GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2026-09-15T02:05:18+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: 297
  • Trips: 371

Specification Compliance report

3461 notices reported (0 errors, 3429 warnings, 32 infos)

Notice Code Severity Total
equal_shape_distance_same_coordinates WARNING 3427

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 3427 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`.
"64395" 41896 1258.1 21 41895 1258.1 20
"64395" 41902 1889.3 27 41901 1889.3 26
"64395" 41943 2941.8 68 41942 2941.8 67
"64395" 41945 2988.5 70 41944 2988.5 69
"64395" 41991 3786.8 116 41990 3786.8 115
"64395" 41993 3829.4 118 41992 3829.4 117
"64395" 42075 6096.0 200 42074 6096.0 199
"64395" 42157 8362.7 282 42156 8362.7 281
"64395" 42174 9108.4 299 42173 9108.4 298
"64395" 42194 10233.8 319 42193 10233.8 318
"64395" 42228 11736.5 353 42227 11736.5 352
"64395" 42247 12562.9 372 42246 12562.9 371
"64395" 42277 14379.5 402 42276 14379.5 401
"64395" 42310 15691.6 435 42309 15691.6 434
"64395" 42312 15697.9 437 42311 15697.9 436
"64395" 42314 15704.3 439 42313 15704.3 438
"64395" 42326 16058.1 451 42325 16058.1 450
"64395" 42348 17016.4 473 42347 17016.4 472
"64395" 42366 18145.8 491 42365 18145.8 490
"64395" 42379 18834.0 504 42378 18834.0 503
"64395" 42441 19861.1 566 42440 19861.1 565
"64395" 42448 20284.7 573 42447 20284.7 572
"64395" 42450 20345.4 575 42449 20345.4 574
"64395" 42452 20395.8 577 42451 20395.8 576
"64395" 42463 20782.6 588 42462 20782.6 587
"64395" 42480 21542.8 605 42479 21542.8 604
"64395" 42487 22131.8 612 42486 22131.8 611
"64395" 42509 22549.2 634 42508 22549.2 633
"64395" 42516 22652.8 641 42515 22652.8 640
"64395" 42543 23370.1 668 42542 23370.1 667
"64395" 42558 23741.3 683 42557 23741.3 682
"64395" 42566 24100.7 691 42565 24100.7 690
"64395" 42609 24750.0 734 42608 24750.0 733
"64395" 42612 24867.0 737 42611 24867.0 736
"64394" 41483 11.1 5 41482 11.1 4
"64394" 41485 65.4 7 41484 65.4 6
"64394" 41505 1407.5 27 41504 1407.5 26
"64394" 41507 1423.1 29 41506 1423.1 28
"64394" 41529 2297.3 51 41528 2297.3 50
"64394" 41538 2638.9 60 41537 2638.9 59
"64394" 41550 2979.9 72 41549 2979.9 71
"64394" 41561 3366.7 83 41560 3366.7 82
"64394" 41578 4126.9 100 41577 4126.9 99
"64394" 41585 4715.9 107 41584 4715.9 106
"64394" 41603 5054.1 125 41602 5054.1 124
"64394" 41605 5130.3 127 41604 5130.3 126
"64394" 41616 6224.9 138 41615 6224.9 137
"64394" 41635 7397.5 157 41634 7397.5 156
"64394" 41640 7476.7 162 41639 7476.7 161
"64394" 41647 7580.3 169 41646 7580.3 168
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\"" 264
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