GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2025-07-05T06:05:29+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: 39
  • Blocks: 0
  • Routes: 1068
  • Shapes: 2869
  • Stops: 10308
  • Trips: 20039

Specification Compliance report

109871 notices reported (0 errors, 109838 warnings, 33 infos)

Notice Code Severity Total
duplicate_route_name WARNING 1

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`.
549 "16052" 743 "6212" "M23" "Alytus - Punia - Butrimonys - Eigirdonys" 3 "48"
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.
"39052" 70770 17654.0 367 70769 17654.0 366 0.06308593794989874
"2328" 358776 35929.8 642 358775 35929.8 641 0.11119510090982554
"32404" 2339034 13453.5 454 2339033 13453.5 453 0.06256821099246385
"2369" 344116 63265.5 1261 344115 63265.5 1260 0.11119510090982554
"2385" 531877 69168.3 1771 531876 69168.3 1770 0.06441976500794575
"4571" 855093 11713.3 325 855092 11713.3 324 0.06234682915415588
"4571" 855094 11713.3 326 855093 11713.3 325 0.06234682915415588
"36843" 2607977 81036.6 2372 2607976 81036.6 2371 0.06230995253378047
"28733" 2090139 71509.2 1569 2090138 71509.2 1568 0.06441976500794575
"1919" 692280 136875.8 2842 692279 136875.8 2841 0.12752942403551987
"1919" 692283 136876.0 2845 692282 136876.0 2844 0.11119510090982554
"1919" 692290 136876.5 2852 692289 136876.5 2851 0.11119510232447394
"1919" 692293 136876.7 2855 692292 136876.7 2854 0.11119510161714974
"1919" 692296 136876.9 2858 692295 136876.9 2857 0.12752941555597483
"1919" 692305 136877.5 2867 692304 136877.5 2866 0.11119510090982554
"1919" 692308 136877.7 2870 692307 136877.7 2869 0.11119510161714974
"1919" 692311 136877.9 2873 692310 136877.9 2872 0.11119510090982554
"1919" 692318 136878.4 2880 692317 136878.4 2879 0.11119510090982554
"1919" 692321 136878.6 2883 692320 136878.6 2882 0.11119510161714974
"1919" 692330 136879.2 2892 692329 136879.2 2891 0.11119510090982554
"1919" 692333 136879.4 2895 692332 136879.4 2894 0.12752939825777979
"1919" 692336 136879.6 2898 692335 136879.6 2897 0.11119510161714974
"1919" 692345 136880.2 2907 692344 136880.2 2906 0.11119510161714974
"1919" 692349 136880.5 2911 692348 136880.5 2910 0.06244513630731429
"1919" 692355 136880.9 2917 692354 136880.9 2916 0.11119510161714974
"1919" 692358 136881.1 2920 692357 136881.1 2919 0.11119510090982554
"1919" 692361 136881.3 2923 692360 136881.3 2922 0.11119510090982554
"1919" 692370 136881.9 2932 692369 136881.9 2931 0.12752938095958766
"1919" 692373 136882.1 2935 692372 136882.1 2934 0.11119510161714974
"1919" 692384 136882.8 2946 692383 136882.8 2945 0.11119510161714974
"1919" 692389 136883.1 2951 692388 136883.1 2950 0.11119510161714974
"1919" 692397 136883.6 2959 692396 136883.6 2958 0.11119510090982554
"1919" 692402 136883.9 2964 692401 136883.9 2963 0.11119510090982554
"1919" 692415 136884.7 2977 692414 136884.7 2976 0.11119510161714974
"1919" 692417 136884.8 2979 692416 136884.8 2978 0.11119510090982554
"1919" 692420 136885.0 2982 692419 136885.0 2981 0.11119510161714974
"1919" 692428 136885.5 2990 692427 136885.5 2989 0.1275293557985862
"1919" 692430 136885.6 2992 692429 136885.6 2991 0.11119510161714974
"1919" 692433 136885.8 2995 692432 136885.8 2994 0.11119510090982554
"1919" 692435 136885.9 2997 692434 136885.9 2996 0.11119510232447394
"1919" 692441 136886.3 3003 692440 136886.3 3002 0.06244505260741443
"1919" 692446 136886.6 3008 692445 136886.6 3007 0.11119510161714974
"1919" 692448 136886.7 3010 692447 136886.7 3009 0.11119510090982554
"1919" 692451 136886.9 3013 692450 136886.9 3012 0.11119510090982554
"1919" 692453 136887.0 3015 692452 136887.0 3014 0.11119510090982554
"1919" 692459 136887.4 3021 692458 136887.4 3020 0.11119510090982554
"1919" 692461 136887.5 3023 692460 136887.5 3022 0.11119510161714974
"1919" 692464 136887.7 3026 692463 136887.7 3025 0.11119510090982554
"1919" 692466 136887.8 3028 692465 136887.8 3027 0.11119510161714974
"1919" 692477 136888.5 3039 692476 136888.5 3038 0.11119510161714974
equal_shape_distance_same_coordinates WARNING 5237

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 5237 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`.
"39068" 1384035 1205.5 24 1384034 1205.5 23
"39068" 1384216 12631.5 205 1384215 12631.5 204
"39068" 1384372 20843.7 361 1384371 20843.7 360
"39068" 1384526 27437.5 515 1384525 27437.5 514
"39068" 1384573 29887.0 562 1384572 29887.0 561
"39068" 1384645 32834.7 634 1384644 32834.7 633
"39068" 1384699 35707.7 688 1384698 35707.7 687
"39068" 1384780 38702.0 769 1384779 38702.0 768
"39068" 1384856 42593.6 845 1384855 42593.6 844
"39068" 1384885 44406.1 874 1384884 44406.1 873
"39068" 1384902 46457.2 891 1384901 46457.2 890
"39068" 1384957 50053.0 946 1384956 50053.0 945
"39068" 1384994 52038.7 983 1384993 52038.7 982
"39068" 1385034 54228.5 1023 1385033 54228.5 1022
"39068" 1385104 57770.6 1093 1385103 57770.6 1092
"39068" 1385172 61758.5 1161 1385171 61758.5 1160
"39068" 1385435 73543.5 1424 1385434 73543.5 1423
"39068" 1385586 76707.2 1575 1385585 76707.2 1574
"39068" 1385619 79048.7 1608 1385618 79048.7 1607
"39068" 1385675 83186.9 1664 1385674 83186.9 1663
"39068" 1385757 86670.2 1746 1385756 86670.2 1745
"39068" 1385838 88600.8 1827 1385837 88600.8 1826
"39068" 1385932 91992.0 1921 1385931 91992.0 1920
"39068" 1386054 96103.6 2043 1386053 96103.6 2042
"39068" 1386233 100996.3 2222 1386232 100996.3 2221
"39068" 1386410 107481.4 2399 1386409 107481.4 2398
"39068" 1386767 118217.0 2756 1386766 118217.0 2755
"39068" 1386932 123890.4 2921 1386931 123890.4 2920
"39068" 1387000 129182.9 2989 1386999 129182.9 2988
"39068" 1387111 134007.2 3100 1387110 134007.2 3099
"39068" 1387200 139284.0 3189 1387199 139284.0 3188
"39068" 1387284 143222.0 3273 1387283 143222.0 3272
"39068" 1387335 145499.9 3324 1387334 145499.9 3323
"39068" 1387440 147266.4 3429 1387439 147266.4 3428
"39068" 1387472 149266.7 3461 1387471 149266.7 3460
"39068" 1387606 156197.5 3595 1387605 156197.5 3594
"39068" 1387718 159334.4 3707 1387717 159334.4 3706
"39068" 1387827 165426.5 3816 1387826 165426.5 3815
"39068" 1387851 166935.7 3840 1387850 166935.7 3839
"39068" 1387977 177154.4 3966 1387976 177154.4 3965
"39068" 1388071 185229.3 4060 1388070 185229.3 4059
"39068" 1388236 195188.5 4225 1388235 195188.5 4224
"39068" 1388309 196726.1 4298 1388308 196726.1 4297
"39068" 1388644 214819.6 4633 1388643 214819.6 4632
"39068" 1388830 224192.7 4819 1388829 224192.7 4818
"39068" 1388907 227224.2 4896 1388906 227224.2 4895
"2795" 646857 137085.3 3378 646856 137085.3 3377
"40022" 766309 8825.9 273 766308 8825.9 272
"40022" 767117 51318.9 1081 767116 51318.9 1080
"40022" 767219 56436.0 1183 767218 56436.0 1182
expired_calendar WARNING 38

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.
71 "1461"
1214 "2789"
976 "2796"
1245 "60928"
1246 "60959"
1222 "44833"
986 "47985"
1728 "678"
13 "2801"
491 "2800"
1215 "2806"
1757 "44819"
525 "60890"
1743 "2848"
1230 "48071"
25 "48073"
1482 "2938"
1229 "48062"
750 "48492"
17 "43774"
240 "1256"
1216 "3047"
1751 "24602"
1483 "3086"
1502 "48594"
1741 "2688"
12 "2697"
960 "973"
14 "6675"
737 "6669"
492 "10038"
733 "2705"
490 "2713"
1212 "2726"
734 "2734"
1213 "2731"
291 "60347"
1742 "2773"
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.
1361 "2699" "7597148"
1362 "2699" "7597149"
1395 "2699" "7597125"
1397 "2699" "7597126"
1398 "2699" "7597127"
1431 "2699" "7597150"
1432 "2699" "7597151"
1433 "2699" "7597153"
1434 "2699" "7597154"
1435 "2699" "7597155"
1436 "2699" "7597156"
1437 "2699" "7597157"
1438 "2699" "7597158"
1439 "2699" "7597159"
1440 "2699" "7597160"
1441 "2699" "7597161"
1448 "2699" "7597162"
1449 "2699" "7597163"
1460 "2699" "7597164"
1464 "2699" "7597165"
1465 "2699" "7597166"
1466 "2699" "7597167"
1497 "2699" "7597147"
4521 "2699" "7597169"
12414 "2699" "7597174"
12415 "2699" "7597180"
12419 "2699" "7597181"
12420 "2699" "7597175"
12421 "2699" "7597176"
12422 "2699" "7597177"
12423 "2699" "7597178"
12669 "2699" "7597128"
12670 "2699" "7597129"
12671 "2699" "7597130"
12672 "2699" "7597131"
12673 "2699" "7597132"
12754 "2699" "7597133"
12755 "2699" "7597134"
12756 "2699" "7597135"
12757 "2699" "7597136"
12758 "2699" "7597137"
12759 "2699" "7597138"
12760 "2699" "7597139"
12767 "2699" "7597170"
12768 "2699" "7597171"
12769 "2699" "7597172"
12770 "2699" "7597173"
12834 "2699" "7597140"
12835 "2699" "7597141"
12836 "2699" "7597142"
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 245

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 245 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\"" 39
"routes.txt" "route_long_name" "ŠVENČIONYS-ŠUTONYS-ŠVENČIONYS" 11
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-GLOBOS NAMAI-RIMKAI" 25
"routes.txt" "route_long_name" "JONAVA-RUKLA" 27
"routes.txt" "route_long_name" "JONAVA-KULVA" 89
"routes.txt" "route_long_name" "JONAVA-BUKONYS" 149
"routes.txt" "route_long_name" "ŠVENČIONYS-PABRADĖ-VILNIUS-PABRADĖ-ŠVENČIONYS" 155
"routes.txt" "route_long_name" "JONAVA-PREIŠIOGALĖLĖ-ŽINĖNAI-JONAVA" 156
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS, KANDRĖNUS, LAIČIUS" 221
"routes.txt" "route_long_name" "JONAVA-KAUNAS" 289
"routes.txt" "route_long_name" "JONAVA-ŽINĖNAI-PREIŠIOGALĖLĖ-JONAVA" 294
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI-BUKONYS-ŠILAI-JONAVA" 296
"routes.txt" "route_long_name" "JONAVA-JUŠKONYS" 331
"routes.txt" "route_long_name" "RIMKAI-MAXIMA-ŠVEICARIJA" 417
"routes.txt" "route_long_name" "JONAVA-ŽEIMIAI" 426
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 439
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER KANDRĖNUS, LAIČIUS" 463
"routes.txt" "route_long_name" "JONAVA - PAGELEŽIAI" 464
"routes.txt" "route_long_name" "JONAVA - SB TAUROSTA" 467
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 558
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-JUODMENA-RIMKAI" 563
"routes.txt" "route_long_name" "JONAVA-KUIGALIAI PER NAUJASODĮ" 577
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 602
"routes.txt" "route_long_name" "JONAVA-KULVA PER JUODMENĄ" 608
"routes.txt" "route_long_name" "JONAVA-KĖDAINIAI" 692
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI" 695
"routes.txt" "route_long_name" "JONAVA-ŠĖTA" 696
"routes.txt" "route_long_name" "KUPIŠKIS - ANTAŠAVA" 708
"routes.txt" "route_long_name" "ŠVENČIONYS-ADUTIŠKIS-JAKELIAI-ADUTIŠKIS-ŠVENČIONYS" 812
"routes.txt" "route_long_name" "KUPIŠKIS – ŠIMONYS PER MIGONIS" 814
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 818
"routes.txt" "route_long_name" "KUPIŠKIS – PANEVĖŽYS" 894
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS" 898
"routes.txt" "route_long_name" "KUPIŠKIS – VAINIŪNIŠKIS (PER PALĖVENĖLĘ) – KUPIŠKIS" 952
"routes.txt" "route_long_name" "JONAVA-UPININKAI" 953
"routes.txt" "route_long_name" "KUPIŠKIS – LAIČIAI PER KANDRĖNUS, SKAPIŠKIO MSTL." 966
"routes.txt" "route_long_name" "UKMERGĖ- MIŠNIŪNAI PER LIAUŠIUS" 967
"routes.txt" "route_long_name" "KUPIŠKIS – ALIZAVA PER PALĖVENĖLĘ – KUPIŠKIS" 1031
"routes.txt" "route_long_name" "KUPIŠKIS – SUBAČIAUS MST. PER LUKONIS" 1052
"stops.txt" "stop_name" "140 km" 303
"stops.txt" "stop_name" "VDU klasikinio ugdymo mokykla" 579
"stops.txt" "stop_name" "9-ojo forto muziejus" 715
"stops.txt" "stop_name" "7-asis kilometras A" 737
"stops.txt" "stop_name" "28 - as km" 1453
"stops.txt" "stop_name" "HARJU ELEKTER UAB" 1502
"stops.txt" "stop_name" "4-asis fortas" 1923
"stops.txt" "stop_name" "6-asis fortas" 2048
"stops.txt" "stop_name" "16-sis kilometras" 2202
"stops.txt" "stop_name" "9 kilometras" 2219
"stops.txt" "stop_name" "kulniškiai" 3077
stop_too_far_from_shape WARNING 53

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 53 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.
16225 "3636" "45756" 2863 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
16226 "3651" "45771" 2892 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
15862 "3653" "45773" 2893 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
16213 "4529" "46899" 3671 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
16222 "4527" "47691" 4702 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
16187 "4528" "47692" 4703 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
5728 "14622" "7150732" 28698 "14754" "Naiviai" [55.84397975379556,25.145549112350125] 765.6219655883444
8819 "18184" "2933103" 17792 "24190" "Maldeniai" [56.08905,23.080025999999993] 114.55535215311666
8794 "18185" "2933105" 17793 "24190" "Maldeniai" [56.08905,23.080025999999993] 114.55535215311666
13662 "26974" "7317010" 30022 "14216" "Glaudžiai" [55.90637400000001,21.877556999999996] 1731.1842381583824
13662 "26974" "7317010" 30023 "10163" "Glaudžiai I" [55.90637400000001,21.877556999999996] 935.5388323636666
13662 "26974" "7317010" 30038 "19491" "Plungės autobusų stotis" [55.918779,21.851513000000004] 152.03315218543798
16203 "2821" "45017" 2787 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
8499 "29615" "7432118" 37281 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
14706 "29616" "7432119" 37329 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
7470 "21886" "7847213" 69068 "5846" "Grūtas" [54.032271447911626,24.074587772943918] 103.01117636409927
6433 "21885" "7846879" 64525 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
8504 "21887" "7847087" 67324 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
7492 "21891" "7846924" 65107 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
8527 "21865" "7847347" 70719 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
7628 "21872" "7847048" 66733 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
17006 "10745" "432217" 10276 "8484" "Mokykla" [55.513561,26.317414] 128.25393944619788
14557 "29329" "7418310" 36139 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
5367 "29328" "7418309" 36116 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
16528 "3339" "46943" 3672 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
5523 "37844" "7870877" 75701 "91578" "Vidgiriai (kryžkelė)" [54.525926,23.216358000000003] 264.82495354003026
2091 "37846" "7870668" 71807 "91654" "Kūlokai" [54.45108200000001,23.396507] 3297.0156004557466
13798 "9923" "432216" 10275 "9340" "Mokykla" [55.512857000000004,26.315831] 134.01174852768767
10525 "37814" "7870743" 73287 "91339" "Sūduva" [54.57502093577935,23.37188570151982] 108.83359346294479
5522 "37804" "7870876" 75694 "91578" "Vidgiriai (kryžkelė)" [54.525926,23.216358000000003] 264.82495354003026
6579 "18654" "3218451" 18294 "67434" "Geluva" [55.249732,23.511073] 140.46827403515317
1896 "28460" "7340053" 32399 "8316" "Tirkšlių paviljonas" [56.262579012838884,22.304642653254728] 376.76730742519857
2553 "32206" "7476583" 40973 "48065" "Troškūnų g." [55.521214350005486,25.097709664383384] 523.8519190658676
2553 "32206" "7476583" 40974 "48066" "Geležinkelio stotis" [55.526276,25.103853] 785.72734673045
2553 "32206" "7476583" 40975 "48068" "Kalno parduotuvė" [55.526598,25.099623999999995] 574.8082135251354
2553 "32206" "7476583" 40978 "48071" "Pušyno mikrorajonas" [55.521132,25.115296] 658.3695095777266
2553 "32206" "7476583" 40983 "48070" "Žiburio g." [55.525912999999996,25.113931000000004] 146.43308427108235
16143 "3899" "46086" 3001 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
10674 "11705" "747606" 10434 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
15907 "6511" "54507" 7864 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
15543 "6509" "54501" 7810 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
15909 "6513" "54509" 7888 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
16193 "3014" "43694" 2026 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
6014 "29093" "7413976" 33979 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
6013 "29092" "7413975" 33949 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
16315 "5232" "56646" 7990 "14684" "Lieplaukalė" [55.9354974471734,21.831098374058865] 152.04079667279404
5133 "29420" "7429613" 36737 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
1560 "40215" "8004225" 415227 "70878" "Šveicarija" [55.04546,24.25836] 149.18478145589043
16204 "3514" "45563" 2810 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
15860 "3537" "45591" 2835 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
stops_match_shape_out_of_order WARNING 4

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.
17962 "13808" "1228372" 12050 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 12049 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
10191 "17480" "2657524" 16200 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 16199 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
14087 "29102" "7413991" 34073 "71231" "Žuvintai" [54.448579423202126,23.62330650767253] 34072 "71255" "Litvanciškai" [54.41436513808293,23.67340583550103]
18108 "22910" "4981065" 25660 "44981" "Apušėliai" [56.058900282912056,23.196604001375526] 25659 "23941" "Žiogai" [56.04871914929978,23.214028627477276]
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