GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2025-06-16T06:06:19+03:00,
for the dataset https://www.visimarsrutai.lt/gtfs/google_transit.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. attributions.txt
  3. calendar.txt
  4. calendar_dates.txt
  5. fare_attributes.txt
  6. fare_rules.txt
  7. routes.txt
  8. shapes.txt
  9. stop_times.txt
  10. stops.txt
  11. trips.txt

Counts

  • Agencies: 41
  • Blocks: 0
  • Routes: 1243
  • Shapes: 3343
  • Stops: 11418
  • Trips: 20241

Specification Compliance report

110507 notices reported (0 errors, 110474 warnings, 33 infos)

Notice Code Severity Total
duplicate_route_name WARNING 3

duplicate_route_name

Two distinct routes have either the same route_short_name, the same route_long_name, or the same combination of route_short_name and route_long_name.

All routes of the same route_type with the same agency_id should have unique combinations of route_short_name and route_long_name.

Note that there may be valid cases where routes have the same short and long name, e.g., if they serve different areas. However, different directions must be modeled as the same route.

Example of bad data:

route_id route_short_name route_long_name
route1 U1 Southern
route2 U1 Southern

You can see more about this notice here.

csvRowNumber1 (?) The row number of the first occurrence. routeId1 (?) The id of the the first occurrence. csvRowNumber2 (?) The row number of the other occurrence. routeId2 (?) The id of the the other occurrence. routeShortName (?) Common `routes.route_short_name`. routeLongName (?) Common `routes.route_long_name`. routeTypeValue (?) Common `routes.route_type`. agencyId (?) Common `routes.agency_id`.
54 "16021" 260 "6209" "M1" "Alytus - Geniai" 3 "48"
642 "16052" 838 "6212" "M23" "Alytus - Punia - Butrimonys - Eigirdonys" 3 "48"
348 "3645" 1196 "8681" "144" "Vilnius (Žalgirio stotelė) – Nemenčinė per Pikeliškes" 3 "53"
equal_shape_distance_diff_coordinates_distance_below_threshold WARNING 4141

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 4141 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.
"2328" 380572 35929.8 642 380571 35929.8 641 0.11119510090982554
"2369" 365912 63265.5 1261 365911 63265.5 1260 0.11119510090982554
"2385" 556216 69168.3 1771 556215 69168.3 1770 0.06441976500794575
"28733" 2269957 71509.2 1569 2269956 71509.2 1568 0.06441976500794575
"1919" 721481 136875.8 2842 721480 136875.8 2841 0.12752942403551987
"1919" 721484 136876.0 2845 721483 136876.0 2844 0.11119510090982554
"1919" 721491 136876.5 2852 721490 136876.5 2851 0.11119510232447394
"1919" 721494 136876.7 2855 721493 136876.7 2854 0.11119510161714974
"1919" 721497 136876.9 2858 721496 136876.9 2857 0.12752941555597483
"1919" 721506 136877.5 2867 721505 136877.5 2866 0.11119510090982554
"1919" 721509 136877.7 2870 721508 136877.7 2869 0.11119510161714974
"1919" 721512 136877.9 2873 721511 136877.9 2872 0.11119510090982554
"1919" 721519 136878.4 2880 721518 136878.4 2879 0.11119510090982554
"1919" 721522 136878.6 2883 721521 136878.6 2882 0.11119510161714974
"1919" 721531 136879.2 2892 721530 136879.2 2891 0.11119510090982554
"1919" 721534 136879.4 2895 721533 136879.4 2894 0.12752939825777979
"1919" 721537 136879.6 2898 721536 136879.6 2897 0.11119510161714974
"1919" 721546 136880.2 2907 721545 136880.2 2906 0.11119510161714974
"1919" 721550 136880.5 2911 721549 136880.5 2910 0.06244513630731429
"1919" 721556 136880.9 2917 721555 136880.9 2916 0.11119510161714974
"1919" 721559 136881.1 2920 721558 136881.1 2919 0.11119510090982554
"1919" 721562 136881.3 2923 721561 136881.3 2922 0.11119510090982554
"1919" 721571 136881.9 2932 721570 136881.9 2931 0.12752938095958766
"1919" 721574 136882.1 2935 721573 136882.1 2934 0.11119510161714974
"1919" 721585 136882.8 2946 721584 136882.8 2945 0.11119510161714974
"1919" 721590 136883.1 2951 721589 136883.1 2950 0.11119510161714974
"1919" 721598 136883.6 2959 721597 136883.6 2958 0.11119510090982554
"1919" 721603 136883.9 2964 721602 136883.9 2963 0.11119510090982554
"1919" 721616 136884.7 2977 721615 136884.7 2976 0.11119510161714974
"1919" 721618 136884.8 2979 721617 136884.8 2978 0.11119510090982554
"1919" 721621 136885.0 2982 721620 136885.0 2981 0.11119510161714974
"1919" 721629 136885.5 2990 721628 136885.5 2989 0.1275293557985862
"1919" 721631 136885.6 2992 721630 136885.6 2991 0.11119510161714974
"1919" 721634 136885.8 2995 721633 136885.8 2994 0.11119510090982554
"1919" 721636 136885.9 2997 721635 136885.9 2996 0.11119510232447394
"1919" 721642 136886.3 3003 721641 136886.3 3002 0.06244505260741443
"1919" 721647 136886.6 3008 721646 136886.6 3007 0.11119510161714974
"1919" 721649 136886.7 3010 721648 136886.7 3009 0.11119510090982554
"1919" 721652 136886.9 3013 721651 136886.9 3012 0.11119510090982554
"1919" 721654 136887.0 3015 721653 136887.0 3014 0.11119510090982554
"1919" 721660 136887.4 3021 721659 136887.4 3020 0.11119510090982554
"1919" 721662 136887.5 3023 721661 136887.5 3022 0.11119510161714974
"1919" 721665 136887.7 3026 721664 136887.7 3025 0.11119510090982554
"1919" 721667 136887.8 3028 721666 136887.8 3027 0.11119510161714974
"1919" 721678 136888.5 3039 721677 136888.5 3038 0.11119510161714974
"1919" 721680 136888.6 3041 721679 136888.6 3040 0.11119510090982554
"1919" 721683 136888.8 3044 721682 136888.8 3043 0.11119510090982554
"1919" 721692 136889.4 3053 721691 136889.4 3052 0.11119510161714974
"1919" 721694 136889.5 3055 721693 136889.5 3054 0.11119510090982554
"1919" 721697 136889.7 3058 721696 136889.7 3057 0.11119510161714974
equal_shape_distance_same_coordinates WARNING 5922

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 5922 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`.
"29239" 2531342 160069.3 3319 2531341 160069.3 3318
"39494" 3206197 107.8 13 3206196 107.8 12
"39494" 3206215 328.2 31 3206214 328.2 30
"39494" 3206223 518.6 39 3206222 518.6 38
"39494" 3206225 590.6 41 3206224 590.6 40
"39494" 3206231 821.9 47 3206230 821.9 46
"39494" 3206251 1336.5 67 3206250 1336.5 66
"39494" 3206271 1657.1 87 3206270 1657.1 86
"39494" 3206333 1919.8 149 3206332 1919.8 148
"39494" 3206358 2502.5 174 3206357 2502.5 173
"39494" 3206363 2744.2 179 3206362 2744.2 178
"39494" 3206397 3181.8 213 3206396 3181.8 212
"39494" 3206399 3243.9 215 3206398 3243.9 214
"39493" 3205496 13.5 3 3205495 13.5 2
"39493" 3205500 203.7 7 3205499 203.7 6
"39493" 3205502 310.2 9 3205501 310.2 8
"39493" 3205517 929.5 24 3205516 929.5 23
"39493" 3205530 1963.4 37 3205529 1963.4 36
"39493" 3205536 2299.6 43 3205535 2299.6 42
"39493" 3205539 2355.9 46 3205538 2355.9 45
"39493" 3205570 3212.4 77 3205569 3212.4 76
"39493" 3205600 4660.8 107 3205599 4660.8 106
"39493" 3205608 5040.0 115 3205607 5040.0 114
"39493" 3205646 6646.2 153 3205645 6646.2 152
"39493" 3205673 7734.4 180 3205672 7734.4 179
"39493" 3205699 9284.5 206 3205698 9284.5 205
"39493" 3205712 10082.2 219 3205711 10082.2 218
"39493" 3205761 12699.8 268 3205760 12699.8 267
"39493" 3205764 12732.4 271 3205763 12732.4 270
"39493" 3205787 13905.6 294 3205786 13905.6 293
"39493" 3205807 14753.0 314 3205806 14753.0 313
"39493" 3205835 16596.6 342 3205834 16596.6 341
"39493" 3205837 16611.4 344 3205836 16611.4 343
"39493" 3205839 16626.3 346 3205838 16626.3 345
"39493" 3205856 17991.4 363 3205855 17991.4 362
"39493" 3205859 18104.1 366 3205858 18104.1 365
"39493" 3205861 18296.4 368 3205860 18296.4 367
"39493" 3205918 20801.0 425 3205917 20801.0 424
"39493" 3205922 20881.0 429 3205921 20881.0 428
"39493" 3205936 21759.0 443 3205935 21759.0 442
"39493" 3205975 24037.7 482 3205974 24037.7 481
"39493" 3205977 24063.5 484 3205976 24063.5 483
"39493" 3205979 24089.4 486 3205978 24089.4 485
"39493" 3205981 24152.7 488 3205980 24152.7 487
"39493" 3205992 24665.2 499 3205991 24665.2 498
"39493" 3206045 28255.3 552 3206044 28255.3 551
"39493" 3206050 28657.4 557 3206049 28657.4 556
"39493" 3206080 30072.8 587 3206079 30072.8 586
"39493" 3206098 30656.3 605 3206097 30656.3 604
"39493" 3206153 32792.5 660 3206152 32792.5 659
expired_calendar WARNING 21

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.
57 "1461"
465 "60974"
1283 "60986"
1767 "60985"
1067 "47985"
1878 "678"
574 "60890"
1958 "703"
1332 "48071"
25 "48073"
689 "60996"
2094 "60992"
1331 "48062"
805 "48492"
17 "43774"
244 "1256"
1880 "860"
1902 "24602"
1622 "48594"
1041 "973"
295 "60347"
missing_bike_allowance WARNING 118

missing_bike_allowance

Ferry trips should include bike allowance information.

All ferry trips should have a valid value in the bikes_allowed field in trips.txt.

You can see more about this notice here.

Only the first 50 of 118 affected records are displayed below.

csvRowNumber (?) The row number of the faulty record. routeId (?) The faulty record's route id. tripId (?) The faulty record's trip id.
369 "2699" "7597140"
370 "2699" "7597141"
371 "2699" "7597142"
372 "2699" "7597143"
373 "2699" "7597144"
380 "2699" "7597145"
381 "2699" "7597146"
425 "2699" "7597147"
451 "2699" "7597148"
452 "2699" "7597149"
475 "2699" "7597128"
476 "2699" "7597129"
477 "2699" "7597130"
478 "2699" "7597131"
479 "2699" "7597132"
517 "2699" "7597133"
518 "2699" "7597134"
519 "2699" "7597135"
520 "2699" "7597136"
521 "2699" "7597137"
522 "2699" "7597138"
523 "2699" "7597139"
8782 "2699" "7597150"
8783 "2699" "7597151"
8784 "2699" "7597153"
8785 "2699" "7597154"
8820 "2699" "7597155"
8821 "2699" "7597156"
8822 "2699" "7597157"
8823 "2699" "7597158"
8824 "2699" "7597159"
8825 "2699" "7597160"
8826 "2699" "7597161"
8859 "2699" "7597162"
8860 "2699" "7597163"
8923 "2699" "7597164"
8929 "2699" "7597165"
8933 "2699" "7597166"
8934 "2699" "7597167"
9183 "2699" "7597125"
9188 "2699" "7597126"
9189 "2699" "7597127"
18775 "2699" "7597203"
18778 "2699" "7597204"
18954 "2699" "7597205"
18955 "2699" "7597206"
18956 "2699" "7597207"
18957 "2699" "7597208"
19100 "2699" "7597209"
19101 "2699" "7597210"
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 100000

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 100000 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 208

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.

Only the first 50 of 208 affected records are displayed below.

filename (?) Name of the faulty file. fieldName (?) Name of the faulty field. fieldValue (?) Faulty value. csvRowNumber (?) The row number of the faulty record.
"agency.txt" "agency_name" "UŽDAROJI AKCINĖ BENDROVĖ \"EMTRA\"" 41
"routes.txt" "route_long_name" "ŠVENČIONYS-ŠUTONYS-ŠVENČIONYS" 36
"routes.txt" "route_long_name" "JONAVA-ŠĖTA" 133
"routes.txt" "route_long_name" "ŠVENČIONYS-PABRADĖ-VILNIUS-PABRADĖ-ŠVENČIONYS" 168
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 220
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS, KANDRĖNUS, LAIČIUS" 229
"routes.txt" "route_long_name" "JONAVA-RUKLA" 279
"routes.txt" "route_long_name" "RIMKAI-MAXIMA-ŠVEICARIJA" 280
"routes.txt" "route_long_name" "JONAVA-PREIŠIOGALĖLĖ-ŽINĖNAI-JONAVA" 307
"routes.txt" "route_long_name" "JONAVA-UPININKAI" 431
"routes.txt" "route_long_name" "JONAVA-ŽINĖNAI-PREIŠIOGALĖLĖ-JONAVA" 432
"routes.txt" "route_long_name" "JONAVA-BUKONYS" 433
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER KANDRĖNUS, LAIČIUS" 477
"routes.txt" "route_long_name" "JONAVA-KAUNAS" 540
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 570
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI" 598
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 655
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 741
"routes.txt" "route_long_name" "JONAVA-ŽEIMIAI" 742
"routes.txt" "route_long_name" "JONAVA-KĖDAINIAI" 753
"routes.txt" "route_long_name" "JONAVA-JUŠKONYS" 760
"routes.txt" "route_long_name" "KUPIŠKIS - ANTAŠAVA" 834
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-JUODMENA-RIMKAI" 903
"routes.txt" "route_long_name" "JONAVA - PAGELEŽIAI" 922
"routes.txt" "route_long_name" "ŠVENČIONYS-ADUTIŠKIS-JAKELIAI-ADUTIŠKIS-ŠVENČIONYS" 948
"routes.txt" "route_long_name" "KUPIŠKIS – ŠIMONYS PER MIGONIS" 988
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS" 1040
"routes.txt" "route_long_name" "JONAVA-KULVA" 1048
"routes.txt" "route_long_name" "PASVALYS-ŽILPAMŪŠIS PER TETIRVINUS" 1052
"routes.txt" "route_long_name" "JONAVA-GAIŽIŪNŲ STOTIS" 1068
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI-BUKONYS-ŠILAI-JONAVA" 1077
"routes.txt" "route_long_name" "KUPIŠKIS – PANEVĖŽYS" 1078
"routes.txt" "route_long_name" "KUPIŠKIS – VAINIŪNIŠKIS (PER PALĖVENĖLĘ) – KUPIŠKIS" 1115
"routes.txt" "route_long_name" "PASVALYS-GULBINĖNAI PER KRINČINĄ" 1122
"routes.txt" "route_long_name" "KUPIŠKIS – LAIČIAI PER KANDRĖNUS, SKAPIŠKIO MSTL." 1191
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-GLOBOS NAMAI-RIMKAI" 1204
"routes.txt" "route_long_name" "KUPIŠKIS – SUBAČIAUS MST. PER LUKONIS" 1207
"routes.txt" "route_long_name" "JONAVA-KUIGALIAI PER NAUJASODĮ" 1231
"routes.txt" "route_long_name" "JONAVA-KULVA PER JUODMENĄ" 1232
"routes.txt" "route_long_name" "KUPIŠKIS – ALIZAVA PER PALĖVENĖLĘ – KUPIŠKIS" 1237
"routes.txt" "route_long_name" "UKMERGĖ- MIŠNIŪNAI PER LIAUŠIUS" 1243
"stops.txt" "stop_name" "9-ojo forto muziejus" 78
"stops.txt" "stop_name" "VDU klasikinio ugdymo mokykla" 121
"stops.txt" "stop_name" "140 km" 400
"stops.txt" "stop_name" "7-asis kilometras A" 488
"stops.txt" "stop_name" "4-asis fortas" 1517
"stops.txt" "stop_name" "28 - as km" 1662
"stops.txt" "stop_name" "6-asis fortas" 1935
"stops.txt" "stop_name" "16-sis kilometras" 2384
"stops.txt" "stop_name" "9 kilometras" 2476
stop_too_far_from_shape WARNING 55

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.

Only the first 50 of 55 affected records are displayed below.

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.
13475 "3636" "45756" 3510 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
13476 "3651" "45771" 3539 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
13337 "3653" "45773" 3540 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
15828 "26974" "7317012" 41490 "14216" "Glaudžiai" [55.90637400000001,21.877556999999996] 1731.1842381583824
15828 "26974" "7317012" 41491 "10163" "Glaudžiai I" [55.90637400000001,21.877556999999996] 935.5388323636666
15828 "26974" "7317012" 41506 "19491" "Plungės autobusų stotis" [55.918779,21.851513000000004] 152.03315218543798
13176 "39471" "7964640" 424844 "70878" "Šveicarija" [55.04546,24.25836] 149.18478145589043
14048 "10745" "432217" 14494 "8484" "Mokykla" [55.513561,26.317414] 128.25393944619788
12756 "29329" "7418310" 49055 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
1007 "29328" "7418309" 49032 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
11398 "37844" "7870905" 100844 "91578" "Vidgiriai (kryžkelė)" [54.525926,23.216358000000003] 264.82495354003026
16684 "37846" "7870668" 96423 "91654" "Kūlokai" [54.45108200000001,23.396507] 3297.0156004557466
11739 "9923" "432216" 14493 "9340" "Mokykla" [55.512857000000004,26.315831] 134.01174852768767
6167 "37814" "7870743" 97903 "91339" "Sūduva" [54.57502093577935,23.37188570151982] 108.83359346294479
11165 "37804" "7870904" 100837 "91578" "Vidgiriai (kryžkelė)" [54.525926,23.216358000000003] 264.82495354003026
1528 "18654" "3218451" 24716 "67434" "Geluva" [55.249732,23.511073] 140.46827403515317
730 "32206" "7476583" 55201 "48065" "Troškūnų g." [55.521214350005486,25.097709664383384] 523.8519190658676
730 "32206" "7476583" 55202 "48066" "Geležinkelio stotis" [55.526276,25.103853] 785.72734673045
730 "32206" "7476583" 55203 "48068" "Kalno parduotuvė" [55.526598,25.099623999999995] 574.8082135251354
730 "32206" "7476583" 55206 "48071" "Pušyno mikrorajonas" [55.521132,25.115296] 658.3695095777266
730 "32206" "7476583" 55211 "48070" "Žiburio g." [55.525912999999996,25.113931000000004] 146.43308427108235
13382 "3899" "46086" 3648 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
13443 "3014" "43694" 2660 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
13383 "3028" "45483" 3456 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
10563 "29420" "7429613" 49653 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
18564 "22910" "4973791" 33386 "24190" "Maldeniai" [56.08905,23.080025999999993] 114.55535215311666
13463 "4529" "46899" 4318 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
13472 "4527" "47691" 5349 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
13432 "4528" "47692" 5350 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
1716 "14622" "7150732" 39624 "14754" "Naiviai" [55.84397975379556,25.145549112350125] 765.6219655883444
4147 "18184" "2933103" 24214 "24190" "Maldeniai" [56.08905,23.080025999999993] 114.55535215311666
3026 "18185" "2933105" 24215 "24190" "Maldeniai" [56.08905,23.080025999999993] 114.55535215311666
13453 "2821" "45017" 3421 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
3429 "29615" "7432118" 50273 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
11694 "29616" "7432119" 50321 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
2124 "21886" "7847213" 93684 "5846" "Grūtas" [54.032271447911626,24.074587772943918] 103.01117636409927
805 "21885" "7846879" 89141 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
3434 "21887" "7847087" 91940 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
2146 "21891" "7846924" 89723 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
3457 "21865" "7847347" 95335 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
2173 "21872" "7847048" 91349 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
13803 "3339" "46943" 4319 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
15949 "28460" "7340051" 44160 "8316" "Tirkšlių paviljonas" [56.262579012838884,22.304642653254728] 376.76730742519857
6455 "11705" "747606" 14652 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
13052 "6511" "54507" 8799 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
13050 "6509" "54502" 8760 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
13054 "6513" "54509" 8823 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
6624 "29093" "7413976" 46863 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
6623 "29092" "7413975" 46833 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
2368 "5232" "56646" 8925 "14684" "Lieplaukalė" [55.9354974471734,21.831098374058865] 152.04079667279404
stops_match_shape_out_of_order WARNING 5

stops_match_shape_out_of_order

Two stop entries are different than their arrival-departure order defined by shapes.txt.

This could indicate a problem with the location of the stops, the path of the shape, or the sequence of the stops for their trip.

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. stopTimeCsvRowNumber1 (?) The row number of the first faulty record from `stop_times.txt`. stopId1 (?) The id of the first stop that is referred to. stopName1 (?) The name of the first stop that is referred to. match1 (?) Latitude and longitude pair of the first matching location. stopTimeCsvRowNumber2 (?) The row number of the second faulty record from `stop_times.txt`. stopId2 (?) The id of the second stop that is referred to. stopName2 (?) The name of the second stop that is referred to. match2 (?) Latitude and longitude pair of the second matching location.
14620 "13808" "1228372" 16829 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 16828 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
6088 "17480" "2657524" 22587 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 22586 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
15132 "22910" "4981065" 33946 "44981" "Apušėliai" [56.058900282912056,23.196604001375526] 33945 "23941" "Žiogai" [56.04871914929978,23.214028627477276]
19119 "35668" "7652364" 71279 "20855" "Kontariškiai" [56.04984708813942,24.383280063416947] 71278 "20829" "Smegduobių parkas" [56.056377166218944,24.39590345350891]
9560 "29102" "7413991" 46957 "71231" "Žuvintai" [54.448579423202126,23.62330650767253] 46956 "71255" "Litvanciškai" [54.41436513808293,23.67340583550103]
unknown_column INFO 33

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.
"attributions.txt" "id" 3
"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