GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-02-13T12:42:33Z,
for the dataset file:///shared/ignalinosr_fb956807.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

Counts

  • Agencies: 1
  • Blocks: 0
  • Routes: 5
  • Shapes: 9
  • Stops: 74
  • Trips: 9

Specification Compliance report

669 notices reported (516 errors, 137 warnings, 16 infos)

Notice Code Severity Total
forbidden_arrival_or_departure_time ERROR 129

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 129 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 "15:30:00" "15:30:00" "00:00:00" "00:00:00"
3 "15:32:00" "15:32:00" "00:00:00" "00:00:00"
4 "15:35:00" "15:35:00" "00:00:00" "00:00:00"
5 "15:40:00" "15:40:00" "00:00:00" "00:00:00"
6 "15:42:00" "15:42:00" "00:00:00" "00:00:00"
7 "15:44:00" "15:44:00" "00:00:00" "00:00:00"
8 "15:46:00" "15:46:00" "00:00:00" "00:00:00"
9 "15:51:00" "16:01:00" "00:00:00" "00:00:00"
10 "06:00:00" "06:00:00" "00:00:00" "00:00:00"
11 "06:46:00" "06:46:00" "00:00:00" "00:00:00"
12 "06:50:00" "06:50:00" "00:00:00" "00:00:00"
13 "07:00:00" "07:00:00" "00:00:00" "00:00:00"
14 "07:00:00" "07:00:00" "00:00:00" "00:00:00"
15 "07:13:00" "07:20:00" "00:00:00" "00:00:00"
16 "07:22:00" "07:22:00" "00:00:00" "00:00:00"
17 "07:24:00" "07:24:00" "00:00:00" "00:00:00"
18 "07:27:00" "07:27:00" "00:00:00" "00:00:00"
19 "07:28:00" "07:28:00" "00:00:00" "00:00:00"
20 "07:32:00" "07:32:00" "00:00:00" "00:00:00"
21 "07:34:00" "07:34:00" "00:00:00" "00:00:00"
22 "07:40:00" "07:40:00" "00:00:00" "00:00:00"
23 "07:42:00" "07:42:00" "00:00:00" "00:00:00"
24 "07:46:00" "07:46:00" "00:00:00" "00:00:00"
25 "07:50:00" "07:50:00" "00:00:00" "00:00:00"
26 "08:00:00" "08:00:00" "00:00:00" "00:00:00"
27 "05:10:00" "05:10:00" "00:00:00" "00:00:00"
28 "05:50:00" "05:50:00" "00:00:00" "00:00:00"
29 "05:55:00" "05:55:00" "00:00:00" "00:00:00"
30 "05:59:00" "05:59:00" "00:00:00" "00:00:00"
31 "06:05:00" "06:05:00" "00:00:00" "00:00:00"
32 "06:05:00" "06:05:00" "00:00:00" "00:00:00"
33 "06:06:00" "06:06:00" "00:00:00" "00:00:00"
34 "06:10:00" "06:10:00" "00:00:00" "00:00:00"
35 "06:13:00" "06:13:00" "00:00:00" "00:00:00"
36 "06:16:00" "06:16:00" "00:00:00" "00:00:00"
37 "06:23:00" "06:23:00" "00:00:00" "00:00:00"
38 "06:28:00" "06:28:00" "00:00:00" "00:00:00"
39 "06:32:00" "06:32:00" "00:00:00" "00:00:00"
40 "06:38:00" "06:38:00" "00:00:00" "00:00:00"
41 "06:41:00" "06:41:00" "00:00:00" "00:00:00"
42 "06:45:00" "06:45:00" "00:00:00" "00:00:00"
43 "06:48:00" "06:48:00" "00:00:00" "00:00:00"
44 "06:50:00" "06:50:00" "00:00:00" "00:00:00"
45 "06:55:00" "06:55:00" "00:00:00" "00:00:00"
46 "07:01:00" "07:01:00" "00:00:00" "00:00:00"
47 "07:05:00" "07:05:00" "00:00:00" "00:00:00"
48 "07:08:00" "07:08:00" "00:00:00" "00:00:00"
49 "07:12:00" "07:12:00" "00:00:00" "00:00:00"
50 "07:14:00" "07:14:00" "00:00:00" "00:00:00"
51 "07:18:00" "07:18:00" "00:00:00" "00:00:00"
forbidden_drop_off_type ERROR 129

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 129 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 129

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 129 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 129

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 129 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.
"3116" 1654 24215.5 136 1653 24215.5 135 0.06303814001271353
expired_calendar WARNING 4

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 "1461"
3 "1256"
5 "973"
7 "678"
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 129

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 129 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 "43694" 1
3 "43694" 2
4 "43694" 3
5 "43694" 4
6 "43694" 5
7 "43694" 6
8 "43694" 7
9 "43694" 8
10 "45853" 1
11 "45853" 2
12 "45853" 3
13 "45853" 4
14 "45859" 1
15 "45859" 9
16 "45859" 10
17 "45859" 11
18 "45859" 12
19 "45859" 13
20 "45859" 14
21 "45859" 15
22 "45859" 16
23 "45859" 17
24 "45859" 18
25 "45859" 19
26 "45859" 20
27 "46702" 1
28 "46702" 2
29 "46702" 3
30 "46702" 4
31 "46702" 5
32 "46704" 1
33 "46704" 2
34 "46704" 3
35 "46704" 4
36 "46704" 5
37 "46704" 6
38 "46704" 7
39 "46704" 8
40 "46704" 9
41 "46704" 10
42 "46704" 11
43 "46704" 12
44 "46704" 13
45 "46704" 14
46 "46704" 15
47 "46704" 16
48 "46704" 17
49 "46704" 18
50 "46704" 19
51 "46704" 20
stop_too_far_from_shape WARNING 1

stop_too_far_from_shape

Stop too far from trip shape.

Per GTFS Best Practices, route alignments (in shapes.txt) should be within 100 meters of stop locations which a trip serves. This potentially indicates a problem with the location of the stop or the path of the shape.

You can see more about this notice here.

tripCsvRowNumber (?) The row number of the faulty record from `trips.txt`. shapeId (?) The id of the shape that is referred to. tripId (?) The id of the trip that is referred to. stopTimeCsvRowNumber (?) The row number of the faulty record from `stop_times.txt`. stopId (?) The id of the stop that is referred to. stopName (?) The name of the stop that is referred to. match (?) Latitude and longitude pair of the location. geoDistanceToShape (?) Distance from stop to shape.
4 "3014" "43694" 2 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
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.
"20260213" "20150812" "20250529"
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