GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2026-02-08T01:45:13+02:00,
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. fare_attributes.txt
  5. fare_rules.txt
  6. routes.txt
  7. shapes.txt
  8. stop_times.txt
  9. stops.txt
  10. trips.txt

Counts

  • Agencies: 1
  • Blocks: 0
  • Routes: 53
  • Shapes: 89
  • Stops: 271
  • Trips: 265

Specification Compliance report

3896 notices reported (0 errors, 3864 warnings, 32 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" 18409 3241.6 163 18408 3241.6 162 0.0623586881758763
"34067" 15016 49177.4 805 15015 49177.4 804 0.0623586881758763
"34096" 17613 3241.6 163 17612 3241.6 162 0.0623586881758763
"36319" 22260 31015.9 528 22259 31015.9 527 0.0623586881758763
"36317" 21056 38911.6 654 21055 38911.6 653 0.0623586881758763
"34086" 16869 3793.2 180 16868 3793.2 179 0.0623586881758763
"34086" 17415 17842.1 726 17414 17842.1 725 0.06236154185211733
"34084" 16120 3793.2 180 16119 3793.2 179 0.0623586881758763
"47474" 44723 22362.6 555 44722 22362.6 554 0.0623586881758763
"34079" 15705 10297.4 210 15704 10297.4 209 0.06236154185211733
equal_shape_distance_same_coordinates WARNING 510

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.

Only the first 50 of 510 affected records are displayed below.

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`.
"47458" 40862 1736.5 20 40861 1736.5 19
"47458" 40887 3932.3 45 40886 3932.3 44
"47458" 40944 6594.1 102 40943 6594.1 101
"47458" 41005 8325.0 163 41004 8325.0 162
"47458" 41120 11030.5 278 41119 11030.5 277
"47458" 41222 13116.8 380 41221 13116.8 379
"47458" 41366 15572.9 524 41365 15572.9 523
"47458" 41426 16542.2 584 41425 16542.2 583
"47458" 41514 19907.5 672 41513 19907.5 671
"47458" 41545 21780.5 703 41544 21780.5 702
"47458" 41554 22737.2 712 41553 22737.2 711
"47458" 41570 24320.6 728 41569 24320.6 727
"47458" 41586 26589.0 744 41585 26589.0 743
"47458" 41596 28427.3 754 41595 28427.3 753
"47458" 41611 30123.3 769 41610 30123.3 768
"47458" 41634 32777.6 792 41633 32777.6 791
"47458" 41641 33226.6 799 41640 33226.6 798
"47458" 41696 34311.2 854 41695 34311.2 853
"47458" 41705 34760.4 863 41704 34760.4 862
"41235" 26909 144.7 9 26908 144.7 8
"41235" 26931 1229.5 31 26930 1229.5 30
"41235" 26948 1769.7 48 26947 1769.7 47
"41235" 26996 2925.4 96 26995 2925.4 95
"41235" 27006 3374.1 106 27005 3374.1 105
"41235" 27035 4099.1 135 27034 4099.1 134
"41235" 27067 4969.4 167 27066 4969.4 166
"41235" 27077 5575.5 177 27076 5575.5 176
"41235" 27093 6110.2 193 27092 6110.2 192
"41235" 27106 6612.1 206 27105 6612.1 205
"41235" 27203 9214.8 303 27202 9214.8 302
"41235" 27238 10496.6 338 27237 10496.6 337
"41235" 27327 12857.4 427 27326 12857.4 426
"41235" 27364 14404.3 464 27363 14404.3 463
"41235" 27387 15954.9 487 27386 15954.9 486
"41235" 27464 17558.2 564 27463 17558.2 563
"47456" 39538 2674.5 75 39537 2674.5 74
"47456" 39577 3385.2 114 39576 3385.2 113
"47456" 39674 5083.9 211 39673 5083.9 210
"47456" 39682 5596.3 219 39681 5596.3 218
"47456" 39705 8243.5 242 39704 8243.5 241
"47456" 39719 10037.1 256 39718 10037.1 255
"47456" 39728 11717.8 265 39727 11717.8 264
"47456" 39744 14027.1 281 39743 14027.1 280
"47456" 39755 15101.8 292 39754 15101.8 291
"47456" 39769 16311.0 306 39768 16311.0 305
"47456" 39800 18349.3 337 39799 18349.3 336
"47456" 39830 20262.7 367 39829 20262.7 366
"47456" 39845 22745.5 382 39844 22745.5 381
"47456" 39871 26227.2 408 39870 26227.2 407
"47456" 39893 28307.1 430 39892 28307.1 429
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 3334

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 3334 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 "7558135" 1
19 "7558135" 2
20 "7558135" 3
21 "7558135" 4
22 "7558135" 5
23 "7558135" 6
24 "7558135" 7
25 "7558135" 8
26 "7558135" 9
27 "7558135" 10
28 "7558135" 11
29 "7558135" 12
30 "7558136" 1
31 "7558136" 2
32 "7558136" 3
33 "7558136" 4
34 "7558136" 5
35 "7558136" 6
36 "7558136" 7
37 "7558136" 8
38 "7558136" 9
39 "7558136" 10
40 "7558136" 11
41 "7558136" 12
42 "7558138" 1
43 "7558138" 2
44 "7558138" 3
45 "7558138" 4
46 "7558138" 5
47 "7558138" 6
48 "7558138" 7
49 "7558138" 8
50 "7558138" 9
51 "7558138" 10
mixed_case_recommended_field WARNING 9

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_short_name" "40-DT" 6
"routes.txt" "route_short_name" "94AT" 15
"routes.txt" "route_short_name" "94-DC" 22
"routes.txt" "route_short_name" "70AC" 30
"routes.txt" "route_short_name" "50AB" 45
"trips.txt" "trip_short_name" "1-DC" 138
"trips.txt" "trip_short_name" "1AC" 177
"trips.txt" "trip_short_name" "50AB" 201
"trips.txt" "trip_short_name" "1A-DC" 241
unknown_column INFO 32

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.
"fare_attributes.txt" "journey_duration" 8
"routes.txt" "eligibility_restricted" 11
"routes.txt" "bikes_allowed" 12
"routes.txt" "regional_fare_card" 14
"stops.txt" "stop_direction" 12
"stops.txt" "vehicle_type" 14
"stops.txt" "mta_stop_id" 17
"stops.txt" "regional_fare_card" 18
"stop_times.txt" "start_service_area_id" 1
"stop_times.txt" "end_service_area_id" 2
"stop_times.txt" "note_id" 5
"stop_times.txt" "to_stop_sequence" 16
"stop_times.txt" "route_short_name" 18
"stop_times.txt" "start_service_area_radius" 24
"stop_times.txt" "end_service_area_radius" 25
"stop_times.txt" "fare_period_id" 26
"stop_times.txt" "departure_buffer" 27
"stop_times.txt" "track" 28
"stop_times.txt" "mean_duration_factor" 29
"stop_times.txt" "mean_duration_offset" 30
"stop_times.txt" "safe_duration_factor" 31
"stop_times.txt" "safe_duration_offset" 32
"stop_times.txt" "free_running_flag" 33
"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