GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2026-04-11T06:07:15+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: 53
  • Blocks: 0
  • Routes: 1617
  • Shapes: 4132
  • Stops: 15722
  • Trips: 29069

Specification Compliance report

119753 notices reported (0 errors, 119720 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`.
472 "3645" 1541 "8681" "144" "Vilnius (Žalgirio stotelė) – Nemenčinė per Pikeliškes" 3 "53"
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" 518959 29882.7 878 518958 29882.7 877 0.12791084993239907
"2328" 426662 35929.8 642 426661 35929.8 641 0.11119510090982554
"3659" 514009 49657.5 1177 514008 49657.5 1176 0.12791084993239907
"42205" 3579551 57850.1 335 3579550 57850.1 334 0.06178544815632574
"2369" 415466 63265.5 1261 415465 63265.5 1260 0.11119510090982554
"2385" 624923 69168.3 1771 624922 69168.3 1770 0.06441976500794575
"28733" 2433803 71509.2 1569 2433802 71509.2 1568 0.06441976500794575
"1919" 788691 136875.8 2842 788690 136875.8 2841 0.12752942403551987
"1919" 788694 136876.0 2845 788693 136876.0 2844 0.11119510090982554
"1919" 788701 136876.5 2852 788700 136876.5 2851 0.11119510232447394
"1919" 788704 136876.7 2855 788703 136876.7 2854 0.11119510161714974
"1919" 788707 136876.9 2858 788706 136876.9 2857 0.12752941555597483
"1919" 788716 136877.5 2867 788715 136877.5 2866 0.11119510090982554
"1919" 788719 136877.7 2870 788718 136877.7 2869 0.11119510161714974
"1919" 788722 136877.9 2873 788721 136877.9 2872 0.11119510090982554
"1919" 788729 136878.4 2880 788728 136878.4 2879 0.11119510090982554
"1919" 788732 136878.6 2883 788731 136878.6 2882 0.11119510161714974
"1919" 788741 136879.2 2892 788740 136879.2 2891 0.11119510090982554
"1919" 788744 136879.4 2895 788743 136879.4 2894 0.12752939825777979
"1919" 788747 136879.6 2898 788746 136879.6 2897 0.11119510161714974
"1919" 788756 136880.2 2907 788755 136880.2 2906 0.11119510161714974
"1919" 788760 136880.5 2911 788759 136880.5 2910 0.06244513630731429
"1919" 788766 136880.9 2917 788765 136880.9 2916 0.11119510161714974
"1919" 788769 136881.1 2920 788768 136881.1 2919 0.11119510090982554
"1919" 788772 136881.3 2923 788771 136881.3 2922 0.11119510090982554
"1919" 788781 136881.9 2932 788780 136881.9 2931 0.12752938095958766
"1919" 788784 136882.1 2935 788783 136882.1 2934 0.11119510161714974
"1919" 788795 136882.8 2946 788794 136882.8 2945 0.11119510161714974
"1919" 788800 136883.1 2951 788799 136883.1 2950 0.11119510161714974
"1919" 788808 136883.6 2959 788807 136883.6 2958 0.11119510090982554
"1919" 788813 136883.9 2964 788812 136883.9 2963 0.11119510090982554
"1919" 788826 136884.7 2977 788825 136884.7 2976 0.11119510161714974
"1919" 788828 136884.8 2979 788827 136884.8 2978 0.11119510090982554
"1919" 788831 136885.0 2982 788830 136885.0 2981 0.11119510161714974
"1919" 788839 136885.5 2990 788838 136885.5 2989 0.1275293557985862
"1919" 788841 136885.6 2992 788840 136885.6 2991 0.11119510161714974
"1919" 788844 136885.8 2995 788843 136885.8 2994 0.11119510090982554
"1919" 788846 136885.9 2997 788845 136885.9 2996 0.11119510232447394
"1919" 788852 136886.3 3003 788851 136886.3 3002 0.06244505260741443
"1919" 788857 136886.6 3008 788856 136886.6 3007 0.11119510161714974
"1919" 788859 136886.7 3010 788858 136886.7 3009 0.11119510090982554
"1919" 788862 136886.9 3013 788861 136886.9 3012 0.11119510090982554
"1919" 788864 136887.0 3015 788863 136887.0 3014 0.11119510090982554
"1919" 788870 136887.4 3021 788869 136887.4 3020 0.11119510090982554
"1919" 788872 136887.5 3023 788871 136887.5 3022 0.11119510161714974
"1919" 788875 136887.7 3026 788874 136887.7 3025 0.11119510090982554
"1919" 788877 136887.8 3028 788876 136887.8 3027 0.11119510161714974
"1919" 788888 136888.5 3039 788887 136888.5 3038 0.11119510161714974
"1919" 788890 136888.6 3041 788889 136888.6 3040 0.11119510090982554
"1919" 788893 136888.8 3044 788892 136888.8 3043 0.11119510090982554
equal_shape_distance_same_coordinates WARNING 15001

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 15001 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" 3505629 568.4 11 3505628 568.4 10
"54233" 3505646 1332.9 28 3505645 1332.9 27
"54233" 3505661 2632.1 43 3505660 2632.1 42
"54233" 3505691 4344.1 73 3505690 4344.1 72
"54233" 3505701 4911.0 83 3505700 4911.0 82
"54233" 3505731 6436.5 113 3505730 6436.5 112
"54233" 3505740 7866.2 122 3505739 7866.2 121
"54233" 3505778 14319.8 160 3505777 14319.8 159
"54233" 3505788 14744.6 170 3505787 14744.6 169
"54233" 3505810 15719.1 192 3505809 15719.1 191
"54233" 3505821 15951.6 203 3505820 15951.6 202
"54233" 3505828 16300.0 210 3505827 16300.0 209
"54233" 3505835 16654.4 217 3505834 16654.4 216
"54233" 3505849 16900.6 231 3505848 16900.6 230
"54233" 3505880 17882.6 262 3505879 17882.6 261
"54233" 3505892 18307.8 274 3505891 18307.8 273
"54233" 3505933 22494.3 315 3505932 22494.3 314
"54233" 3505969 25025.7 351 3505968 25025.7 350
"54233" 3505979 26609.0 361 3505978 26609.0 360
"54233" 3506026 27761.7 408 3506025 27761.7 407
"54233" 3506198 38641.3 580 3506197 38641.3 579
"54233" 3506216 44076.7 598 3506215 44076.7 597
"54233" 3506224 45164.8 606 3506223 45164.8 605
"54233" 3506232 45314.5 614 3506231 45314.5 613
"54233" 3506236 45372.3 618 3506235 45372.3 617
"54233" 3506241 45737.6 623 3506240 45737.6 622
"54233" 3506251 46538.2 633 3506250 46538.2 632
"54232" 3504947 568.4 11 3504946 568.4 10
"54232" 3504964 1332.9 28 3504963 1332.9 27
"54232" 3504979 2632.1 43 3504978 2632.1 42
"54232" 3505009 4344.1 73 3505008 4344.1 72
"54232" 3505040 5622.4 104 3505039 5622.4 103
"54232" 3505046 5926.7 110 3505045 5926.7 109
"54232" 3505048 5940.2 112 3505047 5940.2 111
"54232" 3505050 6016.1 114 3505049 6016.1 113
"54232" 3505055 6393.3 119 3505054 6393.3 118
"54232" 3505062 6754.4 126 3505061 6754.4 125
"54232" 3505064 6803.6 128 3505063 6803.6 127
"54232" 3505067 7277.4 131 3505066 7277.4 130
"54232" 3505071 7324.7 135 3505070 7324.7 134
"54232" 3505074 7419.7 138 3505073 7419.7 137
"54232" 3505083 7725.2 147 3505082 7725.2 146
"54232" 3505091 8161.5 155 3505090 8161.5 154
"54232" 3505098 8575.2 162 3505097 8575.2 161
"54232" 3505107 8804.7 171 3505106 8804.7 170
"54232" 3505110 8980.8 174 3505109 8980.8 173
"54232" 3505115 9110.1 179 3505114 9110.1 178
"54232" 3505175 11189.6 239 3505174 11189.6 238
"54232" 3505207 12505.1 271 3505206 12505.1 270
"54232" 3505232 12791.9 296 3505231 12791.9 295
expired_calendar WARNING 70

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 70 affected records are displayed below.

csvRowNumber (?) The row of the faulty record. serviceId (?) The service id of the faulty record.
6 "1076"
3283 "73341"
3225 "1256"
3221 "1271"
13159 "1294"
22850 "24601"
2 "1339"
22842 "12709"
9847 "1379"
9 "1461"
22836 "1954"
19619 "20239"
22845 "20237"
22844 "17222"
16455 "17343"
399 "66538"
3656 "66537"
3657 "66543"
3658 "66544"
48 "76307"
19657 "76308"
49 "76309"
22846 "13033"
3234 "13105"
16493 "76816"
12 "2009"
14 "2022"
13177 "2066"
9860 "2111"
16446 "2123"
13179 "2137"
13219 "62494"
6503 "2158"
6506 "2175"
6508 "2173"
19604 "2206"
6509 "2205"
13181 "2218"
16444 "2217"
19607 "2216"
16440 "2213"
22835 "2224"
9863 "2285"
22976 "13564"
13194 "13743"
6513 "2499"
6510 "2685"
13185 "2737"
16447 "2766"
16460 "47502"
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.
27287 "21_APNV_416-45-3-250526-ab-1310" "17272" 196.9887428340989 3.283145713901648 192581 17 "99227" "Krekenava" "14:03:00" 192582 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.
17380 "2699" "7597198"
17460 "2699" "7597184"
17473 "2699" "7597194"
17485 "2699" "7597131"
17503 "2699" "7597163"
17605 "2699" "7597202"
17686 "2699" "7597173"
17784 "2699" "7597212"
17886 "2699" "7597211"
17926 "2699" "7597208"
17972 "2699" "7597125"
18258 "2699" "7597187"
18303 "2699" "7597156"
18338 "2699" "7597210"
18346 "2699" "7597201"
18348 "2699" "7597172"
18397 "2699" "7597164"
18407 "2699" "7597176"
18618 "2699" "7597209"
18657 "2699" "7597189"
18675 "2699" "7597195"
18701 "2699" "7597171"
18713 "2699" "7597137"
18773 "2699" "7597170"
18834 "2699" "7597185"
18843 "2699" "7597205"
18854 "2699" "7597145"
18989 "2699" "7597136"
19055 "2699" "7597132"
19405 "2699" "7597196"
19464 "2699" "7597161"
19485 "2699" "7597151"
19497 "2699" "7597197"
19609 "2699" "7597141"
19625 "2699" "7597144"
19722 "2699" "7597159"
19788 "2699" "7597199"
19825 "2699" "7597200"
19874 "2699" "7597182"
20074 "2699" "7597158"
20132 "2699" "7597162"
20199 "2699" "7597135"
20204 "2699" "7597165"
20261 "2699" "7597126"
20298 "2699" "7597138"
20396 "2699" "7597155"
20562 "2699" "7597160"
20733 "2699" "7597146"
20836 "2699" "7597154"
21264 "2699" "7597178"
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 307

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 307 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\"" 53
"routes.txt" "route_short_name" "3_VLP" 33
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-GLOBOS NAMAI-RIMKAI" 41
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 42
"routes.txt" "route_long_name" "ŠVENČIONYS-ŠUTONYS-ŠVENČIONYS" 113
"routes.txt" "route_short_name" "5_VLP" 232
"routes.txt" "route_long_name" "JONAVA-ŽEIMIAI" 242
"routes.txt" "route_long_name" "ŠVENČIONYS-PABRADĖ-VILNIUS-PABRADĖ-ŠVENČIONYS" 253
"routes.txt" "route_short_name" "40-DT" 341
"routes.txt" "route_long_name" "ŽELVA - PUSNĖ" 378
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS, KANDRĖNUS, LAIČIUS" 379
"routes.txt" "route_short_name" "2_VLP" 432
"routes.txt" "route_long_name" "JONAVA - PAGELEŽIAI" 442
"routes.txt" "route_long_name" "JONAVA-PREIŠIOGALĖLĖ-ŽINĖNAI-JONAVA" 445
"routes.txt" "route_short_name" "94AT" 600
"routes.txt" "route_long_name" "JONAVA-KULVA PER JUODMENĄ" 646
"routes.txt" "route_long_name" "RIMKAI-MAXIMA-ŠVEICARIJA" 653
"routes.txt" "route_long_name" "JONAVA-JUŠKONYS" 654
"routes.txt" "route_long_name" "JONAVA-GAIŽIŪNŲ STOTIS" 655
"routes.txt" "route_long_name" "JONAVA-KUIGALIAI PER NAUJASODĮ" 657
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 678
"routes.txt" "route_short_name" "94-DC" 684
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER KANDRĖNUS, LAIČIUS" 685
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 705
"routes.txt" "route_short_name" "4_VLP" 835
"routes.txt" "route_long_name" "JONAVA-KAUNAS" 841
"routes.txt" "route_long_name" "JONAVA-KĖDAINIAI" 853
"routes.txt" "route_long_name" "JONAVA-KULVA" 854
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 935
"routes.txt" "route_short_name" "70AC" 965
"routes.txt" "route_short_name" "1A_VLP" 1021
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI" 1029
"routes.txt" "route_long_name" "JONAVA-RUKLA" 1030
"routes.txt" "route_long_name" "KUPIŠKIS - ANTAŠAVA" 1049
"routes.txt" "route_long_name" "ŠIRVINTOS - UKMERGĖ - ŠIRVINTOS" 1165
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 1200
"routes.txt" "route_short_name" "2A_VLP" 1234
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-JUODMENA-RIMKAI" 1240
"routes.txt" "route_long_name" "JONAVA-BUKONYS" 1242
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI-BUKONYS-ŠILAI-JONAVA" 1244
"routes.txt" "route_long_name" "ŽELVA - KIAUKLIAI" 1245
"routes.txt" "route_long_name" "ŠVENČIONYS-ADUTIŠKIS-JAKELIAI-ADUTIŠKIS-ŠVENČIONYS" 1251
"routes.txt" "route_long_name" "KUPIŠKIS – ŠIMONYS PER MIGONIS" 1300
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS" 1309
"routes.txt" "route_long_name" "PASVALYS-ŽILPAMŪŠIS PER TETIRVINUS" 1353
"routes.txt" "route_long_name" "KUPIŠKIS – PANEVĖŽYS" 1377
"routes.txt" "route_short_name" "50AB" 1395
"routes.txt" "route_short_name" "1_VLP" 1444
"routes.txt" "route_long_name" "JONAVA-UPININKAI" 1447
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 1448
stop_too_far_from_shape WARNING 51

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 51 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.
18237 "3636" "45756" 2854 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
18210 "3651" "45771" 2883 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
20503 "3653" "45773" 2884 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
18192 "43544" "8124133" 270435 "9340" "Mokykla" [55.512857000000004,26.315831] 134.01174852768767
18694 "43548" "8124139" 270473 "8484" "Mokykla" [55.513561,26.317414] 128.25393944619788
18426 "26974" "7317015" 42606 "14216" "Glaudžiai" [55.90637400000001,21.877556999999996] 1731.1842381583824
18426 "26974" "7317015" 42607 "10163" "Glaudžiai I" [55.90637400000001,21.877556999999996] 935.5388323636666
18426 "26974" "7317015" 42622 "19491" "Plungės autobusų stotis" [55.918779,21.851513000000004] 152.03315218543798
20208 "16822" "2392140" 25220 "8988" "Miškų urėdija" [56.223549,23.648672] 192.32046673726916
17993 "16821" "2392135" 25154 "8988" "Miškų urėdija" [56.223549,23.648672] 192.32046673726916
17456 "16823" "2392142" 25259 "15916" "Miškų urėdija" [56.223436,23.64902] 114.43864929834778
18311 "18654" "3218451" 28395 "67434" "Geluva" [55.249732,23.511073] 140.46827403515317
17779 "32206" "7476587" 54094 "48065" "Troškūnų g." [55.521214350005486,25.097709664383384] 523.8519190658676
17779 "32206" "7476587" 54095 "48066" "Geležinkelio stotis" [55.526276,25.103853] 785.72734673045
17779 "32206" "7476587" 54096 "48068" "Kalno parduotuvė" [55.526598,25.099623999999995] 574.8082135251354
17779 "32206" "7476587" 54099 "48071" "Pušyno mikrorajonas" [55.521132,25.115296] 658.3695095777266
17779 "32206" "7476587" 54104 "48070" "Žiburio g." [55.525912999999996,25.113931000000004] 146.43308427108235
18072 "3899" "46086" 2992 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
22840 "3014" "43694" 2017 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
19025 "29420" "7429613" 48799 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
22125 "4529" "46899" 3928 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
19686 "4527" "47691" 5442 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
21463 "4528" "47692" 5443 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
17653 "14622" "7150732" 41490 "14754" "Naiviai" [55.84397975379556,25.145549112350125] 765.6219655883444
22878 "2821" "45017" 2778 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
18900 "29615" "7432118" 49207 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
26224 "29616" "7432119" 49255 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
8091 "21886" "60_A4-01-6-241028-ba-0730" 524712 "5846" "Grūtas" [54.032271447911626,24.074587772943918] 103.01117636409927
7729 "21885" "60_A2-02-6-060404-ab-1740" 523909 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
7689 "21887" "60_A2-01-7-060404-ab3-1100" 525488 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
7700 "21891" "60_A2-01-7-060404-ab2-0730" 525340 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
7681 "21865" "60_A2-01-7-060404-b3a-1150" 524336 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
7704 "21872" "60_A2-02-6-060404-b2a-2020" 524602 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
23035 "3339" "46943" 3929 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
21164 "4710" "47249" 4660 "4945" "Onuškis" [54.48374200000001,24.591959000000003] 103.16686496628398
18391 "4711" "47251" 4673 "4945" "Onuškis" [54.48374200000001,24.591959000000003] 103.16686496628398
20232 "11705" "747606" 18312 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
19293 "6511" "54507" 10640 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
17895 "6509" "54501" 10586 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
18488 "6513" "54509" 10664 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
17555 "29093" "7413977" 46404 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
21080 "29092" "7413975" 46360 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
17397 "5232" "48167" 5861 "14684" "Lieplaukalė" [55.9354974471734,21.831098374058865] 152.04079667279404
18546 "44681" "8136902" 282352 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
21706 "3514" "45563" 2801 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
20604 "3537" "45591" 2826 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
22898 "17131" "2515701" 25662 "16347" "Sudervė" [54.761036,25.063001999999997] 2603.225038082936
22453 "3574" "45644" 2827 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
20873 "3617" "45754" 2853 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
18290 "15331" "2211799" 22440 "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.
22232 "3645" "57657" 14647 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14646 "12152" "Jonaičiai" [55.34641499999999,21.570023]
20210 "3667" "57730" 14786 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14785 "13926" "Jonaičiai" [55.346103,21.568929]
20034 "3714" "57736" 14860 "13926" "Jonaičiai" [55.346103,21.568929] 14859 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
20070 "13808" "1228372" 21096 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 21095 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
20007 "26489" "7231018" 42083 "10486" "Kuršų m-la" [55.853816990580704,22.40675061105697] 42082 "7720" "Baltininkai" [55.85382305337965,22.406770171019815]
20388 "35668" "7652364" 65704 "20855" "Kontariškiai" [56.04984708813942,24.383280063416947] 65703 "20829" "Smegduobių parkas" [56.056377166218944,24.39590345350891]
20975 "28435" "7339430" 43982 "64819" "Suostas" [56.32837413018391,24.713657886432735] 43981 "16112" "Svydžiai" [56.352930797976754,24.686322368913352]
17628 "28434" "7339429" 43958 "10057" "Svydžiai" [56.35334128457164,24.685572701413516] 43957 "64820" "Suostas" [56.32837775901334,24.713656830174433]
18208 "6591" "57635" 14307 "13926" "Jonaičiai" [55.346103,21.568929] 14306 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
20325 "3554" "57639" 14363 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14362 "12152" "Jonaičiai" [55.34641499999999,21.570023]
18899 "29102" "7413991" 46484 "71231" "Žuvintai" [54.448579423202126,23.62330650767253] 46483 "71255" "Litvanciškai" [54.41436513808293,23.67340583550103]
18040 "40377" "8016002" 106023 "72301" "Kirlikai" [55.32834500402225,21.565359093761266] 106022 "97223" "Tarvydai I" [55.328604,21.56423]
18078 "40378" "8016003" 106032 "71683" "Tarvydai II" [55.31814711876975,21.598011981975805] 106031 "97223" "Tarvydai I" [55.328604,21.56423]
18689 "5353" "57622" 14152 "13926" "Jonaičiai" [55.346103,21.568929] 14151 "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