GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2026-03-14T06:07:11+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: 50
  • Blocks: 0
  • Routes: 1551
  • Shapes: 3964
  • Stops: 15172
  • Trips: 29122

Specification Compliance report

118144 notices reported (0 errors, 118111 warnings, 33 infos)

Notice Code Severity Total
duplicate_route_name WARNING 3

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`.
264 "6209" 355 "18329" "M1" "Alytus - Geniai" 3 "48"
925 "16052" 1060 "6212" "M23" "Alytus - Punia - Butrimonys - Eigirdonys" 3 "48"
399 "3645" 1364 "8681" "144" "Vilnius (Žalgirio stotelė) – Nemenčinė per Pikeliškes" 3 "53"
equal_shape_distance_diff_coordinates_distance_below_threshold WARNING 4154

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 4154 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" 516607 29882.7 878 516606 29882.7 877 0.12791084993239907
"2328" 424310 35929.8 642 424309 35929.8 641 0.11119510090982554
"3659" 511657 49657.5 1177 511656 49657.5 1176 0.12791084993239907
"42205" 3426606 57850.1 335 3426605 57850.1 334 0.06178544815632574
"2369" 413114 63265.5 1261 413113 63265.5 1260 0.11119510090982554
"2385" 622571 69168.3 1771 622570 69168.3 1770 0.06441976500794575
"28733" 2375546 71509.2 1569 2375545 71509.2 1568 0.06441976500794575
"1919" 785301 136875.8 2842 785300 136875.8 2841 0.12752942403551987
"1919" 785304 136876.0 2845 785303 136876.0 2844 0.11119510090982554
"1919" 785311 136876.5 2852 785310 136876.5 2851 0.11119510232447394
"1919" 785314 136876.7 2855 785313 136876.7 2854 0.11119510161714974
"1919" 785317 136876.9 2858 785316 136876.9 2857 0.12752941555597483
"1919" 785326 136877.5 2867 785325 136877.5 2866 0.11119510090982554
"1919" 785329 136877.7 2870 785328 136877.7 2869 0.11119510161714974
"1919" 785332 136877.9 2873 785331 136877.9 2872 0.11119510090982554
"1919" 785339 136878.4 2880 785338 136878.4 2879 0.11119510090982554
"1919" 785342 136878.6 2883 785341 136878.6 2882 0.11119510161714974
"1919" 785351 136879.2 2892 785350 136879.2 2891 0.11119510090982554
"1919" 785354 136879.4 2895 785353 136879.4 2894 0.12752939825777979
"1919" 785357 136879.6 2898 785356 136879.6 2897 0.11119510161714974
"1919" 785366 136880.2 2907 785365 136880.2 2906 0.11119510161714974
"1919" 785370 136880.5 2911 785369 136880.5 2910 0.06244513630731429
"1919" 785376 136880.9 2917 785375 136880.9 2916 0.11119510161714974
"1919" 785379 136881.1 2920 785378 136881.1 2919 0.11119510090982554
"1919" 785382 136881.3 2923 785381 136881.3 2922 0.11119510090982554
"1919" 785391 136881.9 2932 785390 136881.9 2931 0.12752938095958766
"1919" 785394 136882.1 2935 785393 136882.1 2934 0.11119510161714974
"1919" 785405 136882.8 2946 785404 136882.8 2945 0.11119510161714974
"1919" 785410 136883.1 2951 785409 136883.1 2950 0.11119510161714974
"1919" 785418 136883.6 2959 785417 136883.6 2958 0.11119510090982554
"1919" 785423 136883.9 2964 785422 136883.9 2963 0.11119510090982554
"1919" 785436 136884.7 2977 785435 136884.7 2976 0.11119510161714974
"1919" 785438 136884.8 2979 785437 136884.8 2978 0.11119510090982554
"1919" 785441 136885.0 2982 785440 136885.0 2981 0.11119510161714974
"1919" 785449 136885.5 2990 785448 136885.5 2989 0.1275293557985862
"1919" 785451 136885.6 2992 785450 136885.6 2991 0.11119510161714974
"1919" 785454 136885.8 2995 785453 136885.8 2994 0.11119510090982554
"1919" 785456 136885.9 2997 785455 136885.9 2996 0.11119510232447394
"1919" 785462 136886.3 3003 785461 136886.3 3002 0.06244505260741443
"1919" 785467 136886.6 3008 785466 136886.6 3007 0.11119510161714974
"1919" 785469 136886.7 3010 785468 136886.7 3009 0.11119510090982554
"1919" 785472 136886.9 3013 785471 136886.9 3012 0.11119510090982554
"1919" 785474 136887.0 3015 785473 136887.0 3014 0.11119510090982554
"1919" 785480 136887.4 3021 785479 136887.4 3020 0.11119510090982554
"1919" 785482 136887.5 3023 785481 136887.5 3022 0.11119510161714974
"1919" 785485 136887.7 3026 785484 136887.7 3025 0.11119510090982554
"1919" 785487 136887.8 3028 785486 136887.8 3027 0.11119510161714974
"1919" 785498 136888.5 3039 785497 136888.5 3038 0.11119510161714974
"1919" 785500 136888.6 3041 785499 136888.6 3040 0.11119510090982554
"1919" 785503 136888.8 3044 785502 136888.8 3043 0.11119510090982554
equal_shape_distance_same_coordinates WARNING 13396

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 13396 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`.
"43541" 3202919 350.5 28 3202918 350.5 27
"43541" 3202930 811.7 39 3202929 811.7 38
"43541" 3202969 1779.8 78 3202968 1779.8 77
"43541" 3203013 3184.3 122 3203012 3184.3 121
"43541" 3203046 4418.1 155 3203045 4418.1 154
"43541" 3203062 4854.6 171 3203061 4854.6 170
"43541" 3203111 6561.9 220 3203110 6561.9 219
"43541" 3203147 7544.1 256 3203146 7544.1 255
"43541" 3203186 8757.6 295 3203185 8757.6 294
"43541" 3203203 9358.6 312 3203202 9358.6 311
"43541" 3203230 9709.1 339 3203229 9709.1 338
"43541" 3203276 10376.7 385 3203275 10376.7 384
"43541" 3203329 11116.1 438 3203328 11116.1 437
"43541" 3203360 11700.4 469 3203359 11700.4 468
"43541" 3203391 12284.8 500 3203390 12284.8 499
"43541" 3203652 14358.7 761 3203651 14358.7 760
"43541" 3203728 14706.8 837 3203727 14706.8 836
"43541" 3203828 15301.6 937 3203827 15301.6 936
"43541" 3203928 15896.4 1037 3203927 15896.4 1036
"43541" 3204004 16244.5 1113 3204003 16244.5 1112
"43541" 3204202 17133.2 1311 3204201 17133.2 1310
"43541" 3204445 18161.9 1554 3204444 18161.9 1553
"43541" 3204470 18472.3 1579 3204469 18472.3 1578
"43541" 3204520 18976.3 1629 3204519 18976.3 1628
"43541" 3204667 19673.4 1776 3204666 19673.4 1775
"43541" 3204896 21285.9 2005 3204895 21285.9 2004
"43541" 3204972 22756.6 2081 3204971 22756.6 2080
"43541" 3205048 24227.3 2157 3205047 24227.3 2156
"43541" 3205087 24719.6 2196 3205086 24719.6 2195
"43541" 3205104 25292.2 2213 3205103 25292.2 2212
"43541" 3205123 25625.9 2232 3205122 25625.9 2231
"43541" 3205211 26736.7 2320 3205210 26736.7 2319
"43541" 3205298 27236.5 2407 3205297 27236.5 2406
"43541" 3205347 28436.1 2456 3205346 28436.1 2455
"43541" 3205386 28928.5 2495 3205385 28928.5 2494
"43541" 3205437 29639.4 2546 3205436 29639.4 2545
"43541" 3205668 30811.2 2777 3205667 30811.2 2776
"43541" 3205744 31159.3 2853 3205743 31159.3 2852
"43541" 3205844 31754.1 2953 3205843 31754.1 2952
"43541" 3205944 32348.9 3053 3205943 32348.9 3052
"43541" 3206020 32697.0 3129 3206019 32697.0 3128
"43541" 3206218 33585.6 3327 3206217 33585.6 3326
"43541" 3206502 35228.5 3611 3206501 35228.5 3610
"43541" 3206555 35967.9 3664 3206554 35967.9 3663
"43541" 3206586 36552.2 3695 3206585 36552.2 3694
"43541" 3206617 37136.6 3726 3206616 37136.6 3725
"43531" 2247352 1036.1 44 2247351 1036.1 43
"43531" 2247381 1669.1 73 2247380 1669.1 72
"43531" 2247408 2285.2 100 2247407 2285.2 99
"43531" 2247449 4091.8 141 2247448 4091.8 140
expired_calendar WARNING 69

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 69 affected records are displayed below.

csvRowNumber (?) The row of the faulty record. serviceId (?) The service id of the faulty record.
6 "1076"
11797 "13743"
2932 "73341"
5806 "2499"
2879 "1256"
2875 "1271"
11762 "1294"
20451 "24601"
20445 "24602"
2 "1339"
5803 "2685"
20442 "12709"
8787 "1379"
11788 "2737"
14709 "2766"
9 "1461"
14722 "47502"
17553 "2814"
11792 "2849"
11793 "2852"
14711 "2850"
8802 "2980"
14710 "2975"
5804 "2974"
17552 "2972"
11808 "47985"
20436 "1954"
17561 "20239"
20446 "20237"
11971 "67268"
20444 "17222"
17559 "31530"
14717 "17343"
23 "43774"
20431 "678"
11761 "973"
54 "76307"
17600 "76308"
55 "76309"
14895 "65866"
20439 "3000"
5805 "3012"
20447 "13033"
2888 "13105"
14771 "76816"
3072 "76869"
8981 "76870"
12 "2009"
14 "2022"
14727 "48071"
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.
28769 "21_APNV_416-45-3-250526-ab-1310" "17272" 196.9887428340989 3.283145713901648 216425 17 "99227" "Krekenava" "14:03:00" 216426 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.
78 "2699" "7597188"
81 "2699" "7597203"
88 "2699" "7597157"
208 "2699" "7597127"
276 "2699" "7597166"
307 "2699" "7597136"
348 "2699" "7597211"
386 "2699" "7597208"
423 "2699" "7597187"
465 "2699" "7597156"
488 "2699" "7597209"
522 "2699" "7597189"
539 "2699" "7597195"
561 "2699" "7597171"
621 "2699" "7597132"
731 "2699" "7597196"
753 "2699" "7597144"
978 "2699" "7597155"
1024 "2699" "7597146"
1264 "2699" "7597163"
1344 "2699" "7597212"
1640 "2699" "7597198"
1712 "2699" "7597184"
1897 "2699" "7597141"
1923 "2699" "7597182"
2014 "2699" "7597126"
2049 "2699" "7597138"
2427 "2699" "7597174"
2437 "2699" "7597139"
2515 "2699" "7597169"
2587 "2699" "7597183"
2635 "2699" "7597148"
2669 "2699" "7597194"
2680 "2699" "7597131"
2746 "2699" "7597192"
2827 "2699" "7597167"
2831 "2699" "7597134"
2838 "2699" "7597206"
2844 "2699" "7597143"
2853 "2699" "7597190"
2888 "2699" "7597204"
2935 "2699" "7597142"
2961 "2699" "7597207"
3001 "2699" "7597021"
3092 "2699" "7597193"
3101 "2699" "7597175"
3211 "2699" "7597129"
3221 "2699" "7597153"
3267 "2699" "7597173"
3528 "2699" "7597185"
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 305

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 305 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\"" 50
"routes.txt" "route_long_name" "ŠVENČIONYS-ŠUTONYS-ŠVENČIONYS" 15
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 138
"routes.txt" "route_long_name" "JONAVA-KĖDAINIAI" 157
"routes.txt" "route_short_name" "3_VLP" 182
"routes.txt" "route_long_name" "ŠVENČIONYS-PABRADĖ-VILNIUS-PABRADĖ-ŠVENČIONYS" 198
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS, KANDRĖNUS, LAIČIUS" 308
"routes.txt" "route_long_name" "ŽELVA - PUSNĖ" 310
"routes.txt" "route_short_name" "40-DT" 322
"routes.txt" "route_long_name" "RIMKAI-MAXIMA-ŠVEICARIJA" 339
"routes.txt" "route_long_name" "JONAVA-ŠĖTA" 361
"routes.txt" "route_long_name" "JONAVA-KUIGALIAI PER NAUJASODĮ" 362
"routes.txt" "route_short_name" "5_VLP" 390
"routes.txt" "route_short_name" "94AT" 519
"routes.txt" "route_long_name" "JONAVA-ŽEIMIAI" 544
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI" 545
"routes.txt" "route_long_name" "JONAVA-KAUNAS" 546
"routes.txt" "route_long_name" "JONAVA-BUKONYS" 547
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-JUODMENA-RIMKAI" 572
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI-BUKONYS-ŠILAI-JONAVA" 573
"routes.txt" "route_long_name" "JONAVA - PAGELEŽIAI" 574
"routes.txt" "route_short_name" "2_VLP" 589
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 603
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 609
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER KANDRĖNUS, LAIČIUS" 635
"routes.txt" "route_short_name" "94-DC" 707
"routes.txt" "route_long_name" "JONAVA-KULVA PER JUODMENĄ" 742
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 818
"routes.txt" "route_short_name" "70AC" 829
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 923
"routes.txt" "route_short_name" "4_VLP" 946
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 971
"routes.txt" "route_long_name" "KUPIŠKIS - ANTAŠAVA" 982
"routes.txt" "route_long_name" "ŠIRVINTOS - UKMERGĖ - ŠIRVINTOS" 1013
"routes.txt" "route_short_name" "1A_VLP" 1148
"routes.txt" "route_short_name" "50AB" 1171
"routes.txt" "route_long_name" "KUPIŠKIS – PANEVĖŽYS" 1174
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS" 1198
"routes.txt" "route_long_name" "ŠVENČIONYS-ADUTIŠKIS-JAKELIAI-ADUTIŠKIS-ŠVENČIONYS" 1215
"routes.txt" "route_long_name" "KUPIŠKIS – ŠIMONYS PER MIGONIS" 1236
"routes.txt" "route_long_name" "ŽELVA - KIAUKLIAI" 1237
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-GLOBOS NAMAI-RIMKAI" 1308
"routes.txt" "route_long_name" "JONAVA-UPININKAI" 1309
"routes.txt" "route_long_name" "JONAVA-JUŠKONYS" 1320
"routes.txt" "route_long_name" "JONAVA-ŽINĖNAI-PREIŠIOGALĖLĖ-JONAVA" 1321
"routes.txt" "route_long_name" "JONAVA-PREIŠIOGALĖLĖ-ŽINĖNAI-JONAVA" 1322
"routes.txt" "route_short_name" "2A_VLP" 1338
"routes.txt" "route_long_name" "KUPIŠKIS – VAINIŪNIŠKIS (PER PALĖVENĖLĘ) – KUPIŠKIS" 1369
"routes.txt" "route_long_name" "KUPIŠKIS – ALIZAVA PER PALĖVENĖLĘ – KUPIŠKIS" 1371
"routes.txt" "route_long_name" "KUPIŠKIS – SUBAČIAUS MST. PER LUKONIS" 1381
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.
406 "3636" "45756" 2854 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
1474 "3651" "45771" 2883 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
28180 "3653" "45773" 2884 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
1456 "43544" "8124133" 400080 "9340" "Mokykla" [55.512857000000004,26.315831] 134.01174852768767
554 "43548" "8124139" 400118 "8484" "Mokykla" [55.513561,26.317414] 128.25393944619788
765 "26974" "7317018" 39395 "14216" "Glaudžiai" [55.90637400000001,21.877556999999996] 1731.1842381583824
765 "26974" "7317018" 39396 "10163" "Glaudžiai I" [55.90637400000001,21.877556999999996] 935.5388323636666
765 "26974" "7317018" 39411 "19491" "Plungės autobusų stotis" [55.918779,21.851513000000004] 152.03315218543798
2554 "16822" "2392139" 25520 "8988" "Miškų urėdija" [56.223549,23.648672] 192.32046673726916
456 "16821" "2392134" 25462 "8988" "Miškų urėdija" [56.223549,23.648672] 192.32046673726916
1708 "16823" "2392142" 25577 "15916" "Miškų urėdija" [56.223436,23.64902] 114.43864929834778
472 "18654" "3218451" 28734 "67434" "Geluva" [55.249732,23.511073] 140.46827403515317
958 "32206" "7476585" 50836 "48065" "Troškūnų g." [55.521214350005486,25.097709664383384] 523.8519190658676
958 "32206" "7476585" 50837 "48066" "Geležinkelio stotis" [55.526276,25.103853] 785.72734673045
958 "32206" "7476585" 50838 "48068" "Kalno parduotuvė" [55.526598,25.099623999999995] 574.8082135251354
958 "32206" "7476585" 50841 "48071" "Pušyno mikrorajonas" [55.521132,25.115296] 658.3695095777266
958 "32206" "7476585" 50846 "48070" "Žiburio g." [55.525912999999996,25.113931000000004] 146.43308427108235
3356 "3899" "46086" 2992 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
3240 "3014" "43694" 2017 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
12670 "37872" "61_49W" 76760 "91654" "Kūlokai" [54.450829999999996,23.395002] 3378.2526672161835
597 "29420" "7429613" 45523 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
2862 "4529" "46899" 3928 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
809 "4527" "47691" 5442 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
2293 "4528" "47692" 5443 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
493 "14622" "7150733" 38261 "14754" "Naiviai" [55.84397975379556,25.145549112350125] 765.6219655883444
3020 "2821" "45017" 2778 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
3591 "29615" "7432118" 45931 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
9142 "29616" "7432119" 45979 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
13089 "21886" "60_A2-02-1-241209-ba-1520" 70936 "5846" "Grūtas" [54.032271447911626,24.074587772943918] 103.01117636409927
6497 "21885" "60_A30-01-7-251110-ab-1650" 401261 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
8229 "21887" "60_A2-01-7-251110-ab3-1430" 401486 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
7085 "21891" "60_A2-01-6-251110-ab2-0740" 403548 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
7452 "21865" "60_A2-01-7-251110-b3a-0920" 401283 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
6508 "21872" "60_A2-01-6-251110-b2a-0930" 402151 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
2664 "3339" "46943" 3929 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
1155 "4710" "47249" 4660 "4945" "Onuškis" [54.48374200000001,24.591959000000003] 103.16686496628398
1214 "4711" "47250" 4661 "4945" "Onuškis" [54.48374200000001,24.591959000000003] 103.16686496628398
1988 "11705" "747606" 18630 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
1785 "6511" "54507" 10572 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
357 "6509" "54501" 10518 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
3476 "6513" "54509" 10596 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
1308 "29093" "7413977" 43082 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
2216 "29092" "7413975" 43038 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
1657 "5232" "48167" 5793 "14684" "Lieplaukalė" [55.9354974471734,21.831098374058865] 152.04079667279404
2747 "3514" "45563" 2801 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
3999 "3537" "45591" 2826 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
3036 "17131" "2515701" 25980 "16347" "Sudervė" [54.761036,25.063001999999997] 2603.225038082936
3160 "3574" "45644" 2827 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
28573 "3617" "45754" 2853 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
453 "15331" "2211799" 22758 "6964" "Mikieriai" [55.66300100000001,25.169295] 153.6142678364674
stops_match_shape_out_of_order WARNING 13

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.
2463 "3645" "57657" 14579 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14578 "12152" "Jonaičiai" [55.34641499999999,21.570023]
3904 "3667" "57730" 14718 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14717 "13926" "Jonaičiai" [55.346103,21.568929]
913 "3714" "57736" 14792 "13926" "Jonaičiai" [55.346103,21.568929] 14791 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
28001 "13808" "1228372" 21414 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 21413 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
888 "26489" "7231018" 38839 "10486" "Kuršų m-la" [55.853816990580704,22.40675061105697] 38838 "7720" "Baltininkai" [55.85382305337965,22.406770171019815]
4071 "28435" "7339430" 40720 "64819" "Suostas" [56.32837413018391,24.713657886432735] 40719 "16112" "Svydžiai" [56.352930797976754,24.686322368913352]
8765 "28434" "7339429" 40696 "10057" "Svydžiai" [56.35334128457164,24.685572701413516] 40695 "64820" "Suostas" [56.32837775901334,24.713656830174433]
905 "6591" "57636" 14255 "13926" "Jonaičiai" [55.346103,21.568929] 14254 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
2071 "3554" "57639" 14295 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14294 "12152" "Jonaičiai" [55.34641499999999,21.570023]
3590 "29102" "7413991" 43162 "71231" "Žuvintai" [54.448579423202126,23.62330650767253] 43161 "71255" "Litvanciškai" [54.41436513808293,23.67340583550103]
8880 "40377" "8016002" 110719 "72301" "Kirlikai" [55.32834500402225,21.565359093761266] 110718 "97223" "Tarvydai I" [55.328604,21.56423]
3363 "40378" "8016003" 110728 "71683" "Tarvydai II" [55.31814711876975,21.598011981975805] 110727 "97223" "Tarvydai I" [55.328604,21.56423]
266 "5353" "57623" 14101 "13926" "Jonaičiai" [55.346103,21.568929] 14100 "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