "stop_name" "ZELLO CHIESA" 82
"stops.txt" "stop_name" "DOZZA BIVIO" 83
"stops.txt" "stop_name" "ZELLO SUPERAL" 84
"stops.txt" "stop_name" "GUICCIARDINI SCUOLE MEDIE" 85
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.
"20260330" "20250220" "20250606"
unknown_file INFO 2

unknown_file

A file is unknown.

You can see more about this notice here.

filename (?) The name of the unknown file.
"notes.txt"
"note_links.txt"