GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2025-12-05T19:47:05Z,
for the dataset file:///shared/pasvalior.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. routes.txt
  4. shapes.txt
  5. stop_times.txt
  6. stops.txt
  7. trips.txt

Counts

  • Agencies: 1
  • Blocks: 0
  • Routes: 27
  • Shapes: 43
  • Stops: 226
  • Trips: 85

Specification Compliance report

5898 notices reported (4680 errors, 1202 warnings, 16 infos)

Notice Code Severity Total
forbidden_arrival_or_departure_time ERROR 1170

forbidden_arrival_or_departure_time

The arrival or departure times are provided alongside pickup or drop-off windows in stop_times.txt.

This violates GTFS specification, as both cannot coexist for a single stop time record.

You can see more about this notice here.

Only the first 50 of 1170 affected records are displayed below.

csvRowNumber (?) The row of the faulty record. arrivalTime (?) The arrival time of the faulty record. departureTime (?) The departure time of the faulty record. startPickupDropOffWindow (?) The start pickup drop off window of the faulty record. endPickupDropOffWindow (?) The end pickup drop off window of the faulty record.
2 "08:00:00" "08:00:00" "00:00:00" "00:00:00"
3 "08:02:00" "08:02:00" "00:00:00" "00:00:00"
4 "08:05:00" "08:05:00" "00:00:00" "00:00:00"
5 "08:07:00" "08:07:00" "00:00:00" "00:00:00"
6 "08:11:00" "08:11:00" "00:00:00" "00:00:00"
7 "08:15:00" "08:15:00" "00:00:00" "00:00:00"
8 "12:20:00" "12:20:00" "00:00:00" "00:00:00"
9 "12:22:00" "12:22:00" "00:00:00" "00:00:00"
10 "12:25:00" "12:25:00" "00:00:00" "00:00:00"
11 "12:27:00" "12:27:00" "00:00:00" "00:00:00"
12 "12:31:00" "12:31:00" "00:00:00" "00:00:00"
13 "12:35:00" "12:35:00" "00:00:00" "00:00:00"
14 "08:25:00" "08:25:00" "00:00:00" "00:00:00"
15 "08:29:00" "08:29:00" "00:00:00" "00:00:00"
16 "08:33:00" "08:33:00" "00:00:00" "00:00:00"
17 "08:35:00" "08:35:00" "00:00:00" "00:00:00"
18 "08:37:00" "08:37:00" "00:00:00" "00:00:00"
19 "08:40:00" "08:40:00" "00:00:00" "00:00:00"
20 "12:40:00" "12:40:00" "00:00:00" "00:00:00"
21 "12:44:00" "12:44:00" "00:00:00" "00:00:00"
22 "12:48:00" "12:48:00" "00:00:00" "00:00:00"
23 "12:50:00" "12:50:00" "00:00:00" "00:00:00"
24 "12:52:00" "12:52:00" "00:00:00" "00:00:00"
25 "12:55:00" "12:55:00" "00:00:00" "00:00:00"
26 "12:40:00" "12:40:00" "00:00:00" "00:00:00"
27 "12:42:00" "12:42:00" "00:00:00" "00:00:00"
28 "12:46:00" "12:46:00" "00:00:00" "00:00:00"
29 "12:47:00" "12:47:00" "00:00:00" "00:00:00"
30 "12:52:00" "12:52:00" "00:00:00" "00:00:00"
31 "12:56:00" "12:56:00" "00:00:00" "00:00:00"
32 "12:59:00" "12:59:00" "00:00:00" "00:00:00"
33 "13:01:00" "13:01:00" "00:00:00" "00:00:00"
34 "13:04:00" "13:04:00" "00:00:00" "00:00:00"
35 "13:08:00" "13:08:00" "00:00:00" "00:00:00"
36 "13:10:00" "13:10:00" "00:00:00" "00:00:00"
37 "13:12:00" "13:12:00" "00:00:00" "00:00:00"
38 "13:15:00" "13:15:00" "00:00:00" "00:00:00"
39 "13:17:00" "13:17:00" "00:00:00" "00:00:00"
40 "13:22:00" "13:22:00" "00:00:00" "00:00:00"
41 "13:27:00" "13:27:00" "00:00:00" "00:00:00"
42 "13:34:00" "13:34:00" "00:00:00" "00:00:00"
43 "13:48:00" "13:48:00" "00:00:00" "00:00:00"
44 "13:50:00" "13:50:00" "00:00:00" "00:00:00"
45 "13:53:00" "13:53:00" "00:00:00" "00:00:00"
46 "13:56:00" "13:56:00" "00:00:00" "00:00:00"
47 "13:58:00" "13:58:00" "00:00:00" "00:00:00"
48 "13:59:00" "13:59:00" "00:00:00" "00:00:00"
49 "14:03:00" "14:03:00" "00:00:00" "00:00:00"
50 "14:04:00" "14:04:00" "00:00:00" "00:00:00"
51 "14:07:00" "14:07:00" "00:00:00" "00:00:00"
forbidden_drop_off_type ERROR 1170

forbidden_drop_off_type

pickup_drop_off_window fields are forbidden when the drop_off_type is regularly scheduled (0).

You can see more about this notice here.

Only the first 50 of 1170 affected records are displayed below.

csvRowNumber (?) The row of the faulty record. startPickupDropOffWindow (?) The start pickup drop off window of the faulty record. endPickupDropOffWindow (?) The end pickup drop off window of the faulty record.
2 "00:00:00" "00:00:00"
3 "00:00:00" "00:00:00"
4 "00:00:00" "00:00:00"
5 "00:00:00" "00:00:00"
6 "00:00:00" "00:00:00"
7 "00:00:00" "00:00:00"
8 "00:00:00" "00:00:00"
9 "00:00:00" "00:00:00"
10 "00:00:00" "00:00:00"
11 "00:00:00" "00:00:00"
12 "00:00:00" "00:00:00"
13 "00:00:00" "00:00:00"
14 "00:00:00" "00:00:00"
15 "00:00:00" "00:00:00"
16 "00:00:00" "00:00:00"
17 "00:00:00" "00:00:00"
18 "00:00:00" "00:00:00"
19 "00:00:00" "00:00:00"
20 "00:00:00" "00:00:00"
21 "00:00:00" "00:00:00"
22 "00:00:00" "00:00:00"
23 "00:00:00" "00:00:00"
24 "00:00:00" "00:00:00"
25 "00:00:00" "00:00:00"
26 "00:00:00" "00:00:00"
27 "00:00:00" "00:00:00"
28 "00:00:00" "00:00:00"
29 "00:00:00" "00:00:00"
30 "00:00:00" "00:00:00"
31 "00:00:00" "00:00:00"
32 "00:00:00" "00:00:00"
33 "00:00:00" "00:00:00"
34 "00:00:00" "00:00:00"
35 "00:00:00" "00:00:00"
36 "00:00:00" "00:00:00"
37 "00:00:00" "00:00:00"
38 "00:00:00" "00:00:00"
39 "00:00:00" "00:00:00"
40 "00:00:00" "00:00:00"
41 "00:00:00" "00:00:00"
42 "00:00:00" "00:00:00"
43 "00:00:00" "00:00:00"
44 "00:00:00" "00:00:00"
45 "00:00:00" "00:00:00"
46 "00:00:00" "00:00:00"
47 "00:00:00" "00:00:00"
48 "00:00:00" "00:00:00"
49 "00:00:00" "00:00:00"
50 "00:00:00" "00:00:00"
51 "00:00:00" "00:00:00"
forbidden_pickup_type ERROR 1170

forbidden_pickup_type

pickup_drop_off_window fields are forbidden when the pickup_type is regularly scheduled (0) or must be coordinated with the driver (3).

You can see more about this notice here.

Only the first 50 of 1170 affected records are displayed below.

csvRowNumber (?) The row of the faulty record. startPickupDropOffWindow (?) The start pickup drop off window of the faulty record. endPickupDropOffWindow (?) The end pickup drop off window of the faulty record.
2 "00:00:00" "00:00:00"
3 "00:00:00" "00:00:00"
4 "00:00:00" "00:00:00"
5 "00:00:00" "00:00:00"
6 "00:00:00" "00:00:00"
7 "00:00:00" "00:00:00"
8 "00:00:00" "00:00:00"
9 "00:00:00" "00:00:00"
10 "00:00:00" "00:00:00"
11 "00:00:00" "00:00:00"
12 "00:00:00" "00:00:00"
13 "00:00:00" "00:00:00"
14 "00:00:00" "00:00:00"
15 "00:00:00" "00:00:00"
16 "00:00:00" "00:00:00"
17 "00:00:00" "00:00:00"
18 "00:00:00" "00:00:00"
19 "00:00:00" "00:00:00"
20 "00:00:00" "00:00:00"
21 "00:00:00" "00:00:00"
22 "00:00:00" "00:00:00"
23 "00:00:00" "00:00:00"
24 "00:00:00" "00:00:00"
25 "00:00:00" "00:00:00"
26 "00:00:00" "00:00:00"
27 "00:00:00" "00:00:00"
28 "00:00:00" "00:00:00"
29 "00:00:00" "00:00:00"
30 "00:00:00" "00:00:00"
31 "00:00:00" "00:00:00"
32 "00:00:00" "00:00:00"
33 "00:00:00" "00:00:00"
34 "00:00:00" "00:00:00"
35 "00:00:00" "00:00:00"
36 "00:00:00" "00:00:00"
37 "00:00:00" "00:00:00"
38 "00:00:00" "00:00:00"
39 "00:00:00" "00:00:00"
40 "00:00:00" "00:00:00"
41 "00:00:00" "00:00:00"
42 "00:00:00" "00:00:00"
43 "00:00:00" "00:00:00"
44 "00:00:00" "00:00:00"
45 "00:00:00" "00:00:00"
46 "00:00:00" "00:00:00"
47 "00:00:00" "00:00:00"
48 "00:00:00" "00:00:00"
49 "00:00:00" "00:00:00"
50 "00:00:00" "00:00:00"
51 "00:00:00" "00:00:00"
invalid_pickup_drop_off_window ERROR 1170

invalid_pickup_drop_off_window

The pickup/drop-off window in stop_times.txt is invalid.

The end_pickup_drop_off_window must be strictly later than the start_pickup_drop_off_window.

You can see more about this notice here.

Only the first 50 of 1170 affected records are displayed below.

csvRowNumber (?) The row of the faulty record. startPickupDropOffWindow (?) The start pickup drop off window of the faulty record. endPickupDropOffWindow (?) The end pickup drop off window of the faulty record.
2 "00:00:00" "00:00:00"
3 "00:00:00" "00:00:00"
4 "00:00:00" "00:00:00"
5 "00:00:00" "00:00:00"
6 "00:00:00" "00:00:00"
7 "00:00:00" "00:00:00"
8 "00:00:00" "00:00:00"
9 "00:00:00" "00:00:00"
10 "00:00:00" "00:00:00"
11 "00:00:00" "00:00:00"
12 "00:00:00" "00:00:00"
13 "00:00:00" "00:00:00"
14 "00:00:00" "00:00:00"
15 "00:00:00" "00:00:00"
16 "00:00:00" "00:00:00"
17 "00:00:00" "00:00:00"
18 "00:00:00" "00:00:00"
19 "00:00:00" "00:00:00"
20 "00:00:00" "00:00:00"
21 "00:00:00" "00:00:00"
22 "00:00:00" "00:00:00"
23 "00:00:00" "00:00:00"
24 "00:00:00" "00:00:00"
25 "00:00:00" "00:00:00"
26 "00:00:00" "00:00:00"
27 "00:00:00" "00:00:00"
28 "00:00:00" "00:00:00"
29 "00:00:00" "00:00:00"
30 "00:00:00" "00:00:00"
31 "00:00:00" "00:00:00"
32 "00:00:00" "00:00:00"
33 "00:00:00" "00:00:00"
34 "00:00:00" "00:00:00"
35 "00:00:00" "00:00:00"
36 "00:00:00" "00:00:00"
37 "00:00:00" "00:00:00"
38 "00:00:00" "00:00:00"
39 "00:00:00" "00:00:00"
40 "00:00:00" "00:00:00"
41 "00:00:00" "00:00:00"
42 "00:00:00" "00:00:00"
43 "00:00:00" "00:00:00"
44 "00:00:00" "00:00:00"
45 "00:00:00" "00:00:00"
46 "00:00:00" "00:00:00"
47 "00:00:00" "00:00:00"
48 "00:00:00" "00:00:00"
49 "00:00:00" "00:00:00"
50 "00:00:00" "00:00:00"
51 "00:00:00" "00:00:00"
equal_shape_distance_diff_coordinates_distance_below_threshold WARNING 1

equal_shape_distance_diff_coordinates_distance_below_threshold

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 0 but less than 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 small difference of coordinates (greater than 0 but less than 1.11 m distance) result in a warning.

You can see more about this notice here.

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.
"35667" 10469 5114.4 147 10468 5114.4 146 0.12737703146093737
equal_shape_distance_same_coordinates WARNING 12

equal_shape_distance_same_coordinates

Two consecutive points have equal shape_dist_traveled and the same lat/lon coordinates in shapes.txt.

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 the same coordinates indicate a duplicative shape point.

You can see more about this notice here.

shapeId (?) The id of the faulty shape. csvRowNumber (?) The row number from `shapes.txt`. shapeDistTraveled (?) Actual distance traveled along the shape from the first shape point to the faulty record. shapePtSequence (?) The faulty record's `shapes.shape_pt_sequence`. prevCsvRowNumber (?) The row number from `shapes.txt` of the previous shape point. prevShapeDistTraveled (?) Actual distance traveled along the shape from the first shape point to the previous shape point. prevShapePtSequence (?) The previous record's `shapes.shape_pt_sequence`.
"35713" 25367 13337.8 54 25366 13337.8 53
"35713" 25373 14817.1 60 25372 14817.1 59
"35713" 25380 16327.2 67 25379 16327.2 66
"35713" 25389 18234.6 76 25388 18234.6 75
"35713" 25396 19744.8 83 25395 19744.8 82
"35713" 25402 21224.0 89 25401 21224.0 88
"35713" 25407 21996.4 94 25406 21996.4 93
"35713" 25424 24638.1 111 25423 24638.1 110
"35714" 25511 7316.5 54 25510 7316.5 53
"35714" 25518 8826.6 61 25517 8826.6 60
"35714" 25527 10734.1 70 25526 10734.1 69
"35714" 25534 12244.2 77 25533 12244.2 76
expired_calendar WARNING 15

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 "48622"
3 "48619"
4 "48616"
5 "48612"
6 "48615"
7 "48608"
8 "48617"
9 "48621"
10 "48611"
11 "48618"
12 "48614"
13 "48620"
14 "48609"
15 "48610"
16 "48613"
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 1170

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 1170 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 "7598353" 1
3 "7598353" 2
4 "7598353" 3
5 "7598353" 4
6 "7598353" 5
7 "7598353" 6
8 "7598354" 1
9 "7598354" 2
10 "7598354" 3
11 "7598354" 4
12 "7598354" 5
13 "7598354" 6
14 "7598355" 1
15 "7598355" 2
16 "7598355" 3
17 "7598355" 4
18 "7598355" 5
19 "7598355" 6
20 "7598356" 1
21 "7598356" 2
22 "7598356" 3
23 "7598356" 4
24 "7598356" 5
25 "7598356" 6
26 "7598361" 1
27 "7598361" 2
28 "7598361" 3
29 "7598361" 4
30 "7598361" 5
31 "7598361" 6
32 "7598361" 7
33 "7598361" 8
34 "7598361" 9
35 "7598361" 10
36 "7598361" 11
37 "7598361" 12
38 "7598361" 13
39 "7598361" 14
40 "7598361" 15
41 "7598361" 16
42 "7598361" 17
43 "7598361" 18
44 "7598361" 19
45 "7598361" 20
46 "7598361" 21
47 "7598361" 22
48 "7598361" 23
49 "7598361" 24
50 "7598361" 25
51 "7598361" 26
mixed_case_recommended_field WARNING 2

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.
"routes.txt" "route_long_name" "PASVALYS-ŽILPAMŪŠIS PER TETIRVINUS" 23
"stops.txt" "stop_name" "dirbtuvės už kriklinių" 193
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.
"20251205" "20250702" "20250829"
unknown_column INFO 16

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.
"routes.txt" "eligibility_restricted" 10
"routes.txt" "bikes_allowed" 11
"routes.txt" "regional_fare_card" 12
"stops.txt" "vehicle_type" 13
"stops.txt" "mta_stop_id" 16
"stops.txt" "regional_fare_card" 17
"stop_times.txt" "note_id" 3
"trips.txt" "note_id" 2
"trips.txt" "mean_duration_factor" 12
"trips.txt" "mean_duration_offset" 13
"trips.txt" "safe_duration_factor" 14
"trips.txt" "safe_duration_offset" 15
"trips.txt" "cars_allowed" 16
"trips.txt" "peak_offpeak" 17
"trips.txt" "mta_trip_id" 18
"trips.txt" "boarding_type" 19