GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2026-04-12T06:09:00+03:00,
for the dataset https://www.visimarsrutai.lt/gtfs/google_transit.zip. No country code was provided.

Use this report alongside our documentation.

⚠ This feed contains GTFS Flex features. Please note that GTFS Flex validation support is still in development. You can manually review all the validation rules for Flex data here.

A new version of the Canonical GTFS Schedule validator is available! Please update to get the latest/best validation results.

Summary

Agencies included


Feed Info


Publisher Name:
N/A
Publisher URL:
N/A
Feed Email:
N/A
Feed Language:
N/A

Files included


  1. agency.txt
  2. attributions.txt
  3. calendar.txt
  4. calendar_dates.txt
  5. fare_attributes.txt
  6. fare_rules.txt
  7. routes.txt
  8. shapes.txt
  9. stop_times.txt
  10. stops.txt
  11. trips.txt

Counts


  • Agencies: 53
  • Blocks: 0
  • Routes: 1614
  • Shapes: 4113
  • Stops: 15713
  • Trips: 29023

Specification Compliance report

119796 notices reported (0 errors, 119763 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`.
508 "3645" 1454 "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" 519688 29882.7 878 519687 29882.7 877 0.12791084993239907
"2328" 427391 35929.8 642 427390 35929.8 641 0.11119510090982554
"3659" 514738 49657.5 1177 514737 49657.5 1176 0.12791084993239907
"42205" 3575221 57850.1 335 3575220 57850.1 334 0.06178544815632574
"2369" 416195 63265.5 1261 416194 63265.5 1260 0.11119510090982554
"2385" 625652 69168.3 1771 625651 69168.3 1770 0.06441976500794575
"28733" 2429922 71509.2 1569 2429921 71509.2 1568 0.06441976500794575
"1919" 789420 136875.8 2842 789419 136875.8 2841 0.12752942403551987
"1919" 789423 136876.0 2845 789422 136876.0 2844 0.11119510090982554
"1919" 789430 136876.5 2852 789429 136876.5 2851 0.11119510232447394
"1919" 789433 136876.7 2855 789432 136876.7 2854 0.11119510161714974
"1919" 789436 136876.9 2858 789435 136876.9 2857 0.12752941555597483
"1919" 789445 136877.5 2867 789444 136877.5 2866 0.11119510090982554
"1919" 789448 136877.7 2870 789447 136877.7 2869 0.11119510161714974
"1919" 789451 136877.9 2873 789450 136877.9 2872 0.11119510090982554
"1919" 789458 136878.4 2880 789457 136878.4 2879 0.11119510090982554
"1919" 789461 136878.6 2883 789460 136878.6 2882 0.11119510161714974
"1919" 789470 136879.2 2892 789469 136879.2 2891 0.11119510090982554
"1919" 789473 136879.4 2895 789472 136879.4 2894 0.12752939825777979
"1919" 789476 136879.6 2898 789475 136879.6 2897 0.11119510161714974
"1919" 789485 136880.2 2907 789484 136880.2 2906 0.11119510161714974
"1919" 789489 136880.5 2911 789488 136880.5 2910 0.06244513630731429
"1919" 789495 136880.9 2917 789494 136880.9 2916 0.11119510161714974
"1919" 789498 136881.1 2920 789497 136881.1 2919 0.11119510090982554
"1919" 789501 136881.3 2923 789500 136881.3 2922 0.11119510090982554
"1919" 789510 136881.9 2932 789509 136881.9 2931 0.12752938095958766
"1919" 789513 136882.1 2935 789512 136882.1 2934 0.11119510161714974
"1919" 789524 136882.8 2946 789523 136882.8 2945 0.11119510161714974
"1919" 789529 136883.1 2951 789528 136883.1 2950 0.11119510161714974
"1919" 789537 136883.6 2959 789536 136883.6 2958 0.11119510090982554
"1919" 789542 136883.9 2964 789541 136883.9 2963 0.11119510090982554
"1919" 789555 136884.7 2977 789554 136884.7 2976 0.11119510161714974
"1919" 789557 136884.8 2979 789556 136884.8 2978 0.11119510090982554
"1919" 789560 136885.0 2982 789559 136885.0 2981 0.11119510161714974
"1919" 789568 136885.5 2990 789567 136885.5 2989 0.1275293557985862
"1919" 789570 136885.6 2992 789569 136885.6 2991 0.11119510161714974
"1919" 789573 136885.8 2995 789572 136885.8 2994 0.11119510090982554
"1919" 789575 136885.9 2997 789574 136885.9 2996 0.11119510232447394
"1919" 789581 136886.3 3003 789580 136886.3 3002 0.06244505260741443
"1919" 789586 136886.6 3008 789585 136886.6 3007 0.11119510161714974
"1919" 789588 136886.7 3010 789587 136886.7 3009 0.11119510090982554
"1919" 789591 136886.9 3013 789590 136886.9 3012 0.11119510090982554
"1919" 789593 136887.0 3015 789592 136887.0 3014 0.11119510090982554
"1919" 789599 136887.4 3021 789598 136887.4 3020 0.11119510090982554
"1919" 789601 136887.5 3023 789600 136887.5 3022 0.11119510161714974
"1919" 789604 136887.7 3026 789603 136887.7 3025 0.11119510090982554
"1919" 789606 136887.8 3028 789605 136887.8 3027 0.11119510161714974
"1919" 789617 136888.5 3039 789616 136888.5 3038 0.11119510161714974
"1919" 789619 136888.6 3041 789618 136888.6 3040 0.11119510090982554
"1919" 789622 136888.8 3044 789621 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" 3501299 568.4 11 3501298 568.4 10
"54233" 3501316 1332.9 28 3501315 1332.9 27
"54233" 3501331 2632.1 43 3501330 2632.1 42
"54233" 3501361 4344.1 73 3501360 4344.1 72
"54233" 3501371 4911.0 83 3501370 4911.0 82
"54233" 3501401 6436.5 113 3501400 6436.5 112
"54233" 3501410 7866.2 122 3501409 7866.2 121
"54233" 3501448 14319.8 160 3501447 14319.8 159
"54233" 3501458 14744.6 170 3501457 14744.6 169
"54233" 3501480 15719.1 192 3501479 15719.1 191
"54233" 3501491 15951.6 203 3501490 15951.6 202
"54233" 3501498 16300.0 210 3501497 16300.0 209
"54233" 3501505 16654.4 217 3501504 16654.4 216
"54233" 3501519 16900.6 231 3501518 16900.6 230
"54233" 3501550 17882.6 262 3501549 17882.6 261
"54233" 3501562 18307.8 274 3501561 18307.8 273
"54233" 3501603 22494.3 315 3501602 22494.3 314
"54233" 3501639 25025.7 351 3501638 25025.7 350
"54233" 3501649 26609.0 361 3501648 26609.0 360
"54233" 3501696 27761.7 408 3501695 27761.7 407
"54233" 3501868 38641.3 580 3501867 38641.3 579
"54233" 3501886 44076.7 598 3501885 44076.7 597
"54233" 3501894 45164.8 606 3501893 45164.8 605
"54233" 3501902 45314.5 614 3501901 45314.5 613
"54233" 3501906 45372.3 618 3501905 45372.3 617
"54233" 3501911 45737.6 623 3501910 45737.6 622
"54233" 3501921 46538.2 633 3501920 46538.2 632
"54232" 3500617 568.4 11 3500616 568.4 10
"54232" 3500634 1332.9 28 3500633 1332.9 27
"54232" 3500649 2632.1 43 3500648 2632.1 42
"54232" 3500679 4344.1 73 3500678 4344.1 72
"54232" 3500710 5622.4 104 3500709 5622.4 103
"54232" 3500716 5926.7 110 3500715 5926.7 109
"54232" 3500718 5940.2 112 3500717 5940.2 111
"54232" 3500720 6016.1 114 3500719 6016.1 113
"54232" 3500725 6393.3 119 3500724 6393.3 118
"54232" 3500732 6754.4 126 3500731 6754.4 125
"54232" 3500734 6803.6 128 3500733 6803.6 127
"54232" 3500737 7277.4 131 3500736 7277.4 130
"54232" 3500741 7324.7 135 3500740 7324.7 134
"54232" 3500744 7419.7 138 3500743 7419.7 137
"54232" 3500753 7725.2 147 3500752 7725.2 146
"54232" 3500761 8161.5 155 3500760 8161.5 154
"54232" 3500768 8575.2 162 3500767 8575.2 161
"54232" 3500777 8804.7 171 3500776 8804.7 170
"54232" 3500780 8980.8 174 3500779 8980.8 173
"54232" 3500785 9110.1 179 3500784 9110.1 178
"54232" 3500845 11189.6 239 3500844 11189.6 238
"54232" 3500877 12505.1 271 3500876 12505.1 270
"54232" 3500902 12791.9 296 3500901 12791.9 295
expired_calendar WARNING 113

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 113 affected records are displayed below.

csvRowNumber (?) The row of the faulty record. serviceId (?) The service id of the faulty record.
6 "1076"
3280 "73341"
3224 "1256"
3220 "1271"
13155 "1294"
22848 "24601"
2 "1339"
22840 "12709"
9844 "1379"
9 "1461"
1030 "71604"
4232 "71605"
22834 "1954"
15617 "83664"
12333 "83665"
19616 "20239"
22843 "20237"
22842 "17222"
16451 "17343"
24956 "78853"
2131 "78854"
48 "76307"
19654 "76308"
49 "76309"
14002 "76430"
23629 "76431"
5355 "76689"
8729 "76690"
22444 "88612"
6081 "88611"
22844 "13033"
3233 "13105"
6097 "88886"
25681 "88885"
16489 "76816"
12 "2009"
14 "2022"
13173 "2066"
9857 "2111"
16442 "2123"
13175 "2137"
13215 "62494"
6499 "2158"
6502 "2175"
6504 "2173"
19601 "2206"
6505 "2205"
13177 "2218"
16440 "2217"
19604 "2216"
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.
26033 "21_APNV_416-45-3-250526-ab-1310" "17272" 196.9887428340989 3.283145713901648 185741 17 "99227" "Krekenava" "14:03:00" 185742 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.
14539 "2699" "7597127"
14594 "2699" "7597178"
14696 "2699" "7597167"
14700 "2699" "7597134"
14709 "2699" "7597206"
14715 "2699" "7597143"
14726 "2699" "7597190"
14763 "2699" "7597204"
14905 "2699" "7597166"
14963 "2699" "7597177"
15009 "2699" "7597149"
15111 "2699" "7597142"
15141 "2699" "7597207"
15318 "2699" "7597202"
15423 "2699" "7597193"
15433 "2699" "7597175"
15477 "2699" "7597021"
15570 "2699" "7597198"
15699 "2699" "7597125"
15859 "2699" "7597129"
15942 "2699" "7597184"
16000 "2699" "7597136"
16042 "2699" "7597211"
16119 "2699" "7597147"
16166 "2699" "7597153"
16218 "2699" "7597173"
16378 "2699" "7597208"
16426 "2699" "7597187"
16467 "2699" "7597210"
16475 "2699" "7597201"
16477 "2699" "7597172"
16526 "2699" "7597164"
16536 "2699" "7597176"
16737 "2699" "7597141"
16771 "2699" "7597156"
16797 "2699" "7597209"
16836 "2699" "7597189"
16855 "2699" "7597140"
16916 "2699" "7597191"
16921 "2699" "7597133"
17064 "2699" "7597182"
17154 "2699" "7597195"
17180 "2699" "7597171"
17246 "2699" "7597132"
17296 "2699" "7597130"
17318 "2699" "7597181"
17400 "2699" "7597185"
17409 "2699" "7597205"
17420 "2699" "7597145"
17459 "2699" "7597126"
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" 15
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-GLOBOS NAMAI-RIMKAI" 35
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 36
"routes.txt" "route_long_name" "ŠVENČIONYS-ŠUTONYS-ŠVENČIONYS" 136
"routes.txt" "route_short_name" "5_VLP" 207
"routes.txt" "route_long_name" "JONAVA-ŽEIMIAI" 236
"routes.txt" "route_long_name" "ŠVENČIONYS-PABRADĖ-VILNIUS-PABRADĖ-ŠVENČIONYS" 282
"routes.txt" "route_long_name" "ŽELVA - PUSNĖ" 292
"routes.txt" "route_short_name" "40-DT" 374
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS, KANDRĖNUS, LAIČIUS" 388
"routes.txt" "route_short_name" "2_VLP" 413
"routes.txt" "route_long_name" "JONAVA - PAGELEŽIAI" 439
"routes.txt" "route_long_name" "JONAVA-PREIŠIOGALĖLĖ-ŽINĖNAI-JONAVA" 444
"routes.txt" "route_short_name" "94AT" 478
"routes.txt" "route_long_name" "JONAVA-KULVA PER JUODMENĄ" 646
"routes.txt" "route_long_name" "RIMKAI-MAXIMA-ŠVEICARIJA" 647
"routes.txt" "route_long_name" "JONAVA-JUŠKONYS" 648
"routes.txt" "route_long_name" "JONAVA-GAIŽIŪNŲ STOTIS" 649
"routes.txt" "route_long_name" "JONAVA-KUIGALIAI PER NAUJASODĮ" 654
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 683
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 709
"routes.txt" "route_short_name" "94-DC" 727
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER KANDRĖNUS, LAIČIUS" 728
"routes.txt" "route_short_name" "4_VLP" 817
"routes.txt" "route_long_name" "JONAVA-KAUNAS" 843
"routes.txt" "route_long_name" "JONAVA-KĖDAINIAI" 844
"routes.txt" "route_long_name" "JONAVA-KULVA" 846
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 864
"routes.txt" "route_short_name" "70AC" 975
"routes.txt" "route_long_name" "JONAVA-RUKLA" 1029
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI" 1030
"routes.txt" "route_short_name" "1A_VLP" 1032
"routes.txt" "route_long_name" "KUPIŠKIS - ANTAŠAVA" 1118
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 1145
"routes.txt" "route_long_name" "ŠIRVINTOS - UKMERGĖ - ŠIRVINTOS" 1193
"routes.txt" "route_short_name" "2A_VLP" 1220
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-JUODMENA-RIMKAI" 1241
"routes.txt" "route_long_name" "JONAVA-BUKONYS" 1242
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI-BUKONYS-ŠILAI-JONAVA" 1243
"routes.txt" "route_long_name" "KUPIŠKIS – ŠIMONYS PER MIGONIS" 1258
"routes.txt" "route_long_name" "KUPIŠKIS – PANEVĖŽYS" 1281
"routes.txt" "route_long_name" "ŠVENČIONYS-ADUTIŠKIS-JAKELIAI-ADUTIŠKIS-ŠVENČIONYS" 1291
"routes.txt" "route_long_name" "PASVALYS-ŽILPAMŪŠIS PER TETIRVINUS" 1314
"routes.txt" "route_long_name" "ŽELVA - KIAUKLIAI" 1324
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS" 1345
"routes.txt" "route_short_name" "50AB" 1401
"routes.txt" "route_short_name" "1_VLP" 1416
"routes.txt" "route_long_name" "JONAVA-ŠĖTA" 1447
"routes.txt" "route_long_name" "JONAVA-UPININKAI" 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.
16405 "3636" "45756" 2854 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
15206 "3651" "45771" 2883 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
19802 "3653" "45773" 2884 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
15188 "43544" "8124133" 263595 "9340" "Mokykla" [55.512857000000004,26.315831] 134.01174852768767
17173 "43548" "8124139" 263633 "8484" "Mokykla" [55.513561,26.317414] 128.25393944619788
15458 "26974" "7317010" 42521 "14216" "Glaudžiai" [55.90637400000001,21.877556999999996] 1731.1842381583824
15458 "26974" "7317010" 42522 "10163" "Glaudžiai I" [55.90637400000001,21.877556999999996] 935.5388323636666
15458 "26974" "7317010" 42537 "19491" "Plungės autobusų stotis" [55.918779,21.851513000000004] 152.03315218543798
18777 "16822" "2392140" 25220 "8988" "Miškų urėdija" [56.223549,23.648672] 192.32046673726916
15720 "16821" "2392135" 25154 "8988" "Miškų urėdija" [56.223549,23.648672] 192.32046673726916
15938 "16823" "2392142" 25259 "15916" "Miškų urėdija" [56.223436,23.64902] 114.43864929834778
16779 "18654" "3218451" 28395 "67434" "Geluva" [55.249732,23.511073] 140.46827403515317
14770 "32206" "7476584" 54022 "48065" "Troškūnų g." [55.521214350005486,25.097709664383384] 523.8519190658676
14770 "32206" "7476584" 54023 "48066" "Geležinkelio stotis" [55.526276,25.103853] 785.72734673045
14770 "32206" "7476584" 54024 "48068" "Kalno parduotuvė" [55.526598,25.099623999999995] 574.8082135251354
14770 "32206" "7476584" 54027 "48071" "Pušyno mikrorajonas" [55.521132,25.115296] 658.3695095777266
14770 "32206" "7476584" 54032 "48070" "Žiburio g." [55.525912999999996,25.113931000000004] 146.43308427108235
16613 "3899" "46086" 2992 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
16189 "3014" "43694" 2017 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
17216 "29420" "7429613" 48799 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
14736 "4529" "46899" 3928 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
18292 "4527" "47691" 5442 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
18527 "4528" "47692" 5443 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
15366 "14622" "7150732" 41490 "14754" "Naiviai" [55.84397975379556,25.145549112350125] 765.6219655883444
15500 "2821" "45017" 2778 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
17761 "29615" "7432118" 49207 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
16941 "29616" "7432119" 49255 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
7324 "21886" "60_A2-02-1-241209-ba-0720" 79121 "5846" "Grūtas" [54.032271447911626,24.074587772943918] 103.01117636409927
1263 "21885" "60_A2-01-1-241209-ab-0620" 78641 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
1407 "21887" "60_A2-01-7-060404-ab3-1430" 519058 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
1096 "21891" "60_A2-01-1-241209-ab2-1640" 78956 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
5136 "21865" "60_A2-01-7-060404-b3a-0920" 517108 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
1270 "21872" "60_A2-01-1-241209-b2a-0650" 76771 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
20025 "3339" "46943" 3929 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
19349 "4710" "47249" 4660 "4945" "Onuškis" [54.48374200000001,24.591959000000003] 103.16686496628398
16520 "4711" "47251" 4673 "4945" "Onuškis" [54.48374200000001,24.591959000000003] 103.16686496628398
17135 "11705" "747606" 18312 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
16322 "6511" "54507" 10640 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
16051 "6509" "54501" 10586 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
17040 "6513" "54509" 10664 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
15700 "29093" "7413976" 46390 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
18230 "29092" "7413975" 46360 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
15879 "5232" "48167" 5861 "14684" "Lieplaukalė" [55.9354974471734,21.831098374058865] 152.04079667279404
15253 "44681" "8136902" 275512 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
20291 "3514" "45563" 2801 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
19167 "3537" "45591" 2826 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
15520 "17131" "2515701" 25662 "16347" "Sudervė" [54.761036,25.063001999999997] 2603.225038082936
15796 "3574" "45644" 2827 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
20178 "3617" "45754" 2853 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
14653 "15331" "2211798" 22428 "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.
19198 "3645" "57657" 14647 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14646 "12152" "Jonaičiai" [55.34641499999999,21.570023]
18779 "3667" "57730" 14786 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14785 "13926" "Jonaičiai" [55.346103,21.568929]
18612 "3714" "57736" 14860 "13926" "Jonaičiai" [55.346103,21.568929] 14859 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
19057 "13808" "1228372" 21096 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 21095 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
18380 "26489" "7231018" 42083 "10486" "Kuršų m-la" [55.853816990580704,22.40675061105697] 42082 "7720" "Baltininkai" [55.85382305337965,22.406770171019815]
18678 "35668" "7652364" 65704 "20855" "Kontariškiai" [56.04984708813942,24.383280063416947] 65703 "20829" "Smegduobių parkas" [56.056377166218944,24.39590345350891]
19545 "28435" "7339430" 43982 "64819" "Suostas" [56.32837413018391,24.713657886432735] 43981 "16112" "Svydžiai" [56.352930797976754,24.686322368913352]
15341 "28434" "7339429" 43958 "10057" "Svydžiai" [56.35334128457164,24.685572701413516] 43957 "64820" "Suostas" [56.32837775901334,24.713656830174433]
15204 "6591" "57635" 14307 "13926" "Jonaičiai" [55.346103,21.568929] 14306 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
17523 "3554" "57639" 14363 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14362 "12152" "Jonaičiai" [55.34641499999999,21.570023]
17760 "29102" "7413991" 46484 "71231" "Žuvintai" [54.448579423202126,23.62330650767253] 46483 "71255" "Litvanciškai" [54.41436513808293,23.67340583550103]
15767 "40377" "8016002" 106023 "72301" "Kirlikai" [55.32834500402225,21.565359093761266] 106022 "97223" "Tarvydai I" [55.328604,21.56423]
16619 "40378" "8016003" 106032 "71683" "Tarvydai II" [55.31814711876975,21.598011981975805] 106031 "97223" "Tarvydai I" [55.328604,21.56423]
14894 "5353" "57623" 14169 "13926" "Jonaičiai" [55.346103,21.568929] 14168 "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