GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2026-02-12T07:00:58+02:00,
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: 1098
  • Shapes: 3045
  • Stops: 12193
  • Trips: 20929

Specification Compliance report

111173 notices reported (0 errors, 111140 warnings, 33 infos)

Notice Code Severity Total
duplicate_route_name WARNING 4

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`.
257 "6209" 275 "18329" "M1" "Alytus - Geniai" 3 "48"
657 "16052" 740 "6212" "M23" "Alytus - Punia - Butrimonys - Eigirdonys" 3 "48"
692 "19232" 964 "19162" "M-152" "Kauno g.-Poliklinika-Birštono seniūnija" 3 "58"
319 "3645" 992 "8681" "144" "Vilnius (Žalgirio stotelė) – Nemenčinė per Pikeliškes" 3 "53"
equal_shape_distance_diff_coordinates_distance_below_threshold WARNING 42

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.

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.
"3647" 306796 29882.7 878 306795 29882.7 877 0.12791084993239907
"3659" 301846 49657.5 1177 301845 49657.5 1176 0.12791084993239907
"42205" 1633092 57850.1 335 1633091 57850.1 334 0.06178544815632574
"32404" 1284087 13453.5 454 1284086 13453.5 453 0.06256821099246385
"4571" 477731 11713.3 325 477730 11713.3 324 0.06234682915415588
"4571" 477732 11713.3 326 477731 11713.3 325 0.06234682915415588
"47474" 1615991 22362.6 555 1615990 22362.6 554 0.0623586881758763
"9899" 637072 10140.5 535 637071 10140.5 534 0.06374919783940136
"7246" 704100 67609.0 1511 704099 67609.0 1510 0.11119510090982554
"47449" 1419879 16956.1 469 1419878 16956.1 468 0.06193557554384503
"36319" 785169 31015.9 528 785168 31015.9 527 0.0623586881758763
"36317" 1349882 38911.6 654 1349881 38911.6 653 0.0623586881758763
"38950" 1459881 11713.3 325 1459880 11713.3 324 0.06234682915415588
"38950" 1459882 11713.3 326 1459881 11713.3 325 0.06234682915415588
"3712" 323885 11159.7 339 323884 11159.7 338 0.12791084993239907
"11231" 11915 37139.9 834 11914 37139.9 833 0.0636527781910892
"7377" 661656 27067.3 649 661655 27067.3 648 0.12791084993239907
"46694" 1647981 23752.8 557 1647980 23752.8 556 0.06193557554384503
"18612" 964038 37006.9 870 964037 37006.9 869 0.0636527781910892
"6592" 556972 37595.4 841 556971 37595.4 840 0.12791084993239907
"33918" 1326475 12783.1 436 1326474 12783.1 435 0.06386439485468
"15279" 959929 11652.3 181 959928 11652.3 180 0.06234682915415588
"37003" 73592 22299.5 518 73591 22299.5 517 0.0635133278590634
"7096" 546025 11652.3 181 546024 11652.3 180 0.06234682915415588
"3515" 309164 11159.7 339 309163 11159.7 338 0.12791084993239907
"4871" 489676 11713.3 325 489675 11713.3 324 0.06234682915415588
"4871" 489677 11713.3 326 489676 11713.3 325 0.06234682915415588
"3550" 271476 11159.7 339 271475 11159.7 338 0.12791084993239907
"4878" 496583 11713.3 325 496582 11713.3 324 0.06234682915415588
"4878" 496584 11713.3 326 496583 11713.3 325 0.06234682915415588
"3116" 341429 24215.5 136 341428 24215.5 135 0.06303814001271353
"34101" 1302655 3241.6 163 1302654 3241.6 162 0.0623586881758763
"38905" 1459142 11713.3 325 1459141 11713.3 324 0.06234682915415588
"34067" 1042438 49177.4 805 1042437 49177.4 804 0.0623586881758763
"44279" 847027 12494.9 411 847026 12494.9 410 0.061754062897733865
"4912" 502156 11713.3 325 502155 11713.3 324 0.06234682915415588
"4912" 502157 11713.3 326 502156 11713.3 325 0.06234682915415588
"34096" 1301859 3241.6 163 1301858 3241.6 162 0.0623586881758763
"34086" 1028830 3793.2 180 1028829 3793.2 179 0.0623586881758763
"34086" 1029376 17842.1 726 1029375 17842.1 725 0.06236154185211733
"34084" 752945 3793.2 180 752944 3793.2 179 0.0623586881758763
"34079" 783393 10297.4 210 783392 10297.4 209 0.06236154185211733
equal_shape_distance_same_coordinates WARNING 9853

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 9853 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`.
"43541" 1439655 350.5 28 1439654 350.5 27
"43541" 1439666 811.7 39 1439665 811.7 38
"43541" 1439705 1779.8 78 1439704 1779.8 77
"43541" 1439749 3184.3 122 1439748 3184.3 121
"43541" 1439782 4418.1 155 1439781 4418.1 154
"43541" 1439798 4854.6 171 1439797 4854.6 170
"43541" 1439847 6561.9 220 1439846 6561.9 219
"43541" 1439883 7544.1 256 1439882 7544.1 255
"43541" 1439922 8757.6 295 1439921 8757.6 294
"43541" 1439939 9358.6 312 1439938 9358.6 311
"43541" 1439966 9709.1 339 1439965 9709.1 338
"43541" 1440012 10376.7 385 1440011 10376.7 384
"43541" 1440065 11116.1 438 1440064 11116.1 437
"43541" 1440096 11700.4 469 1440095 11700.4 468
"43541" 1440127 12284.8 500 1440126 12284.8 499
"43541" 1440388 14358.7 761 1440387 14358.7 760
"43541" 1440464 14706.8 837 1440463 14706.8 836
"43541" 1440564 15301.6 937 1440563 15301.6 936
"43541" 1440664 15896.4 1037 1440663 15896.4 1036
"43541" 1440740 16244.5 1113 1440739 16244.5 1112
"43541" 1440938 17133.2 1311 1440937 17133.2 1310
"43541" 1441181 18161.9 1554 1441180 18161.9 1553
"43541" 1441206 18472.3 1579 1441205 18472.3 1578
"43541" 1441256 18976.3 1629 1441255 18976.3 1628
"43541" 1441403 19673.4 1776 1441402 19673.4 1775
"43541" 1441632 21285.9 2005 1441631 21285.9 2004
"43541" 1441708 22756.6 2081 1441707 22756.6 2080
"43541" 1441784 24227.3 2157 1441783 24227.3 2156
"43541" 1441823 24719.6 2196 1441822 24719.6 2195
"43541" 1441840 25292.2 2213 1441839 25292.2 2212
"43541" 1441859 25625.9 2232 1441858 25625.9 2231
"43541" 1441947 26736.7 2320 1441946 26736.7 2319
"43541" 1442034 27236.5 2407 1442033 27236.5 2406
"43541" 1442083 28436.1 2456 1442082 28436.1 2455
"43541" 1442122 28928.5 2495 1442121 28928.5 2494
"43541" 1442173 29639.4 2546 1442172 29639.4 2545
"43541" 1442404 30811.2 2777 1442403 30811.2 2776
"43541" 1442480 31159.3 2853 1442479 31159.3 2852
"43541" 1442580 31754.1 2953 1442579 31754.1 2952
"43541" 1442680 32348.9 3053 1442679 32348.9 3052
"43541" 1442756 32697.0 3129 1442755 32697.0 3128
"43541" 1442954 33585.6 3327 1442953 33585.6 3326
"43541" 1443238 35228.5 3611 1443237 35228.5 3610
"43541" 1443291 35967.9 3664 1443290 35967.9 3663
"43541" 1443322 36552.2 3695 1443321 36552.2 3694
"43541" 1443353 37136.6 3726 1443352 37136.6 3725
"45714" 1648775 5262.9 134 1648774 5262.9 133
"45714" 1648955 12163.9 314 1648954 12163.9 313
"45714" 1649024 16865.9 383 1649023 16865.9 382
"45714" 1649070 19355.8 429 1649069 19355.8 428
expired_calendar WARNING 59

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.

Only the first 50 of 59 affected records are displayed below.

csvRowNumber (?) The row of the faulty record. serviceId (?) The service id of the faulty record.
6 "1076"
9243 "13743"
2317 "73341"
4551 "2499"
2274 "1256"
2271 "1271"
9208 "1294"
2 "1339"
4548 "2685"
16062 "12709"
6874 "1379"
9234 "2737"
11544 "2766"
7 "1461"
11556 "47502"
13791 "2814"
9238 "2849"
9239 "2852"
11546 "2850"
6889 "2980"
11545 "2975"
4549 "2974"
13790 "2972"
16056 "1954"
13799 "20239"
16065 "20237"
6989 "79017"
16064 "17222"
13797 "31530"
11551 "17343"
16051 "678"
9207 "973"
52 "76307"
13831 "76308"
53 "76309"
16165 "65889"
16059 "3000"
4550 "3012"
16066 "13033"
2281 "13105"
11599 "76816"
10 "2009"
12 "2022"
9226 "2066"
6887 "2111"
11543 "2123"
9228 "2137"
4542 "2158"
4545 "2175"
4546 "2173"
fast_travel_between_consecutive_stops WARNING 1

fast_travel_between_consecutive_stops

A transit vehicle moves too fast between two consecutive stops.

The speed threshold depends on route type:

Route type Description Threshold, km/h
0 Light rail 100
1 Subway 150
2 Rail 500
3 Bus 150
4 Ferry 80
5 Cable tram 30
6 Aerial lift 50
7 Funicular 50
11 Trolleybus 150
12 Monorail 150
- Unknown 200

You can see more about this notice here.

tripCsvRowNumber (?) The row number of the problematic trip. tripId (?) `trip_id` of the problematic trip. routeId (?) `route_id` of the problematic trip. speedKph (?) Travel speed (km/h). distanceKm (?) Distance between stops (km). csvRowNumber1 (?) The row number of the first stop time. stopSequence1 (?) `stop_sequence` of the first stop. stopId1 (?) `stop_id` of the first stop. stopName1 (?) `stop_name` of the first stop. departureTime1 (?) `departure_time` of the first stop. csvRowNumber2 (?) The row number of the second stop time. stopSequence2 (?) `stop_sequence` of the second stop. stopId2 (?) `stop_id` of the second stop. stopName2 (?) `stop_name` of the second stop. arrivalTime2 (?) `arrival_time` of the second stop.
597 "21_APNV_416-45-3-250526-ab-1310" "17272" 196.9887428340989 3.283145713901648 193907 17 "99227" "Krekenava" "14:03:00" 193908 18 "99243" "Rabikiai" "14:03:00"
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.
3165 "2699" "7597184"
3315 "2699" "7597202"
3388 "2699" "7597170"
3414 "2699" "7597140"
3517 "2699" "7597125"
3581 "2699" "7597210"
3586 "2699" "7597201"
3587 "2699" "7597172"
3613 "2699" "7597191"
3616 "2699" "7597133"
3675 "2699" "7597136"
3705 "2699" "7597211"
3760 "2699" "7597164"
3767 "2699" "7597176"
3783 "2699" "7597137"
3818 "2699" "7597147"
3879 "2699" "7597130"
3884 "2699" "7597208"
3922 "2699" "7597187"
3953 "2699" "7597156"
4049 "2699" "7597181"
4072 "2699" "7597150"
4201 "2699" "7597209"
4231 "2699" "7597189"
4243 "2699" "7597195"
4316 "2699" "7597185"
4323 "2699" "7597205"
4332 "2699" "7597145"
4359 "2699" "7597128"
4372 "2699" "7597186"
4398 "2699" "7597141"
4425 "2699" "7597182"
4457 "2699" "7597171"
4501 "2699" "7597132"
4636 "2699" "7597126"
4664 "2699" "7597138"
4725 "2699" "7597196"
4742 "2699" "7597144"
4806 "2699" "7597161"
4972 "2699" "7597151"
4982 "2699" "7597197"
5021 "2699" "7597199"
5045 "2699" "7597200"
5253 "2699" "7597135"
5255 "2699" "7597165"
5362 "2699" "7597155"
5393 "2699" "7597146"
5455 "2699" "7597160"
5710 "2699" "7597174"
5717 "2699" "7597139"
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 "41891" 1
3 "41891" 2
4 "41891" 3
5 "41891" 4
6 "41891" 5
7 "41891" 6
8 "41891" 7
9 "41891" 8
10 "41891" 9
11 "42663" 1
12 "42663" 2
13 "42663" 3
14 "42663" 4
15 "42663" 5
16 "42663" 6
17 "42663" 7
18 "42663" 8
19 "42663" 9
20 "42663" 10
21 "42663" 11
22 "42663" 12
23 "42663" 13
24 "42663" 14
25 "42663" 15
26 "42665" 1
27 "42665" 2
28 "42665" 3
29 "42665" 4
30 "42665" 5
31 "42665" 6
32 "42665" 7
33 "42665" 8
34 "42665" 9
35 "43001" 1
36 "43001" 2
37 "43001" 3
38 "43001" 4
39 "43001" 5
40 "43001" 6
41 "43001" 7
42 "43001" 8
43 "43001" 9
44 "43001" 10
45 "43001" 11
46 "43001" 12
47 "43001" 13
48 "43001" 14
49 "43001" 15
50 "43001" 16
51 "43001" 17
mixed_case_recommended_field WARNING 993

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 993 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" "RIMKAI-MAXIMA-ŠVEICARIJA" 10
"routes.txt" "route_long_name" "JONAVA-ŽEIMIAI" 11
"routes.txt" "route_long_name" "ŠVENČIONYS-ŠUTONYS-ŠVENČIONYS" 58
"routes.txt" "route_long_name" "JONAVA-PREIŠIOGALĖLĖ-ŽINĖNAI-JONAVA" 121
"routes.txt" "route_short_name" "3_VLP" 134
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 149
"routes.txt" "route_long_name" "JONAVA-KAUNAS" 151
"routes.txt" "route_long_name" "JONAVA-UPININKAI" 152
"routes.txt" "route_long_name" "JONAVA-KULVA" 153
"routes.txt" "route_long_name" "JONAVA-KULVA PER JUODMENĄ" 156
"routes.txt" "route_long_name" "ŠVENČIONYS-PABRADĖ-VILNIUS-PABRADĖ-ŠVENČIONYS" 171
"routes.txt" "route_short_name" "40-DT" 231
"routes.txt" "route_long_name" "ŽELVA - PUSNĖ" 253
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS, KANDRĖNUS, LAIČIUS" 254
"routes.txt" "route_short_name" "5_VLP" 282
"routes.txt" "route_long_name" "JONAVA-ŠĖTA" 289
"routes.txt" "route_long_name" "JONAVA-JUŠKONYS" 290
"routes.txt" "route_long_name" "JONAVA-KUIGALIAI PER NAUJASODĮ" 291
"routes.txt" "route_short_name" "94AT" 405
"routes.txt" "route_long_name" "JONAVA-ŽINĖNAI-PREIŠIOGALĖLĖ-JONAVA" 411
"routes.txt" "route_short_name" "2_VLP" 422
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-GLOBOS NAMAI-RIMKAI" 433
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 465
"routes.txt" "route_short_name" "94-DC" 467
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER KANDRĖNUS, LAIČIUS" 468
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 487
"routes.txt" "route_long_name" "JONAVA-RUKLA" 553
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI" 554
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI-BUKONYS-ŠILAI-JONAVA" 555
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-JUODMENA-RIMKAI" 556
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 625
"routes.txt" "route_short_name" "70AC" 631
"routes.txt" "route_short_name" "4_VLP" 668
"routes.txt" "route_long_name" "JONAVA-GAIŽIŪNŲ STOTIS" 682
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 683
"routes.txt" "route_long_name" "KUPIŠKIS - ANTAŠAVA" 707
"routes.txt" "route_long_name" "ŠIRVINTOS - UKMERGĖ - ŠIRVINTOS" 778
"routes.txt" "route_short_name" "1A_VLP" 814
"routes.txt" "route_long_name" "JONAVA-BUKONYS" 822
"routes.txt" "route_long_name" "ŠVENČIONYS-ADUTIŠKIS-JAKELIAI-ADUTIŠKIS-ŠVENČIONYS" 846
"routes.txt" "route_long_name" "KUPIŠKIS – ŠIMONYS PER MIGONIS" 860
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS" 885
"routes.txt" "route_long_name" "KUPIŠKIS – PANEVĖŽYS" 924
"routes.txt" "route_long_name" "ŽELVA - KIAUKLIAI" 925
"routes.txt" "route_short_name" "50AB" 932
"routes.txt" "route_long_name" "JONAVA - PAGELEŽIAI" 940
"routes.txt" "route_short_name" "2A_VLP" 948
"routes.txt" "route_long_name" "JONAVA-KĖDAINIAI" 957
"routes.txt" "route_long_name" "KUPIŠKIS – ALIZAVA PER PALĖVENĖLĘ – KUPIŠKIS" 1000
stop_too_far_from_shape WARNING 57

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 57 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.
3905 "3636" "45756" 639 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
3235 "3651" "45771" 668 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
11988 "3653" "45773" 669 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
3221 "43544" "8124133" 322064 "9340" "Mokykla" [55.512857000000004,26.315831] 134.01174852768767
4259 "43548" "8124139" 322102 "8484" "Mokykla" [55.513561,26.317414] 128.25393944619788
6294 "4529" "46899" 1453 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
4933 "4527" "47691" 2528 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
5314 "4528" "47692" 2529 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
3346 "14622" "7150732" 32316 "14754" "Naiviai" [55.84397975379556,25.145549112350125] 765.6219655883444
4003 "26974" "7317015" 33219 "14216" "Glaudžiai" [55.90637400000001,21.877556999999996] 1731.1842381583824
4003 "26974" "7317015" 33220 "10163" "Glaudžiai I" [55.90637400000001,21.877556999999996] 935.5388323636666
4003 "26974" "7317015" 33235 "19491" "Plungės autobusų stotis" [55.918779,21.851513000000004] 152.03315218543798
6576 "2821" "45017" 575 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
7067 "21886" "60_A4-01-6-251110-ba-0730" 324381 "5846" "Grūtas" [54.032271447911626,24.074587772943918] 103.01117636409927
1007 "21885" "60_A2-01-6-251110-ab-0900" 324080 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
1014 "21887" "60_A2-01-7-251110-ab3-1430" 323326 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
13042 "21891" "60_A2-02-1-241209-ab2-2020" 57120 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
7493 "21865" "60_A2-01-7-251110-b3a-1150" 325235 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
1004 "21872" "60_A30-01-6-251110-b2a-1720" 324741 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
6175 "3339" "46943" 1454 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
6199 "6003" "52856" 3304 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
4399 "6005" "52858" 3313 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
6542 "6004" "52857" 3309 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
4355 "6007" "52859" 3320 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
10967 "6008" "52860" 3325 "8356" "Plinkšės" [56.146646000000004,22.177096] 708.0755710896237
5258 "16822" "2392140" 17617 "8988" "Miškų urėdija" [56.223549,23.648672] 192.32046673726916
3534 "16821" "2392135" 17551 "8988" "Miškų urėdija" [56.223549,23.648672] 192.32046673726916
3161 "16823" "2392142" 17656 "15916" "Miškų urėdija" [56.223436,23.64902] 114.43864929834778
4188 "18654" "3218451" 20406 "67434" "Geluva" [55.249732,23.511073] 140.46827403515317
5309 "32206" "7476583" 41921 "48065" "Troškūnų g." [55.521214350005486,25.097709664383384] 523.8519190658676
5309 "32206" "7476583" 41922 "48066" "Geležinkelio stotis" [55.526276,25.103853] 785.72734673045
5309 "32206" "7476583" 41923 "48068" "Kalno parduotuvė" [55.526598,25.099623999999995] 574.8082135251354
5309 "32206" "7476583" 41926 "48071" "Pušyno mikrorajonas" [55.521132,25.115296] 658.3695095777266
5309 "32206" "7476583" 41931 "48070" "Žiburio g." [55.525912999999996,25.113931000000004] 146.43308427108235
11005 "3899" "46086" 777 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
4620 "11705" "747606" 12260 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
4120 "6511" "54507" 5927 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
3709 "6509" "54501" 5873 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
4278 "6513" "54509" 5951 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
10888 "3014" "43694" 235 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
3518 "29093" "7413976" 37521 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
5097 "29092" "7413975" 37491 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
3842 "5232" "48165" 2747 "14684" "Lieplaukalė" [55.9354974471734,21.831098374058865] 152.04079667279404
13225 "37872" "61_49W" 61912 "91654" "Kūlokai" [54.450829999999996,23.395002] 3378.2526672161835
3478 "27242" "7322653" 34519 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
6054 "27240" "7322650" 34473 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
12112 "27239" "7322649" 34465 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
5947 "27236" "7322644" 34447 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
4038 "27237" "7322647" 34456 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
5913 "3514" "45563" 586 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
stops_match_shape_out_of_order WARNING 12

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.
5736 "3645" "57657" 8152 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 8151 "12152" "Jonaičiai" [55.34641499999999,21.570023]
5260 "3667" "57730" 8291 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 8290 "13926" "Jonaičiai" [55.346103,21.568929]
5170 "3714" "57736" 8365 "13926" "Jonaičiai" [55.346103,21.568929] 8364 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
11775 "13808" "1228372" 14351 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 14350 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
5680 "28435" "7339430" 35998 "64819" "Suostas" [56.32837413018391,24.713657886432735] 35997 "16112" "Svydžiai" [56.352930797976754,24.686322368913352]
3332 "28434" "7339429" 35974 "10057" "Svydžiai" [56.35334128457164,24.685572701413516] 35973 "64820" "Suostas" [56.32837775901334,24.713656830174433]
3233 "6591" "57635" 7812 "13926" "Jonaičiai" [55.346103,21.568929] 7811 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
4827 "3554" "57639" 7868 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 7867 "12152" "Jonaičiai" [55.34641499999999,21.570023]
4565 "29102" "7413991" 37615 "71231" "Žuvintai" [54.448579423202126,23.62330650767253] 37614 "71255" "Litvanciškai" [54.41436513808293,23.67340583550103]
3572 "40377" "8016002" 82508 "72301" "Kirlikai" [55.32834500402225,21.565359093761266] 82507 "97223" "Tarvydai I" [55.328604,21.56423]
3958 "40378" "8016003" 82517 "71683" "Tarvydai II" [55.31814711876975,21.598011981975805] 82516 "97223" "Tarvydai I" [55.328604,21.56423]
4255 "5353" "57622" 7657 "13926" "Jonaičiai" [55.346103,21.568929] 7656 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
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