GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2026-04-22T06:05:29+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: 51
  • Blocks: 0
  • Routes: 1361
  • Shapes: 3608
  • Stops: 14160
  • Trips: 28183

Specification Compliance report

109773 notices reported (0 errors, 109740 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`.
179 "18329" 304 "6209" "M1" "Alytus - Geniai" 3 "48"
169 "20727" 671 "20726" "M-152" "Kauno g.-Poliklinika-Birštono seniūnija" 3 "58"
674 "16052" 948 "6212" "M23" "Alytus - Punia - Butrimonys - Eigirdonys" 3 "48"
468 "3645" 1212 "8681" "144" "Vilnius (Žalgirio stotelė) – Nemenčinė per Pikeliškes" 3 "53"
equal_shape_distance_diff_coordinates_distance_below_threshold WARNING 48

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" 321620 29882.7 878 321619 29882.7 877 0.12791084993239907
"3659" 316670 49657.5 1177 316669 49657.5 1176 0.12791084993239907
"42205" 1970421 57850.1 335 1970420 57850.1 334 0.06178544815632574
"9899" 687981 10140.5 535 687980 10140.5 534 0.06374919783940136
"7246" 790634 67609.0 1511 790633 67609.0 1510 0.11119510090982554
"36319" 876090 31015.9 528 876089 31015.9 527 0.0623586881758763
"36317" 1625170 38911.6 654 1625169 38911.6 653 0.0623586881758763
"38950" 1823253 11713.3 325 1823252 11713.3 324 0.06234682915415588
"38950" 1823254 11713.3 326 1823253 11713.3 325 0.06234682915415588
"3712" 339601 11159.7 339 339600 11159.7 338 0.12791084993239907
"11231" 11915 37139.9 834 11914 37139.9 833 0.0636527781910892
"7377" 712563 27067.3 649 712562 27067.3 648 0.12791084993239907
"46694" 2017819 23752.8 557 2017818 23752.8 556 0.06193557554384503
"18612" 1087762 37006.9 870 1087761 37006.9 869 0.0636527781910892
"12645" 915658 11954.2 545 915657 11954.2 544 0.06437323893721987
"37003" 86183 22299.5 518 86182 22299.5 517 0.0635133278590634
"3116" 358006 24215.5 136 358005 24215.5 135 0.06303814001271353
"34101" 1545184 3241.6 163 1545183 3241.6 162 0.0623586881758763
"15821" 1006084 20596.5 662 1006083 20596.5 661 0.12801541284872414
"34067" 1183993 49177.4 805 1183992 49177.4 804 0.0623586881758763
"44279" 962838 12494.9 411 962837 12494.9 410 0.061754062897733865
"34096" 1544388 3241.6 163 1544387 3241.6 162 0.0623586881758763
"34086" 1170266 3793.2 180 1170265 3793.2 179 0.0623586881758763
"34086" 1170812 17842.1 726 1170811 17842.1 725 0.06236154185211733
"34084" 839008 3793.2 180 839007 3793.2 179 0.0623586881758763
"34079" 874314 10297.4 210 874313 10297.4 209 0.06236154185211733
"39052" 87093 17654.0 367 87092 17654.0 366 0.06308593794989874
"32404" 1508199 13453.5 454 1508198 13453.5 453 0.06256821099246385
"20409" 1262220 20881.2 405 1262219 20881.2 404 0.06200667717945432
"20408" 1261399 6611.0 219 1261398 6611.0 218 0.06200667717945432
"4571" 504994 11713.3 325 504993 11713.3 324 0.06234682915415588
"4571" 504995 11713.3 326 504994 11713.3 325 0.06234682915415588
"47474" 1947836 22362.6 555 1947835 22362.6 554 0.0623586881758763
"47449" 1749382 16956.1 469 1749381 16956.1 468 0.06193557554384503
"35667" 1640102 5114.4 147 1640101 5114.4 146 0.12737703146093737
"6592" 601537 37595.4 841 601536 37595.4 840 0.12791084993239907
"33918" 1573024 12783.1 436 1573023 12783.1 435 0.06386439485468
"15279" 1083653 11652.3 181 1083652 11652.3 180 0.06234682915415588
"7096" 587654 11652.3 181 587653 11652.3 180 0.06234682915415588
"3515" 324880 11159.7 339 324879 11159.7 338 0.12791084993239907
"4871" 521180 11713.3 325 521179 11713.3 324 0.06234682915415588
"4871" 521181 11713.3 326 521180 11713.3 325 0.06234682915415588
"3550" 285862 11159.7 339 285861 11159.7 338 0.12791084993239907
"4878" 529581 11713.3 325 529580 11713.3 324 0.06234682915415588
"4878" 529582 11713.3 326 529581 11713.3 325 0.06234682915415588
"38905" 1819788 11713.3 325 1819787 11713.3 324 0.06234682915415588
"4912" 535829 11713.3 325 535828 11713.3 324 0.06234682915415588
"4912" 535830 11713.3 326 535829 11713.3 325 0.06234682915415588
equal_shape_distance_same_coordinates WARNING 9219

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 9219 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" 1798692 350.5 28 1798691 350.5 27
"43541" 1798703 811.7 39 1798702 811.7 38
"43541" 1798742 1779.8 78 1798741 1779.8 77
"43541" 1798786 3184.3 122 1798785 3184.3 121
"43541" 1798819 4418.1 155 1798818 4418.1 154
"43541" 1798835 4854.6 171 1798834 4854.6 170
"43541" 1798884 6561.9 220 1798883 6561.9 219
"43541" 1798920 7544.1 256 1798919 7544.1 255
"43541" 1798959 8757.6 295 1798958 8757.6 294
"43541" 1798976 9358.6 312 1798975 9358.6 311
"43541" 1799003 9709.1 339 1799002 9709.1 338
"43541" 1799049 10376.7 385 1799048 10376.7 384
"43541" 1799102 11116.1 438 1799101 11116.1 437
"43541" 1799133 11700.4 469 1799132 11700.4 468
"43541" 1799164 12284.8 500 1799163 12284.8 499
"43541" 1799425 14358.7 761 1799424 14358.7 760
"43541" 1799501 14706.8 837 1799500 14706.8 836
"43541" 1799601 15301.6 937 1799600 15301.6 936
"43541" 1799701 15896.4 1037 1799700 15896.4 1036
"43541" 1799777 16244.5 1113 1799776 16244.5 1112
"43541" 1799975 17133.2 1311 1799974 17133.2 1310
"43541" 1800218 18161.9 1554 1800217 18161.9 1553
"43541" 1800243 18472.3 1579 1800242 18472.3 1578
"43541" 1800293 18976.3 1629 1800292 18976.3 1628
"43541" 1800440 19673.4 1776 1800439 19673.4 1775
"43541" 1800669 21285.9 2005 1800668 21285.9 2004
"43541" 1800745 22756.6 2081 1800744 22756.6 2080
"43541" 1800821 24227.3 2157 1800820 24227.3 2156
"43541" 1800860 24719.6 2196 1800859 24719.6 2195
"43541" 1800877 25292.2 2213 1800876 25292.2 2212
"43541" 1800896 25625.9 2232 1800895 25625.9 2231
"43541" 1800984 26736.7 2320 1800983 26736.7 2319
"43541" 1801071 27236.5 2407 1801070 27236.5 2406
"43541" 1801120 28436.1 2456 1801119 28436.1 2455
"43541" 1801159 28928.5 2495 1801158 28928.5 2494
"43541" 1801210 29639.4 2546 1801209 29639.4 2545
"43541" 1801441 30811.2 2777 1801440 30811.2 2776
"43541" 1801517 31159.3 2853 1801516 31159.3 2852
"43541" 1801617 31754.1 2953 1801616 31754.1 2952
"43541" 1801717 32348.9 3053 1801716 32348.9 3052
"43541" 1801793 32697.0 3129 1801792 32697.0 3128
"43541" 1801991 33585.6 3327 1801990 33585.6 3326
"43541" 1802275 35228.5 3611 1802274 35228.5 3610
"43541" 1802328 35967.9 3664 1802327 35967.9 3663
"43541" 1802359 36552.2 3695 1802358 36552.2 3694
"43541" 1802390 37136.6 3726 1802389 37136.6 3725
"43531" 1316134 1036.1 44 1316133 1036.1 43
"43531" 1316163 1669.1 73 1316162 1669.1 72
"43531" 1316190 2285.2 100 1316189 2285.2 99
"43531" 1316231 4091.8 141 1316230 4091.8 140
expired_calendar WARNING 70

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 70 affected records are displayed below.

csvRowNumber (?) The row of the faulty record. serviceId (?) The service id of the faulty record.
6 "1076"
8060 "13743"
2018 "73341"
4000 "2499"
11022 "72148"
1969 "1256"
1966 "1271"
8025 "1294"
2 "1339"
3997 "2685"
13914 "12709"
6030 "1379"
8051 "2737"
12485 "61661"
10034 "2766"
8 "1461"
10046 "47502"
11934 "2814"
8055 "2849"
8056 "2852"
6219 "59433"
10036 "2850"
6045 "2980"
10035 "2975"
3998 "2974"
11933 "2972"
8266 "60778"
13908 "1954"
11942 "20239"
13917 "20237"
4514 "67244"
14400 "67255"
6548 "67252"
13916 "17222"
11940 "31530"
11501 "90004"
10041 "17343"
13903 "678"
8024 "973"
42 "76307"
11968 "76308"
43 "76309"
4674 "65845"
13911 "3000"
3999 "3012"
15381 "89998"
13918 "13033"
1978 "13105"
10069 "76816"
9233 "76868"
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.
8519 "21_APNV_416-45-3-250526-ab-1310" "17272" 196.9887428340989 3.283145713901648 159088 17 "99227" "Krekenava" "14:03:00" 159089 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.
3409 "2699" "7597164"
3419 "2699" "7597176"
3437 "2699" "7597137"
3469 "2699" "7597197"
3519 "2699" "7597199"
3554 "2699" "7597200"
3666 "2699" "7597209"
3704 "2699" "7597189"
3719 "2699" "7597195"
3766 "2699" "7597170"
3802 "2699" "7597140"
3902 "2699" "7597135"
3906 "2699" "7597165"
3985 "2699" "7597174"
3993 "2699" "7597139"
4006 "2699" "7597171"
4062 "2699" "7597132"
4115 "2699" "7597191"
4119 "2699" "7597133"
4219 "2699" "7597160"
4319 "2699" "7597169"
4455 "2699" "7597147"
4653 "2699" "7597183"
4698 "2699" "7597196"
4717 "2699" "7597144"
4843 "2699" "7597128"
4863 "2699" "7597186"
4886 "2699" "7597180"
4963 "2699" "7597148"
5002 "2699" "7597194"
5013 "2699" "7597131"
5030 "2699" "7597163"
5165 "2699" "7597192"
5284 "2699" "7597212"
5383 "2699" "7597155"
5412 "2699" "7597167"
5416 "2699" "7597134"
5425 "2699" "7597206"
5430 "2699" "7597143"
5440 "2699" "7597190"
5476 "2699" "7597204"
5598 "2699" "7597146"
5697 "2699" "7597142"
5726 "2699" "7597207"
5946 "2699" "7597021"
6027 "2699" "7597198"
6219 "2699" "7597130"
6240 "2699" "7597181"
6273 "2699" "7597150"
6366 "2699" "7597184"
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 220

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 220 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\"" 51
"routes.txt" "route_long_name" "ŠVENČIONYS-ŠUTONYS-ŠVENČIONYS" 75
"routes.txt" "route_short_name" "3_VLP" 163
"routes.txt" "route_long_name" "JONAVA-GAIŽIŪNŲ STOTIS" 164
"routes.txt" "route_long_name" "JONAVA-KULVA" 165
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-JUODMENA-RIMKAI" 166
"routes.txt" "route_long_name" "RIMKAI-SKARULIŲ KAPINĖS" 168
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 170
"routes.txt" "route_long_name" "JONAVA-KUIGALIAI PER NAUJASODĮ" 171
"routes.txt" "route_long_name" "JONAVA-PREIŠIOGALĖLĖ-ŽINĖNAI-JONAVA" 172
"routes.txt" "route_long_name" "ŠVENČIONYS-PABRADĖ-VILNIUS-PABRADĖ-ŠVENČIONYS" 200
"routes.txt" "route_long_name" "ŽELVA - PUSNĖ" 239
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS, KANDRĖNUS, LAIČIUS" 241
"routes.txt" "route_short_name" "40-DT" 315
"routes.txt" "route_short_name" "5_VLP" 345
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 346
"routes.txt" "route_long_name" "JONAVA-RUKLA" 347
"routes.txt" "route_long_name" "JONAVA-JUŠKONYS" 348
"routes.txt" "route_long_name" "JONAVA-KULVA PER JUODMENĄ" 350
"routes.txt" "route_short_name" "94AT" 460
"routes.txt" "route_long_name" "JONAVA-ŽINĖNAI-PREIŠIOGALĖLĖ-JONAVA" 521
"routes.txt" "route_short_name" "2_VLP" 522
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER KANDRĖNUS, LAIČIUS" 540
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 545
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 551
"routes.txt" "route_short_name" "94-DC" 596
"routes.txt" "route_long_name" "RIMKAI-MAXIMA-ŠVEICARIJA" 668
"routes.txt" "route_long_name" "JONAVA-KĖDAINIAI" 669
"routes.txt" "route_long_name" "JONAVA-ŠĖTA" 670
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI-BUKONYS-ŠILAI-JONAVA" 672
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 718
"routes.txt" "route_short_name" "70AC" 771
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI" 828
"routes.txt" "route_short_name" "4_VLP" 829
"routes.txt" "route_long_name" "JONAVA-ŽEIMIAI" 830
"routes.txt" "route_long_name" "KUPIŠKIS - ANTAŠAVA" 860
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 884
"routes.txt" "route_long_name" "ŠIRVINTOS - UKMERGĖ - ŠIRVINTOS" 936
"routes.txt" "route_long_name" "JONAVA-BUKONYS" 1013
"routes.txt" "route_short_name" "1A_VLP" 1014
"routes.txt" "route_long_name" "JONAVA - PAGELEŽIAI" 1015
"routes.txt" "route_long_name" "KUPIŠKIS – ŠIMONYS PER MIGONIS" 1035
"routes.txt" "route_long_name" "ŠVENČIONYS-ADUTIŠKIS-JAKELIAI-ADUTIŠKIS-ŠVENČIONYS" 1047
"routes.txt" "route_long_name" "KUPIŠKIS – PANEVĖŽYS" 1075
"routes.txt" "route_long_name" "PASVALYS-ŽILPAMŪŠIS PER TETIRVINUS" 1105
"routes.txt" "route_long_name" "ŽELVA - KIAUKLIAI" 1130
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS" 1138
"routes.txt" "route_short_name" "50AB" 1140
"routes.txt" "route_short_name" "2A_VLP" 1175
"routes.txt" "route_long_name" "KUPIŠKIS – SUBAČIAUS MST. PER LUKONIS" 1196
stop_too_far_from_shape WARNING 45

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.
6680 "3636" "45756" 639 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
5768 "3651" "45771" 668 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
8710 "3653" "45773" 669 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
5569 "43544" "8124133" 227400 "9340" "Mokykla" [55.512857000000004,26.315831] 134.01174852768767
3737 "43548" "8124139" 227438 "8484" "Mokykla" [55.513561,26.317414] 128.25393944619788
4190 "26974" "7317016" 37833 "14216" "Glaudžiai" [55.90637400000001,21.877556999999996] 1731.1842381583824
4190 "26974" "7317016" 37834 "10163" "Glaudžiai I" [55.90637400000001,21.877556999999996] 935.5388323636666
4190 "26974" "7317016" 37849 "19491" "Plungės autobusų stotis" [55.918779,21.851513000000004] 152.03315218543798
3652 "18654" "3218451" 24994 "67434" "Geluva" [55.249732,23.511073] 140.46827403515317
3578 "32206" "7476583" 44784 "48065" "Troškūnų g." [55.521214350005486,25.097709664383384] 523.8519190658676
3578 "32206" "7476583" 44785 "48066" "Geležinkelio stotis" [55.526276,25.103853] 785.72734673045
3578 "32206" "7476583" 44786 "48068" "Kalno parduotuvė" [55.526598,25.099623999999995] 574.8082135251354
3578 "32206" "7476583" 44789 "48071" "Pušyno mikrorajonas" [55.521132,25.115296] 658.3695095777266
3578 "32206" "7476583" 44794 "48070" "Žiburio g." [55.525912999999996,25.113931000000004] 146.43308427108235
3344 "3899" "46086" 777 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
8393 "3014" "43694" 235 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
5450 "4529" "46899" 1566 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
4773 "4527" "47691" 2966 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
3583 "4528" "47692" 2967 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
3673 "14622" "7150733" 36823 "14754" "Naiviai" [55.84397975379556,25.145549112350125] 765.6219655883444
5965 "2821" "45017" 575 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
603 "21886" "60_A4-01-6-241028-ba-0730" 441109 "5846" "Grūtas" [54.032271447911626,24.074587772943918] 103.01117636409927
170 "21885" "60_A2-02-6-060404-ab-1740" 440306 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
130 "21887" "60_A2-01-7-060404-ab3-1100" 441885 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
141 "21891" "60_A2-01-7-060404-ab2-0730" 441737 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
122 "21865" "60_A2-01-7-060404-b3a-1150" 440733 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
145 "21872" "60_A2-02-6-060404-b2a-2020" 440999 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
4995 "3339" "46943" 1567 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
4946 "4710" "47248" 2207 "4945" "Onuškis" [54.48374200000001,24.591959000000003] 103.16686496628398
3403 "4711" "47251" 2232 "4945" "Onuškis" [54.48374200000001,24.591959000000003] 103.16686496628398
7270 "11705" "747606" 15792 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
6615 "6511" "54507" 8108 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
4038 "6509" "54502" 8069 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
7470 "6513" "54509" 8132 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
5253 "29093" "7413977" 40729 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
8300 "29092" "7413975" 40685 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
4486 "5232" "48165" 3313 "14684" "Lieplaukalė" [55.9354974471734,21.831098374058865] 152.04079667279404
5815 "44681" "8136902" 239247 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
5166 "3514" "45563" 586 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
4520 "3537" "45591" 611 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
4469 "17131" "2515700" 22307 "16347" "Sudervė" [54.761036,25.063001999999997] 2603.225038082936
8027 "3574" "45644" 612 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
8962 "3617" "45754" 638 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
6726 "15331" "2211799" 19842 "6964" "Mikieriai" [55.66300100000001,25.169295] 153.6142678364674
3639 "15330" "2211796" 19817 "6964" "Mikieriai" [55.66300100000001,25.169295] 153.6142678364674
stops_match_shape_out_of_order WARNING 14

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.
4273 "3645" "57657" 12115 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 12114 "12152" "Jonaičiai" [55.34641499999999,21.570023]
3910 "3667" "57730" 12254 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 12253 "13926" "Jonaičiai" [55.346103,21.568929]
4962 "3714" "57735" 12312 "13926" "Jonaičiai" [55.346103,21.568929] 12311 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
9140 "13808" "1228372" 18553 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 18552 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
5121 "26489" "7231018" 37401 "10486" "Kuršų m-la" [55.853816990580704,22.40675061105697] 37400 "7720" "Baltininkai" [55.85382305337965,22.406770171019815]
5376 "35668" "7652364" 55496 "20855" "Kontariškiai" [56.04984708813942,24.383280063416947] 55495 "20829" "Smegduobių parkas" [56.056377166218944,24.39590345350891]
4584 "28435" "7339430" 39192 "64819" "Suostas" [56.32837413018391,24.713657886432735] 39191 "16112" "Svydžiai" [56.352930797976754,24.686322368913352]
7771 "28434" "7339429" 39168 "10057" "Svydžiai" [56.35334128457164,24.685572701413516] 39167 "64820" "Suostas" [56.32837775901334,24.713656830174433]
5138 "6591" "57636" 11791 "13926" "Jonaičiai" [55.346103,21.568929] 11790 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
4185 "3554" "57643" 11919 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 11918 "12152" "Jonaičiai" [55.34641499999999,21.570023]
7842 "29102" "7413991" 40809 "71231" "Žuvintai" [54.448579423202126,23.62330650767253] 40808 "71255" "Litvanciškai" [54.41436513808293,23.67340583550103]
8148 "40377" "8016002" 93089 "72301" "Kirlikai" [55.32834500402225,21.565359093761266] 93088 "97223" "Tarvydai I" [55.328604,21.56423]
3349 "40378" "8016003" 93098 "71683" "Tarvydai II" [55.31814711876975,21.598011981975805] 93097 "97223" "Tarvydai I" [55.328604,21.56423]
3732 "5353" "57622" 11620 "13926" "Jonaičiai" [55.346103,21.568929] 11619 "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