GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2026-03-28T06:08:30+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: 52
  • Blocks: 0
  • Routes: 1406
  • Shapes: 3751
  • Stops: 15000
  • Trips: 29031

Specification Compliance report

113409 notices reported (0 errors, 113376 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`.
224 "18329" 347 "6209" "M1" "Alytus - Geniai" 3 "48"
719 "16052" 965 "6212" "M23" "Alytus - Punia - Butrimonys - Eigirdonys" 3 "48"
38 "20364" 1070 "20365" "M-152" "Kauno g.-Poliklinika-Birštono seniūnija" 3 "58"
423 "3645" 1293 "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" 315936 29882.7 878 315935 29882.7 877 0.12791084993239907
"3659" 310986 49657.5 1177 310985 49657.5 1176 0.12791084993239907
"42205" 1948407 57850.1 335 1948406 57850.1 334 0.06178544815632574
"9899" 680212 10140.5 535 680211 10140.5 534 0.06374919783940136
"7246" 781101 67609.0 1511 781100 67609.0 1510 0.11119510090982554
"36319" 866106 31015.9 528 866105 31015.9 527 0.0623586881758763
"36317" 1539454 38911.6 654 1539453 38911.6 653 0.0623586881758763
"38950" 1741218 11713.3 325 1741217 11713.3 324 0.06234682915415588
"38950" 1741219 11713.3 326 1741218 11713.3 325 0.06234682915415588
"3712" 333917 11159.7 339 333916 11159.7 338 0.12791084993239907
"11231" 11915 37139.9 834 11914 37139.9 833 0.0636527781910892
"7377" 703512 27067.3 649 703511 27067.3 648 0.12791084993239907
"46694" 2041376 23752.8 557 2041375 23752.8 556 0.06193557554384503
"18612" 1072511 37006.9 870 1072510 37006.9 869 0.0636527781910892
"12645" 905637 11954.2 545 905636 11954.2 544 0.06437323893721987
"37003" 83670 22299.5 518 83669 22299.5 517 0.0635133278590634
"3116" 352322 24215.5 136 352321 24215.5 135 0.06303814001271353
"34101" 1461197 3241.6 163 1461196 3241.6 162 0.0623586881758763
"15821" 994663 20596.5 662 994662 20596.5 661 0.12801541284872414
"34067" 1158987 49177.4 805 1158986 49177.4 804 0.0623586881758763
"44279" 950359 12494.9 411 950358 12494.9 410 0.061754062897733865
"34096" 1460401 3241.6 163 1460400 3241.6 162 0.0623586881758763
"34086" 1146385 3793.2 180 1146384 3793.2 179 0.0623586881758763
"34086" 1146931 17842.1 726 1146930 17842.1 725 0.06236154185211733
"34084" 829297 3793.2 180 829296 3793.2 179 0.0623586881758763
"34079" 864330 10297.4 210 864329 10297.4 209 0.06236154185211733
"39052" 84580 17654.0 367 84579 17654.0 366 0.06308593794989874
"32404" 1436020 13453.5 454 1436019 13453.5 453 0.06256821099246385
"20409" 1235740 20881.2 405 1235739 20881.2 404 0.06200667717945432
"20408" 1234919 6611.0 219 1234918 6611.0 218 0.06200667717945432
"4571" 497225 11713.3 325 497224 11713.3 324 0.06234682915415588
"4571" 497226 11713.3 326 497225 11713.3 325 0.06234682915415588
"47474" 1904959 22362.6 555 1904958 22362.6 554 0.0623586881758763
"47449" 1666845 16956.1 469 1666844 16956.1 468 0.06193557554384503
"35667" 1554234 5114.4 147 1554233 5114.4 146 0.12737703146093737
"6592" 593768 37595.4 841 593767 37595.4 840 0.12791084993239907
"33918" 1488714 12783.1 436 1488713 12783.1 435 0.06386439485468
"15279" 1068402 11652.3 181 1068401 11652.3 180 0.06234682915415588
"7096" 579885 11652.3 181 579884 11652.3 180 0.06234682915415588
"3515" 319196 11159.7 339 319195 11159.7 338 0.12791084993239907
"4871" 513411 11713.3 325 513410 11713.3 324 0.06234682915415588
"4871" 513412 11713.3 326 513411 11713.3 325 0.06234682915415588
"3550" 280178 11159.7 339 280177 11159.7 338 0.12791084993239907
"4878" 521812 11713.3 325 521811 11713.3 324 0.06234682915415588
"4878" 521813 11713.3 326 521812 11713.3 325 0.06234682915415588
"38905" 1737753 11713.3 325 1737752 11713.3 324 0.06234682915415588
"4912" 528060 11713.3 325 528059 11713.3 324 0.06234682915415588
"4912" 528061 11713.3 326 528060 11713.3 325 0.06234682915415588
equal_shape_distance_same_coordinates WARNING 12765

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 12765 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" 1716389 350.5 28 1716388 350.5 27
"43541" 1716400 811.7 39 1716399 811.7 38
"43541" 1716439 1779.8 78 1716438 1779.8 77
"43541" 1716483 3184.3 122 1716482 3184.3 121
"43541" 1716516 4418.1 155 1716515 4418.1 154
"43541" 1716532 4854.6 171 1716531 4854.6 170
"43541" 1716581 6561.9 220 1716580 6561.9 219
"43541" 1716617 7544.1 256 1716616 7544.1 255
"43541" 1716656 8757.6 295 1716655 8757.6 294
"43541" 1716673 9358.6 312 1716672 9358.6 311
"43541" 1716700 9709.1 339 1716699 9709.1 338
"43541" 1716746 10376.7 385 1716745 10376.7 384
"43541" 1716799 11116.1 438 1716798 11116.1 437
"43541" 1716830 11700.4 469 1716829 11700.4 468
"43541" 1716861 12284.8 500 1716860 12284.8 499
"43541" 1717122 14358.7 761 1717121 14358.7 760
"43541" 1717198 14706.8 837 1717197 14706.8 836
"43541" 1717298 15301.6 937 1717297 15301.6 936
"43541" 1717398 15896.4 1037 1717397 15896.4 1036
"43541" 1717474 16244.5 1113 1717473 16244.5 1112
"43541" 1717672 17133.2 1311 1717671 17133.2 1310
"43541" 1717915 18161.9 1554 1717914 18161.9 1553
"43541" 1717940 18472.3 1579 1717939 18472.3 1578
"43541" 1717990 18976.3 1629 1717989 18976.3 1628
"43541" 1718137 19673.4 1776 1718136 19673.4 1775
"43541" 1718366 21285.9 2005 1718365 21285.9 2004
"43541" 1718442 22756.6 2081 1718441 22756.6 2080
"43541" 1718518 24227.3 2157 1718517 24227.3 2156
"43541" 1718557 24719.6 2196 1718556 24719.6 2195
"43541" 1718574 25292.2 2213 1718573 25292.2 2212
"43541" 1718593 25625.9 2232 1718592 25625.9 2231
"43541" 1718681 26736.7 2320 1718680 26736.7 2319
"43541" 1718768 27236.5 2407 1718767 27236.5 2406
"43541" 1718817 28436.1 2456 1718816 28436.1 2455
"43541" 1718856 28928.5 2495 1718855 28928.5 2494
"43541" 1718907 29639.4 2546 1718906 29639.4 2545
"43541" 1719138 30811.2 2777 1719137 30811.2 2776
"43541" 1719214 31159.3 2853 1719213 31159.3 2852
"43541" 1719314 31754.1 2953 1719313 31754.1 2952
"43541" 1719414 32348.9 3053 1719413 32348.9 3052
"43541" 1719490 32697.0 3129 1719489 32697.0 3128
"43541" 1719688 33585.6 3327 1719687 33585.6 3326
"43541" 1719972 35228.5 3611 1719971 35228.5 3610
"43541" 1720025 35967.9 3664 1720024 35967.9 3663
"43541" 1720056 36552.2 3695 1720055 36552.2 3694
"43541" 1720087 37136.6 3726 1720086 37136.6 3725
"43531" 1288777 1036.1 44 1288776 1036.1 43
"43531" 1288806 1669.1 73 1288805 1669.1 72
"43531" 1288833 2285.2 100 1288832 2285.2 99
"43531" 1288874 4091.8 141 1288873 4091.8 140
expired_calendar WARNING 73

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 73 affected records are displayed below.

csvRowNumber (?) The row of the faulty record. serviceId (?) The service id of the faulty record.
6 "1076"
12210 "13743"
3017 "73341"
6003 "2499"
2973 "1256"
2970 "1271"
12175 "1294"
2 "1339"
6000 "2685"
21162 "12709"
9088 "1379"
12201 "2737"
15209 "2766"
8 "1461"
15221 "47502"
18169 "2814"
12205 "2849"
12206 "2852"
15211 "2850"
9216 "59442"
21294 "59445"
9103 "2980"
15210 "2975"
6001 "2974"
18168 "2972"
9242 "70174"
21156 "1954"
6131 "58753"
18177 "20239"
21165 "20237"
21164 "17222"
18175 "31530"
3118 "66199"
15216 "17343"
6160 "78298"
21151 "678"
18040 "66853"
747 "66854"
12351 "66851"
6147 "66852"
20635 "66855"
12174 "973"
50 "76307"
18209 "76308"
51 "76309"
18292 "64427"
21331 "88558"
131 "65860"
3116 "65862"
21159 "3000"
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.
26738 "21_APNV_416-45-3-250526-ab-1310" "17272" 196.9887428340989 3.283145713901648 197501 17 "99227" "Krekenava" "14:03:00" 197502 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.
19094 "2699" "7597173"
19194 "2699" "7597142"
19221 "2699" "7597207"
19256 "2699" "7597021"
19318 "2699" "7597132"
19422 "2699" "7597198"
19501 "2699" "7597126"
19595 "2699" "7597196"
19700 "2699" "7597184"
19749 "2699" "7597138"
19837 "2699" "7597144"
20232 "2699" "7597141"
20259 "2699" "7597182"
20683 "2699" "7597185"
20689 "2699" "7597205"
20697 "2699" "7597174"
20705 "2699" "7597139"
20835 "2699" "7597145"
20915 "2699" "7597169"
20980 "2699" "7597183"
21017 "2699" "7597159"
21071 "2699" "7597158"
21172 "2699" "7597161"
21198 "2699" "7597148"
21231 "2699" "7597194"
21243 "2699" "7597131"
21260 "2699" "7597163"
21313 "2699" "7597162"
21385 "2699" "7597151"
21394 "2699" "7597197"
21439 "2699" "7597199"
21532 "2699" "7597212"
21629 "2699" "7597154"
21674 "2699" "7597200"
21748 "2699" "7597135"
21752 "2699" "7597165"
21948 "2699" "7597178"
22011 "2699" "7597160"
22426 "2699" "7597149"
22520 "2699" "7597180"
22613 "2699" "7597136"
22650 "2699" "7597211"
22744 "2699" "7597193"
22751 "2699" "7597175"
22831 "2699" "7597192"
22903 "2699" "7597167"
22905 "2699" "7597208"
22946 "2699" "7597187"
22979 "2699" "7597156"
23035 "2699" "7597129"
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 303

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 303 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\"" 52
"routes.txt" "route_short_name" "3_VLP" 31
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 39
"routes.txt" "route_long_name" "JONAVA-KĖDAINIAI" 40
"routes.txt" "route_long_name" "ŠVENČIONYS-ŠUTONYS-ŠVENČIONYS" 77
"routes.txt" "route_short_name" "5_VLP" 207
"routes.txt" "route_long_name" "RIMKAI-MAXIMA-ŠVEICARIJA" 209
"routes.txt" "route_long_name" "JONAVA-ŠĖTA" 211
"routes.txt" "route_long_name" "JONAVA-KUIGALIAI PER NAUJASODĮ" 214
"routes.txt" "route_long_name" "ŠVENČIONYS-PABRADĖ-VILNIUS-PABRADĖ-ŠVENČIONYS" 233
"routes.txt" "route_short_name" "40-DT" 319
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS, KANDRĖNUS, LAIČIUS" 332
"routes.txt" "route_long_name" "ŽELVA - PUSNĖ" 340
"routes.txt" "route_short_name" "2_VLP" 376
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI" 377
"routes.txt" "route_long_name" "JONAVA-BUKONYS" 378
"routes.txt" "route_long_name" "JONAVA-KAUNAS" 379
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI-BUKONYS-ŠILAI-JONAVA" 381
"routes.txt" "route_long_name" "JONAVA-ŽEIMIAI" 382
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-JUODMENA-RIMKAI" 383
"routes.txt" "route_long_name" "JONAVA - PAGELEŽIAI" 384
"routes.txt" "route_short_name" "94AT" 521
"routes.txt" "route_long_name" "JONAVA-KULVA PER JUODMENĄ" 567
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER KANDRĖNUS, LAIČIUS" 588
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 592
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 599
"routes.txt" "route_short_name" "94-DC" 669
"routes.txt" "route_short_name" "4_VLP" 716
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 726
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 761
"routes.txt" "route_short_name" "70AC" 851
"routes.txt" "route_short_name" "1A_VLP" 883
"routes.txt" "route_long_name" "KUPIŠKIS - ANTAŠAVA" 939
"routes.txt" "route_long_name" "ŠIRVINTOS - UKMERGĖ - ŠIRVINTOS" 969
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 1001
"routes.txt" "route_short_name" "2A_VLP" 1065
"routes.txt" "route_long_name" "JONAVA-UPININKAI" 1071
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-GLOBOS NAMAI-RIMKAI" 1072
"routes.txt" "route_long_name" "JONAVA-PREIŠIOGALĖLĖ-ŽINĖNAI-JONAVA" 1073
"routes.txt" "route_long_name" "JONAVA-JUŠKONYS" 1075
"routes.txt" "route_long_name" "JONAVA-ŽINĖNAI-PREIŠIOGALĖLĖ-JONAVA" 1078
"routes.txt" "route_long_name" "KUPIŠKIS – ŠIMONYS PER MIGONIS" 1101
"routes.txt" "route_long_name" "ŠVENČIONYS-ADUTIŠKIS-JAKELIAI-ADUTIŠKIS-ŠVENČIONYS" 1115
"routes.txt" "route_long_name" "PASVALYS-ŽILPAMŪŠIS PER TETIRVINUS" 1120
"routes.txt" "route_long_name" "ŽELVA - KIAUKLIAI" 1122
"routes.txt" "route_long_name" "KUPIŠKIS – PANEVĖŽYS" 1172
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS" 1192
"routes.txt" "route_short_name" "50AB" 1212
"routes.txt" "route_short_name" "1_VLP" 1248
"routes.txt" "route_long_name" "JONAVA-RUKLA" 1255
stop_too_far_from_shape WARNING 49

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.
22927 "3636" "45756" 639 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
22061 "3651" "45771" 668 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
21594 "3653" "45773" 669 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
22046 "43544" "8124133" 353306 "9340" "Mokykla" [55.512857000000004,26.315831] 134.01174852768767
23251 "43548" "8124139" 353344 "8484" "Mokykla" [55.513561,26.317414] 128.25393944619788
19461 "26974" "7317012" 34775 "14216" "Glaudžiai" [55.90637400000001,21.877556999999996] 1731.1842381583824
19461 "26974" "7317012" 34776 "10163" "Glaudžiai I" [55.90637400000001,21.877556999999996] 935.5388323636666
19461 "26974" "7317012" 34791 "19491" "Plungės autobusų stotis" [55.918779,21.851513000000004] 152.03315218543798
20947 "16822" "2392139" 21945 "8988" "Miškų urėdija" [56.223549,23.648672] 192.32046673726916
21316 "16821" "2392137" 21917 "8988" "Miškų urėdija" [56.223549,23.648672] 192.32046673726916
19696 "16823" "2392142" 22002 "15916" "Miškų urėdija" [56.223436,23.64902] 114.43864929834778
22986 "18654" "3218451" 25138 "67434" "Geluva" [55.249732,23.511073] 140.46827403515317
20337 "32206" "7476583" 42005 "48065" "Troškūnų g." [55.521214350005486,25.097709664383384] 523.8519190658676
20337 "32206" "7476583" 42006 "48066" "Geležinkelio stotis" [55.526276,25.103853] 785.72734673045
20337 "32206" "7476583" 42007 "48068" "Kalno parduotuvė" [55.526598,25.099623999999995] 574.8082135251354
20337 "32206" "7476583" 42010 "48071" "Pušyno mikrorajonas" [55.521132,25.115296] 658.3695095777266
20337 "32206" "7476583" 42015 "48070" "Žiburio g." [55.525912999999996,25.113931000000004] 146.43308427108235
20418 "3899" "46086" 777 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
23067 "3014" "43694" 235 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
9962 "37872" "61_49W" 67709 "91654" "Kūlokai" [54.450829999999996,23.395002] 3378.2526672161835
23120 "4529" "46899" 1566 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
19890 "4527" "47691" 2966 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
20342 "4528" "47692" 2967 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
23188 "14622" "7150733" 33833 "14754" "Naiviai" [55.84397975379556,25.145549112350125] 765.6219655883444
19359 "2821" "45017" 575 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
3181 "21886" "60_A4-01-6-251110-ba-0730" 355539 "5846" "Grūtas" [54.032271447911626,24.074587772943918] 103.01117636409927
3190 "21885" "60_A4-01-6-251110-ab-2150" 354608 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
3783 "21887" "60_A2-01-7-251110-ab3-1100" 354807 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
9780 "21891" "60_A2-02-1-241209-ab2-2020" 62917 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
3199 "21865" "60_A2-01-7-251110-b3a-1150" 356393 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
3213 "21872" "60_A2-01-6-251110-b2a-0820" 355790 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
21225 "3339" "46943" 1567 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
22577 "4710" "47248" 2207 "4945" "Onuškis" [54.48374200000001,24.591959000000003] 103.16686496628398
25859 "4711" "47250" 2220 "4945" "Onuškis" [54.48374200000001,24.591959000000003] 103.16686496628398
19479 "11705" "747606" 15730 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
19955 "6511" "54507" 8080 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
19295 "6509" "54502" 8041 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
20633 "6513" "54509" 8104 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
21502 "29093" "7413977" 37714 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
20091 "29092" "7413975" 37670 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
19436 "5232" "48167" 3301 "14684" "Lieplaukalė" [55.9354974471734,21.831098374058865] 152.04079667279404
19375 "44681" "8136900" 367417 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
22832 "3514" "45563" 586 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
22233 "3537" "45591" 611 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
19376 "17131" "2515701" 22405 "16347" "Sudervė" [54.761036,25.063001999999997] 2603.225038082936
22806 "3574" "45644" 612 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
21659 "3617" "45754" 638 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
22183 "15331" "2211798" 19768 "6964" "Mikieriai" [55.66300100000001,25.169295] 153.6142678364674
19444 "15330" "2211797" 19767 "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.
20730 "3645" "57657" 12087 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 12086 "12152" "Jonaičiai" [55.34641499999999,21.570023]
21958 "3667" "57730" 12226 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 12225 "13926" "Jonaičiai" [55.346103,21.568929]
20166 "3714" "57736" 12300 "13926" "Jonaičiai" [55.346103,21.568929] 12299 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
21067 "13808" "1228372" 18491 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 18490 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
20142 "26489" "7231018" 34411 "10486" "Kuršų m-la" [55.853816990580704,22.40675061105697] 34410 "7720" "Baltininkai" [55.85382305337965,22.406770171019815]
25632 "35668" "7652364" 53351 "20855" "Kontariškiai" [56.04984708813942,24.383280063416947] 53350 "20829" "Smegduobių parkas" [56.056377166218944,24.39590345350891]
22293 "28435" "7339430" 36249 "64819" "Suostas" [56.32837413018391,24.713657886432735] 36248 "16112" "Svydžiai" [56.352930797976754,24.686322368913352]
26305 "28434" "7339429" 36225 "10057" "Svydžiai" [56.35334128457164,24.685572701413516] 36224 "64820" "Suostas" [56.32837775901334,24.713656830174433]
20158 "6591" "57636" 11763 "13926" "Jonaičiai" [55.346103,21.568929] 11762 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
19771 "3554" "57639" 11803 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 11802 "12152" "Jonaičiai" [55.34641499999999,21.570023]
20877 "29102" "7413991" 37794 "71231" "Žuvintai" [54.448579423202126,23.62330650767253] 37793 "71255" "Litvanciškai" [54.41436513808293,23.67340583550103]
26412 "40377" "8016002" 100060 "72301" "Kirlikai" [55.32834500402225,21.565359093761266] 100059 "97223" "Tarvydai I" [55.328604,21.56423]
20423 "40378" "8016003" 100069 "71683" "Tarvydai II" [55.31814711876975,21.598011981975805] 100068 "97223" "Tarvydai I" [55.328604,21.56423]
22552 "5353" "57618" 11575 "13926" "Jonaičiai" [55.346103,21.568929] 11574 "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