GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2024-12-21T04:14:10+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. 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: 1068
  • Shapes: 2631
  • Stops: 9737
  • Trips: 13721

Specification Compliance report

108773 notices reported (0 errors, 108728 warnings, 45 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`.
286 "3645" 992 "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" 363802 35929.8 642 363801 35929.8 641 0.11119510090982554
"32404" 2459734 13453.5 454 2459733 13453.5 453 0.06256821099246385
"2369" 343765 63265.5 1261 343764 63265.5 1260 0.11119510090982554
"2385" 584308 69168.3 1771 584307 69168.3 1770 0.06441976500794575
"4571" 992345 11713.3 325 992344 11713.3 324 0.06234682915415588
"4571" 992346 11713.3 326 992345 11713.3 325 0.06234682915415588
"36843" 2751893 81036.6 2372 2751892 81036.6 2371 0.06230995253378047
"28733" 2263659 71509.2 1569 2263658 71509.2 1568 0.06441976500794575
"1919" 786026 136875.8 2842 786025 136875.8 2841 0.12752942403551987
"1919" 786029 136876.0 2845 786028 136876.0 2844 0.11119510090982554
"1919" 786036 136876.5 2852 786035 136876.5 2851 0.11119510232447394
"1919" 786039 136876.7 2855 786038 136876.7 2854 0.11119510161714974
"1919" 786042 136876.9 2858 786041 136876.9 2857 0.12752941555597483
"1919" 786051 136877.5 2867 786050 136877.5 2866 0.11119510090982554
"1919" 786054 136877.7 2870 786053 136877.7 2869 0.11119510161714974
"1919" 786057 136877.9 2873 786056 136877.9 2872 0.11119510090982554
"1919" 786064 136878.4 2880 786063 136878.4 2879 0.11119510090982554
"1919" 786067 136878.6 2883 786066 136878.6 2882 0.11119510161714974
"1919" 786076 136879.2 2892 786075 136879.2 2891 0.11119510090982554
"1919" 786079 136879.4 2895 786078 136879.4 2894 0.12752939825777979
"1919" 786082 136879.6 2898 786081 136879.6 2897 0.11119510161714974
"1919" 786091 136880.2 2907 786090 136880.2 2906 0.11119510161714974
"1919" 786095 136880.5 2911 786094 136880.5 2910 0.06244513630731429
"1919" 786101 136880.9 2917 786100 136880.9 2916 0.11119510161714974
"1919" 786104 136881.1 2920 786103 136881.1 2919 0.11119510090982554
"1919" 786107 136881.3 2923 786106 136881.3 2922 0.11119510090982554
"1919" 786116 136881.9 2932 786115 136881.9 2931 0.12752938095958766
"1919" 786119 136882.1 2935 786118 136882.1 2934 0.11119510161714974
"1919" 786130 136882.8 2946 786129 136882.8 2945 0.11119510161714974
"1919" 786135 136883.1 2951 786134 136883.1 2950 0.11119510161714974
"1919" 786143 136883.6 2959 786142 136883.6 2958 0.11119510090982554
"1919" 786148 136883.9 2964 786147 136883.9 2963 0.11119510090982554
"1919" 786161 136884.7 2977 786160 136884.7 2976 0.11119510161714974
"1919" 786163 136884.8 2979 786162 136884.8 2978 0.11119510090982554
"1919" 786166 136885.0 2982 786165 136885.0 2981 0.11119510161714974
"1919" 786174 136885.5 2990 786173 136885.5 2989 0.1275293557985862
"1919" 786176 136885.6 2992 786175 136885.6 2991 0.11119510161714974
"1919" 786179 136885.8 2995 786178 136885.8 2994 0.11119510090982554
"1919" 786181 136885.9 2997 786180 136885.9 2996 0.11119510232447394
"1919" 786187 136886.3 3003 786186 136886.3 3002 0.06244505260741443
"1919" 786192 136886.6 3008 786191 136886.6 3007 0.11119510161714974
"1919" 786194 136886.7 3010 786193 136886.7 3009 0.11119510090982554
"1919" 786197 136886.9 3013 786196 136886.9 3012 0.11119510090982554
"1919" 786199 136887.0 3015 786198 136887.0 3014 0.11119510090982554
"1919" 786205 136887.4 3021 786204 136887.4 3020 0.11119510090982554
"1919" 786207 136887.5 3023 786206 136887.5 3022 0.11119510161714974
"1919" 786210 136887.7 3026 786209 136887.7 3025 0.11119510090982554
"1919" 786212 136887.8 3028 786211 136887.8 3027 0.11119510161714974
"1919" 786223 136888.5 3039 786222 136888.5 3038 0.11119510161714974
"1919" 786225 136888.6 3041 786224 136888.6 3040 0.11119510090982554
equal_shape_distance_same_coordinates WARNING 4216

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 4216 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" 738127 137085.3 3378 738126 137085.3 3377
"4525" 930026 34291.0 619 930025 34291.0 618
"29239" 2490153 160069.3 3319 2490152 160069.3 3318
"3208" 688431 1350.8 11 688430 1350.8 10
"3208" 688453 2748.7 33 688452 2748.7 32
"3208" 688477 7075.0 57 688476 7075.0 56
"3208" 688491 8332.4 71 688490 8332.4 70
"3208" 688502 10190.8 82 688501 10190.8 81
"3208" 688513 12049.1 93 688512 12049.1 92
"3208" 688524 13907.5 104 688523 13907.5 103
"3208" 688535 15765.9 115 688534 15765.9 114
"3208" 688549 17871.7 129 688548 17871.7 128
"3208" 688563 19977.6 143 688562 19977.6 142
"3208" 688577 22083.4 157 688576 22083.4 156
"3208" 688591 24189.3 171 688590 24189.3 170
"3208" 688605 25446.7 185 688604 25446.7 184
"3208" 688629 29773.0 209 688628 29773.0 208
"3208" 688651 31170.9 231 688650 31170.9 230
"3209" 689758 2759.6 33 689757 2759.6 32
"3209" 689782 7085.9 57 689781 7085.9 56
"3209" 689796 8343.3 71 689795 8343.3 70
"3209" 689823 12555.0 98 689822 12555.0 97
"3209" 689844 16271.8 119 689843 16271.8 118
"3209" 689858 17529.2 133 689857 17529.2 132
"3209" 689882 21855.5 157 689881 21855.5 156
"2375" 582231 303574.5 5109 582230 303574.5 5108
"3699" 534315 17853.2 141 534314 17853.2 140
"3699" 534340 19846.6 166 534339 19846.6 165
"3699" 534351 21672.8 177 534350 21672.8 176
"3699" 534358 22751.5 184 534357 22751.5 183
"3699" 534362 24107.8 188 534361 24107.8 187
"3699" 534367 25643.1 193 534366 25643.1 192
"3699" 534394 29354.5 220 534393 29354.5 219
"3699" 534399 30889.8 225 534398 30889.8 224
"3699" 534403 32246.1 229 534402 32246.1 228
"3699" 534410 33324.8 236 534409 33324.8 235
"3699" 534421 35151.0 247 534420 35151.0 246
"3699" 534446 37144.4 272 534445 37144.4 271
"14610" 1523752 22443.4 707 1523751 22443.4 706
"36888" 3065062 13272.7 435 3065061 13272.7 434
"36875" 75348 13272.7 436 75347 13272.7 435
"4124" 903905 212232.8 3475 903904 212232.8 3474
"22672" 2002377 14396.1 344 2002376 14396.1 343
"22672" 2002392 14578.4 359 2002391 14578.4 358
"22674" 2085534 16490.1 440 2085533 16490.1 439
"22674" 2085549 16672.4 455 2085548 16672.4 454
"22675" 2086716 19188.3 597 2086715 19188.3 596
"22675" 2086731 19354.6 612 2086730 19354.6 611
"4127" 479593 212633.5 3491 479592 212633.5 3490
"36842" 1994367 154877.4 3880 1994366 154877.4 3879
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.
200 "1256"
1327 "860"
392 "2137"
1324 "678"
208 "9240"
1164 "48594"
1333 "1383"
758 "973"
590 "48492"
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.
2457 "2699" "7597169"
2703 "2699" "7597147"
2739 "2699" "7597125"
2742 "2699" "7597126"
2743 "2699" "7597127"
2835 "2699" "7597148"
2836 "2699" "7597149"
2841 "2699" "7597150"
2842 "2699" "7597151"
2843 "2699" "7597152"
2844 "2699" "7597153"
2845 "2699" "7597154"
2852 "2699" "7597155"
2853 "2699" "7597156"
2854 "2699" "7597157"
2855 "2699" "7597158"
2856 "2699" "7597159"
2857 "2699" "7597160"
2858 "2699" "7597161"
2871 "2699" "7597162"
2872 "2699" "7597163"
2882 "2699" "7597164"
2883 "2699" "7597165"
2884 "2699" "7597166"
2885 "2699" "7597167"
12197 "2699" "7597174"
12198 "2699" "7597180"
12199 "2699" "7597181"
12200 "2699" "7597175"
12201 "2699" "7597176"
12202 "2699" "7597177"
12203 "2699" "7597178"
12206 "2699" "7597179"
12282 "2699" "7597128"
12283 "2699" "7597129"
12284 "2699" "7597130"
12285 "2699" "7597131"
12286 "2699" "7597132"
12296 "2699" "7597182"
12297 "2699" "7597183"
12299 "2699" "7597184"
12300 "2699" "7597185"
12371 "2699" "7597133"
12372 "2699" "7597134"
12373 "2699" "7597135"
12374 "2699" "7597136"
12375 "2699" "7597137"
12376 "2699" "7597138"
12377 "2699" "7597139"
12428 "2699" "7597186"
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 177

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 177 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" 17
"routes.txt" "route_long_name" "JONAVA-ŠĖTA" 63
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS, KANDRĖNUS, LAIČIUS" 150
"routes.txt" "route_long_name" "ŠVENČIONYS-PABRADĖ-VILNIUS-PABRADĖ-ŠVENČIONYS" 153
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 191
"routes.txt" "route_long_name" "JONAVA-RUKLA" 193
"routes.txt" "route_long_name" "RIMKAI-MAXIMA-ŠVEICARIJA" 194
"routes.txt" "route_long_name" "JONAVA-PREIŠIOGALĖLĖ-ŽINĖNAI-JONAVA" 269
"routes.txt" "route_long_name" "JONAVA-BUKONYS" 281
"routes.txt" "route_long_name" "JONAVA-UPININKAI" 332
"routes.txt" "route_long_name" "JONAVA-ŽINĖNAI-PREIŠIOGALĖLĖ-JONAVA" 387
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER KANDRĖNUS, LAIČIUS" 444
"routes.txt" "route_long_name" "JONAVA-KAUNAS" 452
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 458
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI" 486
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 568
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 593
"routes.txt" "route_long_name" "JONAVA-ŽEIMIAI" 594
"routes.txt" "route_long_name" "JONAVA-JUŠKONYS" 595
"routes.txt" "route_long_name" "JONAVA-KĖDAINIAI" 597
"routes.txt" "route_long_name" "KUPIŠKIS - ANTAŠAVA" 699
"routes.txt" "route_long_name" "JONAVA - PAGELEŽIAI" 729
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-JUODMENA-RIMKAI" 731
"routes.txt" "route_long_name" "ŠVENČIONYS-ADUTIŠKIS-JAKELIAI-ADUTIŠKIS-ŠVENČIONYS" 798
"routes.txt" "route_long_name" "KUPIŠKIS – ŠIMONYS PER MIGONIS" 810
"routes.txt" "route_long_name" "JONAVA-GAIŽIŪNŲ STOTIS" 854
"routes.txt" "route_long_name" "JONAVA-KULVA" 855
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS" 862
"routes.txt" "route_long_name" "II miesto" 882
"routes.txt" "route_long_name" "PASVALYS-ŽILPAMŪŠIS PER TETIRVINUS" 889
"routes.txt" "route_long_name" "KUPIŠKIS – PANEVĖŽYS" 921
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI-BUKONYS-ŠILAI-JONAVA" 925
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-GLOBOS NAMAI-RIMKAI" 933
"routes.txt" "route_long_name" "KUPIŠKIS – VAINIŪNIŠKIS (PER PALĖVENĖLĘ) – KUPIŠKIS" 951
"routes.txt" "route_long_name" "KUPIŠKIS – LAIČIAI PER KANDRĖNUS, SKAPIŠKIO MSTL." 969
"routes.txt" "route_long_name" "JONAVA-KULVA PER JUODMENĄ" 1000
"routes.txt" "route_long_name" "JONAVA-KUIGALIAI PER NAUJASODĮ" 1003
"routes.txt" "route_long_name" "PASVALYS-GULBINĖNAI PER KRINČINĄ" 1014
"routes.txt" "route_long_name" "KUPIŠKIS – SUBAČIAUS MST. PER LUKONIS" 1037
"routes.txt" "route_long_name" "KUPIŠKIS – ALIZAVA PER PALĖVENĖLĘ – KUPIŠKIS" 1065
"stops.txt" "stop_name" "IKI parduotuvė" 261
"stops.txt" "stop_name" "III km." 318
"stops.txt" "stop_name" "25 -as km" 512
"stops.txt" "stop_name" "7-asis kilometras" 527
"stops.txt" "stop_name" "KTU inžinerijos licėjus" 605
"stops.txt" "stop_name" "1-ojo forto g." 628
"stops.txt" "stop_name" "9-asis fortas" 652
"stops.txt" "stop_name" "IKI prekybos centras" 781
"stops.txt" "stop_name" "11-as kilometras" 812
stop_too_far_from_shape WARNING 56

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 56 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.
9886 "3636" "45756" 4315 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
9887 "3651" "45771" 4344 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
10142 "29276" "7418187" 47718 "11298" "Dūkštas" [55.522186,26.326283] 128.73024628759987
9252 "29275" "7418189" 47751 "11298" "Dūkštas" [55.522186,26.326283] 128.73024628759987
9510 "3653" "45773" 4345 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
9866 "4529" "46899" 5567 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
9880 "4527" "47691" 6691 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
9624 "4528" "47692" 6692 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
1570 "14622" "7150732" 38917 "14754" "Naiviai" [55.84397975379556,25.145549112350125] 765.6219655883444
940 "18184" "2933102" 26510 "24190" "Maldeniai" [56.08905,23.080025999999993] 114.55535215311666
7916 "18185" "2933105" 26524 "24190" "Maldeniai" [56.08905,23.080025999999993] 114.55535215311666
11039 "26974" "7317012" 40941 "14216" "Glaudžiai" [55.90637400000001,21.877556999999996] 1731.1842381583824
11039 "26974" "7317012" 40942 "10163" "Glaudžiai I" [55.90637400000001,21.877556999999996] 935.5388323636666
11039 "26974" "7317012" 40957 "19491" "Plungės autobusų stotis" [55.918779,21.851513000000004] 152.03315218543798
9850 "2821" "45017" 3987 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
1337 "29615" "7432118" 49962 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
4938 "29616" "7432119" 50010 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
6999 "10745" "432217" 15721 "8484" "Mokykla" [55.513561,26.317414] 128.25393944619788
6615 "29329" "7418310" 48619 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
5855 "29328" "7418309" 48596 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
10184 "3339" "46943" 5568 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
10252 "35655" "7651142" 92845 "71124" "Meškoniai" [55.06272185256335,24.279957733564615] 1013.4565627966662
10250 "35654" "7651140" 92821 "71124" "Meškoniai" [55.06272185256335,24.279957733564615] 1013.4565627966662
4304 "9923" "432216" 15720 "9340" "Mokykla" [55.512857000000004,26.315831] 134.01174852768767
9290 "2906" "43487" 2773 "8484" "Mokykla" [55.513561,26.317414] 128.25393944619788
1922 "18654" "3218451" 27141 "67434" "Geluva" [55.249732,23.511073] 140.46827403515317
3744 "32206" "7476583" 55080 "48065" "Troškūnų g." [55.521214350005486,25.097709664383384] 523.8519190658676
3744 "32206" "7476583" 55081 "48066" "Geležinkelio stotis" [55.526276,25.103853] 785.72734673045
3744 "32206" "7476583" 55082 "48068" "Kalno parduotuvė" [55.526598,25.099623999999995] 574.8082135251354
3744 "32206" "7476583" 55085 "48071" "Pušyno mikrorajonas" [55.521132,25.115296] 658.3695095777266
3744 "32206" "7476583" 55090 "48070" "Žiburio g." [55.525912999999996,25.113931000000004] 146.43308427108235
9555 "3899" "46086" 4683 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
6909 "11705" "747606" 15879 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
11775 "6511" "54507" 10022 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
11462 "6509" "54501" 9968 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
9272 "3013" "43693" 3082 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
11777 "6513" "54509" 10046 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
9298 "3014" "43692" 3067 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
9559 "3028" "45483" 4050 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
1727 "29093" "7413976" 45993 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
1726 "29092" "7413975" 45963 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
7519 "5232" "56646" 10148 "14684" "Lieplaukalė" [55.9354974471734,21.831098374058865] 152.04079667279404
6795 "29420" "7429613" 49342 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
9853 "3514" "45563" 4145 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
9507 "3537" "45591" 4218 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
10890 "17131" "2515700" 24426 "16347" "Sudervė" [54.761036,25.063001999999997] 2603.225038082936
9562 "3574" "45644" 4219 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
4359 "33152" "7500274" 56757 "71124" "Meškoniai" [55.06624,24.284739999999996] 1128.212293940835
4359 "33152" "7500274" 56758 "71122" "Dzūkų g." [55.048616298180846,24.256530754732907] 465.14632311917387
4359 "33152" "7500274" 56759 "74267" "Parko g." [55.04752370669709,24.257124615301468] 168.29354785133998
stops_match_shape_out_of_order WARNING 7

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.
7053 "13808" "1228372" 18062 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 18061 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
2592 "35668" "7652364" 93065 "20855" "Kontariškiai" [56.04984708813942,24.383280063416947] 93064 "20829" "Smegduobių parkas" [56.056377166218944,24.39590345350891]
3868 "28435" "7339430" 42605 "64819" "Suostas" [56.32837413018391,24.713657886432735] 42604 "16112" "Svydžiai" [56.352930797976754,24.686322368913352]
3867 "28434" "7339429" 42581 "10057" "Svydžiai" [56.35334128457164,24.685572701413516] 42580 "64820" "Suostas" [56.32837775901334,24.713656830174433]
6841 "17480" "2657524" 24815 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 24814 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
10753 "22910" "4981065" 34775 "44981" "Apušėliai" [56.058900282912056,23.196604001375526] 34774 "23941" "Žiogai" [56.04871914929978,23.214028627477276]
7510 "8015" "59846" 13491 "15835" "Liepų" [56.19577884367617,24.744204200139304] 13490 "5001" "Daukanto" [56.194958397933945,24.752222236859655]
unknown_column INFO 45

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
"fare_attributes.txt" "journey_duration" 8
"routes.txt" "eligibility_restricted" 11
"routes.txt" "route_bikes_allowed" 12
"routes.txt" "bikes_allowed" 13
"routes.txt" "route_branding_url" 15
"routes.txt" "regional_fare_card" 16
"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" "route_short_name" 7
"trips.txt" "drt_max_travel_time" 12
"trips.txt" "drt_avg_travel_time" 13
"trips.txt" "drt_advance_book_min" 14
"trips.txt" "drt_pickup_message" 15
"trips.txt" "drt_drop_off_message" 16
"trips.txt" "continuous_pickup_message" 17
"trips.txt" "continuous_drop_off_message" 18
"trips.txt" "mean_duration_factor" 19
"trips.txt" "mean_duration_offset" 20
"trips.txt" "safe_duration_factor" 21
"trips.txt" "safe_duration_offset" 22
"trips.txt" "trip_bikes_allowed" 23
"trips.txt" "cars_allowed" 25
"trips.txt" "fare_id" 26
"trips.txt" "peak_offpeak" 27
"trips.txt" "mta_trip_id" 28
"trips.txt" "boarding_type" 29