GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2025-05-02T01:45:15+03:00,
for the dataset https://www.visimarsrutai.lt/gtfs/KretingosR.zip. No country code was provided.

Use this report alongside our documentation.

⚠ This feed contains GTFS Flex features. Please note that GTFS Flex validation support is still in development. You can manually review all the validation rules for Flex data here.

A new version of the Canonical GTFS Schedule validator is available! Please update to get the latest/best validation results.

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: 44
  • Shapes: 78
  • Stops: 285
  • Trips: 276

Specification Compliance report

4333 notices reported (0 errors, 4317 warnings, 16 infos)

Notice Code Severity Total
equal_shape_distance_diff_coordinates_distance_below_threshold WARNING 10

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.
"34101" 33352 3241.6 163 33351 3241.6 162 0.0623586881758763
"34067" 29416 49177.4 805 29415 49177.4 804 0.0623586881758763
"34096" 32556 3241.6 163 32555 3241.6 162 0.0623586881758763
"36319" 37915 31015.9 528 37914 31015.9 527 0.0623586881758763
"36317" 36711 38911.6 654 36710 38911.6 653 0.0623586881758763
"34086" 31812 3793.2 180 31811 3793.2 179 0.0623586881758763
"34086" 32358 17842.1 726 32357 17842.1 725 0.06236154185211733
"34084" 31063 3793.2 180 31062 3793.2 179 0.0623586881758763
"33950" 14913 42609.2 716 14912 42609.2 715 0.0623586881758763
"34079" 30648 10297.4 210 30647 10297.4 209 0.06236154185211733
equal_shape_distance_same_coordinates WARNING 21

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`.
"33971" 18040 26845.6 695 18039 26845.6 694
"34101" 33986 17790.7 797 33985 17790.7 796
"34096" 33179 17507.2 786 33178 17507.2 785
"34086" 32383 17891.4 751 32382 17891.4 750
"34084" 31622 17607.9 739 31621 17607.9 738
"36547" 40524 1634.6 36 40523 1634.6 35
"34077" 29808 14827.7 333 29807 14827.7 332
"37507" 41431 7063.2 314 41430 7063.2 313
"37508" 41459 561.5 18 41458 561.5 17
"37508" 41467 927.7 26 41466 927.7 25
"37508" 41487 1705.6 46 41486 1705.6 45
"37508" 41526 2450.8 85 41525 2450.8 84
"37508" 41580 3252.2 139 41579 3252.2 138
"37508" 41590 3700.9 149 41589 3700.9 148
"37508" 41606 4264.9 165 41605 4264.9 164
"37508" 41652 5097.7 211 41651 5097.7 210
"37508" 41662 5703.8 221 41661 5703.8 220
"37508" 41678 6238.5 237 41677 6238.5 236
"34079" 30673 10346.7 235 30672 10346.7 234
"14523" 973 8108.5 380 972 8108.5 379
"14524" 1409 9643.8 426 1408 9643.8 425
expired_calendar WARNING 1

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.
19 "48594"
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 4284

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 4284 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 "7558076" 1
3 "7558076" 3
4 "7558076" 4
5 "7558076" 5
6 "7558079" 1
7 "7558079" 2
8 "7558079" 3
9 "7558079" 4
10 "7558079" 5
11 "7558079" 6
12 "7558079" 7
13 "7558079" 8
14 "7558079" 9
15 "7558079" 10
16 "7558079" 11
17 "7558079" 12
18 "7558081" 1
19 "7558081" 2
20 "7558081" 3
21 "7558081" 4
22 "7558081" 5
23 "7558081" 6
24 "7558081" 7
25 "7558081" 8
26 "7558081" 9
27 "7558081" 10
28 "7558081" 11
29 "7558081" 12
30 "7558081" 13
31 "7558081" 14
32 "7558081" 15
33 "7558081" 16
34 "7558081" 17
35 "7558085" 1
36 "7558085" 2
37 "7558085" 3
38 "7558085" 4
39 "7558085" 5
40 "7558085" 6
41 "7558085" 7
42 "7558085" 8
43 "7558085" 9
44 "7558085" 10
45 "7558085" 11
46 "7558085" 12
47 "7558085" 13
48 "7558085" 14
49 "7558085" 15
50 "7558085" 16
51 "7558086" 1
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