GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-05-04T14:19:28Z,
for the dataset file:///shared/navettes-l-105b41c64463d0_79ded0c0.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. routes.txt
  5. shapes.txt
  6. stop_times.txt
  7. stops.txt
  8. trips.txt
  9. trips_extension.txt

Counts

  • Agencies: 1
  • Blocks: 0
  • Routes: 2
  • Shapes: 14
  • Stops: 140
  • Trips: 120

Specification Compliance report

5397 notices reported (2554 errors, 2842 warnings, 1 infos)

Notice Code Severity Total
decreasing_or_equal_stop_time_distance ERROR 2554

decreasing_or_equal_stop_time_distance

Decreasing or equal shape_dist_traveled in stop_times.txt.

When sorted by stop_times.stop_sequence, two consecutive entries in stop_times.txt should have increasing distance, based on the field shape_dist_traveled. If the values are equal, this is considered as an error.

You can see more about this notice here.

Only the first 50 of 2554 affected records are displayed below.

tripId (?) The id of the faulty trip. stopId (?) The id of the faulty stop. csvRowNumber (?) The row number from `stop_times.txt`. shapeDistTraveled (?) Actual distance traveled along the shape from the first shape point to the faulty record. stopSequence (?) The faulty record's `stop_times.stop_sequence`. prevCsvRowNumber (?) The row number from `stop_times.txt` of the previous stop time. prevShapeDistTraveled (?) Actual distance traveled along the shape from the first shape point to the previous stop time. prevStopSequence (?) The previous record's `stop_times.stop_sequence`.
"1016349-1020698" "1071654" 1252 0.0 2 1251 0.0 1
"1016349-1020698" "1071708" 1253 0.0 3 1252 0.0 2
"1016349-1020698" "1073308" 1254 0.0 4 1253 0.0 3
"1016349-1020698" "1071658" 1255 0.0 5 1254 0.0 4
"1016349-1020698" "1071718" 1256 0.0 6 1255 0.0 5
"1016349-1020698" "1071662" 1257 0.0 7 1256 0.0 6
"1016349-1020698" "1082429" 1258 0.0 8 1257 0.0 7
"1016349-1020698" "1074182" 1259 0.0 9 1258 0.0 8
"1016349-1020698" "1071664" 1260 0.0 10 1259 0.0 9
"1016349-1020698" "1138822" 1261 0.0 11 1260 0.0 10
"1016349-1020698" "1071716" 1262 0.0 12 1261 0.0 11
"1016349-1020698" "1075050" 1263 0.0 13 1262 0.0 12
"1016349-1020698" "1071714" 1264 0.0 14 1263 0.0 13
"1016349-1020698" "1074030" 1265 0.0 15 1264 0.0 14
"1016349-1020698" "1071668" 1266 0.0 16 1265 0.0 15
"1016349-1020698" "1074186" 1267 0.0 17 1266 0.0 16
"1016349-1020698" "1071066" 1268 0.0 18 1267 0.0 17
"1016349-1020698" "1075036" 1269 0.0 19 1268 0.0 18
"1016349-1020698" "1071670" 1270 0.0 20 1269 0.0 19
"1016349-1020698" "1071676" 1271 0.0 21 1270 0.0 20
"1016349-1020698" "1071682" 1272 0.0 22 1271 0.0 21
"1016349-1020698" "1071684" 1273 0.0 23 1272 0.0 22
"1016349-1020698" "1071688" 1274 0.0 24 1273 0.0 23
"1016349-1020698" "1074060" 1275 0.0 25 1274 0.0 24
"1016349-1020697" "1071654" 1302 0.0 2 1301 0.0 1
"1016349-1020697" "1071708" 1303 0.0 3 1302 0.0 2
"1016349-1020697" "1073308" 1304 0.0 4 1303 0.0 3
"1016349-1020697" "1071658" 1305 0.0 5 1304 0.0 4
"1016349-1020697" "1071718" 1306 0.0 6 1305 0.0 5
"1016349-1020697" "1071662" 1307 0.0 7 1306 0.0 6
"1016349-1020697" "1082429" 1308 0.0 8 1307 0.0 7
"1016349-1020697" "1074182" 1309 0.0 9 1308 0.0 8
"1016349-1020697" "1071664" 1310 0.0 10 1309 0.0 9
"1016349-1020697" "1138822" 1311 0.0 11 1310 0.0 10
"1016349-1020697" "1071716" 1312 0.0 12 1311 0.0 11
"1016349-1020697" "1075050" 1313 0.0 13 1312 0.0 12
"1016349-1020697" "1071714" 1314 0.0 14 1313 0.0 13
"1016349-1020697" "1074030" 1315 0.0 15 1314 0.0 14
"1016349-1020697" "1071668" 1316 0.0 16 1315 0.0 15
"1016349-1020697" "1074186" 1317 0.0 17 1316 0.0 16
"1016349-1020697" "1071066" 1318 0.0 18 1317 0.0 17
"1016349-1020697" "1075036" 1319 0.0 19 1318 0.0 18
"1016349-1020697" "1071670" 1320 0.0 20 1319 0.0 19
"1016349-1020697" "1071676" 1321 0.0 21 1320 0.0 20
"1016349-1020697" "1071682" 1322 0.0 22 1321 0.0 21
"1016349-1020697" "1071684" 1323 0.0 23 1322 0.0 22
"1016349-1020697" "1071688" 1324 0.0 24 1323 0.0 23
"1016349-1020697" "1074060" 1325 0.0 25 1324 0.0 24
"1016349-1020695" "1071654" 1402 0.0 2 1401 0.0 1
"1016349-1020695" "1071708" 1403 0.0 3 1402 0.0 2
leading_or_trailing_whitespaces WARNING 42

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" 8 "stop_name" "Pont St-Jean "
"stops.txt" 9 "stop_name" "Camping "
"stops.txt" 12 "stop_name" "Les Danses "
"stops.txt" 14 "stop_name" "Echangeur RD8/498 "
"stops.txt" 15 "stop_name" "Les Pins "
"stops.txt" 16 "stop_name" "La Diana "
"stops.txt" 19 "stop_desc" "Jardin Public "
"stops.txt" 22 "stop_name" "Ecole de Musique "
"stops.txt" 23 "stop_name" "Centre Pleuvey "
"stops.txt" 26 "stop_name" "La Fournière "
"stops.txt" 27 "stop_name" "Mairie de Moingt "
"stops.txt" 29 "stop_name" "Gymnase "
"stops.txt" 32 "stop_name" "Gapiand "
"stops.txt" 40 "stop_name" "Cimetière Moingt "
"stops.txt" 41 "stop_name" "La Source "
"stops.txt" 43 "stop_name" "Cimetière "
"stops.txt" 50 "stop_name" "Four à Chaux "
"stops.txt" 51 "stop_name" "Mairie "
"stops.txt" 64 "stop_name" "Cimetière Moingt "
"stops.txt" 71 "stop_name" "Centre Pleuvey "
"stops.txt" 73 "stop_name" "Cimetière Moingt "
"stops.txt" 83 "stop_name" "Echangeur RD8/498 "
"stops.txt" 85 "stop_name" "Camping "
"stops.txt" 89 "stop_name" "Les Danses "
"stops.txt" 92 "stop_name" "La Source "
"stops.txt" 94 "stop_name" "Gymnase "
"stops.txt" 95 "stop_name" "Mairie de Moingt "
"stops.txt" 100 "stop_name" "Mairie "
"stops.txt" 106 "stop_name" "La Source "
"stops.txt" 107 "stop_name" "Cimetière "
"stops.txt" 109 "stop_name" "Centre Pleuvey "
"stops.txt" 118 "stop_name" "Cimetière Moingt "
"stops.txt" 119 "stop_name" "Gapiand "
"stops.txt" 125 "stop_name" "Pont St-Jean "
"stops.txt" 126 "stop_name" "Mairie de Moingt "
"stops.txt" 133 "stop_name" "Place Rosalie "
"stops.txt" 134 "stop_desc" "Place Guichard "
"stops.txt" 136 "stop_name" "Les Pins "
"stops.txt" 137 "stop_name" "Four à Chaux "
"stops.txt" 139 "stop_name" "La Fournière "
"stops.txt" 140 "stop_name" "Cimetière "
"stops.txt" 141 "stop_name" "La Fournière "
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"
missing_timepoint_value WARNING 2674

missing_timepoint_value

stop_times.timepoint value is missing for a record.

When at least one of stop_times.arrival_time or stop_times.departure_time are provided, stop_times.timepoint should be defined

You can see more about this notice here.

Only the first 50 of 2674 affected records are displayed below.

csvRowNumber (?) The row number of the faulty record. tripId (?) The faulty record's `stop_times.trip_id`. stopSequence (?) The faulty record's `stop_times.stop_sequence`.
2 "1016241-1020521" 1
3 "1016241-1020521" 2
4 "1016241-1020521" 3
5 "1016241-1020521" 4
6 "1016241-1020521" 5
7 "1016241-1020521" 6
8 "1016241-1020521" 7
9 "1016241-1020521" 8
10 "1016241-1020521" 9
11 "1016241-1020521" 10
12 "1016241-1020521" 11
13 "1016241-1020521" 12
14 "1016241-1020521" 13
15 "1016241-1020521" 14
16 "1016241-1020521" 15
17 "1016241-1020521" 16
18 "1016241-1020521" 17
19 "1016241-1020520" 1
20 "1016241-1020520" 2
21 "1016241-1020520" 3
22 "1016241-1020520" 4
23 "1016241-1020520" 5
24 "1016241-1020520" 6
25 "1016241-1020520" 7
26 "1016241-1020520" 8
27 "1016241-1020520" 9
28 "1016241-1020520" 10
29 "1016241-1020520" 11
30 "1016241-1020520" 12
31 "1016241-1020520" 13
32 "1016241-1020520" 14
33 "1016241-1020520" 15
34 "1016241-1020520" 16
35 "1016241-1020520" 17
36 "1016241-1020519" 1
37 "1016241-1020519" 2
38 "1016241-1020519" 3
39 "1016241-1020519" 4
40 "1016241-1020519" 5
41 "1016241-1020519" 6
42 "1016241-1020519" 7
43 "1016241-1020519" 8
44 "1016241-1020519" 9
45 "1016241-1020519" 10
46 "1016241-1020519" 11
47 "1016241-1020519" 12
48 "1016241-1020519" 13
49 "1016241-1020519" 14
50 "1016241-1020519" 15
51 "1016241-1020519" 16
mixed_case_recommended_field WARNING 120

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 120 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.
"trips.txt" "trip_headsign" "ST-JUST-ST-RAMBERT/BONSON" 2
"trips.txt" "trip_headsign" "ST-JUST-ST-RAMBERT/BONSON" 3
"trips.txt" "trip_headsign" "ST-JUST-ST-RAMBERT/BONSON" 4
"trips.txt" "trip_headsign" "ST-JUST-ST-RAMBERT/BONSON" 5
"trips.txt" "trip_headsign" "ST-JUST-ST-RAMBERT/BONSON" 6
"trips.txt" "trip_headsign" "ST-JUST-ST-RAMBERT/BONSON" 7
"trips.txt" "trip_headsign" "ST-JUST-ST-RAMBERT/BONSON" 8
"trips.txt" "trip_headsign" "ST-JUST-ST-RAMBERT/BONSON" 9
"trips.txt" "trip_headsign" "BONSON/ST-JUST-ST-RAMBERT" 10
"trips.txt" "trip_headsign" "BONSON/ST-JUST-ST-RAMBERT" 11
"trips.txt" "trip_headsign" "BONSON/ST-JUST-ST-RAMBERT" 12
"trips.txt" "trip_headsign" "BONSON/ST-JUST-ST-RAMBERT" 13
"trips.txt" "trip_headsign" "BONSON/ST-JUST-ST-RAMBERT" 14
"trips.txt" "trip_headsign" "BONSON/ST-JUST-ST-RAMBERT" 15
"trips.txt" "trip_headsign" "BONSON/ST-JUST-ST-RAMBERT" 16
"trips.txt" "trip_headsign" "BONSON/ST-JUST-ST-RAMBERT" 17
"trips.txt" "trip_headsign" "BONSON/ST-JUST-ST-RAMBERT" 18
"trips.txt" "trip_headsign" "ST-JUST-ST-RAMBERT/BONSON" 19
"trips.txt" "trip_headsign" "ST-JUST-ST-RAMBERT/BONSON" 20
"trips.txt" "trip_headsign" "ST-JUST-ST-RAMBERT/BONSON" 21
"trips.txt" "trip_headsign" "ST-JUST-ST-RAMBERT/BONSON" 22
"trips.txt" "trip_headsign" "BONSON/ST-JUST-ST-RAMBERT" 23
"trips.txt" "trip_headsign" "BONSON/ST-JUST-ST-RAMBERT" 24
"trips.txt" "trip_headsign" "BONSON/ST-JUST-ST-RAMBERT" 25
"trips.txt" "trip_headsign" "BONSON/ST-JUST-ST-RAMBERT" 26
"trips.txt" "trip_headsign" "ST-JUST-ST-RAMBERT/BONSON" 27
"trips.txt" "trip_headsign" "ST-JUST-ST-RAMBERT/BONSON" 28
"trips.txt" "trip_headsign" "ST-JUST-ST-RAMBERT/BONSON" 29
"trips.txt" "trip_headsign" "ST-JUST-ST-RAMBERT/BONSON" 30
"trips.txt" "trip_headsign" "ST-JUST-ST-RAMBERT/BONSON" 31
"trips.txt" "trip_headsign" "ST-JUST-ST-RAMBERT/BONSON" 32
"trips.txt" "trip_headsign" "ST-JUST-ST-RAMBERT/BONSON" 33
"trips.txt" "trip_headsign" "ST-JUST-ST-RAMBERT/BONSON" 34
"trips.txt" "trip_headsign" "ST-JUST-ST-RAMBERT/BONSON" 35
"trips.txt" "trip_headsign" "BONSON/ST-JUST-ST-RAMBERT" 36
"trips.txt" "trip_headsign" "BONSON/ST-JUST-ST-RAMBERT" 37
"trips.txt" "trip_headsign" "BONSON/ST-JUST-ST-RAMBERT" 38
"trips.txt" "trip_headsign" "BONSON/ST-JUST-ST-RAMBERT" 39
"trips.txt" "trip_headsign" "BONSON/ST-JUST-ST-RAMBERT" 40
"trips.txt" "trip_headsign" "BONSON/ST-JUST-ST-RAMBERT" 41
"trips.txt" "trip_headsign" "BONSON/ST-JUST-ST-RAMBERT" 42
"trips.txt" "trip_headsign" "BONSON/ST-JUST-ST-RAMBERT" 43
"trips.txt" "trip_headsign" "BONSON/ST-JUST-ST-RAMBERT" 44
"trips.txt" "trip_headsign" "ST-JUST-ST-RAMBERT/BONSON" 45
"trips.txt" "trip_headsign" "ST-JUST-ST-RAMBERT/BONSON" 46
"trips.txt" "trip_headsign" "ST-JUST-ST-RAMBERT/BONSON" 47
"trips.txt" "trip_headsign" "ST-JUST-ST-RAMBERT/BONSON" 48
"trips.txt" "trip_headsign" "BONSON/ST-JUST-ST-RAMBERT" 49
"trips.txt" "trip_headsign" "BONSON/ST-JUST-ST-RAMBERT" 50
"trips.txt" "trip_headsign" "BONSON/ST-JUST-ST-RAMBERT" 51
route_long_name_contains_short_name WARNING 2

route_long_name_contains_short_name

Long name should not contain short name for a single route.

In routes.txt, route_long_name should not contain the value for route_short_name, because when both are provided, they are often combined by transit applications. Note that only one of the two fields is required. If there is no short name used for a route, use route_long_name only.

Good examples:

route_short_name/route_long_name Dataset
"N"/"Judah" Muni San Fransisco
"6"/"ML King Jr Blvd" Trimet Portland Streetcar
"55"/"Boulevard Saint Laurent" STM Montreal
"1"/"Rangiora/Cashmere" Metro Christchurch

Bad examples:

route_short_name/route_long_name
"604"/"604"
"14"/"Route 14"
"2"/"Route 2: Bellows Falls In-Town"

You can see more about this notice here.

routeId (?) The id of the faulty record. csvRowNumber (?) The row number of the faulty record. routeShortName (?) The faulty record's `route_short_name`. routeLongName (?) The faulty record's `route_long_name`.
"1002510" 2 "29" "29 St-Just-St-Rambert - Bonson"
"1002579" 3 "300" "300 Savigneux - Montbrison"
same_name_and_description_for_stop WARNING 3

same_name_and_description_for_stop

Same name and description for stop.

The GTFS spec defines stops.txt stop_description as:

Description of the location that provides useful, quality information. Do not simply duplicate the name of the location.

You can see more about this notice here.

csvRowNumber (?) The row number of the faulty record. stopId (?) The id of the faulty record. stopDesc (?) The faulty record's `stop_desc`.
19 "1071799" "Jardin Public"
32 "1076115" "Gapiand"
119 "1076116" "Gapiand"
unknown_file INFO 1

unknown_file

A file is unknown.

You can see more about this notice here.

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