GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2026-11-09T04:25:18+02:00,
for the dataset https://www.visimarsrutai.lt/gtfs/UkmergesR.zip. No country code was provided.

Use this report alongside our documentation.

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: 24
  • Shapes: 90
  • Stops: 318
  • Trips: 275

Specification Compliance report

298 notices reported (0 errors, 266 warnings, 32 infos)

Notice Code Severity Total
equal_shape_distance_same_coordinates WARNING 255

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 255 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`.
"45159" 43312 917.7 30 43311 917.7 29
"45159" 43366 2249.6 84 43365 2249.6 83
"45159" 43399 3568.6 117 43398 3568.6 116
"45159" 43449 4638.8 167 43448 4638.8 166
"45159" 43467 5814.6 185 43466 5814.6 184
"47459" 52173 924.3 39 52172 924.3 38
"47459" 52190 1529.0 56 52189 1529.0 55
"47459" 52205 2264.0 71 52204 2264.0 70
"47459" 52221 2656.8 87 52220 2656.8 86
"47459" 52235 3195.9 101 52234 3195.9 100
"47459" 52245 3665.9 111 52244 3665.9 110
"47459" 52278 4248.4 144 52277 4248.4 143
"47459" 52311 5131.9 177 52310 5131.9 176
"47459" 52322 5728.4 188 52321 5728.4 187
"47459" 52339 6443.0 205 52338 6443.0 204
"47459" 52347 6964.7 213 52346 6964.7 212
"47459" 52366 8286.1 232 52365 8286.1 231
"47459" 52376 8752.3 242 52375 8752.3 241
"47459" 52383 9212.6 249 52382 9212.6 248
"45158" 42941 1387.7 38 42940 1387.7 37
"45158" 42983 2113.6 80 42982 2113.6 79
"45158" 43020 3568.6 117 43019 3568.6 116
"45158" 43070 4638.8 167 43069 4638.8 166
"45158" 43090 5929.9 187 43089 5929.9 186
"45158" 43138 8079.0 235 43137 8079.0 234
"45158" 43208 9969.4 305 43207 9969.4 304
"45714" 44917 5262.9 134 44916 5262.9 133
"45714" 45097 12163.9 314 45096 12163.9 313
"45714" 45166 16865.9 383 45165 16865.9 382
"45714" 45212 19355.8 429 45211 19355.8 428
"45714" 45392 26788.8 609 45391 26788.8 608
"45715" 45674 5769.9 136 45673 5769.9 135
"45715" 45707 7352.9 169 45706 7352.9 168
"45715" 45738 9885.7 200 45737 9885.7 199
"45715" 45865 12990.6 327 45864 12990.6 326
"45715" 45934 17692.7 396 45933 17692.7 395
"45715" 46138 25622.7 600 46137 25622.7 599
"71785" 57142 986.4 41 57141 986.4 40
"71785" 57258 3572.3 157 57257 3572.3 156
"71785" 57337 4899.4 236 57336 4899.4 235
"71785" 57398 7680.7 297 57397 7680.7 296
"71785" 57463 9808.0 362 57462 9808.0 361
"71785" 57488 11492.1 387 57487 11492.1 386
"71785" 57511 12464.1 410 57510 12464.1 409
"71785" 57608 14084.7 507 57607 14084.7 506
"71785" 57643 15314.7 542 57642 15314.7 541
"71785" 57678 16544.4 577 57677 16544.4 576
"71785" 57775 18159.1 674 57774 18159.1 673
"71785" 57799 19095.9 698 57798 19095.9 697
"71785" 57823 20776.6 722 57822 20776.6 721
expired_calendar WARNING 6

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.
12 "76307"
84 "76308"
13 "76309"
72 "76816"
29 "73341"
17 "1271"
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"
mixed_case_recommended_field WARNING 4

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" "ŽELVA - PUSNĖ" 3
"routes.txt" "route_long_name" "ŽELVA - KIAUKLIAI" 4
"routes.txt" "route_long_name" "ŠIRVINTOS - UKMERGĖ - ŠIRVINTOS" 5
"stops.txt" "stop_name" "kulniškiai" 127
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