GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2026-04-14T06:07:01+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: 52
  • Blocks: 0
  • Routes: 1552
  • Shapes: 3996
  • Stops: 15091
  • Trips: 28390

Specification Compliance report

119738 notices reported (0 errors, 119705 warnings, 33 infos)

Notice Code Severity Total
duplicate_route_name WARNING 2

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`.
204 "18329" 361 "6209" "M1" "Alytus - Geniai" 3 "48"
785 "16052" 1088 "6212" "M23" "Alytus - Punia - Butrimonys - Eigirdonys" 3 "48"
equal_shape_distance_diff_coordinates_distance_below_threshold WARNING 4156

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 4156 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.
"3647" 482151 29882.7 878 482150 29882.7 877 0.12791084993239907
"2328" 392387 35929.8 642 392386 35929.8 641 0.11119510090982554
"3659" 477201 49657.5 1177 477200 49657.5 1176 0.12791084993239907
"42205" 3438044 57850.1 335 3438043 57850.1 334 0.06178544815632574
"2369" 381191 63265.5 1261 381190 63265.5 1260 0.11119510090982554
"2385" 588115 69168.3 1771 588114 69168.3 1770 0.06441976500794575
"28733" 2302264 71509.2 1569 2302263 71509.2 1568 0.06441976500794575
"1919" 748505 136875.8 2842 748504 136875.8 2841 0.12752942403551987
"1919" 748508 136876.0 2845 748507 136876.0 2844 0.11119510090982554
"1919" 748515 136876.5 2852 748514 136876.5 2851 0.11119510232447394
"1919" 748518 136876.7 2855 748517 136876.7 2854 0.11119510161714974
"1919" 748521 136876.9 2858 748520 136876.9 2857 0.12752941555597483
"1919" 748530 136877.5 2867 748529 136877.5 2866 0.11119510090982554
"1919" 748533 136877.7 2870 748532 136877.7 2869 0.11119510161714974
"1919" 748536 136877.9 2873 748535 136877.9 2872 0.11119510090982554
"1919" 748543 136878.4 2880 748542 136878.4 2879 0.11119510090982554
"1919" 748546 136878.6 2883 748545 136878.6 2882 0.11119510161714974
"1919" 748555 136879.2 2892 748554 136879.2 2891 0.11119510090982554
"1919" 748558 136879.4 2895 748557 136879.4 2894 0.12752939825777979
"1919" 748561 136879.6 2898 748560 136879.6 2897 0.11119510161714974
"1919" 748570 136880.2 2907 748569 136880.2 2906 0.11119510161714974
"1919" 748574 136880.5 2911 748573 136880.5 2910 0.06244513630731429
"1919" 748580 136880.9 2917 748579 136880.9 2916 0.11119510161714974
"1919" 748583 136881.1 2920 748582 136881.1 2919 0.11119510090982554
"1919" 748586 136881.3 2923 748585 136881.3 2922 0.11119510090982554
"1919" 748595 136881.9 2932 748594 136881.9 2931 0.12752938095958766
"1919" 748598 136882.1 2935 748597 136882.1 2934 0.11119510161714974
"1919" 748609 136882.8 2946 748608 136882.8 2945 0.11119510161714974
"1919" 748614 136883.1 2951 748613 136883.1 2950 0.11119510161714974
"1919" 748622 136883.6 2959 748621 136883.6 2958 0.11119510090982554
"1919" 748627 136883.9 2964 748626 136883.9 2963 0.11119510090982554
"1919" 748640 136884.7 2977 748639 136884.7 2976 0.11119510161714974
"1919" 748642 136884.8 2979 748641 136884.8 2978 0.11119510090982554
"1919" 748645 136885.0 2982 748644 136885.0 2981 0.11119510161714974
"1919" 748653 136885.5 2990 748652 136885.5 2989 0.1275293557985862
"1919" 748655 136885.6 2992 748654 136885.6 2991 0.11119510161714974
"1919" 748658 136885.8 2995 748657 136885.8 2994 0.11119510090982554
"1919" 748660 136885.9 2997 748659 136885.9 2996 0.11119510232447394
"1919" 748666 136886.3 3003 748665 136886.3 3002 0.06244505260741443
"1919" 748671 136886.6 3008 748670 136886.6 3007 0.11119510161714974
"1919" 748673 136886.7 3010 748672 136886.7 3009 0.11119510090982554
"1919" 748676 136886.9 3013 748675 136886.9 3012 0.11119510090982554
"1919" 748678 136887.0 3015 748677 136887.0 3014 0.11119510090982554
"1919" 748684 136887.4 3021 748683 136887.4 3020 0.11119510090982554
"1919" 748686 136887.5 3023 748685 136887.5 3022 0.11119510161714974
"1919" 748689 136887.7 3026 748688 136887.7 3025 0.11119510090982554
"1919" 748691 136887.8 3028 748690 136887.8 3027 0.11119510161714974
"1919" 748702 136888.5 3039 748701 136888.5 3038 0.11119510161714974
"1919" 748704 136888.6 3041 748703 136888.6 3040 0.11119510090982554
"1919" 748707 136888.8 3044 748706 136888.8 3043 0.11119510090982554
equal_shape_distance_same_coordinates WARNING 14892

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 14892 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`.
"54233" 3364122 568.4 11 3364121 568.4 10
"54233" 3364139 1332.9 28 3364138 1332.9 27
"54233" 3364154 2632.1 43 3364153 2632.1 42
"54233" 3364184 4344.1 73 3364183 4344.1 72
"54233" 3364194 4911.0 83 3364193 4911.0 82
"54233" 3364224 6436.5 113 3364223 6436.5 112
"54233" 3364233 7866.2 122 3364232 7866.2 121
"54233" 3364271 14319.8 160 3364270 14319.8 159
"54233" 3364281 14744.6 170 3364280 14744.6 169
"54233" 3364303 15719.1 192 3364302 15719.1 191
"54233" 3364314 15951.6 203 3364313 15951.6 202
"54233" 3364321 16300.0 210 3364320 16300.0 209
"54233" 3364328 16654.4 217 3364327 16654.4 216
"54233" 3364342 16900.6 231 3364341 16900.6 230
"54233" 3364373 17882.6 262 3364372 17882.6 261
"54233" 3364385 18307.8 274 3364384 18307.8 273
"54233" 3364426 22494.3 315 3364425 22494.3 314
"54233" 3364462 25025.7 351 3364461 25025.7 350
"54233" 3364472 26609.0 361 3364471 26609.0 360
"54233" 3364519 27761.7 408 3364518 27761.7 407
"54233" 3364691 38641.3 580 3364690 38641.3 579
"54233" 3364709 44076.7 598 3364708 44076.7 597
"54233" 3364717 45164.8 606 3364716 45164.8 605
"54233" 3364725 45314.5 614 3364724 45314.5 613
"54233" 3364729 45372.3 618 3364728 45372.3 617
"54233" 3364734 45737.6 623 3364733 45737.6 622
"54233" 3364744 46538.2 633 3364743 46538.2 632
"54232" 3363440 568.4 11 3363439 568.4 10
"54232" 3363457 1332.9 28 3363456 1332.9 27
"54232" 3363472 2632.1 43 3363471 2632.1 42
"54232" 3363502 4344.1 73 3363501 4344.1 72
"54232" 3363533 5622.4 104 3363532 5622.4 103
"54232" 3363539 5926.7 110 3363538 5926.7 109
"54232" 3363541 5940.2 112 3363540 5940.2 111
"54232" 3363543 6016.1 114 3363542 6016.1 113
"54232" 3363548 6393.3 119 3363547 6393.3 118
"54232" 3363555 6754.4 126 3363554 6754.4 125
"54232" 3363557 6803.6 128 3363556 6803.6 127
"54232" 3363560 7277.4 131 3363559 7277.4 130
"54232" 3363564 7324.7 135 3363563 7324.7 134
"54232" 3363567 7419.7 138 3363566 7419.7 137
"54232" 3363576 7725.2 147 3363575 7725.2 146
"54232" 3363584 8161.5 155 3363583 8161.5 154
"54232" 3363591 8575.2 162 3363590 8575.2 161
"54232" 3363600 8804.7 171 3363599 8804.7 170
"54232" 3363603 8980.8 174 3363602 8980.8 173
"54232" 3363608 9110.1 179 3363607 9110.1 178
"54232" 3363668 11189.6 239 3363667 11189.6 238
"54232" 3363700 12505.1 271 3363699 12505.1 270
"54232" 3363725 12791.9 296 3363724 12791.9 295
expired_calendar WARNING 181

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.

Only the first 50 of 181 affected records are displayed below.

csvRowNumber (?) The row of the faulty record. serviceId (?) The service id of the faulty record.
6 "1076"
12647 "87941"
3306 "73341"
2649 "87938"
3250 "1256"
3246 "1271"
13277 "1294"
23023 "24601"
2 "1339"
23015 "12709"
9937 "1379"
9 "1461"
20771 "71609"
1025 "71604"
4257 "71605"
23009 "1954"
17608 "71589"
20751 "71586"
22195 "83728"
25426 "83731"
15740 "83669"
15734 "83664"
12422 "83665"
19769 "20239"
23018 "20237"
23017 "17222"
16591 "17343"
25124 "78853"
2126 "78854"
12134 "78858"
5416 "78961"
48 "76307"
19807 "76308"
49 "76309"
15526 "78958"
4079 "76497"
14119 "76430"
23797 "76431"
17415 "76435"
828 "76500"
5380 "76689"
6109 "88660"
22601 "88657"
8785 "76690"
5381 "76694"
25835 "88616"
22594 "88612"
6106 "88611"
23019 "13033"
3259 "13105"
fast_travel_between_consecutive_stops WARNING 1

fast_travel_between_consecutive_stops

A transit vehicle moves too fast between two consecutive stops.

The speed threshold depends on route type:

Route type Description Threshold, km/h
0 Light rail 100
1 Subway 150
2 Rail 500
3 Bus 150
4 Ferry 80
5 Cable tram 30
6 Aerial lift 50
7 Funicular 50
11 Trolleybus 150
12 Monorail 150
- Unknown 200

You can see more about this notice here.

tripCsvRowNumber (?) The row number of the problematic trip. tripId (?) `trip_id` of the problematic trip. routeId (?) `route_id` of the problematic trip. speedKph (?) Travel speed (km/h). distanceKm (?) Distance between stops (km). csvRowNumber1 (?) The row number of the first stop time. stopSequence1 (?) `stop_sequence` of the first stop. stopId1 (?) `stop_id` of the first stop. stopName1 (?) `stop_name` of the first stop. departureTime1 (?) `departure_time` of the first stop. csvRowNumber2 (?) The row number of the second stop time. stopSequence2 (?) `stop_sequence` of the second stop. stopId2 (?) `stop_id` of the second stop. stopName2 (?) `stop_name` of the second stop. arrivalTime2 (?) `arrival_time` of the second stop.
22348 "21_APNV_416-45-3-250526-ab-1310" "17272" 196.9887428340989 3.283145713901648 174790 17 "99227" "Krekenava" "14:03:00" 174791 18 "99243" "Rabikiai" "14:03:00"
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.
10567 "2699" "7597128"
10590 "2699" "7597186"
23027 "2699" "7597156"
23050 "2699" "7597209"
23083 "2699" "7597189"
23102 "2699" "7597164"
23109 "2699" "7597176"
23123 "2699" "7597137"
23294 "2699" "7597141"
23324 "2699" "7597182"
23352 "2699" "7597195"
23374 "2699" "7597171"
23430 "2699" "7597170"
23465 "2699" "7597140"
23589 "2699" "7597185"
23672 "2699" "7597126"
23689 "2699" "7597132"
23785 "2699" "7597191"
23790 "2699" "7597133"
23864 "2699" "7597205"
23875 "2699" "7597145"
23974 "2699" "7597138"
24066 "2699" "7597196"
24088 "2699" "7597144"
24129 "2699" "7597147"
24207 "2699" "7597130"
24482 "2699" "7597181"
24513 "2699" "7597150"
24565 "2699" "7597161"
24583 "2699" "7597151"
24593 "2699" "7597197"
24823 "2699" "7597199"
24857 "2699" "7597200"
25009 "2699" "7597155"
25050 "2699" "7597146"
25083 "2699" "7597159"
25158 "2699" "7597135"
25163 "2699" "7597165"
25286 "2699" "7597174"
25296 "2699" "7597139"
25398 "2699" "7597158"
25450 "2699" "7597162"
25486 "2699" "7597160"
25633 "2699" "7597169"
25816 "2699" "7597154"
25884 "2699" "7597180"
25958 "2699" "7597183"
26234 "2699" "7597192"
26264 "2699" "7597148"
26304 "2699" "7597194"
missing_recommended_file WARNING 1

missing_recommended_file

A recommended file is missing.

You can see more about this notice here.

filename (?) The name of the faulty file.
"feed_info.txt"
missing_timepoint_value WARNING 100000

missing_timepoint_value

stop_times.timepoint value is missing for a record.

Even though the column timepoint is optional in stop_times.txt according to the specification, stop_times.timepoint should not be empty when provided.

You can see more about this notice here.

Only the first 50 of 100000 affected records are displayed below.

csvRowNumber (?) The row number of the faulty record. tripId (?) The faulty record's `stop_times.trip_id`. stopSequence (?) The faulty record's `stop_times.stop_sequence`.
2 "41891" 1
3 "41891" 2
4 "41891" 3
5 "41891" 4
6 "41891" 5
7 "41891" 6
8 "41891" 7
9 "41891" 8
10 "41891" 9
11 "41979" 1
12 "41979" 2
13 "41979" 3
14 "41979" 4
15 "41980" 1
16 "41980" 2
17 "41980" 3
18 "41980" 4
19 "41981" 1
20 "41981" 2
21 "41981" 3
22 "41981" 4
23 "41982" 1
24 "41982" 2
25 "41982" 3
26 "41982" 4
27 "42101" 1
28 "42101" 2
29 "42101" 4
30 "42101" 5
31 "42101" 6
32 "42103" 1
33 "42103" 2
34 "42103" 4
35 "42103" 5
36 "42103" 6
37 "42105" 1
38 "42105" 2
39 "42105" 4
40 "42105" 5
41 "42203" 1
42 "42203" 2
43 "42203" 3
44 "42203" 4
45 "42203" 5
46 "42203" 6
47 "42203" 7
48 "42203" 8
49 "42203" 9
50 "42203" 10
51 "42203" 11
mixed_case_recommended_field WARNING 290

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 290 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\"" 52
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-GLOBOS NAMAI-RIMKAI" 33
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 34
"routes.txt" "route_short_name" "3_VLP" 42
"routes.txt" "route_long_name" "ŠVENČIONYS-ŠUTONYS-ŠVENČIONYS" 83
"routes.txt" "route_long_name" "JONAVA-ŽEIMIAI" 228
"routes.txt" "route_short_name" "5_VLP" 234
"routes.txt" "route_long_name" "ŠVENČIONYS-PABRADĖ-VILNIUS-PABRADĖ-ŠVENČIONYS" 249
"routes.txt" "route_short_name" "40-DT" 293
"routes.txt" "route_long_name" "ŽELVA - PUSNĖ" 351
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS, KANDRĖNUS, LAIČIUS" 359
"routes.txt" "route_long_name" "JONAVA - PAGELEŽIAI" 423
"routes.txt" "route_short_name" "2_VLP" 426
"routes.txt" "route_long_name" "JONAVA-PREIŠIOGALĖLĖ-ŽINĖNAI-JONAVA" 442
"routes.txt" "route_short_name" "94AT" 575
"routes.txt" "route_long_name" "JONAVA-KULVA PER JUODMENĄ" 622
"routes.txt" "route_long_name" "RIMKAI-MAXIMA-ŠVEICARIJA" 623
"routes.txt" "route_long_name" "JONAVA-JUŠKONYS" 625
"routes.txt" "route_long_name" "JONAVA-GAIŽIŪNŲ STOTIS" 626
"routes.txt" "route_long_name" "JONAVA-KUIGALIAI PER NAUJASODĮ" 643
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 650
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER KANDRĖNUS, LAIČIUS" 654
"routes.txt" "route_short_name" "94-DC" 734
"routes.txt" "route_long_name" "JONAVA-KAUNAS" 814
"routes.txt" "route_long_name" "JONAVA-KĖDAINIAI" 816
"routes.txt" "route_long_name" "JONAVA-KULVA" 817
"routes.txt" "route_short_name" "4_VLP" 821
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 881
"routes.txt" "route_short_name" "70AC" 917
"routes.txt" "route_long_name" "JONAVA-RUKLA" 999
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI" 1000
"routes.txt" "route_short_name" "1A_VLP" 1004
"routes.txt" "route_long_name" "KUPIŠKIS - ANTAŠAVA" 1049
"routes.txt" "route_long_name" "ŠIRVINTOS - UKMERGĖ - ŠIRVINTOS" 1112
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-JUODMENA-RIMKAI" 1197
"routes.txt" "route_long_name" "JONAVA-BUKONYS" 1199
"routes.txt" "route_short_name" "2A_VLP" 1204
"routes.txt" "route_long_name" "PASVALYS-ŽILPAMŪŠIS PER TETIRVINUS" 1212
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI-BUKONYS-ŠILAI-JONAVA" 1213
"routes.txt" "route_long_name" "ŠVENČIONYS-ADUTIŠKIS-JAKELIAI-ADUTIŠKIS-ŠVENČIONYS" 1224
"routes.txt" "route_long_name" "KUPIŠKIS – ŠIMONYS PER MIGONIS" 1239
"routes.txt" "route_long_name" "KUPIŠKIS – PANEVĖŽYS" 1302
"routes.txt" "route_long_name" "ŽELVA - KIAUKLIAI" 1305
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS" 1329
"routes.txt" "route_short_name" "50AB" 1337
"routes.txt" "route_long_name" "JONAVA-ŠĖTA" 1392
"routes.txt" "route_long_name" "JONAVA-UPININKAI" 1393
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 1394
"routes.txt" "route_short_name" "1_VLP" 1399
"routes.txt" "route_long_name" "JONAVA-ŽINĖNAI-PREIŠIOGALĖLĖ-JONAVA" 1411
stop_too_far_from_shape WARNING 50

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.

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.
28351 "3636" "45756" 2726 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
27312 "3651" "45771" 2755 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
25778 "3653" "45773" 2756 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
27297 "43544" "8124133" 252644 "9340" "Mokykla" [55.512857000000004,26.315831] 134.01174852768767
23367 "43548" "8124139" 252682 "8484" "Mokykla" [55.513561,26.317414] 128.25393944619788
23219 "26974" "7317015" 34580 "14216" "Glaudžiai" [55.90637400000001,21.877556999999996] 1731.1842381583824
23219 "26974" "7317015" 34581 "10163" "Glaudžiai I" [55.90637400000001,21.877556999999996] 935.5388323636666
23219 "26974" "7317015" 34596 "19491" "Plungės autobusų stotis" [55.918779,21.851513000000004] 152.03315218543798
25167 "16822" "2392140" 21177 "8988" "Miškų urėdija" [56.223549,23.648672] 192.32046673726916
23016 "16821" "2392134" 21101 "8988" "Miškų urėdija" [56.223549,23.648672] 192.32046673726916
25456 "16823" "2392141" 21196 "15916" "Miškų urėdija" [56.223436,23.64902] 114.43864929834778
23035 "18654" "3218451" 24219 "67434" "Geluva" [55.249732,23.511073] 140.46827403515317
24811 "32206" "7476585" 44163 "48065" "Troškūnų g." [55.521214350005486,25.097709664383384] 523.8519190658676
24811 "32206" "7476585" 44164 "48066" "Geležinkelio stotis" [55.526276,25.103853] 785.72734673045
24811 "32206" "7476585" 44165 "48068" "Kalno parduotuvė" [55.526598,25.099623999999995] 574.8082135251354
24811 "32206" "7476585" 44168 "48071" "Pušyno mikrorajonas" [55.521132,25.115296] 658.3695095777266
24811 "32206" "7476585" 44173 "48070" "Žiburio g." [55.525912999999996,25.113931000000004] 146.43308427108235
28216 "3899" "46086" 2864 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
27840 "3014" "43694" 1889 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
23404 "29420" "7429613" 40063 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
26869 "4529" "46899" 3800 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
24404 "4527" "47691" 5314 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
24929 "4528" "47692" 5315 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
23057 "14622" "7150733" 33821 "14754" "Naiviai" [55.84397975379556,25.145549112350125] 765.6219655883444
27286 "2821" "45017" 2650 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
23914 "29615" "7432118" 40471 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
23810 "29616" "7432119" 40519 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
137 "21886" "60_A2-02-1-241209-ba-2100" 66161 "5846" "Grūtas" [54.032271447911626,24.074587772943918] 103.01117636409927
1099 "21885" "60_A30-01-7-241028-ab-1650" 506055 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
1149 "21887" "60_A2-01-7-060404-ab3-1430" 506545 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
903 "21891" "60_A2-02-1-241209-ab2-2020" 64867 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
1508 "21865" "60_A2-01-7-060404-b3a-1150" 504959 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
920 "21872" "60_A2-02-1-241209-b2a-1940" 63737 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
26297 "3339" "46943" 3801 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
25661 "4710" "47249" 4532 "4945" "Onuškis" [54.48374200000001,24.591959000000003] 103.16686496628398
23096 "4711" "47251" 4545 "4945" "Onuškis" [54.48374200000001,24.591959000000003] 103.16686496628398
23645 "11705" "747606" 16090 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
26438 "6511" "54508" 10524 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
23407 "6509" "54502" 10473 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
23533 "6513" "54509" 10536 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
26630 "29093" "7413977" 37674 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
24667 "29092" "7413975" 37630 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
24160 "5232" "48165" 5717 "14684" "Lieplaukalė" [55.9354974471734,21.831098374058865] 152.04079667279404
23636 "44681" "8136901" 264536 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
26235 "3514" "45563" 2673 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
25524 "3537" "45591" 2698 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
27495 "3574" "45644" 2699 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
26105 "3617" "45754" 2725 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
23014 "15331" "2211799" 19630 "6964" "Mikieriai" [55.66300100000001,25.169295] 153.6142678364674
23603 "15330" "2211797" 19617 "6964" "Mikieriai" [55.66300100000001,25.169295] 153.6142678364674
stops_match_shape_out_of_order WARNING 14

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.
25582 "3645" "57657" 13843 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 13842 "12152" "Jonaičiai" [55.34641499999999,21.570023]
25168 "3667" "57730" 13960 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 13959 "13926" "Jonaičiai" [55.346103,21.568929]
24768 "3714" "57736" 14034 "13926" "Jonaičiai" [55.346103,21.568929] 14033 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
25134 "13808" "1228372" 18286 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 18285 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
24744 "26489" "7231018" 34057 "10486" "Kuršų m-la" [55.853816990580704,22.40675061105697] 34056 "7720" "Baltininkai" [55.85382305337965,22.406770171019815]
25001 "35668" "7652364" 54919 "20855" "Kontariškiai" [56.04984708813942,24.383280063416947] 54918 "20829" "Smegduobių parkas" [56.056377166218944,24.39590345350891]
25848 "28435" "7339430" 35956 "64819" "Suostas" [56.32837413018391,24.713657886432735] 35955 "16112" "Svydžiai" [56.352930797976754,24.686322368913352]
27714 "28434" "7339429" 35932 "10057" "Svydžiai" [56.35334128457164,24.685572701413516] 35931 "64820" "Suostas" [56.32837775901334,24.713656830174433]
24761 "6591" "57636" 13519 "13926" "Jonaičiai" [55.346103,21.568929] 13518 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
23994 "3554" "57639" 13559 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 13558 "12152" "Jonaičiai" [55.34641499999999,21.570023]
23913 "29102" "7413991" 37754 "71231" "Žuvintai" [54.448579423202126,23.62330650767253] 37753 "71255" "Litvanciškai" [54.41436513808293,23.67340583550103]
28087 "40377" "8016002" 95205 "72301" "Kirlikai" [55.32834500402225,21.565359093761266] 95204 "97223" "Tarvydai I" [55.328604,21.56423]
28219 "40378" "8016003" 95214 "71683" "Tarvydai II" [55.31814711876975,21.598011981975805] 95213 "97223" "Tarvydai I" [55.328604,21.56423]
23364 "5353" "57622" 13348 "13926" "Jonaičiai" [55.346103,21.568929] 13347 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
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