GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2026-09-10T04:25:22+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: 25
  • Shapes: 116
  • Stops: 327
  • Trips: 376

Specification Compliance report

242 notices reported (0 errors, 210 warnings, 32 infos)

Notice Code Severity Total
equal_shape_distance_same_coordinates WARNING 199

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 199 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`.
"46721" 57010 523.7 15 57009 523.7 14
"46721" 57020 1042.6 25 57019 1042.6 24
"46721" 57026 1395.8 31 57025 1395.8 30
"46721" 57032 1754.5 37 57031 1754.5 36
"46721" 57047 2263.0 52 57046 2263.0 51
"46721" 57080 3060.3 85 57079 3060.3 84
"46721" 57114 3876.4 119 57113 3876.4 118
"46721" 57138 4284.1 143 57137 4284.1 142
"46721" 57142 4514.5 147 57141 4514.5 146
"46949" 59420 770.0 24 59419 770.0 23
"46949" 59470 1908.8 74 59469 1908.8 73
"46949" 59508 4166.4 112 59507 4166.4 111
"46949" 59584 7135.4 188 59583 7135.4 187
"46949" 59631 8349.0 235 59630 8349.0 234
"46949" 59738 11311.7 342 59737 11311.7 341
"46949" 59768 12095.7 372 59767 12095.7 371
"46949" 59896 18841.2 500 59895 18841.2 499
"46949" 59994 25722.9 598 59993 25722.9 597
"46949" 60027 27305.9 631 60026 27305.9 630
"47230" 55205 910.2 34 55204 910.2 33
"47230" 55295 3704.4 124 55294 3704.4 123
"47230" 55366 5135.5 195 55365 5135.5 194
"47230" 55415 6491.4 244 55414 6491.4 243
"47229" 54617 910.2 34 54616 910.2 33
"47229" 54707 3704.4 124 54706 3704.4 123
"47229" 54723 4274.6 140 54722 4274.6 139
"47229" 54755 6274.7 172 54754 6274.7 171
"47229" 54773 7273.1 190 54772 7273.1 189
"47229" 54791 8271.4 208 54790 8271.4 207
"47229" 54823 10271.5 240 54822 10271.5 239
"47229" 54839 10841.8 256 54838 10841.8 255
"47229" 54910 12272.9 327 54909 12272.9 326
"47229" 54959 13628.8 376 54958 13628.8 375
"44634" 49016 5264.3 221 49015 5264.3 220
"44634" 49057 6622.6 262 49056 6622.6 261
"44634" 49083 7459.6 288 49082 7459.6 287
"44634" 49139 8974.1 344 49138 8974.1 343
"44634" 49189 10128.5 394 49188 10128.5 393
"44634" 49267 13793.4 472 49266 13793.4 471
"44634" 49310 15338.4 515 49309 15338.4 514
"44634" 49366 17313.5 571 49365 17313.5 570
"44634" 49464 20585.7 669 49463 20585.7 668
"44634" 49503 21408.1 708 49502 21408.1 707
"44634" 49603 24816.5 808 49602 24816.5 807
"44634" 49694 28146.9 899 49693 28146.9 898
"44634" 49742 29047.3 947 49741 29047.3 946
"44634" 49818 31505.2 1023 49817 31505.2 1022
"44634" 49891 34218.1 1096 49890 34218.1 1095
"44634" 49940 36562.5 1145 49939 36562.5 1144
"44634" 49965 37462.8 1170 49964 37462.8 1169
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" 7
"routes.txt" "route_long_name" "ŠIRVINTOS - UKMERGĖ - ŠIRVINTOS" 18
"routes.txt" "route_long_name" "ŽELVA - KIAUKLIAI" 25
"stops.txt" "stop_name" "kulniškiai" 130
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