GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2025-07-06T06:06:00+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: 40
  • Blocks: 0
  • Routes: 1071
  • Shapes: 2865
  • Stops: 10412
  • Trips: 18538

Specification Compliance report

110258 notices reported (0 errors, 110225 warnings, 33 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`.
664 "16052" 756 "6212" "M23" "Alytus - Punia - Butrimonys - Eigirdonys" 3 "48"
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.
"39052" 71257 17654.0 367 71256 17654.0 366 0.06308593794989874
"2328" 360357 35929.8 642 360356 35929.8 641 0.11119510090982554
"32404" 2339558 13453.5 454 2339557 13453.5 453 0.06256821099246385
"2369" 345697 63265.5 1261 345696 63265.5 1260 0.11119510090982554
"2385" 533458 69168.3 1771 533457 69168.3 1770 0.06441976500794575
"4571" 856674 11713.3 325 856673 11713.3 324 0.06234682915415588
"4571" 856675 11713.3 326 856674 11713.3 325 0.06234682915415588
"36843" 2608501 81036.6 2372 2608500 81036.6 2371 0.06230995253378047
"28733" 2090663 71509.2 1569 2090662 71509.2 1568 0.06441976500794575
"1919" 693861 136875.8 2842 693860 136875.8 2841 0.12752942403551987
"1919" 693864 136876.0 2845 693863 136876.0 2844 0.11119510090982554
"1919" 693871 136876.5 2852 693870 136876.5 2851 0.11119510232447394
"1919" 693874 136876.7 2855 693873 136876.7 2854 0.11119510161714974
"1919" 693877 136876.9 2858 693876 136876.9 2857 0.12752941555597483
"1919" 693886 136877.5 2867 693885 136877.5 2866 0.11119510090982554
"1919" 693889 136877.7 2870 693888 136877.7 2869 0.11119510161714974
"1919" 693892 136877.9 2873 693891 136877.9 2872 0.11119510090982554
"1919" 693899 136878.4 2880 693898 136878.4 2879 0.11119510090982554
"1919" 693902 136878.6 2883 693901 136878.6 2882 0.11119510161714974
"1919" 693911 136879.2 2892 693910 136879.2 2891 0.11119510090982554
"1919" 693914 136879.4 2895 693913 136879.4 2894 0.12752939825777979
"1919" 693917 136879.6 2898 693916 136879.6 2897 0.11119510161714974
"1919" 693926 136880.2 2907 693925 136880.2 2906 0.11119510161714974
"1919" 693930 136880.5 2911 693929 136880.5 2910 0.06244513630731429
"1919" 693936 136880.9 2917 693935 136880.9 2916 0.11119510161714974
"1919" 693939 136881.1 2920 693938 136881.1 2919 0.11119510090982554
"1919" 693942 136881.3 2923 693941 136881.3 2922 0.11119510090982554
"1919" 693951 136881.9 2932 693950 136881.9 2931 0.12752938095958766
"1919" 693954 136882.1 2935 693953 136882.1 2934 0.11119510161714974
"1919" 693965 136882.8 2946 693964 136882.8 2945 0.11119510161714974
"1919" 693970 136883.1 2951 693969 136883.1 2950 0.11119510161714974
"1919" 693978 136883.6 2959 693977 136883.6 2958 0.11119510090982554
"1919" 693983 136883.9 2964 693982 136883.9 2963 0.11119510090982554
"1919" 693996 136884.7 2977 693995 136884.7 2976 0.11119510161714974
"1919" 693998 136884.8 2979 693997 136884.8 2978 0.11119510090982554
"1919" 694001 136885.0 2982 694000 136885.0 2981 0.11119510161714974
"1919" 694009 136885.5 2990 694008 136885.5 2989 0.1275293557985862
"1919" 694011 136885.6 2992 694010 136885.6 2991 0.11119510161714974
"1919" 694014 136885.8 2995 694013 136885.8 2994 0.11119510090982554
"1919" 694016 136885.9 2997 694015 136885.9 2996 0.11119510232447394
"1919" 694022 136886.3 3003 694021 136886.3 3002 0.06244505260741443
"1919" 694027 136886.6 3008 694026 136886.6 3007 0.11119510161714974
"1919" 694029 136886.7 3010 694028 136886.7 3009 0.11119510090982554
"1919" 694032 136886.9 3013 694031 136886.9 3012 0.11119510090982554
"1919" 694034 136887.0 3015 694033 136887.0 3014 0.11119510090982554
"1919" 694040 136887.4 3021 694039 136887.4 3020 0.11119510090982554
"1919" 694042 136887.5 3023 694041 136887.5 3022 0.11119510161714974
"1919" 694045 136887.7 3026 694044 136887.7 3025 0.11119510090982554
"1919" 694047 136887.8 3028 694046 136887.8 3027 0.11119510161714974
"1919" 694058 136888.5 3039 694057 136888.5 3038 0.11119510161714974
equal_shape_distance_same_coordinates WARNING 5624

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 5624 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`.
"39068" 1385616 1205.5 24 1385615 1205.5 23
"39068" 1385797 12631.5 205 1385796 12631.5 204
"39068" 1385953 20843.7 361 1385952 20843.7 360
"39068" 1386107 27437.5 515 1386106 27437.5 514
"39068" 1386154 29887.0 562 1386153 29887.0 561
"39068" 1386226 32834.7 634 1386225 32834.7 633
"39068" 1386280 35707.7 688 1386279 35707.7 687
"39068" 1386361 38702.0 769 1386360 38702.0 768
"39068" 1386437 42593.6 845 1386436 42593.6 844
"39068" 1386466 44406.1 874 1386465 44406.1 873
"39068" 1386483 46457.2 891 1386482 46457.2 890
"39068" 1386538 50053.0 946 1386537 50053.0 945
"39068" 1386575 52038.7 983 1386574 52038.7 982
"39068" 1386615 54228.5 1023 1386614 54228.5 1022
"39068" 1386685 57770.6 1093 1386684 57770.6 1092
"39068" 1386753 61758.5 1161 1386752 61758.5 1160
"39068" 1387016 73543.5 1424 1387015 73543.5 1423
"39068" 1387167 76707.2 1575 1387166 76707.2 1574
"39068" 1387200 79048.7 1608 1387199 79048.7 1607
"39068" 1387256 83186.9 1664 1387255 83186.9 1663
"39068" 1387338 86670.2 1746 1387337 86670.2 1745
"39068" 1387419 88600.8 1827 1387418 88600.8 1826
"39068" 1387513 91992.0 1921 1387512 91992.0 1920
"39068" 1387635 96103.6 2043 1387634 96103.6 2042
"39068" 1387814 100996.3 2222 1387813 100996.3 2221
"39068" 1387991 107481.4 2399 1387990 107481.4 2398
"39068" 1388348 118217.0 2756 1388347 118217.0 2755
"39068" 1388513 123890.4 2921 1388512 123890.4 2920
"39068" 1388581 129182.9 2989 1388580 129182.9 2988
"39068" 1388692 134007.2 3100 1388691 134007.2 3099
"39068" 1388781 139284.0 3189 1388780 139284.0 3188
"39068" 1388865 143222.0 3273 1388864 143222.0 3272
"39068" 1388916 145499.9 3324 1388915 145499.9 3323
"39068" 1389021 147266.4 3429 1389020 147266.4 3428
"39068" 1389053 149266.7 3461 1389052 149266.7 3460
"39068" 1389187 156197.5 3595 1389186 156197.5 3594
"39068" 1389299 159334.4 3707 1389298 159334.4 3706
"39068" 1389408 165426.5 3816 1389407 165426.5 3815
"39068" 1389432 166935.7 3840 1389431 166935.7 3839
"39068" 1389558 177154.4 3966 1389557 177154.4 3965
"39068" 1389652 185229.3 4060 1389651 185229.3 4059
"39068" 1389817 195188.5 4225 1389816 195188.5 4224
"39068" 1389890 196726.1 4298 1389889 196726.1 4297
"39068" 1390225 214819.6 4633 1390224 214819.6 4632
"39068" 1390411 224192.7 4819 1390410 224192.7 4818
"39068" 1390488 227224.2 4896 1390487 227224.2 4895
"2795" 648438 137085.3 3378 648437 137085.3 3377
"40022" 767890 8825.9 273 767889 8825.9 272
"40022" 768698 51318.9 1081 768697 51318.9 1080
"40022" 768800 56436.0 1183 768799 56436.0 1182
expired_calendar WARNING 38

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.
70 "1461"
1505 "2789"
1213 "2796"
1536 "60928"
1537 "60959"
1513 "44833"
1223 "47985"
2147 "678"
13 "2801"
605 "2800"
1506 "2806"
2176 "44819"
639 "60890"
2162 "2848"
1521 "48071"
25 "48073"
1833 "2938"
1520 "48062"
927 "48492"
17 "43774"
298 "1256"
1507 "3047"
2170 "24602"
1834 "3086"
1853 "48594"
2160 "2688"
12 "2697"
1197 "973"
14 "6675"
914 "6669"
606 "10038"
910 "2705"
604 "2713"
1503 "2726"
911 "2734"
1504 "2731"
348 "60347"
2161 "2773"
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.
1820 "2699" "7597169"
5701 "2699" "7597190"
5702 "2699" "7597191"
5703 "2699" "7597192"
5704 "2699" "7597193"
5705 "2699" "7597194"
5706 "2699" "7597195"
5707 "2699" "7597196"
5708 "2699" "7597197"
5709 "2699" "7597198"
5716 "2699" "7597132"
5786 "2699" "7597133"
5787 "2699" "7597134"
5788 "2699" "7597135"
5789 "2699" "7597136"
5790 "2699" "7597137"
5791 "2699" "7597138"
5792 "2699" "7597139"
5867 "2699" "7597199"
5869 "2699" "7597200"
5870 "2699" "7597201"
5871 "2699" "7597202"
5956 "2699" "7597203"
5959 "2699" "7597204"
6043 "2699" "7597205"
6044 "2699" "7597206"
6045 "2699" "7597207"
6046 "2699" "7597208"
6164 "2699" "7597209"
6165 "2699" "7597210"
6166 "2699" "7597211"
6167 "2699" "7597212"
6397 "2699" "7597021"
6629 "2699" "7597170"
6630 "2699" "7597171"
6631 "2699" "7597172"
6632 "2699" "7597173"
6672 "2699" "7597174"
6673 "2699" "7597180"
6676 "2699" "7597181"
6677 "2699" "7597175"
6678 "2699" "7597176"
6679 "2699" "7597177"
6680 "2699" "7597178"
6796 "2699" "7597182"
6797 "2699" "7597183"
6798 "2699" "7597184"
6799 "2699" "7597185"
6917 "2699" "7597186"
6918 "2699" "7597187"
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 245

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 245 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\"" 40
"routes.txt" "route_long_name" "JONAVA-KULVA" 40
"routes.txt" "route_long_name" "JONAVA-RUKLA" 41
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-GLOBOS NAMAI-RIMKAI" 42
"routes.txt" "route_long_name" "ŠVENČIONYS-ŠUTONYS-ŠVENČIONYS" 93
"routes.txt" "route_long_name" "JONAVA-BUKONYS" 186
"routes.txt" "route_long_name" "ŠVENČIONYS-PABRADĖ-VILNIUS-PABRADĖ-ŠVENČIONYS" 194
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS, KANDRĖNUS, LAIČIUS" 208
"routes.txt" "route_long_name" "JONAVA-PREIŠIOGALĖLĖ-ŽINĖNAI-JONAVA" 258
"routes.txt" "route_long_name" "JONAVA-KAUNAS" 318
"routes.txt" "route_long_name" "JONAVA-JUŠKONYS" 319
"routes.txt" "route_long_name" "JONAVA-ŽINĖNAI-PREIŠIOGALĖLĖ-JONAVA" 320
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI-BUKONYS-ŠILAI-JONAVA" 321
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER KANDRĖNUS, LAIČIUS" 410
"routes.txt" "route_long_name" "RIMKAI-MAXIMA-ŠVEICARIJA" 436
"routes.txt" "route_long_name" "JONAVA - SB TAUROSTA" 438
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 444
"routes.txt" "route_long_name" "JONAVA-ŽEIMIAI" 501
"routes.txt" "route_long_name" "JONAVA - PAGELEŽIAI" 504
"routes.txt" "route_long_name" "JONAVA-KULVA PER JUODMENĄ" 587
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 589
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-JUODMENA-RIMKAI" 590
"routes.txt" "route_long_name" "JONAVA-KUIGALIAI PER NAUJASODĮ" 593
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 636
"routes.txt" "route_long_name" "JONAVA-KĖDAINIAI" 712
"routes.txt" "route_long_name" "JONAVA-ŠĖTA" 713
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI" 715
"routes.txt" "route_long_name" "KUPIŠKIS - ANTAŠAVA" 721
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS" 849
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 852
"routes.txt" "route_long_name" "ŠVENČIONYS-ADUTIŠKIS-JAKELIAI-ADUTIŠKIS-ŠVENČIONYS" 868
"routes.txt" "route_long_name" "KUPIŠKIS – ŠIMONYS PER MIGONIS" 875
"routes.txt" "route_long_name" "KUPIŠKIS – PANEVĖŽYS" 908
"routes.txt" "route_long_name" "KUPIŠKIS – VAINIŪNIŠKIS (PER PALĖVENĖLĘ) – KUPIŠKIS" 953
"routes.txt" "route_long_name" "KUPIŠKIS – SUBAČIAUS MST. PER LUKONIS" 960
"routes.txt" "route_long_name" "JONAVA-UPININKAI" 981
"routes.txt" "route_long_name" "UKMERGĖ- MIŠNIŪNAI PER LIAUŠIUS" 984
"routes.txt" "route_long_name" "KUPIŠKIS – LAIČIAI PER KANDRĖNUS, SKAPIŠKIO MSTL." 989
"routes.txt" "route_long_name" "KUPIŠKIS – ALIZAVA PER PALĖVENĖLĘ – KUPIŠKIS" 1044
"stops.txt" "stop_name" "140 km" 228
"stops.txt" "stop_name" "9-ojo forto muziejus" 1268
"stops.txt" "stop_name" "7-asis kilometras A" 1295
"stops.txt" "stop_name" "VDU klasikinio ugdymo mokykla" 1334
"stops.txt" "stop_name" "16-sis kilometras" 1692
"stops.txt" "stop_name" "9 kilometras" 1696
"stops.txt" "stop_name" "28 - as km" 1755
"stops.txt" "stop_name" "HARJU ELEKTER UAB" 1963
"stops.txt" "stop_name" "4-asis fortas" 2469
"stops.txt" "stop_name" "6-asis fortas" 2572
"stops.txt" "stop_name" "kulniškiai" 2674
stop_too_far_from_shape WARNING 53

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 53 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.
1118 "3636" "45756" 2863 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
1119 "3651" "45771" 2892 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
994 "3653" "45773" 2893 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
1106 "4529" "46899" 3671 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
1115 "4527" "47691" 4702 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
1080 "4528" "47692" 4703 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
5200 "14622" "7150732" 28698 "14754" "Naiviai" [55.84397975379556,25.145549112350125] 765.6219655883444
15348 "18184" "2933103" 17792 "24190" "Maldeniai" [56.08905,23.080025999999993] 114.55535215311666
15214 "18185" "2933105" 17793 "24190" "Maldeniai" [56.08905,23.080025999999993] 114.55535215311666
6578 "26974" "7317010" 30022 "14216" "Glaudžiai" [55.90637400000001,21.877556999999996] 1731.1842381583824
6578 "26974" "7317010" 30023 "10163" "Glaudžiai I" [55.90637400000001,21.877556999999996] 935.5388323636666
6578 "26974" "7317010" 30038 "19491" "Plungės autobusų stotis" [55.918779,21.851513000000004] 152.03315218543798
1096 "2821" "45017" 2787 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
14514 "29615" "7432118" 37268 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
2371 "29616" "7432119" 37316 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
14517 "21886" "7847085" 67258 "5846" "Grūtas" [54.032271447911626,24.074587772943918] 103.01117636409927
607 "21885" "7846679" 61931 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
14519 "21887" "7847087" 67311 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
14546 "21891" "7847352" 70793 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
14542 "21865" "7847347" 70706 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
14820 "21872" "7847385" 71161 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
7541 "10745" "432217" 10276 "8484" "Mokykla" [55.513561,26.317414] 128.25393944619788
2299 "29329" "7418310" 36126 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
4797 "29328" "7418309" 36103 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
1173 "3339" "46943" 3672 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
2566 "37844" "7870905" 76178 "91578" "Vidgiriai (kryžkelė)" [54.525926,23.216358000000003] 264.82495354003026
10640 "37846" "7870668" 71794 "91654" "Kūlokai" [54.45108200000001,23.396507] 3297.0156004557466
2634 "9923" "432216" 10275 "9340" "Mokykla" [55.512857000000004,26.315831] 134.01174852768767
16439 "37814" "7870743" 73274 "91339" "Sūduva" [54.57502093577935,23.37188570151982] 108.83359346294479
2348 "37804" "7870904" 76171 "91578" "Vidgiriai (kryžkelė)" [54.525926,23.216358000000003] 264.82495354003026
4117 "18654" "3218451" 18294 "67434" "Geluva" [55.249732,23.511073] 140.46827403515317
10010 "28460" "7340053" 32399 "8316" "Tirkšlių paviljonas" [56.262579012838884,22.304642653254728] 376.76730742519857
13616 "32206" "7476583" 40960 "48065" "Troškūnų g." [55.521214350005486,25.097709664383384] 523.8519190658676
13616 "32206" "7476583" 40961 "48066" "Geležinkelio stotis" [55.526276,25.103853] 785.72734673045
13616 "32206" "7476583" 40962 "48068" "Kalno parduotuvė" [55.526598,25.099623999999995] 574.8082135251354
13616 "32206" "7476583" 40965 "48071" "Pušyno mikrorajonas" [55.521132,25.115296] 658.3695095777266
13616 "32206" "7476583" 40970 "48070" "Žiburio g." [55.525912999999996,25.113931000000004] 146.43308427108235
1032 "3899" "46086" 3001 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
16999 "11705" "747606" 10434 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
546 "6511" "54507" 7864 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
444 "6509" "54501" 7810 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
548 "6513" "54509" 7888 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
1086 "3014" "43694" 2026 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
3543 "29093" "7413976" 33979 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
3542 "29092" "7413975" 33949 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
1176 "5232" "48166" 4930 "14684" "Lieplaukalė" [55.9354974471734,21.831098374058865] 152.04079667279404
5026 "29420" "7429613" 36724 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
1698 "40215" "8004069" 368918 "70878" "Šveicarija" [55.04546,24.25836] 149.18478145589043
1097 "3514" "45563" 2810 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
992 "3537" "45591" 2835 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
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.
8292 "13808" "1228372" 12050 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 12049 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
16646 "17480" "2657524" 16200 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 16199 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
2922 "29102" "7413991" 34073 "71231" "Žuvintai" [54.448579423202126,23.62330650767253] 34072 "71255" "Litvanciškai" [54.41436513808293,23.67340583550103]
9389 "22910" "4981065" 25660 "44981" "Apušėliai" [56.058900282912056,23.196604001375526] 25659 "23941" "Žiogai" [56.04871914929978,23.214028627477276]
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