GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2025-01-21T01:05:38+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: 1005
  • Shapes: 2430
  • Stops: 9213
  • Trips: 12556

Specification Compliance report

108816 notices reported (0 errors, 108777 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" 349475 35929.8 642 349474 35929.8 641 0.11119510090982554
"32404" 2423587 13453.5 454 2423586 13453.5 453 0.06256821099246385
"2369" 333094 63265.5 1261 333093 63265.5 1260 0.11119510090982554
"2385" 552657 69168.3 1771 552656 69168.3 1770 0.06441976500794575
"4571" 935282 11713.3 325 935281 11713.3 324 0.06234682915415588
"4571" 935283 11713.3 326 935282 11713.3 325 0.06234682915415588
"36843" 2706782 81036.6 2372 2706781 81036.6 2371 0.06230995253378047
"28733" 2221762 71509.2 1569 2221761 71509.2 1568 0.06441976500794575
"1919" 735058 136875.8 2842 735057 136875.8 2841 0.12752942403551987
"1919" 735061 136876.0 2845 735060 136876.0 2844 0.11119510090982554
"1919" 735068 136876.5 2852 735067 136876.5 2851 0.11119510232447394
"1919" 735071 136876.7 2855 735070 136876.7 2854 0.11119510161714974
"1919" 735074 136876.9 2858 735073 136876.9 2857 0.12752941555597483
"1919" 735083 136877.5 2867 735082 136877.5 2866 0.11119510090982554
"1919" 735086 136877.7 2870 735085 136877.7 2869 0.11119510161714974
"1919" 735089 136877.9 2873 735088 136877.9 2872 0.11119510090982554
"1919" 735096 136878.4 2880 735095 136878.4 2879 0.11119510090982554
"1919" 735099 136878.6 2883 735098 136878.6 2882 0.11119510161714974
"1919" 735108 136879.2 2892 735107 136879.2 2891 0.11119510090982554
"1919" 735111 136879.4 2895 735110 136879.4 2894 0.12752939825777979
"1919" 735114 136879.6 2898 735113 136879.6 2897 0.11119510161714974
"1919" 735123 136880.2 2907 735122 136880.2 2906 0.11119510161714974
"1919" 735127 136880.5 2911 735126 136880.5 2910 0.06244513630731429
"1919" 735133 136880.9 2917 735132 136880.9 2916 0.11119510161714974
"1919" 735136 136881.1 2920 735135 136881.1 2919 0.11119510090982554
"1919" 735139 136881.3 2923 735138 136881.3 2922 0.11119510090982554
"1919" 735148 136881.9 2932 735147 136881.9 2931 0.12752938095958766
"1919" 735151 136882.1 2935 735150 136882.1 2934 0.11119510161714974
"1919" 735162 136882.8 2946 735161 136882.8 2945 0.11119510161714974
"1919" 735167 136883.1 2951 735166 136883.1 2950 0.11119510161714974
"1919" 735175 136883.6 2959 735174 136883.6 2958 0.11119510090982554
"1919" 735180 136883.9 2964 735179 136883.9 2963 0.11119510090982554
"1919" 735193 136884.7 2977 735192 136884.7 2976 0.11119510161714974
"1919" 735195 136884.8 2979 735194 136884.8 2978 0.11119510090982554
"1919" 735198 136885.0 2982 735197 136885.0 2981 0.11119510161714974
"1919" 735206 136885.5 2990 735205 136885.5 2989 0.1275293557985862
"1919" 735208 136885.6 2992 735207 136885.6 2991 0.11119510161714974
"1919" 735211 136885.8 2995 735210 136885.8 2994 0.11119510090982554
"1919" 735213 136885.9 2997 735212 136885.9 2996 0.11119510232447394
"1919" 735219 136886.3 3003 735218 136886.3 3002 0.06244505260741443
"1919" 735224 136886.6 3008 735223 136886.6 3007 0.11119510161714974
"1919" 735226 136886.7 3010 735225 136886.7 3009 0.11119510090982554
"1919" 735229 136886.9 3013 735228 136886.9 3012 0.11119510090982554
"1919" 735231 136887.0 3015 735230 136887.0 3014 0.11119510090982554
"1919" 735237 136887.4 3021 735236 136887.4 3020 0.11119510090982554
"1919" 735239 136887.5 3023 735238 136887.5 3022 0.11119510161714974
"1919" 735242 136887.7 3026 735241 136887.7 3025 0.11119510090982554
"1919" 735244 136887.8 3028 735243 136887.8 3027 0.11119510161714974
"1919" 735255 136888.5 3039 735254 136888.5 3038 0.11119510161714974
"1919" 735257 136888.6 3041 735256 136888.6 3040 0.11119510090982554
equal_shape_distance_same_coordinates WARNING 4275

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 4275 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" 687159 137085.3 3378 687158 137085.3 3377
"4525" 876507 34291.0 619 876506 34291.0 618
"29239" 2454006 160069.3 3319 2454005 160069.3 3318
"3208" 641477 1350.8 11 641476 1350.8 10
"3208" 641499 2748.7 33 641498 2748.7 32
"3208" 641523 7075.0 57 641522 7075.0 56
"3208" 641537 8332.4 71 641536 8332.4 70
"3208" 641548 10190.8 82 641547 10190.8 81
"3208" 641559 12049.1 93 641558 12049.1 92
"3208" 641570 13907.5 104 641569 13907.5 103
"3208" 641581 15765.9 115 641580 15765.9 114
"3208" 641595 17871.7 129 641594 17871.7 128
"3208" 641609 19977.6 143 641608 19977.6 142
"3208" 641623 22083.4 157 641622 22083.4 156
"3208" 641637 24189.3 171 641636 24189.3 170
"3208" 641651 25446.7 185 641650 25446.7 184
"3208" 641675 29773.0 209 641674 29773.0 208
"3208" 641697 31170.9 231 641696 31170.9 230
"3209" 642804 2759.6 33 642803 2759.6 32
"3209" 642828 7085.9 57 642827 7085.9 56
"3209" 642842 8343.3 71 642841 8343.3 70
"3209" 642869 12555.0 98 642868 12555.0 97
"3209" 642890 16271.8 119 642889 16271.8 118
"3209" 642904 17529.2 133 642903 17529.2 132
"3209" 642928 21855.5 157 642927 21855.5 156
"3699" 513707 17853.2 141 513706 17853.2 140
"3699" 513732 19846.6 166 513731 19846.6 165
"3699" 513743 21672.8 177 513742 21672.8 176
"3699" 513750 22751.5 184 513749 22751.5 183
"3699" 513754 24107.8 188 513753 24107.8 187
"3699" 513759 25643.1 193 513758 25643.1 192
"3699" 513786 29354.5 220 513785 29354.5 219
"3699" 513791 30889.8 225 513790 30889.8 224
"3699" 513795 32246.1 229 513794 32246.1 228
"3699" 513802 33324.8 236 513801 33324.8 235
"3699" 513813 35151.0 247 513812 35151.0 246
"3699" 513838 37144.4 272 513837 37144.4 271
"14610" 1459778 22443.4 707 1459777 22443.4 706
"36888" 2991478 13272.7 435 2991477 13272.7 434
"36875" 72990 13272.7 436 72989 13272.7 435
"4124" 850386 212232.8 3475 850385 212232.8 3474
"22672" 1959914 14396.1 344 1959913 14396.1 343
"22672" 1959929 14578.4 359 1959928 14578.4 358
"22674" 2039407 16490.1 440 2039406 16490.1 439
"22674" 2039422 16672.4 455 2039421 16672.4 454
"22675" 2040589 19188.3 597 2040588 19188.3 596
"22675" 2040604 19354.6 612 2040603 19354.6 611
"4127" 465222 212633.5 3491 465221 212633.5 3490
"36842" 1943004 154877.4 3880 1943003 154877.4 3879
"36842" 1943009 154956.4 3885 1943008 154956.4 3884
expired_calendar WARNING 9

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.
185 "1256"
1247 "860"
364 "2137"
1244 "678"
1092 "48594"
1253 "1383"
710 "973"
275 "44031"
554 "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" 1067 "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.
67 "2699" "7597128"
68 "2699" "7597129"
69 "2699" "7597130"
70 "2699" "7597131"
71 "2699" "7597132"
83 "2699" "7597133"
84 "2699" "7597134"
85 "2699" "7597135"
86 "2699" "7597136"
87 "2699" "7597137"
88 "2699" "7597138"
89 "2699" "7597139"
124 "2699" "7597140"
125 "2699" "7597141"
126 "2699" "7597142"
127 "2699" "7597143"
128 "2699" "7597144"
129 "2699" "7597145"
130 "2699" "7597146"
6874 "2699" "7597209"
6875 "2699" "7597210"
6876 "2699" "7597211"
6877 "2699" "7597212"
7211 "2699" "7597021"
7333 "2699" "7597170"
7335 "2699" "7597171"
7336 "2699" "7597172"
7338 "2699" "7597173"
7526 "2699" "7597174"
7527 "2699" "7597180"
7528 "2699" "7597181"
7529 "2699" "7597175"
7530 "2699" "7597176"
7531 "2699" "7597177"
7532 "2699" "7597178"
7535 "2699" "7597179"
7623 "2699" "7597182"
7624 "2699" "7597183"
7626 "2699" "7597184"
7627 "2699" "7597185"
7819 "2699" "7597186"
7820 "2699" "7597187"
7822 "2699" "7597188"
7824 "2699" "7597189"
7886 "2699" "7597169"
7918 "2699" "7597190"
7919 "2699" "7597191"
7920 "2699" "7597192"
7921 "2699" "7597193"
7922 "2699" "7597194"
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" 31
"routes.txt" "route_long_name" "JONAVA-ŠĖTA" 99
"routes.txt" "route_long_name" "ŠVENČIONYS-PABRADĖ-VILNIUS-PABRADĖ-ŠVENČIONYS" 124
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS, KANDRĖNUS, LAIČIUS" 144
"routes.txt" "route_long_name" "JONAVA-RUKLA" 186
"routes.txt" "route_long_name" "RIMKAI-MAXIMA-ŠVEICARIJA" 194
"routes.txt" "route_long_name" "JONAVA-PREIŠIOGALĖLĖ-ŽINĖNAI-JONAVA" 232
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 246
"routes.txt" "route_long_name" "JONAVA-UPININKAI" 321
"routes.txt" "route_long_name" "JONAVA-ŽINĖNAI-PREIŠIOGALĖLĖ-JONAVA" 324
"routes.txt" "route_long_name" "JONAVA-BUKONYS" 353
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 386
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER KANDRĖNUS, LAIČIUS" 419
"routes.txt" "route_long_name" "JONAVA-KAUNAS" 423
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI" 440
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 528
"routes.txt" "route_long_name" "JONAVA-ŽEIMIAI" 567
"routes.txt" "route_long_name" "JONAVA-JUŠKONYS" 568
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 596
"routes.txt" "route_long_name" "JONAVA-KĖDAINIAI" 597
"routes.txt" "route_long_name" "KUPIŠKIS - ANTAŠAVA" 684
"routes.txt" "route_long_name" "JONAVA - PAGELEŽIAI" 689
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-JUODMENA-RIMKAI" 726
"routes.txt" "route_long_name" "ŠVENČIONYS-ADUTIŠKIS-JAKELIAI-ADUTIŠKIS-ŠVENČIONYS" 744
"routes.txt" "route_long_name" "PASVALYS-ŽILPAMŪŠIS PER TETIRVINUS" 803
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS" 817
"routes.txt" "route_long_name" "KUPIŠKIS – ŠIMONYS PER MIGONIS" 818
"routes.txt" "route_long_name" "KUPIŠKIS – PANEVĖŽYS" 847
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI-BUKONYS-ŠILAI-JONAVA" 853
"routes.txt" "route_long_name" "JONAVA-KULVA" 857
"routes.txt" "route_long_name" "JONAVA-GAIŽIŪNŲ STOTIS" 867
"routes.txt" "route_long_name" "KUPIŠKIS – VAINIŪNIŠKIS (PER PALĖVENĖLĘ) – KUPIŠKIS" 906
"routes.txt" "route_long_name" "KUPIŠKIS – SUBAČIAUS MST. PER LUKONIS" 927
"routes.txt" "route_long_name" "PASVALYS-GULBINĖNAI PER KRINČINĄ" 945
"routes.txt" "route_long_name" "JONAVA-KULVA PER JUODMENĄ" 950
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-GLOBOS NAMAI-RIMKAI" 951
"routes.txt" "route_long_name" "KUPIŠKIS – ALIZAVA PER PALĖVENĖLĘ – KUPIŠKIS" 968
"routes.txt" "route_long_name" "KUPIŠKIS – LAIČIAI PER KANDRĖNUS, SKAPIŠKIO MSTL." 977
"routes.txt" "route_long_name" "JONAVA-KUIGALIAI PER NAUJASODĮ" 992
"stops.txt" "stop_name" "11-as kilometras" 10
"stops.txt" "stop_name" "16-sis kilometras" 32
"stops.txt" "stop_name" "7-asis kilometras" 315
"stops.txt" "stop_name" "KTU inžinerijos licėjus" 399
"stops.txt" "stop_name" "1-ojo forto g." 428
"stops.txt" "stop_name" "9-asis fortas" 479
"stops.txt" "stop_name" "13-sis kilometras" 576
"stops.txt" "stop_name" "25 -as km" 639
"stops.txt" "stop_name" "III km." 704
"stops.txt" "stop_name" "IKI prekybos centras" 809
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.
3361 "3636" "45756" 4172 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
3362 "3651" "45771" 4201 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
2990 "3653" "45773" 4202 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
3341 "4529" "46899" 5410 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
3355 "4527" "47691" 6534 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
3101 "4528" "47692" 6535 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
2089 "14622" "7150732" 38317 "14754" "Naiviai" [55.84397975379556,25.145549112350125] 765.6219655883444
759 "18184" "2933102" 25976 "24190" "Maldeniai" [56.08905,23.080025999999993] 114.55535215311666
5358 "18185" "2933105" 25990 "24190" "Maldeniai" [56.08905,23.080025999999993] 114.55535215311666
4664 "26974" "7317012" 40341 "14216" "Glaudžiai" [55.90637400000001,21.877556999999996] 1731.1842381583824
4664 "26974" "7317012" 40342 "10163" "Glaudžiai I" [55.90637400000001,21.877556999999996] 935.5388323636666
4664 "26974" "7317012" 40357 "19491" "Plungės autobusų stotis" [55.918779,21.851513000000004] 152.03315218543798
3325 "2821" "45017" 3844 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
1267 "29615" "7432118" 47993 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
9321 "29616" "7432119" 48041 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
5522 "10745" "432217" 15426 "8484" "Mokykla" [55.513561,26.317414] 128.25393944619788
11149 "29329" "7418310" 46755 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
10586 "29328" "7418309" 46732 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
3667 "3339" "46943" 5411 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
3728 "35655" "7651142" 89463 "71124" "Meškoniai" [55.06272185256335,24.279957733564615] 1013.4565627966662
3726 "35654" "7651140" 89439 "71124" "Meškoniai" [55.06272185256335,24.279957733564615] 1013.4565627966662
11603 "9923" "432216" 15425 "9340" "Mokykla" [55.512857000000004,26.315831] 134.01174852768767
2759 "2906" "43487" 2688 "8484" "Mokykla" [55.513561,26.317414] 128.25393944619788
1837 "18654" "3218451" 26607 "67434" "Geluva" [55.249732,23.511073] 140.46827403515317
6700 "32206" "7476583" 53111 "48065" "Troškūnų g." [55.521214350005486,25.097709664383384] 523.8519190658676
6700 "32206" "7476583" 53112 "48066" "Geležinkelio stotis" [55.526276,25.103853] 785.72734673045
6700 "32206" "7476583" 53113 "48068" "Kalno parduotuvė" [55.526598,25.099623999999995] 574.8082135251354
6700 "32206" "7476583" 53116 "48071" "Pušyno mikrorajonas" [55.521132,25.115296] 658.3695095777266
6700 "32206" "7476583" 53121 "48070" "Žiburio g." [55.525912999999996,25.113931000000004] 146.43308427108235
3035 "3899" "46086" 4540 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
2538 "11705" "747606" 15584 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
4852 "6511" "54507" 9865 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
4610 "6509" "54501" 9811 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
2741 "3013" "43693" 2967 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
4854 "6513" "54509" 9889 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
2974 "3014" "43692" 2952 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
3039 "3028" "45483" 3907 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
916 "29093" "7413976" 44215 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
915 "29092" "7413975" 44185 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
3674 "5232" "48166" 6931 "14684" "Lieplaukalė" [55.9354974471734,21.831098374058865] 152.04079667279404
11299 "29420" "7429613" 47373 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
3328 "3514" "45563" 4002 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
2987 "3537" "45591" 4075 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
6206 "17131" "2515700" 23973 "16347" "Sudervė" [54.761036,25.063001999999997] 2603.225038082936
3042 "3574" "45644" 4076 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
3723 "33152" "7651138" 89426 "71124" "Meškoniai" [55.06624,24.284739999999996] 1128.212293940835
3723 "33152" "7651138" 89427 "71122" "Dzūkų g." [55.048616298180846,24.256530754732907] 465.14632311917387
3723 "33152" "7651138" 89428 "74267" "Parko g." [55.04752370669709,24.257124615301468] 168.29354785133998
3723 "33152" "7651138" 89429 "70878" "Šveicarija" [55.04546,24.25836] 149.18478145589043
6842 "33151" "7597328" 66132 "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.
5784 "13808" "1228372" 17767 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 17766 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
7755 "35668" "7652364" 89683 "20855" "Kontariškiai" [56.04984708813942,24.383280063416947] 89682 "20829" "Smegduobių parkas" [56.056377166218944,24.39590345350891]
2474 "17480" "2657524" 24362 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 24361 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
4422 "22910" "4981065" 34175 "44981" "Apušėliai" [56.058900282912056,23.196604001375526] 34174 "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