GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 5.0.1 at 2024-06-08T16:24:56Z,
for the dataset file:///tmp/1_in.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 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_extensions.txt

Counts

  • Agencies: 1
  • Blocks: 0
  • Routes: 73
  • Shapes: 469
  • Stops: 850
  • Trips: 0

Specification Compliance report

2858 notices reported (63 errors, 2794 warnings, 1 infos)

Notice Code Severity Total
equal_shape_distance_diff_coordinates ERROR 57

equal_shape_distance_diff_coordinates

Two consecutive points have equal shape_dist_traveled and different lat/lon coordinates in shapes.txt and the distance between the two points is greater than the 1.11m.

When sorted by shape.shape_pt_sequence, the values for shape_dist_traveled must increase along a shape. Two consecutive points with equal values for shape_dist_traveled and different coordinates indicate an error.

You can see more about this notice here.

Only the first 50 of 57 affected records are displayed below.

shapeId (?) The id of the faulty shape. csvRowNumber (?) The row number from `shapes.txt`. shapeDistTraveled (?) The faulty record's `shape_dist_traveled` value. shapePtSequence (?) The faulty record's `shapes.shape_pt_sequence`. prevCsvRowNumber (?) The row number from `shapes.txt` of the previous shape point. prevShapeDistTraveled (?) The previous shape point's `shape_dist_traveled` value. prevShapePtSequence (?) The previous record's `shapes.shape_pt_sequence`. actualDistanceBetweenShapePoints (?) Actual distance traveled along the shape from the first shape point to the previous shape point.
"af3619a58481270ae532a843640659c6" 34 0.0 2 33 0.0 1 5024.100236471829
"af3619a58481270ae532a843640659c6" 35 0.0 3 34 0.0 2 289.3332352153818
"af3619a58481270ae532a843640659c6" 36 0.0 4 35 0.0 3 1116.153621441062
"af3619a58481270ae532a843640659c6" 37 0.0 5 36 0.0 4 1294.678618404866
"af3619a58481270ae532a843640659c6" 38 0.0 6 37 0.0 5 1490.3070503108586
"af3619a58481270ae532a843640659c6" 39 0.0 7 38 0.0 6 985.9274844953785
"af3619a58481270ae532a843640659c6" 40 0.0 8 39 0.0 7 862.8875129852302
"af3619a58481270ae532a843640659c6" 41 0.0 9 40 0.0 8 1320.1899922018376
"b31736025781db9c9b801bc7889e8335" 43 0.0 2 42 0.0 1 2118.5218126195537
"b31736025781db9c9b801bc7889e8335" 44 0.0 3 43 0.0 2 349.75908994270804
"b31736025781db9c9b801bc7889e8335" 45 0.0 4 44 0.0 3 528.771710940294
"b31736025781db9c9b801bc7889e8335" 46 0.0 5 45 0.0 4 661.7693430297531
"b31736025781db9c9b801bc7889e8335" 47 0.0 6 46 0.0 5 585.431981316593
"b31736025781db9c9b801bc7889e8335" 48 0.0 7 47 0.0 6 356.7797007149473
"b31736025781db9c9b801bc7889e8335" 49 0.0 8 48 0.0 7 685.3679553018989
"9756055bdf066e2052b9456851f1bfb3" 26 0.0 2 25 0.0 1 5024.100236471829
"9756055bdf066e2052b9456851f1bfb3" 27 0.0 3 26 0.0 2 289.3332352153818
"9756055bdf066e2052b9456851f1bfb3" 28 0.0 4 27 0.0 3 1116.153621441062
"9756055bdf066e2052b9456851f1bfb3" 29 0.0 5 28 0.0 4 1294.678618404866
"9756055bdf066e2052b9456851f1bfb3" 30 0.0 6 29 0.0 5 1490.3070503108586
"9756055bdf066e2052b9456851f1bfb3" 31 0.0 7 30 0.0 6 985.9274844953785
"9756055bdf066e2052b9456851f1bfb3" 32 0.0 8 31 0.0 7 862.8875129852302
"613c70d770de68a61fe5d062569ee02c" 3 0.0 2 2 0.0 1 685.3679553018989
"613c70d770de68a61fe5d062569ee02c" 4 0.0 3 3 0.0 2 356.7797007149473
"613c70d770de68a61fe5d062569ee02c" 5 0.0 4 4 0.0 3 585.431981316593
"613c70d770de68a61fe5d062569ee02c" 6 0.0 5 5 0.0 4 661.7693430297531
"613c70d770de68a61fe5d062569ee02c" 7 0.0 6 6 0.0 5 528.771710940294
"613c70d770de68a61fe5d062569ee02c" 8 0.0 7 7 0.0 6 349.75908994270804
"613c70d770de68a61fe5d062569ee02c" 9 0.0 8 8 0.0 7 2118.5218126195537
"d6ea1ad515b0b890d4b9d5d38a543390" 51 0.0 2 50 0.0 1 263.41934106793946
"d6ea1ad515b0b890d4b9d5d38a543390" 52 0.0 3 51 0.0 2 559.591805848771
"d6ea1ad515b0b890d4b9d5d38a543390" 53 0.0 4 52 0.0 3 2272.9670909078195
"d6ea1ad515b0b890d4b9d5d38a543390" 54 0.0 5 53 0.0 4 2546.035207267237
"d6ea1ad515b0b890d4b9d5d38a543390" 55 0.0 6 54 0.0 5 991.2699155388885
"d6ea1ad515b0b890d4b9d5d38a543390" 56 0.0 7 55 0.0 6 301.69162821578817
"d6ea1ad515b0b890d4b9d5d38a543390" 57 0.0 8 56 0.0 7 245.22552840241593
"d6ea1ad515b0b890d4b9d5d38a543390" 58 0.0 9 57 0.0 8 443.3570184004346
"d6ea1ad515b0b890d4b9d5d38a543390" 59 0.0 10 58 0.0 9 834.8197751109874
"d6ea1ad515b0b890d4b9d5d38a543390" 60 0.0 11 59 0.0 10 255.1151910032844
"d6ea1ad515b0b890d4b9d5d38a543390" 61 0.0 12 60 0.0 11 1271.7431235695865
"d6ea1ad515b0b890d4b9d5d38a543390" 62 0.0 13 61 0.0 12 732.5355542700685
"d6ea1ad515b0b890d4b9d5d38a543390" 63 0.0 14 62 0.0 13 300.5286076307699
"d6ea1ad515b0b890d4b9d5d38a543390" 64 0.0 15 63 0.0 14 757.8507112305871
"7ff4a4087db2fd767b8ed82cf58d90ec" 11 0.0 2 10 0.0 1 386.17102524686334
"7ff4a4087db2fd767b8ed82cf58d90ec" 12 0.0 3 11 0.0 2 702.407232408224
"7ff4a4087db2fd767b8ed82cf58d90ec" 13 0.0 4 12 0.0 3 1749.8084696977437
"7ff4a4087db2fd767b8ed82cf58d90ec" 14 0.0 5 13 0.0 4 544.436820293415
"7ff4a4087db2fd767b8ed82cf58d90ec" 15 0.0 6 14 0.0 5 4296.399723258765
"7ff4a4087db2fd767b8ed82cf58d90ec" 16 0.0 7 15 0.0 6 2773.0918856151
"7ff4a4087db2fd767b8ed82cf58d90ec" 17 0.0 8 16 0.0 7 1300.926839313699
missing_required_field ERROR 5

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.
"trips.txt" 212 "service_id"
"trips.txt" 213 "service_id"
"trips.txt" 214 "service_id"
"trips.txt" 215 "service_id"
"trips.txt" 216 "service_id"
stop_time_with_arrival_before_previous_departure_time ERROR 1

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.
2402 2401 "5f50c9e7-ec6c-492e-b231-4a970a0b002a" "12:34:00" "12:59:33"
expired_calendar WARNING 5

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.
4 "C"
6 "V"
5 "LMJ"
2 "LMCJV"
3 "LMJV"
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 2525

missing_timepoint_value

stop_times.timepoint value is missing for a record.

Even though the column timepoint is optional in stop_times.txt according to the specification, stop_times.timepoint should not be empty when provided.

You can see more about this notice here.

Only the first 50 of 2525 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 "TRP-A-1001" 1
3 "TRP-A-1001" 2
4 "TRP-A-1001" 3
5 "TRP-A-1001" 4
6 "TRP-A-1001" 5
7 "TRP-A-1001" 6
8 "TRP-A-1001" 7
9 "TRP-A-1001" 8
10 "TRP-A-1001" 9
11 "TRP-R-1002" 1
12 "TRP-R-1002" 2
13 "TRP-R-1002" 3
14 "TRP-R-1002" 4
15 "TRP-R-1002" 5
16 "TRP-R-1002" 6
17 "TRP-R-1002" 7
18 "TRP-R-1002" 8
19 "TRP-R-1002" 9
20 "TRP-R-1003" 1
21 "TRP-R-1003" 2
22 "TRP-R-1003" 3
23 "TRP-R-1003" 4
24 "TRP-R-1003" 5
25 "TRP-R-1003" 6
26 "TRP-R-1003" 7
27 "TRP-R-1003" 8
28 "TRP-R-1003" 9
29 "TRP-R-1012" 1
30 "TRP-R-1012" 2
31 "TRP-R-1012" 3
32 "TRP-R-1012" 4
33 "TRP-R-1012" 5
34 "TRP-R-1012" 6
35 "TRP-R-1012" 7
36 "TRP-R-1012" 8
37 "TRP-R-1012" 9
38 "TRP-R-1012" 10
39 "TRP-R-1012" 11
40 "TRP-R-1012" 12
41 "TRP-R-1013" 1
42 "TRP-R-1013" 2
43 "TRP-R-1013" 3
44 "TRP-R-1013" 4
45 "TRP-R-1013" 5
46 "TRP-R-1013" 6
47 "TRP-R-1013" 7
48 "TRP-R-1013" 8
49 "TRP-R-1013" 9
50 "TRP-R-1013" 10
51 "TRP-R-1013" 11
mixed_case_recommended_field WARNING 259

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 259 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.
"stops.txt" "stop_name" "15 RUE LOUIS BARTHOU" 2
"stops.txt" "stop_name" "43 AVENUE DE BUROS" 3
"stops.txt" "stop_name" "79 AVENUE DE BUROS" 4
"stops.txt" "stop_name" "08-mai-45" 5
"stops.txt" "stop_name" "ANCIENNE ECOLE" 6
"stops.txt" "stop_name" "ALBERT 1ER" 8
"stops.txt" "stop_name" "ALSACE LORRAINE" 9
"stops.txt" "stop_name" "ARBUS CHATEAU D EAU" 10
"stops.txt" "stop_name" "ARBUS CLOS BEDAT" 11
"stops.txt" "stop_name" "ARBUS ECOLE" 12
"stops.txt" "stop_name" "ARBUS LARRIBOT" 13
"stops.txt" "stop_name" "ARBUS SAINT SORQUE" 14
"stops.txt" "stop_name" "ARESSY CLINIQUE" 15
"stops.txt" "stop_name" "ARTIGUELOUVE LANSOLLES" 19
"stops.txt" "stop_name" "ARTIGUELOUTAN STADE" 20
"stops.txt" "stop_name" "ARTIGUELOUVE CHEMIN DU PIQUEUR" 21
"stops.txt" "stop_name" "ARTIGUELOUVE GARE" 22
"stops.txt" "stop_name" "ARTIGUELOUVE LA CROIX" 23
"stops.txt" "stop_name" "ARTIGUELOUVE LE GOLF" 24
"stops.txt" "stop_name" "ARTIGUELOUVE LES BARTHES" 25
"stops.txt" "stop_name" "ARTIGUELOUVE SALABERTHE" 26
"stops.txt" "stop_name" "ARTIGUELOUVE PALETOU" 30
"stops.txt" "stop_name" "AUBERTIN ECOLE" 31
"stops.txt" "stop_name" "AUSSEVIELLE CHEMIN DE LA SERRE" 34
"stops.txt" "stop_name" "AUSSEVIELLE CLOS DE BEARN" 35
"stops.txt" "stop_name" "AUSSEVIELLE COTE DE LABOURDETTE" 36
"stops.txt" "stop_name" "AUSSEVIELLE ECOLE MATERNELLE" 37
"stops.txt" "stop_name" "AUSSEVIELLE L OUSSE" 38
"stops.txt" "stop_name" "AVENUE DES PYRENEES" 39
"stops.txt" "stop_name" "HAUT DE CAPDEROU" 46
"stops.txt" "stop_name" "BEAU FRENE CLAIR SOLEIL" 49
"stops.txt" "stop_name" "BEAU SOLEIL" 50
"stops.txt" "stop_name" "BEL AIR" 52
"stops.txt" "stop_name" "BELLE OASIS" 53
"stops.txt" "stop_name" "BERLANNE LES PINS" 57
"stops.txt" "stop_name" "BERLANNE RUE DES BERGERS" 58
"stops.txt" "stop_name" "BEYRIE EN BEARN MAIRIE" 62
"stops.txt" "stop_name" "BEYRIE EN BEARN TAPIE" 63
"stops.txt" "stop_name" "BILLERE MAIRIE" 69
"stops.txt" "stop_name" "BILLERE PLAINE" 70
"stops.txt" "stop_name" "STADE HUGOT" 71
"stops.txt" "stop_name" "BOCAGE L'ARRIBERE" 76
"stops.txt" "stop_name" "BON ACCUEIL" 78
"stops.txt" "stop_name" "BOSDARROS BOURG" 79
"stops.txt" "stop_name" "BOSDARROS CAMINO" 80
"stops.txt" "stop_name" "BOSDARROS LES 4 CHEMINS" 81
"stops.txt" "stop_name" "BOSDARROS LOT DES PYRENEES" 82
"stops.txt" "stop_name" "BOSDARROS NARBOUT" 83
"stops.txt" "stop_name" "BOSQUET QUAI C" 84
"stops.txt" "stop_name" "BOSQUET QUAI D" 85
stop_without_stop_time WARNING 4

stop_without_stop_time

A stop in stops.txt is not referenced by any stop_times.stop_id.

Such stops are not used by any trip and normally do not provide user value. This notice may indicate a typo in stop_times.txt.

You can see more about this notice here.

csvRowNumber (?) The row number of the faulty record. stopId (?) The id of the faulty stop. stopName (?) The name of the faulty stop.
500 "STP-BLEUETS" "Bleuets"
520 "STP-BRASS" "Brassens"
595 "STP-CROIX-DU-PRINCE" "Croix du Prince"
829 "STP-SURSUL-2" "Ste Ursule"
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_extensions.txt"