GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2026-01-05T06:06:28+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.

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: 37
  • Blocks: 0
  • Routes: 1165
  • Shapes: 2822
  • Stops: 11188
  • Trips: 12086

Specification Compliance report

112796 notices reported (0 errors, 112763 warnings, 33 infos)

Notice Code Severity Total
duplicate_route_name WARNING 4

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`.
223 "6209" 295 "18329" "M1" "Alytus - Geniai" 3 "48"
580 "16052" 735 "6212" "M23" "Alytus - Punia - Butrimonys - Eigirdonys" 3 "48"
597 "18538" 1032 "18537" "M-152" "Kauno g.-Poliklinika-Birštono seniūnija" 3 "58"
402 "3645" 1037 "8681" "144" "Vilnius (Žalgirio stotelė) – Nemenčinė per Pikeliškes" 3 "53"
equal_shape_distance_diff_coordinates_distance_below_threshold WARNING 4148

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 4148 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" 447232 29882.7 878 447231 29882.7 877 0.12791084993239907
"39052" 83086 17654.0 367 83085 17654.0 366 0.06308593794989874
"2328" 356130 35929.8 642 356129 35929.8 641 0.11119510090982554
"3659" 442282 49657.5 1177 442281 49657.5 1176 0.12791084993239907
"32404" 2386920 13453.5 454 2386919 13453.5 453 0.06256821099246385
"2369" 342008 63265.5 1261 342007 63265.5 1260 0.11119510090982554
"2385" 549379 69168.3 1771 549378 69168.3 1770 0.06441976500794575
"4571" 918474 11713.3 325 918473 11713.3 324 0.06234682915415588
"4571" 918475 11713.3 326 918474 11713.3 325 0.06234682915415588
"36843" 2613677 81036.6 2372 2613676 81036.6 2371 0.06230995253378047
"28733" 2173407 71509.2 1569 2173406 71509.2 1568 0.06441976500794575
"1919" 714748 136875.8 2842 714747 136875.8 2841 0.12752942403551987
"1919" 714751 136876.0 2845 714750 136876.0 2844 0.11119510090982554
"1919" 714758 136876.5 2852 714757 136876.5 2851 0.11119510232447394
"1919" 714761 136876.7 2855 714760 136876.7 2854 0.11119510161714974
"1919" 714764 136876.9 2858 714763 136876.9 2857 0.12752941555597483
"1919" 714773 136877.5 2867 714772 136877.5 2866 0.11119510090982554
"1919" 714776 136877.7 2870 714775 136877.7 2869 0.11119510161714974
"1919" 714779 136877.9 2873 714778 136877.9 2872 0.11119510090982554
"1919" 714786 136878.4 2880 714785 136878.4 2879 0.11119510090982554
"1919" 714789 136878.6 2883 714788 136878.6 2882 0.11119510161714974
"1919" 714798 136879.2 2892 714797 136879.2 2891 0.11119510090982554
"1919" 714801 136879.4 2895 714800 136879.4 2894 0.12752939825777979
"1919" 714804 136879.6 2898 714803 136879.6 2897 0.11119510161714974
"1919" 714813 136880.2 2907 714812 136880.2 2906 0.11119510161714974
"1919" 714817 136880.5 2911 714816 136880.5 2910 0.06244513630731429
"1919" 714823 136880.9 2917 714822 136880.9 2916 0.11119510161714974
"1919" 714826 136881.1 2920 714825 136881.1 2919 0.11119510090982554
"1919" 714829 136881.3 2923 714828 136881.3 2922 0.11119510090982554
"1919" 714838 136881.9 2932 714837 136881.9 2931 0.12752938095958766
"1919" 714841 136882.1 2935 714840 136882.1 2934 0.11119510161714974
"1919" 714852 136882.8 2946 714851 136882.8 2945 0.11119510161714974
"1919" 714857 136883.1 2951 714856 136883.1 2950 0.11119510161714974
"1919" 714865 136883.6 2959 714864 136883.6 2958 0.11119510090982554
"1919" 714870 136883.9 2964 714869 136883.9 2963 0.11119510090982554
"1919" 714883 136884.7 2977 714882 136884.7 2976 0.11119510161714974
"1919" 714885 136884.8 2979 714884 136884.8 2978 0.11119510090982554
"1919" 714888 136885.0 2982 714887 136885.0 2981 0.11119510161714974
"1919" 714896 136885.5 2990 714895 136885.5 2989 0.1275293557985862
"1919" 714898 136885.6 2992 714897 136885.6 2991 0.11119510161714974
"1919" 714901 136885.8 2995 714900 136885.8 2994 0.11119510090982554
"1919" 714903 136885.9 2997 714902 136885.9 2996 0.11119510232447394
"1919" 714909 136886.3 3003 714908 136886.3 3002 0.06244505260741443
"1919" 714914 136886.6 3008 714913 136886.6 3007 0.11119510161714974
"1919" 714916 136886.7 3010 714915 136886.7 3009 0.11119510090982554
"1919" 714919 136886.9 3013 714918 136886.9 3012 0.11119510090982554
"1919" 714921 136887.0 3015 714920 136887.0 3014 0.11119510090982554
"1919" 714927 136887.4 3021 714926 136887.4 3020 0.11119510090982554
"1919" 714929 136887.5 3023 714928 136887.5 3022 0.11119510161714974
"1919" 714932 136887.7 3026 714931 136887.7 3025 0.11119510090982554
equal_shape_distance_same_coordinates WARNING 7501

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 7501 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`.
"39068" 1462895 1205.5 24 1462894 1205.5 23
"39068" 1463076 12631.5 205 1463075 12631.5 204
"39068" 1463232 20843.7 361 1463231 20843.7 360
"39068" 1463386 27437.5 515 1463385 27437.5 514
"39068" 1463433 29887.0 562 1463432 29887.0 561
"39068" 1463505 32834.7 634 1463504 32834.7 633
"39068" 1463559 35707.7 688 1463558 35707.7 687
"39068" 1463640 38702.0 769 1463639 38702.0 768
"39068" 1463716 42593.6 845 1463715 42593.6 844
"39068" 1463745 44406.1 874 1463744 44406.1 873
"39068" 1463762 46457.2 891 1463761 46457.2 890
"39068" 1463817 50053.0 946 1463816 50053.0 945
"39068" 1463854 52038.7 983 1463853 52038.7 982
"39068" 1463894 54228.5 1023 1463893 54228.5 1022
"39068" 1463964 57770.6 1093 1463963 57770.6 1092
"39068" 1464032 61758.5 1161 1464031 61758.5 1160
"39068" 1464295 73543.5 1424 1464294 73543.5 1423
"39068" 1464446 76707.2 1575 1464445 76707.2 1574
"39068" 1464479 79048.7 1608 1464478 79048.7 1607
"39068" 1464535 83186.9 1664 1464534 83186.9 1663
"39068" 1464617 86670.2 1746 1464616 86670.2 1745
"39068" 1464698 88600.8 1827 1464697 88600.8 1826
"39068" 1464792 91992.0 1921 1464791 91992.0 1920
"39068" 1464914 96103.6 2043 1464913 96103.6 2042
"39068" 1465093 100996.3 2222 1465092 100996.3 2221
"39068" 1465270 107481.4 2399 1465269 107481.4 2398
"39068" 1465627 118217.0 2756 1465626 118217.0 2755
"39068" 1465792 123890.4 2921 1465791 123890.4 2920
"39068" 1465860 129182.9 2989 1465859 129182.9 2988
"39068" 1465971 134007.2 3100 1465970 134007.2 3099
"39068" 1466060 139284.0 3189 1466059 139284.0 3188
"39068" 1466144 143222.0 3273 1466143 143222.0 3272
"39068" 1466195 145499.9 3324 1466194 145499.9 3323
"39068" 1466300 147266.4 3429 1466299 147266.4 3428
"39068" 1466332 149266.7 3461 1466331 149266.7 3460
"39068" 1466466 156197.5 3595 1466465 156197.5 3594
"39068" 1466578 159334.4 3707 1466577 159334.4 3706
"39068" 1466687 165426.5 3816 1466686 165426.5 3815
"39068" 1466711 166935.7 3840 1466710 166935.7 3839
"39068" 1466837 177154.4 3966 1466836 177154.4 3965
"39068" 1466931 185229.3 4060 1466930 185229.3 4059
"39068" 1467096 195188.5 4225 1467095 195188.5 4224
"39068" 1467169 196726.1 4298 1467168 196726.1 4297
"39068" 1467504 214819.6 4633 1467503 214819.6 4632
"39068" 1467690 224192.7 4819 1467689 224192.7 4818
"39068" 1467767 227224.2 4896 1467766 227224.2 4895
"2795" 669325 137085.3 3378 669324 137085.3 3377
"43541" 2845267 350.5 28 2845266 350.5 27
"43541" 2845278 811.7 39 2845277 811.7 38
"43541" 2845317 1779.8 78 2845316 1779.8 77
expired_calendar WARNING 66

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 66 affected records are displayed below.

csvRowNumber (?) The row of the faulty record. serviceId (?) The service id of the faulty record.
8048 "17222"
6901 "31530"
6 "1076"
1185 "73341"
5748 "17343"
2300 "2499"
23 "43774"
1143 "1256"
1139 "1271"
4603 "1294"
8049 "24602"
2 "1339"
2297 "2685"
8046 "12709"
3453 "1379"
4627 "2737"
5740 "2766"
1158 "60347"
8 "1461"
5753 "47502"
8037 "678"
6896 "2814"
4631 "2849"
4632 "2852"
5742 "2850"
3468 "2980"
5741 "2975"
2298 "2974"
6895 "2972"
4602 "973"
51 "76307"
6938 "76308"
52 "76309"
5765 "60928"
5762 "60959"
4641 "47985"
8042 "1954"
2320 "60890"
8044 "3000"
2299 "3012"
6903 "20239"
8050 "20237"
8051 "13033"
1149 "13105"
5794 "76816"
11 "2009"
13 "2022"
5758 "48071"
25 "48073"
4619 "2066"
fast_travel_between_consecutive_stops WARNING 2

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.
5984 "8093432" "17272" 196.9887428340989 3.283145713901648 110593 17 "99227" "Krekenava" "14:03:00" 110594 18 "99243" "Rabikiai" "14:03:00"
7185 "8091136" "17220" 196.9887428340989 3.283145713901648 94314 17 "98468" "Krekenava" "14:03:00" 94315 18 "98476" "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.
1211 "2699" "7597147"
1226 "2699" "7597148"
1227 "2699" "7597149"
1339 "2699" "7597128"
1340 "2699" "7597129"
1341 "2699" "7597130"
1342 "2699" "7597131"
1343 "2699" "7597132"
1368 "2699" "7597133"
1369 "2699" "7597134"
1370 "2699" "7597135"
1371 "2699" "7597136"
1372 "2699" "7597137"
1373 "2699" "7597138"
1374 "2699" "7597139"
1383 "2699" "7597140"
1384 "2699" "7597141"
1385 "2699" "7597142"
1386 "2699" "7597143"
1387 "2699" "7597144"
1388 "2699" "7597145"
1389 "2699" "7597146"
5363 "2699" "7597150"
5364 "2699" "7597151"
5365 "2699" "7597153"
5366 "2699" "7597154"
5382 "2699" "7597155"
5383 "2699" "7597156"
5384 "2699" "7597157"
5385 "2699" "7597158"
5386 "2699" "7597159"
5387 "2699" "7597160"
5388 "2699" "7597161"
5418 "2699" "7597162"
5419 "2699" "7597163"
5442 "2699" "7597164"
5444 "2699" "7597165"
5445 "2699" "7597166"
5446 "2699" "7597167"
5527 "2699" "7597125"
5529 "2699" "7597126"
5530 "2699" "7597127"
11028 "2699" "7597169"
11056 "2699" "7597182"
11057 "2699" "7597183"
11058 "2699" "7597184"
11059 "2699" "7597185"
11083 "2699" "7597186"
11084 "2699" "7597187"
11085 "2699" "7597188"
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 852

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 852 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\"" 37
"routes.txt" "route_long_name" "JONAVA-KĖDAINIAI" 28
"routes.txt" "route_long_name" "RIMKAI-MAXIMA-ŠVEICARIJA" 31
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-JUODMENA-RIMKAI" 33
"routes.txt" "route_long_name" "JONAVA-ŽINĖNAI-PREIŠIOGALĖLĖ-JONAVA" 131
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI" 161
"routes.txt" "route_long_name" "JONAVA-UPININKAI" 162
"routes.txt" "route_short_name" "40-DT" 194
"routes.txt" "route_long_name" "JONAVA-JUŠKONYS" 205
"routes.txt" "route_long_name" "JONAVA-PREIŠIOGALĖLĖ-ŽINĖNAI-JONAVA" 213
"routes.txt" "route_short_name" "1A_VLP" 272
"routes.txt" "route_short_name" "523_VLP" 273
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS, KANDRĖNUS, LAIČIUS" 276
"routes.txt" "route_short_name" "518_VLP" 282
"routes.txt" "route_long_name" "JONAVA-BUKONYS" 315
"routes.txt" "route_long_name" "JONAVA-ŠĖTA" 316
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 317
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-GLOBOS NAMAI-RIMKAI" 318
"routes.txt" "route_short_name" "2_VLP" 412
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER KANDRĖNUS, LAIČIUS" 460
"routes.txt" "route_long_name" "JONAVA-KAUNAS" 470
"routes.txt" "route_long_name" "JONAVA - PAGELEŽIAI" 493
"routes.txt" "route_long_name" "JONAVA-KULVA" 500
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 536
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 587
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI-BUKONYS-ŠILAI-JONAVA" 598
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 599
"routes.txt" "route_long_name" "JONAVA-KULVA PER JUODMENĄ" 600
"routes.txt" "route_long_name" "JONAVA-ŽEIMIAI" 694
"routes.txt" "route_long_name" "JONAVA-GAIŽIŪNŲ STOTIS" 742
"routes.txt" "route_long_name" "KUPIŠKIS - ANTAŠAVA" 773
"routes.txt" "route_long_name" "ŠIRVINTOS - UKMERGĖ - ŠIRVINTOS" 784
"routes.txt" "route_short_name" "2A_VLP" 815
"routes.txt" "route_long_name" "JONAVA-RUKLA" 874
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS" 912
"routes.txt" "route_long_name" "JONAVA-KUIGALIAI PER NAUJASODĮ" 916
"routes.txt" "route_long_name" "KUPIŠKIS – ŠIMONYS PER MIGONIS" 939
"routes.txt" "route_short_name" "50AB" 941
"routes.txt" "route_short_name" "1_VLP" 975
"routes.txt" "route_long_name" "KUPIŠKIS – PANEVĖŽYS" 998
"routes.txt" "route_long_name" "KUPIŠKIS – VAINIŪNIŠKIS (PER PALĖVENĖLĘ) – KUPIŠKIS" 1043
"routes.txt" "route_long_name" "UKMERGĖ- MIŠNIŪNAI PER LIAUŠIUS" 1050
"routes.txt" "route_long_name" "KUPIŠKIS – SUBAČIAUS MST. PER LUKONIS" 1062
"routes.txt" "route_long_name" "ŽELVA - KIAUKLIAI" 1068
"routes.txt" "route_long_name" "KUPIŠKIS – ALIZAVA PER PALĖVENĖLĘ – KUPIŠKIS" 1072
"routes.txt" "route_long_name" "KUPIŠKIS – LAIČIAI PER KANDRĖNUS, SKAPIŠKIO MSTL." 1107
"routes.txt" "route_short_name" "3_VLP" 1126
"routes.txt" "route_short_name" "4_VLP" 1127
"routes.txt" "route_short_name" "787_VLP" 1131
"routes.txt" "route_short_name" "5_VLP" 1136
stop_too_far_from_shape WARNING 59

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 59 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.
5006 "3636" "45756" 3497 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
5007 "3651" "45771" 3526 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
4713 "3653" "45773" 3527 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
1510 "43544" "8124133" 178992 "9340" "Mokykla" [55.512857000000004,26.315831] 134.01174852768767
1515 "43548" "8124139" 179030 "8484" "Mokykla" [55.513561,26.317414] 128.25393944619788
4994 "4529" "46899" 4305 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
5003 "4527" "47691" 5336 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
4967 "4528" "47692" 5337 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
7150 "14622" "7150732" 35414 "14754" "Naiviai" [55.84397975379556,25.145549112350125] 765.6219655883444
4131 "26974" "7317012" 36374 "14216" "Glaudžiai" [55.90637400000001,21.877556999999996] 1731.1842381583824
4131 "26974" "7317012" 36375 "10163" "Glaudžiai I" [55.90637400000001,21.877556999999996] 935.5388323636666
4131 "26974" "7317012" 36390 "19491" "Plungės autobusų stotis" [55.918779,21.851513000000004] 152.03315218543798
4985 "2821" "45017" 3421 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
767 "47096" "8163366" 187326 "70878" "Šveicarija" [55.04546,24.25836] 149.18478145589043
9430 "29615" "7432118" 44807 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
7543 "29616" "7432119" 44855 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
60 "21886" "8128860" 180836 "5846" "Grūtas" [54.032271447911626,24.074587772943918] 103.01117636409927
5 "21885" "8128906" 181548 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
157 "21887" "8128791" 179781 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
83 "21891" "8128924" 181843 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
15 "21865" "8128916" 181690 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
12 "21872" "8128913" 181641 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
8898 "29329" "7418310" 43760 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
6740 "29328" "7418309" 43737 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
1633 "3339" "46943" 4306 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
1112 "6003" "52856" 6141 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
1081 "6005" "52858" 6150 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
1094 "6004" "52857" 6146 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
1027 "6007" "52859" 6157 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
1099 "6008" "52860" 6162 "8356" "Plinkšės" [56.146646000000004,22.177096] 708.0755710896237
6553 "18654" "3218451" 22279 "67434" "Geluva" [55.249732,23.511073] 140.46827403515317
5726 "32206" "7476583" 49665 "48065" "Troškūnų g." [55.521214350005486,25.097709664383384] 523.8519190658676
5726 "32206" "7476583" 49666 "48066" "Geležinkelio stotis" [55.526276,25.103853] 785.72734673045
5726 "32206" "7476583" 49667 "48068" "Kalno parduotuvė" [55.526598,25.099623999999995] 574.8082135251354
5726 "32206" "7476583" 49670 "48071" "Pušyno mikrorajonas" [55.521132,25.115296] 658.3695095777266
5726 "32206" "7476583" 49675 "48070" "Žiburio g." [55.525912999999996,25.113931000000004] 146.43308427108235
4751 "3899" "46086" 3635 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
10597 "11705" "747606" 14667 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
1122 "6511" "54507" 8727 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
999 "6509" "54501" 8673 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
1124 "6513" "54509" 8751 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
4975 "3014" "43694" 2660 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
6302 "29093" "7413976" 41563 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
6301 "29092" "7413975" 41533 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
571 "5232" "56646" 8853 "14684" "Lieplaukalė" [55.9354974471734,21.831098374058865] 152.04079667279404
2182 "37872" "7870674" 71529 "91654" "Kūlokai" [54.450829999999996,23.395002] 3378.2526672161835
7007 "29420" "7429613" 44297 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
5992 "27242" "7324110" 37989 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
7303 "27240" "7322650" 37679 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
7302 "27239" "7322649" 37671 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
stops_match_shape_out_of_order WARNING 12

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.
428 "3645" "57657" 10868 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 10867 "12152" "Jonaičiai" [55.34641499999999,21.570023]
405 "3667" "57730" 11007 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 11006 "13926" "Jonaičiai" [55.346103,21.568929]
406 "3714" "57736" 11081 "13926" "Jonaičiai" [55.346103,21.568929] 11080 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
1810 "13808" "1228372" 16398 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 16397 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
6377 "28435" "7339430" 39097 "64819" "Suostas" [56.32837413018391,24.713657886432735] 39096 "16112" "Svydžiai" [56.352930797976754,24.686322368913352]
6375 "28434" "7339429" 39073 "10057" "Svydžiai" [56.35334128457164,24.685572701413516] 39072 "64820" "Suostas" [56.32837775901334,24.713656830174433]
402 "6591" "57635" 10528 "13926" "Jonaičiai" [55.346103,21.568929] 10527 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
460 "3554" "57639" 10584 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 10583 "12152" "Jonaičiai" [55.34641499999999,21.570023]
8046 "29102" "7413991" 41657 "71231" "Žuvintai" [54.448579423202126,23.62330650767253] 41656 "71255" "Litvanciškai" [54.41436513808293,23.67340583550103]
11999 "40377" "8016002" 76904 "72301" "Kirlikai" [55.32834500402225,21.565359093761266] 76903 "97223" "Tarvydai I" [55.328604,21.56423]
5581 "40378" "8016003" 76913 "71683" "Tarvydai II" [55.31814711876975,21.598011981975805] 76912 "97223" "Tarvydai I" [55.328604,21.56423]
501 "5353" "57618" 10356 "13926" "Jonaičiai" [55.346103,21.568929] 10355 "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