GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2026-05-25T01:39:13+03:00,
for the dataset https://www.visimarsrutai.lt/gtfs/Kalvarijos.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. routes.txt
  4. shapes.txt
  5. stop_times.txt
  6. stops.txt
  7. trips.txt

Counts

  • Agencies: 1
  • Blocks: 0
  • Routes: 10
  • Shapes: 16
  • Stops: 78
  • Trips: 80

Specification Compliance report

636 notices reported (0 errors, 605 warnings, 31 infos)

Notice Code Severity Total
equal_shape_distance_same_coordinates WARNING 88

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 88 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`.
"56820" 3187 3312.2 53 3186 3312.2 52
"56820" 3258 4990.2 124 3257 4990.2 123
"56820" 3260 5029.3 126 3259 5029.3 125
"56820" 3282 5800.9 148 3281 5800.9 147
"56820" 3284 5814.5 150 3283 5814.5 149
"56820" 3383 9019.9 249 3382 9019.9 248
"56820" 3399 10130.1 265 3398 10130.1 264
"56853" 6981 3140.4 109 6980 3140.4 108
"56853" 7143 6603.9 271 7142 6603.9 270
"56853" 7184 7994.8 312 7183 7994.8 311
"56853" 7380 10752.2 508 7379 10752.2 507
"56853" 7409 11012.3 537 7408 11012.3 536
"56853" 7723 12947.4 851 7722 12947.4 850
"56853" 7852 15396.3 980 7851 15396.3 979
"56853" 8011 17984.3 1139 8010 17984.3 1138
"56853" 8291 22905.1 1419 8290 22905.1 1418
"56843" 3681 1272.6 23 3680 1272.6 22
"56843" 3738 3887.1 80 3737 3887.1 79
"56843" 3753 5794.7 95 3752 5794.7 94
"56843" 3824 10604.8 166 3823 10604.8 165
"56843" 3862 12032.4 204 3861 12032.4 203
"56854" 8509 3132.7 110 8508 3132.7 109
"56854" 8798 8187.7 399 8797 8187.7 398
"56854" 8948 10641.5 549 8947 10641.5 548
"56854" 9077 13090.4 678 9076 13090.4 677
"56854" 9142 13352.6 743 9141 13352.6 742
"56854" 9392 15242.3 993 9391 15242.3 992
"56854" 9595 18230.4 1196 9594 18230.4 1195
"56854" 9635 19481.5 1236 9634 19481.5 1235
"56854" 9722 21832.8 1323 9721 21832.8 1322
"56854" 9774 22688.0 1375 9773 22688.0 1374
"56844" 3936 1315.9 11 3935 1315.9 10
"56844" 3953 2541.0 28 3952 2541.0 27
"56844" 4031 4807.2 106 4030 4807.2 105
"56844" 4033 4846.3 108 4032 4846.3 107
"56844" 4055 5617.9 130 4054 5617.9 129
"56844" 4057 5631.5 132 4056 5631.5 131
"56844" 4150 8261.0 225 4149 8261.0 224
"56223" 173 4689.0 172 172 4689.0 171
"56223" 278 7868.0 277 277 7868.0 276
"56223" 366 10528.2 365 365 10528.2 364
"56223" 483 12792.0 482 482 12792.0 481
"56223" 673 16793.0 672 672 16793.0 671
"56223" 760 19956.7 759 759 19956.7 758
"56223" 811 21311.0 810 810 21311.0 809
"56850" 6584 3783.3 84 6583 3783.3 83
"56850" 6652 6614.4 152 6651 6614.4 151
"56850" 6712 9327.0 212 6711 9327.0 211
"56850" 6776 11567.5 276 6775 11567.5 275
"56850" 6816 12856.8 316 6815 12856.8 315
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 505

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 505 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 "8243201" 1
3 "8243201" 2
4 "8243201" 3
5 "8243201" 4
6 "8243201" 5
7 "8243201" 6
8 "8243201" 7
9 "8243201" 8
10 "8243202" 1
11 "8243202" 2
12 "8243202" 3
13 "8243202" 4
14 "8243202" 5
15 "8243202" 6
16 "8243202" 7
17 "8243202" 8
18 "8243202" 9
19 "8243203" 1
20 "8243203" 2
21 "8243203" 3
22 "8243203" 4
23 "8243203" 5
24 "8243203" 6
25 "8243203" 7
26 "8243203" 8
27 "8243204" 1
28 "8243204" 2
29 "8243204" 3
30 "8243204" 4
31 "8243204" 5
32 "8243204" 6
33 "8243204" 7
34 "8243204" 8
35 "8243204" 9
36 "8243205" 1
37 "8243205" 2
38 "8243205" 3
39 "8243205" 4
40 "8243205" 5
41 "8243205" 6
42 "8243205" 7
43 "8243205" 8
44 "8243206" 1
45 "8243206" 2
46 "8243206" 3
47 "8243206" 4
48 "8243206" 5
49 "8243206" 6
50 "8243206" 7
51 "8243206" 8
mixed_case_recommended_field WARNING 11

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" "KALVARIJOS AS–TABARAI–ALKSNINĖ–KALVARIJOS AS" 2
"routes.txt" "route_long_name" "KALVARIJOS AS–SLABADĖLĖ–ZAPALIMAI–KVIETKINĖ–KALVARIJOS AS" 3
"routes.txt" "route_long_name" "GULBINIŠKIAI II–MARIJAMPOLĖS AS" 4
"routes.txt" "route_long_name" "MARIJAMPOLĖS AS–GULBINIŠKIAI II" 5
"routes.txt" "route_long_name" "GULBINIŠKIAI II–KALVARIJOS AS" 6
"routes.txt" "route_long_name" "KALVARIJOS AS–SANGRŪDA–SENOJI RADIŠKĖ–MIKLAUSĖ– KALVARIJOS AS" 7
"routes.txt" "route_long_name" "KALVARIJOS AS–AISTIŠKIAI–AKMENYNAI–JURGEŽERIAI–KALVARIJOS AS" 8
"routes.txt" "route_long_name" "KALVARIJOS AS–JUNGĖNAI–KALVARIJOS AS" 9
"routes.txt" "route_long_name" "KALVARIJOS AS–GULBINIŠKIAI II" 10
"routes.txt" "route_long_name" "KALVARIJOS AS–SALAPERAUGIS–PAGRAUŽIAI–KALVARIJOS AS" 11
"stops.txt" "stop_name" "SM g-la" 29
unknown_column INFO 31

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" 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