GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2026-02-03T01:45:13+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: 54
  • Shapes: 87
  • Stops: 270
  • Trips: 239

Specification Compliance report

3583 notices reported (0 errors, 3551 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" 19003 3241.6 163 19002 3241.6 162 0.0623586881758763
"34067" 15610 49177.4 805 15609 49177.4 804 0.0623586881758763
"34096" 18207 3241.6 163 18206 3241.6 162 0.0623586881758763
"36319" 22854 31015.9 528 22853 31015.9 527 0.0623586881758763
"36317" 21650 38911.6 654 21649 38911.6 653 0.0623586881758763
"34086" 17463 3793.2 180 17462 3793.2 179 0.0623586881758763
"34086" 18009 17842.1 726 18008 17842.1 725 0.06236154185211733
"34084" 16714 3793.2 180 16713 3793.2 179 0.0623586881758763
"47474" 44697 22362.6 555 44696 22362.6 554 0.0623586881758763
"34079" 16299 10297.4 210 16298 10297.4 209 0.06236154185211733
equal_shape_distance_same_coordinates WARNING 489

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 489 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" 40836 1736.5 20 40835 1736.5 19
"47458" 40861 3932.3 45 40860 3932.3 44
"47458" 40918 6594.1 102 40917 6594.1 101
"47458" 40979 8325.0 163 40978 8325.0 162
"47458" 41094 11030.5 278 41093 11030.5 277
"47458" 41196 13116.8 380 41195 13116.8 379
"47458" 41340 15572.9 524 41339 15572.9 523
"47458" 41400 16542.2 584 41399 16542.2 583
"47458" 41488 19907.5 672 41487 19907.5 671
"47458" 41519 21780.5 703 41518 21780.5 702
"47458" 41528 22737.2 712 41527 22737.2 711
"47458" 41544 24320.6 728 41543 24320.6 727
"47458" 41560 26589.0 744 41559 26589.0 743
"47458" 41570 28427.3 754 41569 28427.3 753
"47458" 41585 30123.3 769 41584 30123.3 768
"47458" 41608 32777.6 792 41607 32777.6 791
"47458" 41615 33226.6 799 41614 33226.6 798
"47458" 41670 34311.2 854 41669 34311.2 853
"47458" 41679 34760.4 863 41678 34760.4 862
"41235" 27503 144.7 9 27502 144.7 8
"41235" 27525 1229.5 31 27524 1229.5 30
"41235" 27542 1769.7 48 27541 1769.7 47
"41235" 27590 2925.4 96 27589 2925.4 95
"41235" 27600 3374.1 106 27599 3374.1 105
"41235" 27629 4099.1 135 27628 4099.1 134
"41235" 27661 4969.4 167 27660 4969.4 166
"41235" 27671 5575.5 177 27670 5575.5 176
"41235" 27687 6110.2 193 27686 6110.2 192
"41235" 27700 6612.1 206 27699 6612.1 205
"41235" 27797 9214.8 303 27796 9214.8 302
"41235" 27832 10496.6 338 27831 10496.6 337
"41235" 27921 12857.4 427 27920 12857.4 426
"41235" 27958 14404.3 464 27957 14404.3 463
"41235" 27981 15954.9 487 27980 15954.9 486
"41235" 28058 17558.2 564 28057 17558.2 563
"47456" 39512 2674.5 75 39511 2674.5 74
"47456" 39551 3385.2 114 39550 3385.2 113
"47456" 39648 5083.9 211 39647 5083.9 210
"47456" 39656 5596.3 219 39655 5596.3 218
"47456" 39679 8243.5 242 39678 8243.5 241
"47456" 39693 10037.1 256 39692 10037.1 255
"47456" 39702 11717.8 265 39701 11717.8 264
"47456" 39718 14027.1 281 39717 14027.1 280
"47456" 39729 15101.8 292 39728 15101.8 291
"47456" 39743 16311.0 306 39742 16311.0 305
"47456" 39774 18349.3 337 39773 18349.3 336
"47456" 39804 20262.7 367 39803 20262.7 366
"47456" 39819 22745.5 382 39818 22745.5 381
"47456" 39845 26227.2 408 39844 26227.2 407
"47456" 39867 28307.1 430 39866 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 3042

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 3042 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" 7
"routes.txt" "route_short_name" "94AT" 13
"routes.txt" "route_short_name" "94-DC" 22
"routes.txt" "route_short_name" "50AB" 45
"routes.txt" "route_short_name" "70AC" 49
"trips.txt" "trip_short_name" "1AC" 26
"trips.txt" "trip_short_name" "1-DC" 129
"trips.txt" "trip_short_name" "1A-DC" 161
"trips.txt" "trip_short_name" "50AB" 162
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