GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2025-03-31T03:06:55+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. calendar.txt
  3. calendar_dates.txt
  4. fare_attributes.txt
  5. fare_rules.txt
  6. routes.txt
  7. shapes.txt
  8. stop_times.txt
  9. stops.txt
  10. trips.txt

Counts

  • Agencies: 38
  • Blocks: 0
  • Routes: 1097
  • Shapes: 2773
  • Stops: 9854
  • Trips: 16104

Specification Compliance report

109168 notices reported (0 errors, 109136 warnings, 32 infos)

Notice Code Severity Total
duplicate_route_name WARNING 1

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`.
294 "3645" 1023 "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" 356081 35929.8 642 356080 35929.8 641 0.11119510090982554
"32404" 2420946 13453.5 454 2420945 13453.5 453 0.06256821099246385
"2369" 339700 63265.5 1261 339699 63265.5 1260 0.11119510090982554
"2385" 559263 69168.3 1771 559262 69168.3 1770 0.06441976500794575
"4571" 945966 11713.3 325 945965 11713.3 324 0.06234682915415588
"4571" 945967 11713.3 326 945966 11713.3 325 0.06234682915415588
"36843" 2708129 81036.6 2372 2708128 81036.6 2371 0.06230995253378047
"28733" 2221892 71509.2 1569 2221891 71509.2 1568 0.06441976500794575
"1919" 741664 136875.8 2842 741663 136875.8 2841 0.12752942403551987
"1919" 741667 136876.0 2845 741666 136876.0 2844 0.11119510090982554
"1919" 741674 136876.5 2852 741673 136876.5 2851 0.11119510232447394
"1919" 741677 136876.7 2855 741676 136876.7 2854 0.11119510161714974
"1919" 741680 136876.9 2858 741679 136876.9 2857 0.12752941555597483
"1919" 741689 136877.5 2867 741688 136877.5 2866 0.11119510090982554
"1919" 741692 136877.7 2870 741691 136877.7 2869 0.11119510161714974
"1919" 741695 136877.9 2873 741694 136877.9 2872 0.11119510090982554
"1919" 741702 136878.4 2880 741701 136878.4 2879 0.11119510090982554
"1919" 741705 136878.6 2883 741704 136878.6 2882 0.11119510161714974
"1919" 741714 136879.2 2892 741713 136879.2 2891 0.11119510090982554
"1919" 741717 136879.4 2895 741716 136879.4 2894 0.12752939825777979
"1919" 741720 136879.6 2898 741719 136879.6 2897 0.11119510161714974
"1919" 741729 136880.2 2907 741728 136880.2 2906 0.11119510161714974
"1919" 741733 136880.5 2911 741732 136880.5 2910 0.06244513630731429
"1919" 741739 136880.9 2917 741738 136880.9 2916 0.11119510161714974
"1919" 741742 136881.1 2920 741741 136881.1 2919 0.11119510090982554
"1919" 741745 136881.3 2923 741744 136881.3 2922 0.11119510090982554
"1919" 741754 136881.9 2932 741753 136881.9 2931 0.12752938095958766
"1919" 741757 136882.1 2935 741756 136882.1 2934 0.11119510161714974
"1919" 741768 136882.8 2946 741767 136882.8 2945 0.11119510161714974
"1919" 741773 136883.1 2951 741772 136883.1 2950 0.11119510161714974
"1919" 741781 136883.6 2959 741780 136883.6 2958 0.11119510090982554
"1919" 741786 136883.9 2964 741785 136883.9 2963 0.11119510090982554
"1919" 741799 136884.7 2977 741798 136884.7 2976 0.11119510161714974
"1919" 741801 136884.8 2979 741800 136884.8 2978 0.11119510090982554
"1919" 741804 136885.0 2982 741803 136885.0 2981 0.11119510161714974
"1919" 741812 136885.5 2990 741811 136885.5 2989 0.1275293557985862
"1919" 741814 136885.6 2992 741813 136885.6 2991 0.11119510161714974
"1919" 741817 136885.8 2995 741816 136885.8 2994 0.11119510090982554
"1919" 741819 136885.9 2997 741818 136885.9 2996 0.11119510232447394
"1919" 741825 136886.3 3003 741824 136886.3 3002 0.06244505260741443
"1919" 741830 136886.6 3008 741829 136886.6 3007 0.11119510161714974
"1919" 741832 136886.7 3010 741831 136886.7 3009 0.11119510090982554
"1919" 741835 136886.9 3013 741834 136886.9 3012 0.11119510090982554
"1919" 741837 136887.0 3015 741836 136887.0 3014 0.11119510090982554
"1919" 741843 136887.4 3021 741842 136887.4 3020 0.11119510090982554
"1919" 741845 136887.5 3023 741844 136887.5 3022 0.11119510161714974
"1919" 741848 136887.7 3026 741847 136887.7 3025 0.11119510090982554
"1919" 741850 136887.8 3028 741849 136887.8 3027 0.11119510161714974
"1919" 741861 136888.5 3039 741860 136888.5 3038 0.11119510161714974
"1919" 741863 136888.6 3041 741862 136888.6 3040 0.11119510090982554
equal_shape_distance_same_coordinates WARNING 4734

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 4734 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" 693765 137085.3 3378 693764 137085.3 3377
"4525" 883647 34291.0 619 883646 34291.0 618
"29239" 2449625 160069.3 3319 2449624 160069.3 3318
"3208" 648083 1350.8 11 648082 1350.8 10
"3208" 648105 2748.7 33 648104 2748.7 32
"3208" 648129 7075.0 57 648128 7075.0 56
"3208" 648143 8332.4 71 648142 8332.4 70
"3208" 648154 10190.8 82 648153 10190.8 81
"3208" 648165 12049.1 93 648164 12049.1 92
"3208" 648176 13907.5 104 648175 13907.5 103
"3208" 648187 15765.9 115 648186 15765.9 114
"3208" 648201 17871.7 129 648200 17871.7 128
"3208" 648215 19977.6 143 648214 19977.6 142
"3208" 648229 22083.4 157 648228 22083.4 156
"3208" 648243 24189.3 171 648242 24189.3 170
"3208" 648257 25446.7 185 648256 25446.7 184
"3208" 648281 29773.0 209 648280 29773.0 208
"3208" 648303 31170.9 231 648302 31170.9 230
"3209" 649410 2759.6 33 649409 2759.6 32
"3209" 649434 7085.9 57 649433 7085.9 56
"3209" 649448 8343.3 71 649447 8343.3 70
"3209" 649475 12555.0 98 649474 12555.0 97
"3209" 649496 16271.8 119 649495 16271.8 118
"3209" 649510 17529.2 133 649509 17529.2 132
"3209" 649534 21855.5 157 649533 21855.5 156
"3699" 520313 17853.2 141 520312 17853.2 140
"3699" 520338 19846.6 166 520337 19846.6 165
"3699" 520349 21672.8 177 520348 21672.8 176
"3699" 520356 22751.5 184 520355 22751.5 183
"3699" 520360 24107.8 188 520359 24107.8 187
"3699" 520365 25643.1 193 520364 25643.1 192
"3699" 520392 29354.5 220 520391 29354.5 219
"3699" 520397 30889.8 225 520396 30889.8 224
"3699" 520401 32246.1 229 520400 32246.1 228
"3699" 520408 33324.8 236 520407 33324.8 235
"3699" 520419 35151.0 247 520418 35151.0 246
"3699" 520444 37144.4 272 520443 37144.4 271
"38156" 2965592 747.6 15 2965591 747.6 14
"38156" 2965600 922.0 23 2965599 922.0 22
"38156" 2965654 2228.4 77 2965653 2228.4 76
"38156" 2965663 2559.2 86 2965662 2559.2 85
"38156" 2965678 3241.7 101 2965677 3241.7 100
"38156" 2965691 3699.6 114 2965690 3699.6 113
"38156" 2965706 4429.8 129 2965705 4429.8 128
"38156" 2965718 4825.7 141 2965717 4825.7 140
"38156" 2965746 5646.2 169 2965745 5646.2 168
"38156" 2965770 6164.4 193 2965769 6164.4 192
"38156" 2965779 6481.8 202 2965778 6481.8 201
"38156" 2965800 7319.4 223 2965799 7319.4 222
"38156" 2965808 7777.9 231 2965807 7777.9 230
expired_calendar WARNING 19

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.
1696 "49714"
861 "49710"
1517 "678"
159 "48758"
1275 "50721"
860 "50720"
664 "48492"
223 "1256"
1520 "860"
437 "2137"
1012 "50076"
1541 "24602"
1327 "48594"
227 "2218"
11 "2217"
1304 "2216"
228 "2224"
873 "973"
1505 "48749"
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 184

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 184 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" 9
"routes.txt" "route_long_name" "JONAVA-ŠĖTA" 30
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS, KANDRĖNUS, LAIČIUS" 143
"routes.txt" "route_long_name" "ŠVENČIONYS-PABRADĖ-VILNIUS-PABRADĖ-ŠVENČIONYS" 146
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 150
"routes.txt" "route_long_name" "JONAVA-RUKLA" 153
"routes.txt" "route_long_name" "RIMKAI-MAXIMA-ŠVEICARIJA" 158
"routes.txt" "route_long_name" "JONAVA-PREIŠIOGALĖLĖ-ŽINĖNAI-JONAVA" 173
"routes.txt" "route_long_name" "JONAVA-UPININKAI" 301
"routes.txt" "route_long_name" "JONAVA-BUKONYS" 303
"routes.txt" "route_long_name" "JONAVA-ŽINĖNAI-PREIŠIOGALĖLĖ-JONAVA" 314
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI" 432
"routes.txt" "route_long_name" "JONAVA-KAUNAS" 435
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 440
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER KANDRĖNUS, LAIČIUS" 451
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 575
"routes.txt" "route_long_name" "JONAVA-KĖDAINIAI" 578
"routes.txt" "route_long_name" "JONAVA-JUŠKONYS" 588
"routes.txt" "route_long_name" "JONAVA-ŽEIMIAI" 593
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 595
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-JUODMENA-RIMKAI" 710
"routes.txt" "route_long_name" "JONAVA - PAGELEŽIAI" 713
"routes.txt" "route_long_name" "KUPIŠKIS - ANTAŠAVA" 720
"routes.txt" "route_long_name" "KUPIŠKIS – ŠIMONYS PER MIGONIS" 818
"routes.txt" "route_long_name" "ŠVENČIONYS-ADUTIŠKIS-JAKELIAI-ADUTIŠKIS-ŠVENČIONYS" 823
"routes.txt" "route_long_name" "JONAVA-KULVA" 842
"routes.txt" "route_long_name" "JONAVA-GAIŽIŪNŲ STOTIS" 845
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI-BUKONYS-ŠILAI-JONAVA" 853
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS" 892
"routes.txt" "route_long_name" "KUPIŠKIS – PANEVĖŽYS" 898
"routes.txt" "route_long_name" "PASVALYS-ŽILPAMŪŠIS PER TETIRVINUS" 928
"routes.txt" "route_long_name" "KUPIŠKIS – VAINIŪNIŠKIS (PER PALĖVENĖLĘ) – KUPIŠKIS" 969
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-GLOBOS NAMAI-RIMKAI" 978
"routes.txt" "route_long_name" "JONAVA-KULVA PER JUODMENĄ" 979
"routes.txt" "route_long_name" "KUPIŠKIS – LAIČIAI PER KANDRĖNUS, SKAPIŠKIO MSTL." 994
"routes.txt" "route_long_name" "PASVALYS-GULBINĖNAI PER KRINČINĄ" 1031
"routes.txt" "route_long_name" "JONAVA-KUIGALIAI PER NAUJASODĮ" 1036
"routes.txt" "route_long_name" "KUPIŠKIS – ALIZAVA PER PALĖVENĖLĘ – KUPIŠKIS" 1045
"routes.txt" "route_long_name" "KUPIŠKIS – SUBAČIAUS MST. PER LUKONIS" 1074
"stops.txt" "stop_name" "11-as kilometras" 147
"stops.txt" "stop_name" "IKI prekybos centras" 168
"stops.txt" "stop_name" "HARJU ELEKTER" 366
"stops.txt" "stop_name" "IKI parduotuvė" 393
"stops.txt" "stop_name" "III km." 418
"stops.txt" "stop_name" "KTU inžinerijos licėjus" 442
"stops.txt" "stop_name" "7-asis kilometras" 477
"stops.txt" "stop_name" "13-sis kilometras" 510
"stops.txt" "stop_name" "25 -as km" 595
"stops.txt" "stop_name" "16-sis kilometras" 631
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.
13460 "3636" "45756" 4172 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
13461 "3651" "45771" 4201 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
13004 "3653" "45773" 4202 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
13440 "4529" "46899" 5410 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
13454 "4527" "47691" 6534 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
13112 "4528" "47692" 6535 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
4064 "14622" "7150732" 37989 "14754" "Naiviai" [55.84397975379556,25.145549112350125] 765.6219655883444
314 "18184" "2933102" 25804 "24190" "Maldeniai" [56.08905,23.080025999999993] 114.55535215311666
12027 "18185" "2933105" 25818 "24190" "Maldeniai" [56.08905,23.080025999999993] 114.55535215311666
8208 "26974" "7317010" 39650 "14216" "Glaudžiai" [55.90637400000001,21.877556999999996] 1731.1842381583824
8208 "26974" "7317010" 39651 "10163" "Glaudžiai I" [55.90637400000001,21.877556999999996] 935.5388323636666
8208 "26974" "7317010" 39666 "19491" "Plungės autobusų stotis" [55.918779,21.851513000000004] 152.03315218543798
13426 "2821" "45017" 3844 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
883 "29615" "7432118" 47039 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
7234 "29616" "7432119" 47087 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
321 "21886" "7846809" 114582 "5846" "Grūtas" [54.032271447911626,24.074587772943918] 103.01117636409927
172 "21885" "7847163" 119417 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
888 "21887" "7847087" 118329 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
441 "21891" "7846864" 115320 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
440 "21865" "7846863" 115277 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
149 "21872" "7847138" 119041 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
9729 "10745" "432217" 15426 "8484" "Mokykla" [55.513561,26.317414] 128.25393944619788
7831 "29329" "7418310" 45821 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
3655 "29328" "7418309" 45798 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
13541 "3339" "46943" 5411 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
7844 "9923" "432216" 15425 "9340" "Mokykla" [55.512857000000004,26.315831] 134.01174852768767
12716 "2906" "43487" 2688 "8484" "Mokykla" [55.513561,26.317414] 128.25393944619788
4526 "18654" "3218451" 26401 "67434" "Geluva" [55.249732,23.511073] 140.46827403515317
5864 "32206" "7476583" 51981 "48065" "Troškūnų g." [55.521214350005486,25.097709664383384] 523.8519190658676
5864 "32206" "7476583" 51982 "48066" "Geležinkelio stotis" [55.526276,25.103853] 785.72734673045
5864 "32206" "7476583" 51983 "48068" "Kalno parduotuvė" [55.526598,25.099623999999995] 574.8082135251354
5864 "32206" "7476583" 51986 "48071" "Pušyno mikrorajonas" [55.521132,25.115296] 658.3695095777266
5864 "32206" "7476583" 51991 "48070" "Žiburio g." [55.525912999999996,25.113931000000004] 146.43308427108235
13048 "3899" "46086" 4540 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
9880 "11705" "747606" 15584 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
10591 "6511" "54507" 9865 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
10214 "6509" "54501" 9811 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
12698 "3013" "43693" 2967 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
10593 "6513" "54509" 9889 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
12988 "3014" "43692" 2952 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
13052 "3028" "45483" 3907 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
4352 "29093" "7413976" 43541 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
4351 "29092" "7413975" 43511 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
11352 "5232" "56646" 9991 "14684" "Lieplaukalė" [55.9354974471734,21.831098374058865] 152.04079667279404
6303 "29420" "7429613" 46419 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
13429 "3514" "45563" 4002 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
13001 "3537" "45591" 4075 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
14436 "17131" "2515700" 23801 "16347" "Sudervė" [54.761036,25.063001999999997] 2603.225038082936
13053 "3574" "45644" 4076 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
1335 "38037" "7882502" 139272 "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.
10051 "13808" "1228372" 17767 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 17766 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
9436 "35668" "7652364" 68314 "20855" "Kontariškiai" [56.04984708813942,24.383280063416947] 68313 "20829" "Smegduobių parkas" [56.056377166218944,24.39590345350891]
9562 "17480" "2657524" 24190 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 24189 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
13976 "22910" "4981065" 34086 "44981" "Apušėliai" [56.058900282912056,23.196604001375526] 34085 "23941" "Žiogai" [56.04871914929978,23.214028627477276]
unknown_column INFO 32

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.
"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