GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2025-06-14T06:06:30+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: 41
  • Blocks: 0
  • Routes: 1281
  • Shapes: 3433
  • Stops: 11782
  • Trips: 23082

Specification Compliance report

110529 notices reported (0 errors, 110496 warnings, 33 infos)

Notice Code Severity Total
duplicate_route_name WARNING 3

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`.
101 "16021" 270 "6209" "M1" "Alytus - Geniai" 3 "48"
709 "16052" 923 "6212" "M23" "Alytus - Punia - Butrimonys - Eigirdonys" 3 "48"
371 "3645" 1181 "8681" "144" "Vilnius (Žalgirio stotelė) – Nemenčinė per Pikeliškes" 3 "53"
equal_shape_distance_diff_coordinates_distance_below_threshold WARNING 4141

equal_shape_distance_diff_coordinates_distance_below_threshold

Two consecutive points have equal shape_dist_traveled and different lat/lon coordinates in shapes.txt and the distance between the two points is greater than 0 but less than 1.11m.

When sorted by shape.shape_pt_sequence, the values for shape_dist_traveled must increase along a shape. Two consecutive points with equal values for shape_dist_traveled and small difference of coordinates (greater than 0 but less than 1.11 m distance) result in a warning.

You can see more about this notice here.

Only the first 50 of 4141 affected records are displayed below.

shapeId (?) The id of the faulty shape. csvRowNumber (?) The row number from `shapes.txt`. shapeDistTraveled (?) The faulty record's `shape_dist_traveled` value. shapePtSequence (?) The faulty record's `shapes.shape_pt_sequence`. prevCsvRowNumber (?) The row number from `shapes.txt` of the previous shape point. prevShapeDistTraveled (?) The previous shape point's `shape_dist_traveled` value. prevShapePtSequence (?) The previous record's `shapes.shape_pt_sequence`. actualDistanceBetweenShapePoints (?) Actual distance traveled along the shape from the first shape point to the previous shape point.
"2328" 386952 35929.8 642 386951 35929.8 641 0.11119510090982554
"2369" 372292 63265.5 1261 372291 63265.5 1260 0.11119510090982554
"2385" 562596 69168.3 1771 562595 69168.3 1770 0.06441976500794575
"28733" 2287633 71509.2 1569 2287632 71509.2 1568 0.06441976500794575
"1919" 728192 136875.8 2842 728191 136875.8 2841 0.12752942403551987
"1919" 728195 136876.0 2845 728194 136876.0 2844 0.11119510090982554
"1919" 728202 136876.5 2852 728201 136876.5 2851 0.11119510232447394
"1919" 728205 136876.7 2855 728204 136876.7 2854 0.11119510161714974
"1919" 728208 136876.9 2858 728207 136876.9 2857 0.12752941555597483
"1919" 728217 136877.5 2867 728216 136877.5 2866 0.11119510090982554
"1919" 728220 136877.7 2870 728219 136877.7 2869 0.11119510161714974
"1919" 728223 136877.9 2873 728222 136877.9 2872 0.11119510090982554
"1919" 728230 136878.4 2880 728229 136878.4 2879 0.11119510090982554
"1919" 728233 136878.6 2883 728232 136878.6 2882 0.11119510161714974
"1919" 728242 136879.2 2892 728241 136879.2 2891 0.11119510090982554
"1919" 728245 136879.4 2895 728244 136879.4 2894 0.12752939825777979
"1919" 728248 136879.6 2898 728247 136879.6 2897 0.11119510161714974
"1919" 728257 136880.2 2907 728256 136880.2 2906 0.11119510161714974
"1919" 728261 136880.5 2911 728260 136880.5 2910 0.06244513630731429
"1919" 728267 136880.9 2917 728266 136880.9 2916 0.11119510161714974
"1919" 728270 136881.1 2920 728269 136881.1 2919 0.11119510090982554
"1919" 728273 136881.3 2923 728272 136881.3 2922 0.11119510090982554
"1919" 728282 136881.9 2932 728281 136881.9 2931 0.12752938095958766
"1919" 728285 136882.1 2935 728284 136882.1 2934 0.11119510161714974
"1919" 728296 136882.8 2946 728295 136882.8 2945 0.11119510161714974
"1919" 728301 136883.1 2951 728300 136883.1 2950 0.11119510161714974
"1919" 728309 136883.6 2959 728308 136883.6 2958 0.11119510090982554
"1919" 728314 136883.9 2964 728313 136883.9 2963 0.11119510090982554
"1919" 728327 136884.7 2977 728326 136884.7 2976 0.11119510161714974
"1919" 728329 136884.8 2979 728328 136884.8 2978 0.11119510090982554
"1919" 728332 136885.0 2982 728331 136885.0 2981 0.11119510161714974
"1919" 728340 136885.5 2990 728339 136885.5 2989 0.1275293557985862
"1919" 728342 136885.6 2992 728341 136885.6 2991 0.11119510161714974
"1919" 728345 136885.8 2995 728344 136885.8 2994 0.11119510090982554
"1919" 728347 136885.9 2997 728346 136885.9 2996 0.11119510232447394
"1919" 728353 136886.3 3003 728352 136886.3 3002 0.06244505260741443
"1919" 728358 136886.6 3008 728357 136886.6 3007 0.11119510161714974
"1919" 728360 136886.7 3010 728359 136886.7 3009 0.11119510090982554
"1919" 728363 136886.9 3013 728362 136886.9 3012 0.11119510090982554
"1919" 728365 136887.0 3015 728364 136887.0 3014 0.11119510090982554
"1919" 728371 136887.4 3021 728370 136887.4 3020 0.11119510090982554
"1919" 728373 136887.5 3023 728372 136887.5 3022 0.11119510161714974
"1919" 728376 136887.7 3026 728375 136887.7 3025 0.11119510090982554
"1919" 728378 136887.8 3028 728377 136887.8 3027 0.11119510161714974
"1919" 728389 136888.5 3039 728388 136888.5 3038 0.11119510161714974
"1919" 728391 136888.6 3041 728390 136888.6 3040 0.11119510090982554
"1919" 728394 136888.8 3044 728393 136888.8 3043 0.11119510090982554
"1919" 728403 136889.4 3053 728402 136889.4 3052 0.11119510161714974
"1919" 728405 136889.5 3055 728404 136889.5 3054 0.11119510090982554
"1919" 728408 136889.7 3058 728407 136889.7 3057 0.11119510161714974
equal_shape_distance_same_coordinates WARNING 5922

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 5922 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`.
"29239" 2549018 160069.3 3319 2549017 160069.3 3318
"39494" 3224046 107.8 13 3224045 107.8 12
"39494" 3224064 328.2 31 3224063 328.2 30
"39494" 3224072 518.6 39 3224071 518.6 38
"39494" 3224074 590.6 41 3224073 590.6 40
"39494" 3224080 821.9 47 3224079 821.9 46
"39494" 3224100 1336.5 67 3224099 1336.5 66
"39494" 3224120 1657.1 87 3224119 1657.1 86
"39494" 3224182 1919.8 149 3224181 1919.8 148
"39494" 3224207 2502.5 174 3224206 2502.5 173
"39494" 3224212 2744.2 179 3224211 2744.2 178
"39494" 3224246 3181.8 213 3224245 3181.8 212
"39494" 3224248 3243.9 215 3224247 3243.9 214
"39493" 3223345 13.5 3 3223344 13.5 2
"39493" 3223349 203.7 7 3223348 203.7 6
"39493" 3223351 310.2 9 3223350 310.2 8
"39493" 3223366 929.5 24 3223365 929.5 23
"39493" 3223379 1963.4 37 3223378 1963.4 36
"39493" 3223385 2299.6 43 3223384 2299.6 42
"39493" 3223388 2355.9 46 3223387 2355.9 45
"39493" 3223419 3212.4 77 3223418 3212.4 76
"39493" 3223449 4660.8 107 3223448 4660.8 106
"39493" 3223457 5040.0 115 3223456 5040.0 114
"39493" 3223495 6646.2 153 3223494 6646.2 152
"39493" 3223522 7734.4 180 3223521 7734.4 179
"39493" 3223548 9284.5 206 3223547 9284.5 205
"39493" 3223561 10082.2 219 3223560 10082.2 218
"39493" 3223610 12699.8 268 3223609 12699.8 267
"39493" 3223613 12732.4 271 3223612 12732.4 270
"39493" 3223636 13905.6 294 3223635 13905.6 293
"39493" 3223656 14753.0 314 3223655 14753.0 313
"39493" 3223684 16596.6 342 3223683 16596.6 341
"39493" 3223686 16611.4 344 3223685 16611.4 343
"39493" 3223688 16626.3 346 3223687 16626.3 345
"39493" 3223705 17991.4 363 3223704 17991.4 362
"39493" 3223708 18104.1 366 3223707 18104.1 365
"39493" 3223710 18296.4 368 3223709 18296.4 367
"39493" 3223767 20801.0 425 3223766 20801.0 424
"39493" 3223771 20881.0 429 3223770 20881.0 428
"39493" 3223785 21759.0 443 3223784 21759.0 442
"39493" 3223824 24037.7 482 3223823 24037.7 481
"39493" 3223826 24063.5 484 3223825 24063.5 483
"39493" 3223828 24089.4 486 3223827 24089.4 485
"39493" 3223830 24152.7 488 3223829 24152.7 487
"39493" 3223841 24665.2 499 3223840 24665.2 498
"39493" 3223894 28255.3 552 3223893 28255.3 551
"39493" 3223899 28657.4 557 3223898 28657.4 556
"39493" 3223929 30072.8 587 3223928 30072.8 586
"39493" 3223947 30656.3 605 3223946 30656.3 604
"39493" 3224002 32792.5 660 3224001 32792.5 659
expired_calendar WARNING 43

expired_calendar

Dataset should not contain date ranges for services that have already expired.

This warning takes into account the calendar_dates.txt file as well as the calendar.txt file.

You can see more about this notice here.

csvRowNumber (?) The row of the faulty record. serviceId (?) The service id of the faulty record.
58 "1461"
1118 "47985"
1968 "678"
595 "60890"
1395 "48071"
25 "48073"
1394 "48062"
839 "48492"
2146 "59713"
1530 "59715"
405 "59714"
1531 "59716"
17 "43774"
408 "59723"
149 "59720"
254 "1256"
150 "59722"
1821 "59721"
2147 "59728"
1532 "59727"
700 "59735"
962 "59734"
2148 "59736"
152 "59731"
1534 "59739"
1823 "59740"
412 "59746"
1535 "59744"
964 "59743"
1824 "59749"
1536 "59750"
1826 "59757"
1970 "860"
1992 "24602"
1700 "48594"
1092 "973"
1537 "59760"
967 "59767"
2151 "59764"
965 "59763"
966 "59766"
1538 "59765"
305 "60347"
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.
23 "2699" "7597169"
2952 "2699" "7597186"
2953 "2699" "7597187"
2954 "2699" "7597188"
2955 "2699" "7597189"
3109 "2699" "7597021"
3188 "2699" "7597174"
3189 "2699" "7597180"
3190 "2699" "7597181"
3191 "2699" "7597175"
3192 "2699" "7597176"
3193 "2699" "7597177"
3194 "2699" "7597178"
3236 "2699" "7597182"
3237 "2699" "7597183"
3239 "2699" "7597184"
3240 "2699" "7597185"
21643 "2699" "7597133"
21644 "2699" "7597134"
21645 "2699" "7597135"
21646 "2699" "7597136"
21647 "2699" "7597137"
21648 "2699" "7597138"
21649 "2699" "7597139"
21688 "2699" "7597125"
21693 "2699" "7597126"
21694 "2699" "7597127"
21760 "2699" "7597190"
21761 "2699" "7597191"
21762 "2699" "7597192"
21763 "2699" "7597193"
21764 "2699" "7597194"
21765 "2699" "7597195"
21766 "2699" "7597196"
21767 "2699" "7597197"
21768 "2699" "7597198"
21787 "2699" "7597140"
21788 "2699" "7597141"
21789 "2699" "7597142"
21790 "2699" "7597143"
21791 "2699" "7597144"
21798 "2699" "7597145"
21799 "2699" "7597146"
21884 "2699" "7597199"
21887 "2699" "7597200"
21888 "2699" "7597201"
21889 "2699" "7597202"
21991 "2699" "7597203"
21994 "2699" "7597204"
22005 "2699" "7597147"
missing_recommended_file WARNING 1

missing_recommended_file

A recommended file is missing.

You can see more about this notice here.

filename (?) The name of the faulty file.
"feed_info.txt"
missing_timepoint_value WARNING 100000

missing_timepoint_value

stop_times.timepoint value is missing for a record.

Even though the column timepoint is optional in stop_times.txt according to the specification, stop_times.timepoint should not be empty when provided.

You can see more about this notice here.

Only the first 50 of 100000 affected records are displayed below.

csvRowNumber (?) The row number of the faulty record. tripId (?) The faulty record's `stop_times.trip_id`. stopSequence (?) The faulty record's `stop_times.stop_sequence`.
2 "41979" 1
3 "41979" 2
4 "41979" 3
5 "41979" 4
6 "41980" 1
7 "41980" 2
8 "41980" 3
9 "41980" 4
10 "41981" 1
11 "41981" 2
12 "41981" 3
13 "41981" 4
14 "41982" 1
15 "41982" 2
16 "41982" 3
17 "41982" 4
18 "42101" 1
19 "42101" 2
20 "42101" 4
21 "42101" 5
22 "42101" 6
23 "42103" 1
24 "42103" 2
25 "42103" 4
26 "42103" 5
27 "42103" 6
28 "42105" 1
29 "42105" 2
30 "42105" 4
31 "42105" 5
32 "42203" 1
33 "42203" 2
34 "42203" 3
35 "42203" 4
36 "42203" 5
37 "42203" 6
38 "42203" 7
39 "42203" 8
40 "42203" 9
41 "42203" 10
42 "42203" 11
43 "42203" 12
44 "42203" 13
45 "42203" 14
46 "42203" 15
47 "42203" 16
48 "42203" 17
49 "42203" 18
50 "42203" 19
51 "42206" 1
mixed_case_recommended_field WARNING 208

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 208 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" "ŠVENČIONYS-ŠUTONYS-ŠVENČIONYS" 62
"routes.txt" "route_long_name" "JONAVA-ŠĖTA" 141
"routes.txt" "route_long_name" "ŠVENČIONYS-PABRADĖ-VILNIUS-PABRADĖ-ŠVENČIONYS" 168
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS, KANDRĖNUS, LAIČIUS" 212
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 277
"routes.txt" "route_long_name" "JONAVA-RUKLA" 279
"routes.txt" "route_long_name" "RIMKAI-MAXIMA-ŠVEICARIJA" 292
"routes.txt" "route_long_name" "JONAVA-PREIŠIOGALĖLĖ-ŽINĖNAI-JONAVA" 322
"routes.txt" "route_long_name" "JONAVA-UPININKAI" 443
"routes.txt" "route_long_name" "JONAVA-BUKONYS" 447
"routes.txt" "route_long_name" "JONAVA-ŽINĖNAI-PREIŠIOGALĖLĖ-JONAVA" 473
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 490
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER KANDRĖNUS, LAIČIUS" 543
"routes.txt" "route_long_name" "JONAVA-KAUNAS" 593
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI" 620
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 673
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 760
"routes.txt" "route_long_name" "JONAVA-KĖDAINIAI" 761
"routes.txt" "route_long_name" "JONAVA-ŽEIMIAI" 762
"routes.txt" "route_long_name" "JONAVA-JUŠKONYS" 777
"routes.txt" "route_long_name" "KUPIŠKIS - ANTAŠAVA" 807
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-JUODMENA-RIMKAI" 928
"routes.txt" "route_long_name" "JONAVA - PAGELEŽIAI" 948
"routes.txt" "route_long_name" "ŠVENČIONYS-ADUTIŠKIS-JAKELIAI-ADUTIŠKIS-ŠVENČIONYS" 980
"routes.txt" "route_long_name" "KUPIŠKIS – ŠIMONYS PER MIGONIS" 1009
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS" 1011
"routes.txt" "route_long_name" "JONAVA-GAIŽIŪNŲ STOTIS" 1079
"routes.txt" "route_long_name" "PASVALYS-ŽILPAMŪŠIS PER TETIRVINUS" 1090
"routes.txt" "route_long_name" "JONAVA-KULVA" 1104
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI-BUKONYS-ŠILAI-JONAVA" 1105
"routes.txt" "route_long_name" "KUPIŠKIS – PANEVĖŽYS" 1113
"routes.txt" "route_long_name" "KUPIŠKIS – VAINIŪNIŠKIS (PER PALĖVENĖLĘ) – KUPIŠKIS" 1123
"routes.txt" "route_long_name" "KUPIŠKIS – LAIČIAI PER KANDRĖNUS, SKAPIŠKIO MSTL." 1126
"routes.txt" "route_long_name" "UKMERGĖ- MIŠNIŪNAI PER LIAUŠIUS" 1130
"routes.txt" "route_long_name" "PASVALYS-GULBINĖNAI PER KRINČINĄ" 1158
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-GLOBOS NAMAI-RIMKAI" 1240
"routes.txt" "route_long_name" "JONAVA-KUIGALIAI PER NAUJASODĮ" 1245
"routes.txt" "route_long_name" "JONAVA-KULVA PER JUODMENĄ" 1246
"routes.txt" "route_long_name" "KUPIŠKIS – SUBAČIAUS MST. PER LUKONIS" 1249
"routes.txt" "route_long_name" "KUPIŠKIS – ALIZAVA PER PALĖVENĖLĘ – KUPIŠKIS" 1272
"stops.txt" "stop_name" "9-ojo forto muziejus" 317
"stops.txt" "stop_name" "7-asis kilometras A" 396
"stops.txt" "stop_name" "VDU klasikinio ugdymo mokykla" 418
"stops.txt" "stop_name" "140 km" 717
"stops.txt" "stop_name" "16-sis kilometras" 1553
"stops.txt" "stop_name" "40 km" 1591
"stops.txt" "stop_name" "4-asis fortas" 1766
"stops.txt" "stop_name" "6-asis fortas" 1891
"stops.txt" "stop_name" "dirbtuvės už kriklinių" 2084
stop_too_far_from_shape WARNING 55

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 55 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.
14979 "3636" "45756" 3510 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
14980 "3651" "45771" 3539 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
14550 "3653" "45773" 3540 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
3164 "26974" "7317010" 41456 "14216" "Glaudžiai" [55.90637400000001,21.877556999999996] 1731.1842381583824
3164 "26974" "7317010" 41457 "10163" "Glaudžiai I" [55.90637400000001,21.877556999999996] 935.5388323636666
3164 "26974" "7317010" 41472 "19491" "Plungės autobusų stotis" [55.918779,21.851513000000004] 152.03315218543798
14626 "39471" "7964708" 487113 "70878" "Šveicarija" [55.04546,24.25836] 149.18478145589043
14027 "10745" "432217" 14494 "8484" "Mokykla" [55.513561,26.317414] 128.25393944619788
6464 "29329" "7418310" 49055 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
9504 "29328" "7418309" 49032 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
2427 "37844" "7870877" 100354 "91578" "Vidgiriai (kryžkelė)" [54.525926,23.216358000000003] 264.82495354003026
19207 "37846" "7870668" 96423 "91654" "Kūlokai" [54.45108200000001,23.396507] 3297.0156004557466
6175 "9923" "432216" 14493 "9340" "Mokykla" [55.512857000000004,26.315831] 134.01174852768767
8728 "37814" "7870743" 97903 "91339" "Sūduva" [54.57502093577935,23.37188570151982] 108.83359346294479
2426 "37804" "7870876" 100347 "91578" "Vidgiriai (kryžkelė)" [54.525926,23.216358000000003] 264.82495354003026
10485 "18654" "3218451" 24716 "67434" "Geluva" [55.249732,23.511073] 140.46827403515317
7656 "32206" "7476583" 55201 "48065" "Troškūnų g." [55.521214350005486,25.097709664383384] 523.8519190658676
7656 "32206" "7476583" 55202 "48066" "Geležinkelio stotis" [55.526276,25.103853] 785.72734673045
7656 "32206" "7476583" 55203 "48068" "Kalno parduotuvė" [55.526598,25.099623999999995] 574.8082135251354
7656 "32206" "7476583" 55206 "48071" "Pušyno mikrorajonas" [55.521132,25.115296] 658.3695095777266
7656 "32206" "7476583" 55211 "48070" "Žiburio g." [55.525912999999996,25.113931000000004] 146.43308427108235
14886 "3899" "46086" 3648 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
14947 "3014" "43694" 2660 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
14887 "3028" "45483" 3456 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
2073 "29420" "7429613" 49653 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
17495 "22910" "4973791" 33386 "24190" "Maldeniai" [56.08905,23.080025999999993] 114.55535215311666
14967 "4529" "46899" 4318 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
14976 "4527" "47691" 5349 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
14936 "4528" "47692" 5350 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
12008 "14622" "7150732" 39624 "14754" "Naiviai" [55.84397975379556,25.145549112350125] 765.6219655883444
1099 "18184" "2933103" 24214 "24190" "Maldeniai" [56.08905,23.080025999999993] 114.55535215311666
16237 "18185" "2933105" 24215 "24190" "Maldeniai" [56.08905,23.080025999999993] 114.55535215311666
14957 "2821" "45017" 3421 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
11051 "29615" "7432118" 50273 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
2307 "29616" "7432119" 50321 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
8332 "21886" "7846786" 87902 "5846" "Grūtas" [54.032271447911626,24.074587772943918] 103.01117636409927
8340 "21885" "7846795" 88031 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
11056 "21887" "7847087" 91940 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
9032 "21891" "7846864" 88931 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
9031 "21865" "7846863" 88888 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
8382 "21872" "7846726" 87112 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
15351 "3339" "46943" 4319 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
20062 "28460" "7340047" 44107 "8316" "Tirkšlių paviljonas" [56.262579012838884,22.304642653254728] 376.76730742519857
9312 "11705" "747606" 14652 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
14686 "6511" "54507" 8799 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
14279 "6509" "54501" 8745 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
14688 "6513" "54509" 8823 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
9799 "29093" "7413976" 46863 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
9798 "29092" "7413975" 46833 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
15356 "5232" "48166" 5617 "14684" "Lieplaukalė" [55.9354974471734,21.831098374058865] 152.04079667279404
stops_match_shape_out_of_order WARNING 5

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.
15243 "13808" "1228372" 16829 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 16828 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
717 "17480" "2657524" 22587 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 22586 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
17513 "22910" "4973794" 33409 "44981" "Apušėliai" [56.058900282912056,23.196604001375526] 33408 "23941" "Žiogai" [56.04871914929978,23.214028627477276]
375 "35668" "7652364" 71279 "20855" "Kontariškiai" [56.04984708813942,24.383280063416947] 71278 "20829" "Smegduobių parkas" [56.056377166218944,24.39590345350891]
5824 "29102" "7413991" 46957 "71231" "Žuvintai" [54.448579423202126,23.62330650767253] 46956 "71255" "Litvanciškai" [54.41436513808293,23.67340583550103]
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