GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2026-04-03T06:06:03+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: 52
  • Blocks: 0
  • Routes: 1365
  • Shapes: 3638
  • Stops: 14579
  • Trips: 25579

Specification Compliance report

113494 notices reported (0 errors, 113461 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`.
234 "6209" 291 "18329" "M1" "Alytus - Geniai" 3 "48"
110 "20364" 956 "20445" "M-152" "Kauno g.-Poliklinika-Birštono seniūnija" 3 "58"
775 "16052" 978 "6212" "M23" "Alytus - Punia - Butrimonys - Eigirdonys" 3 "48"
354 "3645" 1186 "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" 314490 29882.7 878 314489 29882.7 877 0.12791084993239907
"3659" 309540 49657.5 1177 309539 49657.5 1176 0.12791084993239907
"42205" 1925611 57850.1 335 1925610 57850.1 334 0.06178544815632574
"9899" 678351 10140.5 535 678350 10140.5 534 0.06374919783940136
"7246" 778323 67609.0 1511 778322 67609.0 1510 0.11119510090982554
"36319" 863363 31015.9 528 863362 31015.9 527 0.0623586881758763
"36317" 1525489 38911.6 654 1525488 38911.6 653 0.0623586881758763
"38950" 1732018 11713.3 325 1732017 11713.3 324 0.06234682915415588
"38950" 1732019 11713.3 326 1732018 11713.3 325 0.06234682915415588
"3712" 332471 11159.7 339 332470 11159.7 338 0.12791084993239907
"11231" 11915 37139.9 834 11914 37139.9 833 0.0636527781910892
"7377" 701651 27067.3 649 701650 27067.3 648 0.12791084993239907
"46694" 2015486 23752.8 557 2015485 23752.8 556 0.06193557554384503
"18612" 1070232 37006.9 870 1070231 37006.9 869 0.0636527781910892
"12645" 902894 11954.2 545 902893 11954.2 544 0.06437323893721987
"37003" 82668 22299.5 518 82667 22299.5 517 0.0635133278590634
"3116" 350876 24215.5 136 350875 24215.5 135 0.06303814001271353
"34101" 1447232 3241.6 163 1447231 3241.6 162 0.0623586881758763
"15821" 988120 20596.5 662 988119 20596.5 661 0.12801541284872414
"34067" 1155358 49177.4 805 1155357 49177.4 804 0.0623586881758763
"44279" 948634 12494.9 411 948633 12494.9 410 0.061754062897733865
"34096" 1446436 3241.6 163 1446435 3241.6 162 0.0623586881758763
"34086" 1143144 3793.2 180 1143143 3793.2 179 0.0623586881758763
"34086" 1143690 17842.1 726 1143689 17842.1 725 0.06236154185211733
"34084" 826518 3793.2 180 826517 3793.2 179 0.0623586881758763
"34079" 861587 10297.4 210 861586 10297.4 209 0.06236154185211733
"39052" 83578 17654.0 367 83577 17654.0 366 0.06308593794989874
"32404" 1425020 13453.5 454 1425019 13453.5 453 0.06256821099246385
"20409" 1227676 20881.2 405 1227675 20881.2 404 0.06200667717945432
"20408" 1226855 6611.0 219 1226854 6611.0 218 0.06200667717945432
"4571" 495364 11713.3 325 495363 11713.3 324 0.06234682915415588
"4571" 495365 11713.3 326 495364 11713.3 325 0.06234682915415588
"47474" 1865775 22362.6 555 1865774 22362.6 554 0.0623586881758763
"47449" 1649114 16956.1 469 1649113 16956.1 468 0.06193557554384503
"35667" 1540269 5114.4 147 1540268 5114.4 146 0.12737703146093737
"6592" 591907 37595.4 841 591906 37595.4 840 0.12791084993239907
"33918" 1474749 12783.1 436 1474748 12783.1 435 0.06386439485468
"15279" 1066123 11652.3 181 1066122 11652.3 180 0.06234682915415588
"7096" 578024 11652.3 181 578023 11652.3 180 0.06234682915415588
"3515" 317750 11159.7 339 317749 11159.7 338 0.12791084993239907
"4871" 511550 11713.3 325 511549 11713.3 324 0.06234682915415588
"4871" 511551 11713.3 326 511550 11713.3 325 0.06234682915415588
"3550" 278732 11159.7 339 278731 11159.7 338 0.12791084993239907
"4878" 519951 11713.3 325 519950 11713.3 324 0.06234682915415588
"4878" 519952 11713.3 326 519951 11713.3 325 0.06234682915415588
"38905" 1728553 11713.3 325 1728552 11713.3 324 0.06234682915415588
"4912" 526199 11713.3 325 526198 11713.3 324 0.06234682915415588
"4912" 526200 11713.3 326 526199 11713.3 325 0.06234682915415588
equal_shape_distance_same_coordinates WARNING 12868

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 12868 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" 1706160 350.5 28 1706159 350.5 27
"43541" 1706171 811.7 39 1706170 811.7 38
"43541" 1706210 1779.8 78 1706209 1779.8 77
"43541" 1706254 3184.3 122 1706253 3184.3 121
"43541" 1706287 4418.1 155 1706286 4418.1 154
"43541" 1706303 4854.6 171 1706302 4854.6 170
"43541" 1706352 6561.9 220 1706351 6561.9 219
"43541" 1706388 7544.1 256 1706387 7544.1 255
"43541" 1706427 8757.6 295 1706426 8757.6 294
"43541" 1706444 9358.6 312 1706443 9358.6 311
"43541" 1706471 9709.1 339 1706470 9709.1 338
"43541" 1706517 10376.7 385 1706516 10376.7 384
"43541" 1706570 11116.1 438 1706569 11116.1 437
"43541" 1706601 11700.4 469 1706600 11700.4 468
"43541" 1706632 12284.8 500 1706631 12284.8 499
"43541" 1706893 14358.7 761 1706892 14358.7 760
"43541" 1706969 14706.8 837 1706968 14706.8 836
"43541" 1707069 15301.6 937 1707068 15301.6 936
"43541" 1707169 15896.4 1037 1707168 15896.4 1036
"43541" 1707245 16244.5 1113 1707244 16244.5 1112
"43541" 1707443 17133.2 1311 1707442 17133.2 1310
"43541" 1707686 18161.9 1554 1707685 18161.9 1553
"43541" 1707711 18472.3 1579 1707710 18472.3 1578
"43541" 1707761 18976.3 1629 1707760 18976.3 1628
"43541" 1707908 19673.4 1776 1707907 19673.4 1775
"43541" 1708137 21285.9 2005 1708136 21285.9 2004
"43541" 1708213 22756.6 2081 1708212 22756.6 2080
"43541" 1708289 24227.3 2157 1708288 24227.3 2156
"43541" 1708328 24719.6 2196 1708327 24719.6 2195
"43541" 1708345 25292.2 2213 1708344 25292.2 2212
"43541" 1708364 25625.9 2232 1708363 25625.9 2231
"43541" 1708452 26736.7 2320 1708451 26736.7 2319
"43541" 1708539 27236.5 2407 1708538 27236.5 2406
"43541" 1708588 28436.1 2456 1708587 28436.1 2455
"43541" 1708627 28928.5 2495 1708626 28928.5 2494
"43541" 1708678 29639.4 2546 1708677 29639.4 2545
"43541" 1708909 30811.2 2777 1708908 30811.2 2776
"43541" 1708985 31159.3 2853 1708984 31159.3 2852
"43541" 1709085 31754.1 2953 1709084 31754.1 2952
"43541" 1709185 32348.9 3053 1709184 32348.9 3052
"43541" 1709261 32697.0 3129 1709260 32697.0 3128
"43541" 1709459 33585.6 3327 1709458 33585.6 3326
"43541" 1709743 35228.5 3611 1709742 35228.5 3610
"43541" 1709796 35967.9 3664 1709795 35967.9 3663
"43541" 1709827 36552.2 3695 1709826 36552.2 3694
"43541" 1709858 37136.6 3726 1709857 37136.6 3725
"43531" 1279789 1036.1 44 1279788 1036.1 43
"43531" 1279818 1669.1 73 1279817 1669.1 72
"43531" 1279845 2285.2 100 1279844 2285.2 99
"43531" 1279886 4091.8 141 1279885 4091.8 140
expired_calendar WARNING 58

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 58 affected records are displayed below.

csvRowNumber (?) The row of the faulty record. serviceId (?) The service id of the faulty record.
6 "1076"
12257 "13743"
3046 "73341"
6041 "2499"
3000 "1256"
2997 "1271"
12222 "1294"
2 "1339"
6038 "2685"
21242 "12709"
9130 "1379"
12248 "2737"
15286 "2766"
8 "1461"
15298 "47502"
18244 "2814"
12252 "2849"
12253 "2852"
15288 "2850"
9145 "2980"
15287 "2975"
6039 "2974"
18243 "2972"
21236 "1954"
18252 "20239"
21245 "20237"
21244 "17222"
18250 "31530"
15293 "17343"
21231 "678"
12221 "973"
47 "76307"
18282 "76308"
48 "76309"
21239 "3000"
6040 "3012"
21246 "13033"
3009 "13105"
15333 "76816"
11 "2009"
13 "2022"
12240 "2066"
9143 "2111"
15285 "2123"
12242 "2137"
12280 "62494"
6031 "2158"
6034 "2175"
6036 "2173"
12258 "14823"
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.
1922 "21_APNV_416-45-3-250526-ab-1310" "17272" 196.9887428340989 3.283145713901648 185839 17 "99227" "Krekenava" "14:03:00" 185840 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.
21 "2699" "7597156"
41 "2699" "7597209"
76 "2699" "7597189"
138 "2699" "7597188"
139 "2699" "7597203"
146 "2699" "7597157"
268 "2699" "7597127"
334 "2699" "7597166"
366 "2699" "7597195"
390 "2699" "7597171"
445 "2699" "7597132"
550 "2699" "7597196"
570 "2699" "7597144"
784 "2699" "7597155"
826 "2699" "7597146"
1108 "2699" "7597208"
1149 "2699" "7597187"
19861 "2699" "7597140"
19911 "2699" "7597191"
19915 "2699" "7597133"
19940 "2699" "7597186"
19974 "2699" "7597177"
20024 "2699" "7597202"
20093 "2699" "7597147"
20178 "2699" "7597125"
20255 "2699" "7597130"
20275 "2699" "7597181"
20342 "2699" "7597210"
20350 "2699" "7597201"
20352 "2699" "7597172"
20394 "2699" "7597164"
20396 "2699" "7597150"
20479 "2699" "7597128"
20495 "2699" "7597176"
20513 "2699" "7597137"
20568 "2699" "7597170"
20895 "2699" "7597173"
20972 "2699" "7597192"
21043 "2699" "7597167"
21047 "2699" "7597134"
21056 "2699" "7597206"
21085 "2699" "7597183"
21131 "2699" "7597148"
21247 "2699" "7597143"
21257 "2699" "7597190"
21293 "2699" "7597204"
21339 "2699" "7597142"
21385 "2699" "7597136"
21423 "2699" "7597211"
21438 "2699" "7597159"
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 301

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 301 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_long_name" "ŠVENČIONYS-ŠUTONYS-ŠVENČIONYS" 19
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-GLOBOS NAMAI-RIMKAI" 101
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 102
"routes.txt" "route_short_name" "3_VLP" 106
"routes.txt" "route_long_name" "ŠVENČIONYS-PABRADĖ-VILNIUS-PABRADĖ-ŠVENČIONYS" 167
"routes.txt" "route_long_name" "JONAVA-ŽEIMIAI" 276
"routes.txt" "route_short_name" "5_VLP" 284
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS, KANDRĖNUS, LAIČIUS" 323
"routes.txt" "route_short_name" "40-DT" 328
"routes.txt" "route_long_name" "ŽELVA - PUSNĖ" 336
"routes.txt" "route_long_name" "JONAVA - PAGELEŽIAI" 428
"routes.txt" "route_short_name" "2_VLP" 434
"routes.txt" "route_long_name" "JONAVA-PREIŠIOGALĖLĖ-ŽINĖNAI-JONAVA" 442
"routes.txt" "route_short_name" "94AT" 479
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 517
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER KANDRĖNUS, LAIČIUS" 520
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 526
"routes.txt" "route_long_name" "JONAVA-KULVA PER JUODMENĄ" 594
"routes.txt" "route_long_name" "RIMKAI-MAXIMA-ŠVEICARIJA" 595
"routes.txt" "route_long_name" "JONAVA-JUŠKONYS" 597
"routes.txt" "route_long_name" "JONAVA-GAIŽIŪNŲ STOTIS" 598
"routes.txt" "route_long_name" "JONAVA-KUIGALIAI PER NAUJASODĮ" 611
"routes.txt" "route_short_name" "94-DC" 626
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 702
"routes.txt" "route_short_name" "70AC" 714
"routes.txt" "route_long_name" "JONAVA-KAUNAS" 762
"routes.txt" "route_long_name" "JONAVA-KĖDAINIAI" 763
"routes.txt" "route_long_name" "JONAVA-KULVA" 765
"routes.txt" "route_short_name" "4_VLP" 772
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 852
"routes.txt" "route_long_name" "ŠIRVINTOS - UKMERGĖ - ŠIRVINTOS" 881
"routes.txt" "route_long_name" "JONAVA-RUKLA" 938
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI" 939
"routes.txt" "route_short_name" "1A_VLP" 944
"routes.txt" "route_long_name" "KUPIŠKIS - ANTAŠAVA" 975
"routes.txt" "route_short_name" "50AB" 1041
"routes.txt" "route_long_name" "KUPIŠKIS – PANEVĖŽYS" 1043
"routes.txt" "route_long_name" "ŠVENČIONYS-ADUTIŠKIS-JAKELIAI-ADUTIŠKIS-ŠVENČIONYS" 1065
"routes.txt" "route_long_name" "PASVALYS-ŽILPAMŪŠIS PER TETIRVINUS" 1074
"routes.txt" "route_long_name" "KUPIŠKIS – ŠIMONYS PER MIGONIS" 1083
"routes.txt" "route_long_name" "ŽELVA - KIAUKLIAI" 1084
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS" 1097
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-JUODMENA-RIMKAI" 1109
"routes.txt" "route_long_name" "JONAVA-BUKONYS" 1110
"routes.txt" "route_short_name" "2A_VLP" 1120
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI-BUKONYS-ŠILAI-JONAVA" 1121
"routes.txt" "route_long_name" "PASVALYS-GULBINĖNAI PER KRINČINĄ" 1197
"routes.txt" "route_long_name" "KUPIŠKIS – VAINIŪNIŠKIS (PER PALĖVENĖLĘ) – KUPIŠKIS" 1205
"routes.txt" "route_long_name" "KUPIŠKIS – ALIZAVA PER PALĖVENĖLĘ – KUPIŠKIS" 1206
stop_too_far_from_shape WARNING 48

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.
1130 "3636" "45756" 639 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
22074 "3651" "45771" 668 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
22165 "3653" "45773" 669 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
22059 "43544" "8124133" 270498 "9340" "Mokykla" [55.512857000000004,26.315831] 134.01174852768767
384 "43548" "8124139" 270536 "8484" "Mokykla" [55.513561,26.317414] 128.25393944619788
581 "26974" "7317018" 34877 "14216" "Glaudžiai" [55.90637400000001,21.877556999999996] 1731.1842381583824
581 "26974" "7317018" 34878 "10163" "Glaudžiai I" [55.90637400000001,21.877556999999996] 935.5388323636666
581 "26974" "7317018" 34893 "19491" "Plungės autobusų stotis" [55.918779,21.851513000000004] 152.03315218543798
21843 "16822" "2392138" 21927 "8988" "Miškų urėdija" [56.223549,23.648672] 192.32046673726916
12 "16821" "2392134" 21887 "8988" "Miškų urėdija" [56.223549,23.648672] 192.32046673726916
21827 "16823" "2392141" 21982 "15916" "Miškų urėdija" [56.223436,23.64902] 114.43864929834778
28 "18654" "3218451" 25138 "67434" "Geluva" [55.249732,23.511073] 140.46827403515317
764 "32206" "7476585" 41924 "48065" "Troškūnų g." [55.521214350005486,25.097709664383384] 523.8519190658676
764 "32206" "7476585" 41925 "48066" "Geležinkelio stotis" [55.526276,25.103853] 785.72734673045
764 "32206" "7476585" 41926 "48068" "Kalno parduotuvė" [55.526598,25.099623999999995] 574.8082135251354
764 "32206" "7476585" 41929 "48071" "Pušyno mikrorajonas" [55.521132,25.115296] 658.3695095777266
764 "32206" "7476585" 41934 "48070" "Žiburio g." [55.525912999999996,25.113931000000004] 146.43308427108235
21171 "3899" "46086" 777 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
24022 "3014" "43694" 235 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
21267 "4529" "46899" 1566 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
623 "4527" "47691" 2966 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
21674 "4528" "47692" 2967 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
47 "14622" "7150733" 33833 "14754" "Naiviai" [55.84397975379556,25.145549112350125] 765.6219655883444
21639 "2821" "45017" 575 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
5514 "21886" "60_A2-02-1-241209-ba-0720" 66643 "5846" "Grūtas" [54.032271447911626,24.074587772943918] 103.01117636409927
1290 "21885" "60_A2-02-6-251110-ab-1940" 273054 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
16065 "21887" "60_A2-01-7-251110-ab3-1430" 271287 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
1626 "21891" "60_A2-01-6-251110-ab2-0740" 273349 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
1790 "21865" "60_A2-01-7-251110-b3a-0920" 271084 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
1320 "21872" "60_A4-01-6-251110-b2a-2220" 273428 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
22392 "3339" "46943" 1567 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
941 "4710" "47249" 2219 "4945" "Onuškis" [54.48374200000001,24.591959000000003] 103.16686496628398
1002 "4711" "47250" 2220 "4945" "Onuškis" [54.48374200000001,24.591959000000003] 103.16686496628398
23399 "11705" "747606" 15730 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
22669 "6511" "54507" 8080 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
421 "6509" "54502" 8041 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
21507 "6513" "54509" 8104 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
20179 "29093" "7413976" 37653 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
20796 "29092" "7413975" 37623 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
20123 "5232" "48165" 3285 "14684" "Lieplaukalė" [55.9354974471734,21.831098374058865] 152.04079667279404
21939 "44681" "8136900" 284015 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
20973 "3514" "45563" 586 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
23390 "3537" "45591" 611 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
20107 "17131" "2515700" 22379 "16347" "Sudervė" [54.761036,25.063001999999997] 2603.225038082936
23931 "3574" "45644" 612 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
22503 "3617" "45754" 638 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
10 "15331" "2211799" 19780 "6964" "Mikieriai" [55.66300100000001,25.169295] 153.6142678364674
21730 "15330" "2211796" 19755 "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.
23840 "3645" "57657" 12087 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 12086 "12152" "Jonaičiai" [55.34641499999999,21.570023]
23305 "3667" "57730" 12226 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 12225 "13926" "Jonaičiai" [55.346103,21.568929]
723 "3714" "57736" 12300 "13926" "Jonaičiai" [55.346103,21.568929] 12299 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
21768 "13808" "1228372" 18491 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 18490 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
699 "26489" "7231018" 34411 "10486" "Kuršų m-la" [55.853816990580704,22.40675061105697] 34410 "7720" "Baltininkai" [55.85382305337965,22.406770171019815]
777 "35668" "7652364" 53201 "20855" "Kontariškiai" [56.04984708813942,24.383280063416947] 53200 "20829" "Smegduobių parkas" [56.056377166218944,24.39590345350891]
23718 "28435" "7339430" 36202 "64819" "Suostas" [56.32837413018391,24.713657886432735] 36201 "16112" "Svydžiai" [56.352930797976754,24.686322368913352]
20131 "28434" "7339429" 36178 "10057" "Svydžiai" [56.35334128457164,24.685572701413516] 36177 "64820" "Suostas" [56.32837775901334,24.713656830174433]
715 "6591" "57636" 11763 "13926" "Jonaičiai" [55.346103,21.568929] 11762 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
23323 "3554" "57643" 11891 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 11890 "12152" "Jonaičiai" [55.34641499999999,21.570023]
21902 "29102" "7413991" 37747 "71231" "Žuvintai" [54.448579423202126,23.62330650767253] 37746 "71255" "Litvanciškai" [54.41436513808293,23.67340583550103]
20330 "40377" "8016002" 97762 "72301" "Kirlikai" [55.32834500402225,21.565359093761266] 97761 "97223" "Tarvydai I" [55.328604,21.56423]
21176 "40378" "8016003" 97771 "71683" "Tarvydai II" [55.31814711876975,21.598011981975805] 97770 "97223" "Tarvydai I" [55.328604,21.56423]
324 "5353" "57623" 11609 "13926" "Jonaičiai" [55.346103,21.568929] 11608 "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