GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2026-07-18T02:05:14+03:00,
for the dataset https://www.visimarsrutai.lt/gtfs/Marijampoles.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. fare_attributes.txt
  4. fare_rules.txt
  5. routes.txt
  6. shapes.txt
  7. stop_times.txt
  8. stops.txt
  9. trips.txt

Counts

  • Agencies: 1
  • Blocks: 0
  • Routes: 18
  • Shapes: 126
  • Stops: 295
  • Trips: 367

Specification Compliance report

3453 notices reported (0 errors, 3421 warnings, 32 infos)

Notice Code Severity Total
equal_shape_distance_same_coordinates WARNING 3419

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 3419 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`.
"59881" 29434 363.7 11 29433 363.7 10
"59881" 29438 546.3 15 29437 546.3 14
"59881" 29454 1150.4 31 29453 1150.4 30
"59881" 29461 1242.9 38 29460 1242.9 37
"59881" 29482 1651.7 59 29481 1651.7 58
"59881" 29487 1780.5 64 29486 1780.5 63
"59881" 29498 2168.0 75 29497 2168.0 74
"59881" 29551 2799.3 128 29550 2799.3 127
"59881" 29566 3733.0 143 29565 3733.0 142
"59881" 29578 4365.0 155 29577 4365.0 154
"59881" 29588 5309.8 165 29587 5309.8 164
"59881" 29598 6050.6 175 29597 6050.6 174
"59881" 29608 6433.7 185 29607 6433.7 184
"59881" 29618 6816.7 195 29617 6816.7 194
"59881" 29620 6902.8 197 29619 6902.8 196
"59881" 29631 8328.4 208 29630 8328.4 207
"59881" 29648 10020.6 225 29647 10020.6 224
"59881" 29664 11209.5 241 29663 11209.5 240
"59881" 29676 12896.0 253 29675 12896.0 252
"59881" 29709 14991.7 286 29708 14991.7 285
"59881" 29733 16952.3 310 29732 16952.3 309
"59881" 29743 17981.2 320 29742 17981.2 319
"59881" 29757 19637.6 334 29756 19637.6 333
"59881" 29769 21114.5 346 29768 21114.5 345
"59881" 29788 22225.3 365 29787 22225.3 364
"59881" 29813 23879.0 390 29812 23879.0 389
"59881" 29821 24345.7 398 29820 24345.7 397
"59881" 29861 27073.5 438 29860 27073.5 437
"59881" 29968 30665.8 545 29967 30665.8 544
"59881" 29974 31056.3 551 29973 31056.3 550
"59881" 29976 31068.7 553 29975 31068.7 552
"59881" 30073 34949.4 650 30072 34949.4 649
"59880" 28788 2199.8 57 28787 2199.8 56
"59880" 28862 5121.3 131 28861 5121.3 130
"59880" 28864 5133.6 133 28863 5133.6 132
"59880" 28869 5511.8 138 28868 5511.8 137
"59880" 28976 9104.1 245 28975 9104.1 244
"59880" 28980 9181.0 249 28979 9181.0 248
"59880" 28982 9201.8 251 28981 9201.8 250
"59880" 28999 10148.3 268 28998 10148.3 267
"59880" 29030 12368.9 299 29029 12368.9 298
"59880" 29038 12835.6 307 29037 12835.6 306
"59880" 29056 14077.9 325 29055 14077.9 324
"59880" 29072 15167.9 341 29071 15167.9 340
"59880" 29084 16648.8 353 29083 16648.8 352
"59880" 29098 18308.3 367 29097 18308.3 366
"59880" 29112 19564.1 381 29111 19564.1 380
"59880" 29133 21329.4 402 29132 21329.4 401
"59880" 29166 23434.0 435 29165 23434.0 434
"59880" 29178 25127.7 447 29177 25127.7 446
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 1

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.
"stops.txt" "stop_name" "PC \"IKI\"" 262
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