GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2026-09-15T03:25:19+03:00,
for the dataset https://www.visimarsrutai.lt/gtfs/SalcininkuR.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: 16
  • Shapes: 44
  • Stops: 230
  • Trips: 128

Specification Compliance report

179 notices reported (0 errors, 147 warnings, 32 infos)

Notice Code Severity Total
equal_shape_distance_same_coordinates WARNING 144

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 144 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`.
"61760" 37877 2239.1 45 37876 2239.1 44
"61760" 37939 5085.4 107 37938 5085.4 106
"61760" 37999 7393.0 167 37998 7393.0 166
"58451" 35907 1403.1 50 35906 1403.1 49
"58451" 35929 2771.5 72 35928 2771.5 71
"58451" 35983 4542.5 126 35982 4542.5 125
"58451" 36023 5779.7 166 36022 5779.7 165
"58451" 36064 7813.1 207 36063 7813.1 206
"58451" 36142 11015.6 285 36141 11015.6 284
"58451" 36223 14547.2 366 36222 14547.2 365
"58451" 36289 16671.9 432 36288 16671.9 431
"58451" 36312 17822.8 455 36311 17822.8 454
"58451" 36345 19664.1 488 36344 19664.1 487
"58451" 36419 23253.9 562 36418 23253.9 561
"58451" 36453 24610.4 596 36452 24610.4 595
"61762" 38074 546.0 26 38073 546.0 25
"61762" 38155 3147.5 107 38154 3147.5 106
"61762" 38198 5107.6 150 38197 5107.6 149
"61762" 38243 7203.5 195 38242 7203.5 194
"61762" 38298 9921.4 250 38297 9921.4 249
"61762" 38397 12657.3 349 38396 12657.3 348
"61762" 38447 13572.1 399 38446 13572.1 398
"61762" 38496 14975.2 448 38495 14975.2 447
"61762" 38518 16343.6 470 38517 16343.6 469
"61762" 38572 18114.6 524 38571 18114.6 523
"61762" 38612 19351.8 564 38611 19351.8 563
"61762" 38653 21385.2 605 38652 21385.2 604
"61762" 38731 24587.7 683 38730 24587.7 682
"61762" 38812 28119.3 764 38811 28119.3 763
"61762" 38878 30244.0 830 38877 30244.0 829
"61762" 38901 31394.9 853 38900 31394.9 852
"61762" 38934 33236.2 886 38933 33236.2 885
"61762" 39008 36826.0 960 39007 36826.0 959
"61762" 39042 38182.5 994 39041 38182.5 993
"61841" 40682 3074.5 74 40681 3074.5 73
"61841" 40757 6704.5 149 40756 6704.5 148
"61841" 40792 8649.7 184 40791 8649.7 183
"61841" 40813 9707.7 205 40812 9707.7 204
"61841" 40877 11648.8 269 40876 11648.8 268
"61841" 40956 15195.0 348 40955 15195.0 347
"61841" 41038 18599.0 430 41037 18599.0 429
"61841" 41083 20616.9 475 41082 20616.9 474
"61841" 41126 21856.9 518 41125 21856.9 517
"61841" 41173 23590.9 565 41172 23590.9 564
"61841" 41196 24948.2 588 41195 24948.2 587
"61841" 41243 26295.1 635 41242 26295.1 634
"61841" 41390 29550.8 782 41389 29550.8 781
"61842" 41516 2133.9 66 41515 2133.9 65
"61842" 41649 5056.3 199 41648 5056.3 198
"61842" 41698 6461.2 248 41697 6461.2 247
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 2

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" "11-as kilometras" 9
"stops.txt" "stop_name" "11-as kilometras" 161
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