GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2026-09-15T04:25:21+03:00,
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: 23
  • Shapes: 88
  • Stops: 318
  • Trips: 295

Specification Compliance report

233 notices reported (0 errors, 201 warnings, 32 infos)

Notice Code Severity Total
equal_shape_distance_same_coordinates WARNING 190

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 190 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" 45677 917.7 30 45676 917.7 29
"45159" 45731 2249.6 84 45730 2249.6 83
"45159" 45764 3568.6 117 45763 3568.6 116
"45159" 45814 4638.8 167 45813 4638.8 166
"45159" 45832 5814.6 185 45831 5814.6 184
"47459" 54538 924.3 39 54537 924.3 38
"47459" 54555 1529.0 56 54554 1529.0 55
"47459" 54570 2264.0 71 54569 2264.0 70
"47459" 54586 2656.8 87 54585 2656.8 86
"47459" 54600 3195.9 101 54599 3195.9 100
"47459" 54610 3665.9 111 54609 3665.9 110
"47459" 54643 4248.4 144 54642 4248.4 143
"47459" 54676 5131.9 177 54675 5131.9 176
"47459" 54687 5728.4 188 54686 5728.4 187
"47459" 54704 6443.0 205 54703 6443.0 204
"47459" 54712 6964.7 213 54711 6964.7 212
"47459" 54731 8286.1 232 54730 8286.1 231
"47459" 54741 8752.3 242 54740 8752.3 241
"47459" 54748 9212.6 249 54747 9212.6 248
"45158" 45306 1387.7 38 45305 1387.7 37
"45158" 45348 2113.6 80 45347 2113.6 79
"45158" 45385 3568.6 117 45384 3568.6 116
"45158" 45435 4638.8 167 45434 4638.8 166
"45158" 45455 5929.9 187 45454 5929.9 186
"45158" 45503 8079.0 235 45502 8079.0 234
"45158" 45573 9969.4 305 45572 9969.4 304
"45714" 47282 5262.9 134 47281 5262.9 133
"45714" 47462 12163.9 314 47461 12163.9 313
"45714" 47531 16865.9 383 47530 16865.9 382
"45714" 47577 19355.8 429 47576 19355.8 428
"45714" 47757 26788.8 609 47756 26788.8 608
"45715" 48039 5769.9 136 48038 5769.9 135
"45715" 48072 7352.9 169 48071 7352.9 168
"45715" 48103 9885.7 200 48102 9885.7 199
"45715" 48230 12990.6 327 48229 12990.6 326
"45715" 48299 17692.7 396 48298 17692.7 395
"45715" 48503 25622.7 600 48502 25622.7 599
"46740" 50497 5908.4 186 50496 5908.4 185
"46740" 50512 6666.2 201 50511 6666.2 200
"46740" 50529 7972.7 218 50528 7972.7 217
"46740" 50563 8847.4 252 50562 8847.4 251
"46740" 50625 12000.7 314 50624 12000.7 313
"46740" 50703 13239.8 392 50702 13239.8 391
"46740" 50820 15860.5 509 50819 15860.5 508
"46949" 50882 770.0 24 50881 770.0 23
"46949" 50932 1908.8 74 50931 1908.8 73
"46949" 50970 4166.4 112 50969 4166.4 111
"46949" 51046 7135.4 188 51045 7135.4 187
"46949" 51093 8349.0 235 51092 8349.0 234
"46949" 51200 11311.7 342 51199 11311.7 341
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" 6
"routes.txt" "route_long_name" "ŠIRVINTOS - UKMERGĖ - ŠIRVINTOS" 21
"routes.txt" "route_long_name" "ŽELVA - KIAUKLIAI" 22
"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