GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2025-02-22T01:07:43+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.

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. calendar.txt
  3. calendar_dates.txt
  4. routes.txt
  5. shapes.txt
  6. stop_times.txt
  7. stops.txt
  8. trips.txt

Counts

  • Agencies: 38
  • Blocks: 0
  • Routes: 1006
  • Shapes: 2436
  • Stops: 9245
  • Trips: 12572

Specification Compliance report

108879 notices reported (0 errors, 108840 warnings, 39 infos)

Notice Code Severity Total
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" 349666 35929.8 642 349665 35929.8 641 0.11119510090982554
"32404" 2419796 13453.5 454 2419795 13453.5 453 0.06256821099246385
"2369" 333285 63265.5 1261 333284 63265.5 1260 0.11119510090982554
"2385" 552848 69168.3 1771 552847 69168.3 1770 0.06441976500794575
"4571" 935473 11713.3 325 935472 11713.3 324 0.06234682915415588
"4571" 935474 11713.3 326 935473 11713.3 325 0.06234682915415588
"36843" 2703725 81036.6 2372 2703724 81036.6 2371 0.06230995253378047
"28733" 2215323 71509.2 1569 2215322 71509.2 1568 0.06441976500794575
"1919" 735249 136875.8 2842 735248 136875.8 2841 0.12752942403551987
"1919" 735252 136876.0 2845 735251 136876.0 2844 0.11119510090982554
"1919" 735259 136876.5 2852 735258 136876.5 2851 0.11119510232447394
"1919" 735262 136876.7 2855 735261 136876.7 2854 0.11119510161714974
"1919" 735265 136876.9 2858 735264 136876.9 2857 0.12752941555597483
"1919" 735274 136877.5 2867 735273 136877.5 2866 0.11119510090982554
"1919" 735277 136877.7 2870 735276 136877.7 2869 0.11119510161714974
"1919" 735280 136877.9 2873 735279 136877.9 2872 0.11119510090982554
"1919" 735287 136878.4 2880 735286 136878.4 2879 0.11119510090982554
"1919" 735290 136878.6 2883 735289 136878.6 2882 0.11119510161714974
"1919" 735299 136879.2 2892 735298 136879.2 2891 0.11119510090982554
"1919" 735302 136879.4 2895 735301 136879.4 2894 0.12752939825777979
"1919" 735305 136879.6 2898 735304 136879.6 2897 0.11119510161714974
"1919" 735314 136880.2 2907 735313 136880.2 2906 0.11119510161714974
"1919" 735318 136880.5 2911 735317 136880.5 2910 0.06244513630731429
"1919" 735324 136880.9 2917 735323 136880.9 2916 0.11119510161714974
"1919" 735327 136881.1 2920 735326 136881.1 2919 0.11119510090982554
"1919" 735330 136881.3 2923 735329 136881.3 2922 0.11119510090982554
"1919" 735339 136881.9 2932 735338 136881.9 2931 0.12752938095958766
"1919" 735342 136882.1 2935 735341 136882.1 2934 0.11119510161714974
"1919" 735353 136882.8 2946 735352 136882.8 2945 0.11119510161714974
"1919" 735358 136883.1 2951 735357 136883.1 2950 0.11119510161714974
"1919" 735366 136883.6 2959 735365 136883.6 2958 0.11119510090982554
"1919" 735371 136883.9 2964 735370 136883.9 2963 0.11119510090982554
"1919" 735384 136884.7 2977 735383 136884.7 2976 0.11119510161714974
"1919" 735386 136884.8 2979 735385 136884.8 2978 0.11119510090982554
"1919" 735389 136885.0 2982 735388 136885.0 2981 0.11119510161714974
"1919" 735397 136885.5 2990 735396 136885.5 2989 0.1275293557985862
"1919" 735399 136885.6 2992 735398 136885.6 2991 0.11119510161714974
"1919" 735402 136885.8 2995 735401 136885.8 2994 0.11119510090982554
"1919" 735404 136885.9 2997 735403 136885.9 2996 0.11119510232447394
"1919" 735410 136886.3 3003 735409 136886.3 3002 0.06244505260741443
"1919" 735415 136886.6 3008 735414 136886.6 3007 0.11119510161714974
"1919" 735417 136886.7 3010 735416 136886.7 3009 0.11119510090982554
"1919" 735420 136886.9 3013 735419 136886.9 3012 0.11119510090982554
"1919" 735422 136887.0 3015 735421 136887.0 3014 0.11119510090982554
"1919" 735428 136887.4 3021 735427 136887.4 3020 0.11119510090982554
"1919" 735430 136887.5 3023 735429 136887.5 3022 0.11119510161714974
"1919" 735433 136887.7 3026 735432 136887.7 3025 0.11119510090982554
"1919" 735435 136887.8 3028 735434 136887.8 3027 0.11119510161714974
"1919" 735446 136888.5 3039 735445 136888.5 3038 0.11119510161714974
"1919" 735448 136888.6 3041 735447 136888.6 3040 0.11119510090982554
equal_shape_distance_same_coordinates WARNING 4339

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 4339 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`.
"2795" 687350 137085.3 3378 687349 137085.3 3377
"4525" 876698 34291.0 619 876697 34291.0 618
"29239" 2450215 160069.3 3319 2450214 160069.3 3318
"3208" 641668 1350.8 11 641667 1350.8 10
"3208" 641690 2748.7 33 641689 2748.7 32
"3208" 641714 7075.0 57 641713 7075.0 56
"3208" 641728 8332.4 71 641727 8332.4 70
"3208" 641739 10190.8 82 641738 10190.8 81
"3208" 641750 12049.1 93 641749 12049.1 92
"3208" 641761 13907.5 104 641760 13907.5 103
"3208" 641772 15765.9 115 641771 15765.9 114
"3208" 641786 17871.7 129 641785 17871.7 128
"3208" 641800 19977.6 143 641799 19977.6 142
"3208" 641814 22083.4 157 641813 22083.4 156
"3208" 641828 24189.3 171 641827 24189.3 170
"3208" 641842 25446.7 185 641841 25446.7 184
"3208" 641866 29773.0 209 641865 29773.0 208
"3208" 641888 31170.9 231 641887 31170.9 230
"3209" 642995 2759.6 33 642994 2759.6 32
"3209" 643019 7085.9 57 643018 7085.9 56
"3209" 643033 8343.3 71 643032 8343.3 70
"3209" 643060 12555.0 98 643059 12555.0 97
"3209" 643081 16271.8 119 643080 16271.8 118
"3209" 643095 17529.2 133 643094 17529.2 132
"3209" 643119 21855.5 157 643118 21855.5 156
"3699" 513898 17853.2 141 513897 17853.2 140
"3699" 513923 19846.6 166 513922 19846.6 165
"3699" 513934 21672.8 177 513933 21672.8 176
"3699" 513941 22751.5 184 513940 22751.5 183
"3699" 513945 24107.8 188 513944 24107.8 187
"3699" 513950 25643.1 193 513949 25643.1 192
"3699" 513977 29354.5 220 513976 29354.5 219
"3699" 513982 30889.8 225 513981 30889.8 224
"3699" 513986 32246.1 229 513985 32246.1 228
"3699" 513993 33324.8 236 513992 33324.8 235
"3699" 514004 35151.0 247 514003 35151.0 246
"3699" 514029 37144.4 272 514028 37144.4 271
"14610" 1452190 22443.4 707 1452189 22443.4 706
"36888" 2992194 13272.7 435 2992193 13272.7 434
"36875" 73181 13272.7 436 73180 13272.7 435
"4124" 850577 212232.8 3475 850576 212232.8 3474
"22672" 1951488 14396.1 344 1951487 14396.1 343
"22672" 1951503 14578.4 359 1951502 14578.4 358
"22674" 2032130 16490.1 440 2032129 16490.1 439
"22674" 2032145 16672.4 455 2032144 16672.4 454
"22675" 2033312 19188.3 597 2033311 19188.3 596
"22675" 2033327 19354.6 612 2033326 19354.6 611
"4127" 465413 212633.5 3491 465412 212633.5 3490
"36842" 1934578 154877.4 3880 1934577 154877.4 3879
"36842" 1934583 154956.4 3885 1934582 154956.4 3884
expired_calendar WARNING 8

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.
186 "1256"
1243 "860"
363 "2137"
1240 "678"
212 "244"
1089 "48594"
708 "973"
553 "48492"
leading_or_trailing_whitespaces WARNING 1

leading_or_trailing_whitespaces

The value in CSV file has leading or trailing whitespaces.

This notice is emitted for values protected with double quotes since whitespaces for non-protected values are trimmed automatically by CSV parser.

The validator strips whitespaces from protected values. We do not see any use case when such a whitespace may be needed. On the other hand, some real-world feeds use trailing whitespaces for some values and omit them for the others. This is causing the largest problem when a primary key and a foreign key differ just by a whitespace: it is clear that they are intended to be the same, that is why we always strip whitespaces.

You can see more about this notice here.

filename (?) The name of the faulty file. csvRowNumber (?) The row of the faulty record. fieldName (?) Faulty record's field name. fieldValue (?) Faulty value.
"stops.txt" 341 "stop_name" "Kauno "
missing_bike_allowance WARNING 120

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 120 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.
405 "2699" "7597169"
946 "2699" "7597155"
947 "2699" "7597156"
948 "2699" "7597157"
949 "2699" "7597158"
950 "2699" "7597159"
951 "2699" "7597160"
952 "2699" "7597161"
954 "2699" "7597126"
955 "2699" "7597127"
1026 "2699" "7597162"
1027 "2699" "7597163"
1037 "2699" "7597164"
1038 "2699" "7597165"
1039 "2699" "7597166"
1040 "2699" "7597167"
1106 "2699" "7597125"
1113 "2699" "7597147"
1118 "2699" "7597148"
1119 "2699" "7597149"
1124 "2699" "7597150"
1125 "2699" "7597151"
1126 "2699" "7597152"
1127 "2699" "7597153"
1128 "2699" "7597154"
9192 "2699" "7597021"
9311 "2699" "7597170"
9313 "2699" "7597171"
9314 "2699" "7597172"
9316 "2699" "7597173"
9457 "2699" "7597132"
9469 "2699" "7597133"
9488 "2699" "7597174"
9489 "2699" "7597180"
9490 "2699" "7597181"
9491 "2699" "7597175"
9492 "2699" "7597176"
9493 "2699" "7597177"
9494 "2699" "7597178"
9497 "2699" "7597179"
9529 "2699" "7597140"
9530 "2699" "7597141"
9531 "2699" "7597142"
9532 "2699" "7597143"
9533 "2699" "7597144"
9534 "2699" "7597145"
9535 "2699" "7597146"
9566 "2699" "7597182"
9567 "2699" "7597183"
9569 "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 "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 174

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 174 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\"" 12
"routes.txt" "route_long_name" "ŠVENČIONYS-ŠUTONYS-ŠVENČIONYS" 27
"routes.txt" "route_long_name" "JONAVA-ŠĖTA" 50
"routes.txt" "route_long_name" "ŠVENČIONYS-PABRADĖ-VILNIUS-PABRADĖ-ŠVENČIONYS" 137
"routes.txt" "route_long_name" "JONAVA-RUKLA" 156
"routes.txt" "route_long_name" "RIMKAI-MAXIMA-ŠVEICARIJA" 182
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS, KANDRĖNUS, LAIČIUS" 183
"routes.txt" "route_long_name" "JONAVA-PREIŠIOGALĖLĖ-ŽINĖNAI-JONAVA" 241
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 254
"routes.txt" "route_long_name" "JONAVA-BUKONYS" 267
"routes.txt" "route_long_name" "JONAVA-ŽINĖNAI-PREIŠIOGALĖLĖ-JONAVA" 312
"routes.txt" "route_long_name" "JONAVA-UPININKAI" 357
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 396
"routes.txt" "route_long_name" "JONAVA-KAUNAS" 401
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER KANDRĖNUS, LAIČIUS" 422
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI" 481
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 530
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 537
"routes.txt" "route_long_name" "JONAVA-ŽEIMIAI" 568
"routes.txt" "route_long_name" "JONAVA-JUŠKONYS" 607
"routes.txt" "route_long_name" "JONAVA-KĖDAINIAI" 610
"routes.txt" "route_long_name" "KUPIŠKIS - ANTAŠAVA" 633
"routes.txt" "route_long_name" "JONAVA - PAGELEŽIAI" 717
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-JUODMENA-RIMKAI" 736
"routes.txt" "route_long_name" "ŠVENČIONYS-ADUTIŠKIS-JAKELIAI-ADUTIŠKIS-ŠVENČIONYS" 746
"routes.txt" "route_long_name" "KUPIŠKIS – ŠIMONYS PER MIGONIS" 765
"routes.txt" "route_long_name" "JONAVA-GAIŽIŪNŲ STOTIS" 791
"routes.txt" "route_long_name" "PASVALYS-ŽILPAMŪŠIS PER TETIRVINUS" 831
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS" 851
"routes.txt" "route_long_name" "KUPIŠKIS – PANEVĖŽYS" 854
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI-BUKONYS-ŠILAI-JONAVA" 859
"routes.txt" "route_long_name" "JONAVA-KULVA" 864
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-GLOBOS NAMAI-RIMKAI" 876
"routes.txt" "route_long_name" "KUPIŠKIS – VAINIŪNIŠKIS (PER PALĖVENĖLĘ) – KUPIŠKIS" 889
"routes.txt" "route_long_name" "KUPIŠKIS – LAIČIAI PER KANDRĖNUS, SKAPIŠKIO MSTL." 892
"routes.txt" "route_long_name" "PASVALYS-GULBINĖNAI PER KRINČINĄ" 936
"routes.txt" "route_long_name" "JONAVA-KULVA PER JUODMENĄ" 941
"routes.txt" "route_long_name" "KUPIŠKIS – ALIZAVA PER PALĖVENĖLĘ – KUPIŠKIS" 955
"routes.txt" "route_long_name" "KUPIŠKIS – SUBAČIAUS MST. PER LUKONIS" 975
"routes.txt" "route_long_name" "JONAVA-KUIGALIAI PER NAUJASODĮ" 1004
"stops.txt" "stop_name" "25 -as km" 381
"stops.txt" "stop_name" "1-ojo forto g." 747
"stops.txt" "stop_name" "9-asis fortas" 775
"stops.txt" "stop_name" "7-asis kilometras" 798
"stops.txt" "stop_name" "KTU inžinerijos licėjus" 866
"stops.txt" "stop_name" "III km." 979
"stops.txt" "stop_name" "11-as kilometras" 994
"stops.txt" "stop_name" "16-sis kilometras" 1078
"stops.txt" "stop_name" "IKI prekybos centras" 1089
"stops.txt" "stop_name" "13-sis kilometras" 1110
stop_too_far_from_shape WARNING 52

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 52 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.
8288 "3636" "45756" 4172 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
8289 "3651" "45771" 4201 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
8045 "3653" "45773" 4202 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
8268 "4529" "46899" 5410 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
8282 "4527" "47691" 6534 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
8221 "4528" "47692" 6535 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
2129 "14622" "7150732" 38338 "14754" "Naiviai" [55.84397975379556,25.145549112350125] 765.6219655883444
2072 "18184" "2933102" 25928 "24190" "Maldeniai" [56.08905,23.080025999999993] 114.55535215311666
6109 "18185" "2933105" 25942 "24190" "Maldeniai" [56.08905,23.080025999999993] 114.55535215311666
5279 "26974" "7317012" 40362 "14216" "Glaudžiai" [55.90637400000001,21.877556999999996] 1731.1842381583824
5279 "26974" "7317012" 40363 "10163" "Glaudžiai I" [55.90637400000001,21.877556999999996] 935.5388323636666
5279 "26974" "7317012" 40378 "19491" "Plungės autobusų stotis" [55.918779,21.851513000000004] 152.03315218543798
8252 "2821" "45017" 3844 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
4979 "29615" "7432118" 47990 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
12021 "29616" "7432119" 48038 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
6272 "10745" "432217" 15426 "8484" "Mokykla" [55.513561,26.317414] 128.25393944619788
11206 "29329" "7418310" 46752 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
2151 "29328" "7418309" 46729 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
8452 "3339" "46943" 5411 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
8513 "35655" "7651142" 89476 "71124" "Meškoniai" [55.06272185256335,24.279957733564615] 1013.4565627966662
8511 "35654" "7651140" 89452 "71124" "Meškoniai" [55.06272185256335,24.279957733564615] 1013.4565627966662
11465 "9923" "432216" 15425 "9340" "Mokykla" [55.512857000000004,26.315831] 134.01174852768767
8022 "2906" "43487" 2688 "8484" "Mokykla" [55.513561,26.317414] 128.25393944619788
4077 "18654" "3218451" 26559 "67434" "Geluva" [55.249732,23.511073] 140.46827403515317
10687 "32206" "7476583" 53108 "48065" "Troškūnų g." [55.521214350005486,25.097709664383384] 523.8519190658676
10687 "32206" "7476583" 53109 "48066" "Geležinkelio stotis" [55.526276,25.103853] 785.72734673045
10687 "32206" "7476583" 53110 "48068" "Kalno parduotuvė" [55.526598,25.099623999999995] 574.8082135251354
10687 "32206" "7476583" 53113 "48071" "Pušyno mikrorajonas" [55.521132,25.115296] 658.3695095777266
10687 "32206" "7476583" 53118 "48070" "Žiburio g." [55.525912999999996,25.113931000000004] 146.43308427108235
8090 "3899" "46086" 4540 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
3551 "11705" "747606" 15584 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
5477 "6511" "54507" 9865 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
5370 "6509" "54501" 9811 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
8004 "3013" "43693" 2967 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
5678 "6513" "54509" 9889 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
8029 "3014" "43692" 2952 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
8094 "3028" "45483" 3907 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
3077 "29093" "7413976" 44230 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
3076 "29092" "7413975" 44200 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
6070 "5232" "56646" 9991 "14684" "Lieplaukalė" [55.9354974471734,21.831098374058865] 152.04079667279404
3216 "29420" "7429613" 47370 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
8255 "3514" "45563" 4002 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
8042 "3537" "45591" 4075 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
6585 "17131" "2515700" 23925 "16347" "Sudervė" [54.761036,25.063001999999997] 2603.225038082936
8097 "3574" "45644" 4076 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
4216 "33152" "7500274" 54801 "71124" "Meškoniai" [55.06624,24.284739999999996] 1128.212293940835
4216 "33152" "7500274" 54802 "71122" "Dzūkų g." [55.048616298180846,24.256530754732907] 465.14632311917387
4216 "33152" "7500274" 54803 "74267" "Parko g." [55.04752370669709,24.257124615301468] 168.29354785133998
4216 "33152" "7500274" 54804 "70878" "Šveicarija" [55.04546,24.25836] 149.18478145589043
4215 "33151" "7500272" 54781 "70878" "Šveicarija" [55.04546,24.25836] 149.18478145589043
stops_match_shape_out_of_order WARNING 4

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.
6514 "13808" "1228372" 17767 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 17766 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
658 "35668" "7652364" 89696 "20855" "Kontariškiai" [56.04984708813942,24.383280063416947] 89695 "20829" "Smegduobių parkas" [56.056377166218944,24.39590345350891]
6935 "17480" "2657524" 24314 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 24313 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
5951 "22910" "4973794" 33656 "44981" "Apušėliai" [56.058900282912056,23.196604001375526] 33655 "23941" "Žiogai" [56.04871914929978,23.214028627477276]
unknown_column INFO 39

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.
"agency.txt" "agency_branding_url" 9
"routes.txt" "eligibility_restricted" 10
"routes.txt" "bikes_allowed" 11
"routes.txt" "route_branding_url" 12
"routes.txt" "regional_fare_card" 13
"stops.txt" "vehicle_type" 13
"stops.txt" "mta_stop_id" 16
"stops.txt" "regional_fare_card" 17
"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" "start_service_area_radius" 23
"stop_times.txt" "end_service_area_radius" 24
"stop_times.txt" "fare_period_id" 25
"stop_times.txt" "departure_buffer" 26
"stop_times.txt" "track" 27
"stop_times.txt" "mean_duration_factor" 28
"stop_times.txt" "mean_duration_offset" 29
"stop_times.txt" "safe_duration_factor" 30
"stop_times.txt" "safe_duration_offset" 31
"stop_times.txt" "free_running_flag" 32
"trips.txt" "note_id" 2
"trips.txt" "drt_max_travel_time" 11
"trips.txt" "drt_avg_travel_time" 12
"trips.txt" "drt_advance_book_min" 13
"trips.txt" "drt_pickup_message" 14
"trips.txt" "drt_drop_off_message" 15
"trips.txt" "continuous_pickup_message" 16
"trips.txt" "continuous_drop_off_message" 17
"trips.txt" "mean_duration_factor" 18
"trips.txt" "mean_duration_offset" 19
"trips.txt" "safe_duration_factor" 20
"trips.txt" "safe_duration_offset" 21
"trips.txt" "cars_allowed" 23
"trips.txt" "fare_id" 24
"trips.txt" "peak_offpeak" 25
"trips.txt" "mta_trip_id" 26
"trips.txt" "boarding_type" 27