GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2026-02-04T01:56:09+02:00,
for the dataset https://www.visimarsrutai.lt/gtfs/LTSAR.zip. No country code was provided.

Use this report alongside our documentation.

⚠ This feed contains GTFS Flex features. Please note that GTFS Flex validation support is still in development. You can manually review all the validation rules for Flex data here.

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: 227
  • Shapes: 396
  • Stops: 1943
  • Trips: 630

Specification Compliance report

18069 notices reported (0 errors, 18037 warnings, 32 infos)

Notice Code Severity Total
equal_shape_distance_diff_coordinates_distance_below_threshold WARNING 4109

equal_shape_distance_diff_coordinates_distance_below_threshold

Two consecutive points have equal shape_dist_traveled and different lat/lon coordinates in shapes.txt and the distance between the two points is greater than 0 but less than 1.11m.

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 small difference of coordinates (greater than 0 but less than 1.11 m distance) result in a warning.

You can see more about this notice here.

Only the first 50 of 4109 affected records are displayed below.

shapeId (?) The id of the faulty shape. csvRowNumber (?) The row number from `shapes.txt`. shapeDistTraveled (?) The faulty record's `shape_dist_traveled` value. shapePtSequence (?) The faulty record's `shapes.shape_pt_sequence`. prevCsvRowNumber (?) The row number from `shapes.txt` of the previous shape point. prevShapeDistTraveled (?) The previous shape point's `shape_dist_traveled` value. prevShapePtSequence (?) The previous record's `shapes.shape_pt_sequence`. actualDistanceBetweenShapePoints (?) Actual distance traveled along the shape from the first shape point to the previous shape point.
"19584" 513996 85572.2 2359 513995 85572.2 2358 0.11119510090982554
"19582" 510417 97069.6 2672 510416 97069.6 2671 0.11119510090982554
"30024" 1305341 104239.5 1993 1305340 104239.5 1992 0.11119510090982554
"2681" 232284 135913.8 2471 232283 135913.8 2470 0.12752942403551987
"2681" 232287 135914.0 2474 232286 135914.0 2473 0.11119510090982554
"2681" 232290 135914.2 2477 232289 135914.2 2476 0.11119510090982554
"2681" 232294 135914.5 2481 232293 135914.5 2480 0.11119510232447394
"2681" 232297 135914.7 2484 232296 135914.7 2483 0.11119510161714974
"2681" 232300 135914.9 2487 232299 135914.9 2486 0.12752941555597483
"2681" 232309 135915.5 2496 232308 135915.5 2495 0.11119510090982554
"2681" 232312 135915.7 2499 232311 135915.7 2498 0.11119510161714974
"2681" 232315 135915.9 2502 232314 135915.9 2501 0.11119510090982554
"2681" 232321 135916.3 2508 232320 135916.3 2507 0.06244516681738816
"2681" 232325 135916.6 2512 232324 135916.6 2511 0.11119510161714974
"2681" 232334 135917.2 2521 232333 135917.2 2520 0.11119510090982554
"2681" 232337 135917.4 2524 232336 135917.4 2523 0.12752939825777979
"2681" 232340 135917.6 2527 232339 135917.6 2526 0.11119510161714974
"2681" 232349 135918.2 2536 232348 135918.2 2535 0.11119510161714974
"2681" 232352 135918.4 2539 232351 135918.4 2538 0.11119510090982554
"2681" 232355 135918.6 2542 232354 135918.6 2541 0.11119510090982554
"2681" 232359 135918.9 2546 232358 135918.9 2545 0.11119510161714974
"2681" 232362 135919.1 2549 232361 135919.1 2548 0.11119510090982554
"2681" 232365 135919.3 2552 232364 135919.3 2551 0.11119510090982554
"2681" 232374 135919.9 2561 232373 135919.9 2560 0.12752938095958766
"2681" 232377 135920.1 2564 232376 135920.1 2563 0.11119510161714974
"2681" 232388 135920.8 2575 232387 135920.8 2574 0.11119510161714974
"2681" 232390 135920.9 2577 232389 135920.9 2576 0.11119510090982554
"2681" 232393 135921.1 2580 232392 135921.1 2579 0.11119510161714974
"2681" 232401 135921.6 2588 232400 135921.6 2587 0.11119510090982554
"2681" 232406 135921.9 2593 232405 135921.9 2592 0.11119510090982554
"2681" 232408 135922.0 2595 232407 135922.0 2594 0.11119510161714974
"2681" 232419 135922.7 2606 232418 135922.7 2605 0.11119510161714974
"2681" 232421 135922.8 2608 232420 135922.8 2607 0.11119510090982554
"2681" 232424 135923.0 2611 232423 135923.0 2610 0.11119510161714974
"2681" 232426 135923.1 2613 232425 135923.1 2612 0.11119510090982554
"2681" 232432 135923.5 2619 232431 135923.5 2618 0.1275293557985862
"2681" 232434 135923.6 2621 232433 135923.6 2620 0.11119510161714974
"2681" 232437 135923.8 2624 232436 135923.8 2623 0.11119510090982554
"2681" 232439 135923.9 2626 232438 135923.9 2625 0.11119510232447394
"2681" 232444 135924.2 2631 232443 135924.2 2630 0.11119510161714974
"2681" 232450 135924.6 2637 232449 135924.6 2636 0.11119510161714974
"2681" 232452 135924.7 2639 232451 135924.7 2638 0.11119510090982554
"2681" 232455 135924.9 2642 232454 135924.9 2641 0.11119510090982554
"2681" 232457 135925.0 2644 232456 135925.0 2643 0.11119510090982554
"2681" 232465 135925.5 2652 232464 135925.5 2651 0.11119510161714974
"2681" 232468 135925.7 2655 232467 135925.7 2654 0.11119510090982554
"2681" 232470 135925.8 2657 232469 135925.8 2656 0.11119510161714974
"2681" 232481 135926.5 2668 232480 135926.5 2667 0.11119510161714974
"2681" 232483 135926.6 2670 232482 135926.6 2669 0.11119510090982554
"2681" 232486 135926.8 2673 232485 135926.8 2672 0.11119510090982554
equal_shape_distance_same_coordinates WARNING 2033

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 2033 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`.
"19586" 521905 115749.9 3025 521904 115749.9 3024
"19582" 508592 35083.3 847 508591 35083.3 846
"29024" 671494 148042.4 3038 671493 148042.4 3037
"30025" 1309397 128479.9 2455 1309396 128479.9 2454
"29389" 1068620 137920.1 2829 1068619 137920.1 2828
"39068" 1535589 1205.5 24 1535588 1205.5 23
"39068" 1535770 12631.5 205 1535769 12631.5 204
"39068" 1535926 20843.7 361 1535925 20843.7 360
"39068" 1536080 27437.5 515 1536079 27437.5 514
"39068" 1536127 29887.0 562 1536126 29887.0 561
"39068" 1536199 32834.7 634 1536198 32834.7 633
"39068" 1536253 35707.7 688 1536252 35707.7 687
"39068" 1536334 38702.0 769 1536333 38702.0 768
"39068" 1536410 42593.6 845 1536409 42593.6 844
"39068" 1536439 44406.1 874 1536438 44406.1 873
"39068" 1536456 46457.2 891 1536455 46457.2 890
"39068" 1536511 50053.0 946 1536510 50053.0 945
"39068" 1536548 52038.7 983 1536547 52038.7 982
"39068" 1536588 54228.5 1023 1536587 54228.5 1022
"39068" 1536658 57770.6 1093 1536657 57770.6 1092
"39068" 1536726 61758.5 1161 1536725 61758.5 1160
"39068" 1536989 73543.5 1424 1536988 73543.5 1423
"39068" 1537140 76707.2 1575 1537139 76707.2 1574
"39068" 1537173 79048.7 1608 1537172 79048.7 1607
"39068" 1537229 83186.9 1664 1537228 83186.9 1663
"39068" 1537311 86670.2 1746 1537310 86670.2 1745
"39068" 1537392 88600.8 1827 1537391 88600.8 1826
"39068" 1537486 91992.0 1921 1537485 91992.0 1920
"39068" 1537608 96103.6 2043 1537607 96103.6 2042
"39068" 1537787 100996.3 2222 1537786 100996.3 2221
"39068" 1537964 107481.4 2399 1537963 107481.4 2398
"39068" 1538321 118217.0 2756 1538320 118217.0 2755
"39068" 1538486 123890.4 2921 1538485 123890.4 2920
"39068" 1538554 129182.9 2989 1538553 129182.9 2988
"39068" 1538665 134007.2 3100 1538664 134007.2 3099
"39068" 1538754 139284.0 3189 1538753 139284.0 3188
"39068" 1538838 143222.0 3273 1538837 143222.0 3272
"39068" 1538889 145499.9 3324 1538888 145499.9 3323
"39068" 1538994 147266.4 3429 1538993 147266.4 3428
"39068" 1539026 149266.7 3461 1539025 149266.7 3460
"39068" 1539160 156197.5 3595 1539159 156197.5 3594
"39068" 1539272 159334.4 3707 1539271 159334.4 3706
"39068" 1539381 165426.5 3816 1539380 165426.5 3815
"39068" 1539405 166935.7 3840 1539404 166935.7 3839
"39068" 1539531 177154.4 3966 1539530 177154.4 3965
"39068" 1539625 185229.3 4060 1539624 185229.3 4059
"39068" 1539790 195188.5 4225 1539789 195188.5 4224
"39068" 1539863 196726.1 4298 1539862 196726.1 4297
"39068" 1540198 214819.6 4633 1540197 214819.6 4632
"39068" 1540384 224192.7 4819 1540383 224192.7 4818
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.
22 "43774"
266 "48071"
36 "48073"
261 "48062"
220 "47985"
338 "24602"
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"
missing_timepoint_value WARNING 11881

missing_timepoint_value

stop_times.timepoint value is missing for a record.

Even though the column timepoint is optional in stop_times.txt according to the specification, stop_times.timepoint should not be empty when provided.

You can see more about this notice here.

Only the first 50 of 11881 affected records are displayed below.

csvRowNumber (?) The row number of the faulty record. tripId (?) The faulty record's `stop_times.trip_id`. stopSequence (?) The faulty record's `stop_times.stop_sequence`.
2 "41979" 1
3 "41979" 2
4 "41979" 3
5 "41979" 4
6 "41980" 1
7 "41980" 2
8 "41980" 3
9 "41980" 4
10 "41981" 1
11 "41981" 2
12 "41981" 3
13 "41981" 4
14 "41982" 1
15 "41982" 2
16 "41982" 3
17 "41982" 4
18 "42101" 1
19 "42101" 2
20 "42101" 4
21 "42101" 5
22 "42101" 6
23 "42103" 1
24 "42103" 2
25 "42103" 4
26 "42103" 5
27 "42103" 6
28 "42105" 1
29 "42105" 2
30 "42105" 4
31 "42105" 5
32 "42203" 1
33 "42203" 2
34 "42203" 3
35 "42203" 4
36 "42203" 5
37 "42203" 6
38 "42203" 7
39 "42203" 8
40 "42203" 9
41 "42203" 10
42 "42203" 11
43 "42203" 12
44 "42203" 13
45 "42203" 14
46 "42203" 15
47 "42203" 16
48 "42203" 17
49 "42203" 18
50 "42203" 19
51 "42206" 1
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.
"trips.txt" "trip_short_name" "3!AG" 117
"trips.txt" "trip_short_name" "4!AG" 427
stop_too_far_from_shape WARNING 5

stop_too_far_from_shape

Stop too far from trip shape.

Per GTFS Best Practices, route alignments (in shapes.txt) should be within 100 meters of stop locations which a trip serves. This potentially indicates a problem with the location of the stop or the path of the shape.

You can see more about this notice here.

tripCsvRowNumber (?) The row number of the faulty record from `trips.txt`. shapeId (?) The id of the shape that is referred to. tripId (?) The id of the trip that is referred to. stopTimeCsvRowNumber (?) The row number of the faulty record from `stop_times.txt`. stopId (?) The id of the stop that is referred to. stopName (?) The name of the stop that is referred to. match (?) Latitude and longitude pair of the location. geoDistanceToShape (?) Distance from stop to shape.
318 "29329" "7418310" 6461 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
116 "29328" "7418309" 6438 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
609 "29420" "7429613" 6983 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
225 "29615" "7432118" 7454 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
614 "29616" "7432119" 7502 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
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