GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2025-05-21T15:20:42+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: 36
  • Blocks: 0
  • Routes: 1183
  • Shapes: 3075
  • Stops: 10763
  • Trips: 20567

Specification Compliance report

109758 notices reported (0 errors, 109725 warnings, 33 infos)

Notice Code Severity Total
duplicate_route_name WARNING 3

duplicate_route_name

Two distinct routes have either the same route_short_name, the same route_long_name, or the same combination of route_short_name and route_long_name.

All routes of the same route_type with the same agency_id should have unique combinations of route_short_name and route_long_name.

Note that there may be valid cases where routes have the same short and long name, e.g., if they serve different areas. However, different directions must be modeled as the same route.

Example of bad data:

route_id route_short_name route_long_name
route1 U1 Southern
route2 U1 Southern

You can see more about this notice here.

csvRowNumber1 (?) The row number of the first occurrence. routeId1 (?) The id of the the first occurrence. csvRowNumber2 (?) The row number of the other occurrence. routeId2 (?) The id of the the other occurrence. routeShortName (?) Common `routes.route_short_name`. routeLongName (?) Common `routes.route_long_name`. routeTypeValue (?) Common `routes.route_type`. agencyId (?) Common `routes.agency_id`.
114 "16021" 194 "6209" "M1" "Alytus - Geniai" 3 "48"
742 "16052" 829 "6212" "M23" "Alytus - Punia - Butrimonys - Eigirdonys" 3 "48"
343 "3645" 1087 "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" 362893 35929.8 642 362892 35929.8 641 0.11119510090982554
"2369" 346512 63265.5 1261 346511 63265.5 1260 0.11119510090982554
"2385" 566075 69168.3 1771 566074 69168.3 1770 0.06441976500794575
"28733" 2222554 71509.2 1569 2222553 71509.2 1568 0.06441976500794575
"1919" 745064 136875.8 2842 745063 136875.8 2841 0.12752942403551987
"1919" 745067 136876.0 2845 745066 136876.0 2844 0.11119510090982554
"1919" 745074 136876.5 2852 745073 136876.5 2851 0.11119510232447394
"1919" 745077 136876.7 2855 745076 136876.7 2854 0.11119510161714974
"1919" 745080 136876.9 2858 745079 136876.9 2857 0.12752941555597483
"1919" 745089 136877.5 2867 745088 136877.5 2866 0.11119510090982554
"1919" 745092 136877.7 2870 745091 136877.7 2869 0.11119510161714974
"1919" 745095 136877.9 2873 745094 136877.9 2872 0.11119510090982554
"1919" 745102 136878.4 2880 745101 136878.4 2879 0.11119510090982554
"1919" 745105 136878.6 2883 745104 136878.6 2882 0.11119510161714974
"1919" 745114 136879.2 2892 745113 136879.2 2891 0.11119510090982554
"1919" 745117 136879.4 2895 745116 136879.4 2894 0.12752939825777979
"1919" 745120 136879.6 2898 745119 136879.6 2897 0.11119510161714974
"1919" 745129 136880.2 2907 745128 136880.2 2906 0.11119510161714974
"1919" 745133 136880.5 2911 745132 136880.5 2910 0.06244513630731429
"1919" 745139 136880.9 2917 745138 136880.9 2916 0.11119510161714974
"1919" 745142 136881.1 2920 745141 136881.1 2919 0.11119510090982554
"1919" 745145 136881.3 2923 745144 136881.3 2922 0.11119510090982554
"1919" 745154 136881.9 2932 745153 136881.9 2931 0.12752938095958766
"1919" 745157 136882.1 2935 745156 136882.1 2934 0.11119510161714974
"1919" 745168 136882.8 2946 745167 136882.8 2945 0.11119510161714974
"1919" 745173 136883.1 2951 745172 136883.1 2950 0.11119510161714974
"1919" 745181 136883.6 2959 745180 136883.6 2958 0.11119510090982554
"1919" 745186 136883.9 2964 745185 136883.9 2963 0.11119510090982554
"1919" 745199 136884.7 2977 745198 136884.7 2976 0.11119510161714974
"1919" 745201 136884.8 2979 745200 136884.8 2978 0.11119510090982554
"1919" 745204 136885.0 2982 745203 136885.0 2981 0.11119510161714974
"1919" 745212 136885.5 2990 745211 136885.5 2989 0.1275293557985862
"1919" 745214 136885.6 2992 745213 136885.6 2991 0.11119510161714974
"1919" 745217 136885.8 2995 745216 136885.8 2994 0.11119510090982554
"1919" 745219 136885.9 2997 745218 136885.9 2996 0.11119510232447394
"1919" 745225 136886.3 3003 745224 136886.3 3002 0.06244505260741443
"1919" 745230 136886.6 3008 745229 136886.6 3007 0.11119510161714974
"1919" 745232 136886.7 3010 745231 136886.7 3009 0.11119510090982554
"1919" 745235 136886.9 3013 745234 136886.9 3012 0.11119510090982554
"1919" 745237 136887.0 3015 745236 136887.0 3014 0.11119510090982554
"1919" 745243 136887.4 3021 745242 136887.4 3020 0.11119510090982554
"1919" 745245 136887.5 3023 745244 136887.5 3022 0.11119510161714974
"1919" 745248 136887.7 3026 745247 136887.7 3025 0.11119510090982554
"1919" 745250 136887.8 3028 745249 136887.8 3027 0.11119510161714974
"1919" 745261 136888.5 3039 745260 136888.5 3038 0.11119510161714974
"1919" 745263 136888.6 3041 745262 136888.6 3040 0.11119510090982554
"1919" 745266 136888.8 3044 745265 136888.8 3043 0.11119510090982554
"1919" 745275 136889.4 3053 745274 136889.4 3052 0.11119510161714974
"1919" 745277 136889.5 3055 745276 136889.5 3054 0.11119510090982554
"1919" 745280 136889.7 3058 745279 136889.7 3057 0.11119510161714974
equal_shape_distance_same_coordinates WARNING 5205

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 5205 affected records are displayed below.

shapeId (?) The id of the faulty shape. csvRowNumber (?) The row number from `shapes.txt`. shapeDistTraveled (?) Actual distance traveled along the shape from the first shape point to the faulty record. shapePtSequence (?) The faulty record's `shapes.shape_pt_sequence`. prevCsvRowNumber (?) The row number from `shapes.txt` of the previous shape point. prevShapeDistTraveled (?) Actual distance traveled along the shape from the first shape point to the previous shape point. prevShapePtSequence (?) The previous record's `shapes.shape_pt_sequence`.
"29239" 2464070 160069.3 3319 2464069 160069.3 3318
"3699" 527125 17853.2 141 527124 17853.2 140
"3699" 527150 19846.6 166 527149 19846.6 165
"3699" 527161 21672.8 177 527160 21672.8 176
"3699" 527168 22751.5 184 527167 22751.5 183
"3699" 527172 24107.8 188 527171 24107.8 187
"3699" 527177 25643.1 193 527176 25643.1 192
"3699" 527204 29354.5 220 527203 29354.5 219
"3699" 527209 30889.8 225 527208 30889.8 224
"3699" 527213 32246.1 229 527212 32246.1 228
"3699" 527220 33324.8 236 527219 33324.8 235
"3699" 527231 35151.0 247 527230 35151.0 246
"3699" 527256 37144.4 272 527255 37144.4 271
"38156" 2983988 747.6 15 2983987 747.6 14
"38156" 2983996 922.0 23 2983995 922.0 22
"38156" 2984050 2228.4 77 2984049 2228.4 76
"38156" 2984059 2559.2 86 2984058 2559.2 85
"38156" 2984074 3241.7 101 2984073 3241.7 100
"38156" 2984087 3699.6 114 2984086 3699.6 113
"38156" 2984102 4429.8 129 2984101 4429.8 128
"38156" 2984114 4825.7 141 2984113 4825.7 140
"38156" 2984142 5646.2 169 2984141 5646.2 168
"38156" 2984166 6164.4 193 2984165 6164.4 192
"38156" 2984175 6481.8 202 2984174 6481.8 201
"38156" 2984196 7319.4 223 2984195 7319.4 222
"38156" 2984204 7777.9 231 2984203 7777.9 230
"38156" 2984245 8999.5 272 2984244 8999.5 271
"38156" 2984290 10364.8 317 2984289 10364.8 316
"38156" 2984315 11099.3 342 2984314 11099.3 341
"38156" 2984347 11964.7 374 2984346 11964.7 373
"38156" 2984389 13070.7 416 2984388 13070.7 415
"38156" 2984459 15129.2 486 2984458 15129.2 485
"38159" 3078401 3211.0 65 3078400 3211.0 64
"38159" 3078470 5371.4 134 3078469 5371.4 133
"38159" 3078514 6566.5 178 3078513 6566.5 177
"38159" 3078547 7397.6 211 3078546 7397.6 210
"38159" 3078570 8077.3 234 3078569 8077.3 233
"38159" 3078615 9442.6 279 3078614 9442.6 278
"38159" 3078656 10678.3 320 3078655 10678.3 319
"38159" 3078666 11160.7 330 3078665 11160.7 329
"38159" 3078685 11927.0 349 3078684 11927.0 348
"38159" 3078694 12325.8 358 3078693 12325.8 357
"38159" 3078718 12796.0 382 3078717 12796.0 381
"38159" 3078749 13647.5 413 3078748 13647.5 412
"38159" 3078758 14043.1 422 3078757 14043.1 421
"38159" 3078775 14850.3 439 3078774 14850.3 438
"38159" 3078784 15124.5 448 3078783 15124.5 447
"38159" 3078801 15822.1 465 3078800 15822.1 464
"38159" 3078810 16213.8 474 3078809 16213.8 473
"4124" 865852 212232.8 3475 865851 212232.8 3474
expired_calendar WARNING 12

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.
1060 "47985"
1848 "678"
1316 "48071"
25 "48073"
1315 "48062"
802 "48492"
17 "43774"
247 "1256"
1850 "860"
1872 "24602"
1603 "48594"
1035 "973"
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.
416 "2699" "7597128"
417 "2699" "7597129"
418 "2699" "7597130"
419 "2699" "7597131"
420 "2699" "7597132"
5530 "2699" "7597021"
5557 "2699" "7597203"
5560 "2699" "7597204"
5648 "2699" "7597205"
5649 "2699" "7597206"
5650 "2699" "7597207"
5651 "2699" "7597208"
5740 "2699" "7597170"
5742 "2699" "7597171"
5743 "2699" "7597172"
5745 "2699" "7597173"
5828 "2699" "7597209"
5829 "2699" "7597210"
5830 "2699" "7597211"
5831 "2699" "7597212"
6125 "2699" "7597169"
6513 "2699" "7597174"
6514 "2699" "7597180"
6515 "2699" "7597181"
6516 "2699" "7597175"
6517 "2699" "7597176"
6518 "2699" "7597177"
6519 "2699" "7597178"
6610 "2699" "7597179"
6718 "2699" "7597182"
6719 "2699" "7597183"
6721 "2699" "7597184"
6722 "2699" "7597185"
6809 "2699" "7597186"
6810 "2699" "7597187"
6811 "2699" "7597188"
6813 "2699" "7597189"
6923 "2699" "7597190"
6924 "2699" "7597191"
6925 "2699" "7597192"
6926 "2699" "7597193"
6927 "2699" "7597194"
6928 "2699" "7597195"
6929 "2699" "7597196"
6930 "2699" "7597197"
6931 "2699" "7597198"
7080 "2699" "7597199"
7082 "2699" "7597200"
7083 "2699" "7597201"
7084 "2699" "7597202"
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 186

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 186 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" 51
"routes.txt" "route_long_name" "JONAVA-ŠĖTA" 73
"routes.txt" "route_long_name" "ŠVENČIONYS-PABRADĖ-VILNIUS-PABRADĖ-ŠVENČIONYS" 164
"routes.txt" "route_long_name" "RIMKAI-MAXIMA-ŠVEICARIJA" 174
"routes.txt" "route_long_name" "JONAVA-RUKLA" 178
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS, KANDRĖNUS, LAIČIUS" 246
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 299
"routes.txt" "route_long_name" "JONAVA-PREIŠIOGALĖLĖ-ŽINĖNAI-JONAVA" 302
"routes.txt" "route_long_name" "JONAVA-BUKONYS" 362
"routes.txt" "route_long_name" "JONAVA-UPININKAI" 366
"routes.txt" "route_long_name" "JONAVA-ŽINĖNAI-PREIŠIOGALĖLĖ-JONAVA" 439
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 452
"routes.txt" "route_long_name" "JONAVA-KAUNAS" 473
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER KANDRĖNUS, LAIČIUS" 495
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI" 520
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 630
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 644
"routes.txt" "route_long_name" "JONAVA-JUŠKONYS" 664
"routes.txt" "route_long_name" "JONAVA-ŽEIMIAI" 665
"routes.txt" "route_long_name" "JONAVA-KĖDAINIAI" 738
"routes.txt" "route_long_name" "JONAVA - PAGELEŽIAI" 810
"routes.txt" "route_long_name" "KUPIŠKIS - ANTAŠAVA" 823
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-JUODMENA-RIMKAI" 875
"routes.txt" "route_long_name" "ŠVENČIONYS-ADUTIŠKIS-JAKELIAI-ADUTIŠKIS-ŠVENČIONYS" 903
"routes.txt" "route_long_name" "JONAVA-GAIŽIŪNŲ STOTIS" 927
"routes.txt" "route_long_name" "PASVALYS-ŽILPAMŪŠIS PER TETIRVINUS" 939
"routes.txt" "route_long_name" "JONAVA-KULVA" 952
"routes.txt" "route_long_name" "KUPIŠKIS – PANEVĖŽYS" 962
"routes.txt" "route_long_name" "KUPIŠKIS – ŠIMONYS PER MIGONIS" 973
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS" 1014
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI-BUKONYS-ŠILAI-JONAVA" 1024
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-GLOBOS NAMAI-RIMKAI" 1067
"routes.txt" "route_long_name" "JONAVA-KULVA PER JUODMENĄ" 1074
"routes.txt" "route_long_name" "KUPIŠKIS – VAINIŪNIŠKIS (PER PALĖVENĖLĘ) – KUPIŠKIS" 1088
"routes.txt" "route_long_name" "KUPIŠKIS – LAIČIAI PER KANDRĖNUS, SKAPIŠKIO MSTL." 1112
"routes.txt" "route_long_name" "KUPIŠKIS – ALIZAVA PER PALĖVENĖLĘ – KUPIŠKIS" 1119
"routes.txt" "route_long_name" "PASVALYS-GULBINĖNAI PER KRINČINĄ" 1126
"routes.txt" "route_long_name" "KUPIŠKIS – SUBAČIAUS MST. PER LUKONIS" 1148
"routes.txt" "route_long_name" "JONAVA-KUIGALIAI PER NAUJASODĮ" 1175
"stops.txt" "stop_name" "11-as kilometras" 49
"stops.txt" "stop_name" "16-sis kilometras" 71
"stops.txt" "stop_name" "13-sis kilometras" 81
"stops.txt" "stop_name" "padago" 425
"stops.txt" "stop_name" "IKI prekybos centras" 718
"stops.txt" "stop_name" "III km." 742
"stops.txt" "stop_name" "IKI parduotuvė" 965
"stops.txt" "stop_name" "HARJU ELEKTER" 978
"stops.txt" "stop_name" "KTU inžinerijos licėjus" 1133
"stops.txt" "stop_name" "1-ojo forto g." 1160
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.
12053 "3636" "45756" 4112 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
12054 "3651" "45771" 4141 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
11652 "3653" "45773" 4142 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
2775 "26974" "7317012" 38729 "14216" "Glaudžiai" [55.90637400000001,21.877556999999996] 1731.1842381583824
2775 "26974" "7317012" 38730 "10163" "Glaudžiai I" [55.90637400000001,21.877556999999996] 935.5388323636666
2775 "26974" "7317012" 38745 "19491" "Plungės autobusų stotis" [55.918779,21.851513000000004] 152.03315218543798
7857 "10745" "432217" 15200 "8484" "Mokykla" [55.513561,26.317414] 128.25393944619788
16507 "29329" "7418310" 44790 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
4493 "29328" "7418309" 44767 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
16029 "9923" "432216" 15199 "9340" "Mokykla" [55.512857000000004,26.315831] 134.01174852768767
4715 "18654" "3218451" 25650 "67434" "Geluva" [55.249732,23.511073] 140.46827403515317
18838 "32206" "7476583" 50936 "48065" "Troškūnų g." [55.521214350005486,25.097709664383384] 523.8519190658676
18838 "32206" "7476583" 50937 "48066" "Geležinkelio stotis" [55.526276,25.103853] 785.72734673045
18838 "32206" "7476583" 50938 "48068" "Kalno parduotuvė" [55.526598,25.099623999999995] 574.8082135251354
18838 "32206" "7476583" 50941 "48071" "Pušyno mikrorajonas" [55.521132,25.115296] 658.3695095777266
18838 "32206" "7476583" 50946 "48070" "Žiburio g." [55.525912999999996,25.113931000000004] 146.43308427108235
11696 "3899" "46086" 4466 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
11611 "3013" "43693" 2916 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
11636 "3014" "43692" 2901 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
11935 "3028" "45483" 3856 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
17776 "29420" "7429613" 45388 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
1146 "38372" "7906866" 305248 "70878" "Šveicarija" [55.04546,24.25836] 149.18478145589043
11868 "22910" "4973791" 32633 "24190" "Maldeniai" [56.08905,23.080025999999993] 114.55535215311666
12036 "4529" "46899" 5336 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
12048 "4527" "47691" 6367 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
11993 "4528" "47692" 6368 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
4950 "14622" "7150732" 37034 "14754" "Naiviai" [55.84397975379556,25.145549112350125] 765.6219655883444
1793 "18184" "2933102" 25053 "24190" "Maldeniai" [56.08905,23.080025999999993] 114.55535215311666
11046 "18185" "2933105" 25067 "24190" "Maldeniai" [56.08905,23.080025999999993] 114.55535215311666
12022 "2821" "45017" 3793 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
1382 "29615" "7432118" 46008 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
14876 "29616" "7432119" 46056 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
1111 "21886" "7847213" 108677 "5846" "Grūtas" [54.032271447911626,24.074587772943918] 103.01117636409927
1052 "21885" "7847195" 108435 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
1387 "21887" "7847087" 106933 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
1133 "21891" "7846924" 104716 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
1410 "21865" "7847347" 110328 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
1040 "21872" "7846899" 104366 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
12346 "3339" "46943" 5337 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
11629 "2906" "43487" 2637 "8484" "Mokykla" [55.513561,26.317414] 128.25393944619788
10800 "11705" "747606" 15358 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
9619 "6511" "54507" 9639 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
9236 "6509" "54501" 9585 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
9621 "6513" "54509" 9663 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
2005 "29093" "7413976" 42510 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
2004 "29092" "7413975" 42480 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
10387 "5232" "56646" 9765 "14684" "Lieplaukalė" [55.9354974471734,21.831098374058865] 152.04079667279404
12025 "3514" "45563" 3951 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
11649 "3537" "45591" 4024 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
9307 "17131" "2515700" 23050 "16347" "Sudervė" [54.761036,25.063001999999997] 2603.225038082936
stops_match_shape_out_of_order WARNING 5

stops_match_shape_out_of_order

Two stop entries are different than their arrival-departure order defined by shapes.txt.

This could indicate a problem with the location of the stops, the path of the shape, or the sequence of the stops for their trip.

You can see more about this notice here.

tripCsvRowNumber (?) The row number of the faulty record from `trips.txt`. shapeId (?) The id of the shape that is referred to. tripId (?) The id of the trip that is referred to. stopTimeCsvRowNumber1 (?) The row number of the first faulty record from `stop_times.txt`. stopId1 (?) The id of the first stop that is referred to. stopName1 (?) The name of the first stop that is referred to. match1 (?) Latitude and longitude pair of the first matching location. stopTimeCsvRowNumber2 (?) The row number of the second faulty record from `stop_times.txt`. stopId2 (?) The id of the second stop that is referred to. stopName2 (?) The name of the second stop that is referred to. match2 (?) Latitude and longitude pair of the second matching location.
8223 "13808" "1228372" 17535 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 17534 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
10714 "17480" "2657524" 23439 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 23438 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
3743 "22910" "4981065" 33127 "44981" "Apušėliai" [56.058900282912056,23.196604001375526] 33126 "23941" "Žiogai" [56.04871914929978,23.214028627477276]
6552 "35668" "7652364" 67540 "20855" "Kontariškiai" [56.04984708813942,24.383280063416947] 67539 "20829" "Smegduobių parkas" [56.056377166218944,24.39590345350891]
14 "29102" "7413991" 42604 "71231" "Žuvintai" [54.448579423202126,23.62330650767253] 42603 "71255" "Litvanciškai" [54.41436513808293,23.67340583550103]
unknown_column INFO 33

unknown_column

A column name is unknown.

You can see more about this notice here.

filename (?) The name of the faulty file. fieldName (?) The name of the unknown column. index (?) The index of the faulty column.
"attributions.txt" "id" 3
"fare_attributes.txt" "journey_duration" 8
"routes.txt" "eligibility_restricted" 11
"routes.txt" "bikes_allowed" 12
"routes.txt" "regional_fare_card" 14
"stops.txt" "stop_direction" 12
"stops.txt" "vehicle_type" 14
"stops.txt" "mta_stop_id" 17
"stops.txt" "regional_fare_card" 18
"stop_times.txt" "start_service_area_id" 1
"stop_times.txt" "end_service_area_id" 2
"stop_times.txt" "note_id" 5
"stop_times.txt" "to_stop_sequence" 16
"stop_times.txt" "route_short_name" 18
"stop_times.txt" "start_service_area_radius" 24
"stop_times.txt" "end_service_area_radius" 25
"stop_times.txt" "fare_period_id" 26
"stop_times.txt" "departure_buffer" 27
"stop_times.txt" "track" 28
"stop_times.txt" "mean_duration_factor" 29
"stop_times.txt" "mean_duration_offset" 30
"stop_times.txt" "safe_duration_factor" 31
"stop_times.txt" "safe_duration_offset" 32
"stop_times.txt" "free_running_flag" 33
"trips.txt" "note_id" 2
"trips.txt" "mean_duration_factor" 12
"trips.txt" "mean_duration_offset" 13
"trips.txt" "safe_duration_factor" 14
"trips.txt" "safe_duration_offset" 15
"trips.txt" "cars_allowed" 16
"trips.txt" "peak_offpeak" 17
"trips.txt" "mta_trip_id" 18
"trips.txt" "boarding_type" 19