GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2026-07-28T06:09:24+03:00,
for the dataset https://www.visimarsrutai.lt/gtfs/google_transit.zip. No country code was provided.

Use this report alongside our documentation.

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: 57
  • Blocks: 0
  • Routes: 1807
  • Shapes: 5328
  • Stops: 18051
  • Trips: 48112

Specification Compliance report

27729 notices reported (0 errors, 27696 warnings, 33 infos)

Notice Code Severity Total
duplicate_route_name WARNING 32

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`.
3 "22332" 592 "22839" "28A" "Plungė - Pakerai - Purvaičiai - Medingėnai - Plungė" 3 "26"
232 "22346" 593 "22854" "5" "Ligoninė - Lentpjūvės g. - Vingio g. - Stotis" 3 "26"
426 "21685" 606 "21748" "R2" "Tauragė - Šilalė" 3 "30"
706 "22347" 814 "22858" "2" "Stotis - N. Kapinės - Glaudžiai" 3 "26"
705 "22353" 815 "22865" "23A" "Plungė - Aleksandravas - Pakutuvėnai - Sėleniai - Šateikai - Plungė" 3 "26"
704 "22356" 818 "22861" "7C" "Baseinas - Varkaliai" 3 "26"
250 "22340" 847 "22849" "22B" "Plungė - Juodeikiai - Karklėnai - Stonaičiai - Plungė" 3 "26"
360 "22863" 916 "22357" "1" "Varkaliai - Stotis - Truikiai" 3 "26"
132 "22864" 917 "22352" "22A" "Plungė - Karklėnai - Juodeikiai - Mižuikiai - Kuliai - Plungė" 3 "26"
599 "22841" 918 "22329" "25" "Plungė - Alsėdžiai - Ž.Kalvarija - Plungė" 3 "26"
130 "22853" 919 "22337" "27A" "Plungė - Paukštakiai - Kantaučiai - Plungė" 3 "26"
129 "22844" 1132 "22327" "7D" "Baseinas - Stotis - Prūsaliai - Linelis - sodai - baseinas" 3 "26"
131 "22857" 1143 "22348" "23" "Plungė - Šateikiai - Aleksandravas - Plungė" 3 "26"
234 "22336" 1245 "22848" "28B" "Plungė - Glaudžiai - Žlibinai - Keturakiai - Plungė" 3 "26"
474 "22339" 1246 "22852" "7" "Stotis - Bendruomenės centrai - Stotis" 3 "26"
1131 "22330" 1250 "22846" "24C" "Plungė - Plateliai - Gilaičiai - Gintališkė - Rūdaičiai - Plateliai - Plungė" 3 "26"
233 "22343" 1251 "22855" "21A" "Plungė - Daugėdai - Rietavas - Plungė" 3 "26"
716 "22342" 1252 "22851" "7B" "Baseinas - Glaudžiai" 3 "26"
922 "22349" 1255 "22859" "26" "Plungė - Alsėdžiai - Plungė" 3 "26"
1179 "6212" 1268 "16052" "M23" "Alytus - Punia - Butrimonys - Eigirdonys" 3 "48"
400 "22843" 1362 "22354" "21B" "Plungė - Stalgėnai - Plungė" 3 "26"
813 "22856" 1365 "22350" "22" "Plungė - Kuliai - Plungė" 3 "26"
819 "22866" 1370 "22345" "24B" "Plungė - Plateliai - Žvirblaičiai - Plungė" 3 "26"
1035 "22838" 1371 "22335" "27" "Plungė - Paukštakiai - Kantaučiai - Plungė" 3 "26"
472 "22341" 1492 "22840" "7A" "Stotis - Baseinas - Truikiai" 3 "26"
1364 "22358" 1493 "22860" "4" "Ligoninė - Prūsaliai - Linelis" 3 "26"
1133 "22334" 1494 "22845" "6" "Ligoninė - Stotis - Sodai - Noriškės - Ligoninė" 3 "26"
591 "22850" 1585 "22338" "3" "Stotis - Ligoninė - Noriškės Sodai" 3 "26"
135 "22847" 1586 "22344" "25A" "Plungė - Vilkai - Virkšai - Plateliai - Pučkoriai - Ž.Kalvarija - Šarnelė - Plungė" 3 "26"
167 "22842" 1597 "22333" "24A" "Plungė - Plateliai per Gintališkę" 3 "26"
561 "3645" 1682 "8681" "144" "Vilnius (Žalgirio stotelė) – Nemenčinė per Pikeliškes" 3 "53"
2 "22331" 1706 "22862" "21" "Plungė - Rietavas - Plungė" 3 "26"
equal_shape_distance_diff_coordinates_distance_below_threshold WARNING 3909

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 3909 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" 531331 29882.7 878 531330 29882.7 877 0.12791084993239907
"2328" 447261 35929.8 642 447260 35929.8 641 0.11119510090982554
"3659" 526381 49657.5 1177 526380 49657.5 1176 0.12791084993239907
"42205" 3655192 57850.1 335 3655191 57850.1 334 0.06178544815632574
"2369" 440912 63265.5 1261 440911 63265.5 1260 0.11119510090982554
"2385" 636457 69168.3 1771 636456 69168.3 1770 0.06441976500794575
"28733" 2303947 71509.2 1569 2303946 71509.2 1568 0.06441976500794575
"1919" 767273 136875.8 2842 767272 136875.8 2841 0.12752942403551987
"1919" 767276 136876.0 2845 767275 136876.0 2844 0.11119510090982554
"1919" 767283 136876.5 2852 767282 136876.5 2851 0.11119510232447394
"1919" 767286 136876.7 2855 767285 136876.7 2854 0.11119510161714974
"1919" 767289 136876.9 2858 767288 136876.9 2857 0.12752941555597483
"1919" 767298 136877.5 2867 767297 136877.5 2866 0.11119510090982554
"1919" 767301 136877.7 2870 767300 136877.7 2869 0.11119510161714974
"1919" 767304 136877.9 2873 767303 136877.9 2872 0.11119510090982554
"1919" 767311 136878.4 2880 767310 136878.4 2879 0.11119510090982554
"1919" 767314 136878.6 2883 767313 136878.6 2882 0.11119510161714974
"1919" 767323 136879.2 2892 767322 136879.2 2891 0.11119510090982554
"1919" 767326 136879.4 2895 767325 136879.4 2894 0.12752939825777979
"1919" 767329 136879.6 2898 767328 136879.6 2897 0.11119510161714974
"1919" 767338 136880.2 2907 767337 136880.2 2906 0.11119510161714974
"1919" 767342 136880.5 2911 767341 136880.5 2910 0.06244513630731429
"1919" 767348 136880.9 2917 767347 136880.9 2916 0.11119510161714974
"1919" 767351 136881.1 2920 767350 136881.1 2919 0.11119510090982554
"1919" 767354 136881.3 2923 767353 136881.3 2922 0.11119510090982554
"1919" 767363 136881.9 2932 767362 136881.9 2931 0.12752938095958766
"1919" 767366 136882.1 2935 767365 136882.1 2934 0.11119510161714974
"1919" 767377 136882.8 2946 767376 136882.8 2945 0.11119510161714974
"1919" 767382 136883.1 2951 767381 136883.1 2950 0.11119510161714974
"1919" 767390 136883.6 2959 767389 136883.6 2958 0.11119510090982554
"1919" 767395 136883.9 2964 767394 136883.9 2963 0.11119510090982554
"1919" 767408 136884.7 2977 767407 136884.7 2976 0.11119510161714974
"1919" 767410 136884.8 2979 767409 136884.8 2978 0.11119510090982554
"1919" 767413 136885.0 2982 767412 136885.0 2981 0.11119510161714974
"1919" 767421 136885.5 2990 767420 136885.5 2989 0.1275293557985862
"1919" 767423 136885.6 2992 767422 136885.6 2991 0.11119510161714974
"1919" 767426 136885.8 2995 767425 136885.8 2994 0.11119510090982554
"1919" 767428 136885.9 2997 767427 136885.9 2996 0.11119510232447394
"1919" 767434 136886.3 3003 767433 136886.3 3002 0.06244505260741443
"1919" 767439 136886.6 3008 767438 136886.6 3007 0.11119510161714974
"1919" 767441 136886.7 3010 767440 136886.7 3009 0.11119510090982554
"1919" 767444 136886.9 3013 767443 136886.9 3012 0.11119510090982554
"1919" 767446 136887.0 3015 767445 136887.0 3014 0.11119510090982554
"1919" 767452 136887.4 3021 767451 136887.4 3020 0.11119510090982554
"1919" 767454 136887.5 3023 767453 136887.5 3022 0.11119510161714974
"1919" 767457 136887.7 3026 767456 136887.7 3025 0.11119510090982554
"1919" 767459 136887.8 3028 767458 136887.8 3027 0.11119510161714974
"1919" 767470 136888.5 3039 767469 136888.5 3038 0.11119510161714974
"1919" 767472 136888.6 3041 767471 136888.6 3040 0.11119510090982554
"1919" 767475 136888.8 3044 767474 136888.8 3043 0.11119510090982554
equal_shape_distance_same_coordinates WARNING 22455

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 22455 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" 3113556 350.5 28 3113555 350.5 27
"43541" 3113567 811.7 39 3113566 811.7 38
"43541" 3113606 1779.8 78 3113605 1779.8 77
"43541" 3113650 3184.3 122 3113649 3184.3 121
"43541" 3113683 4418.1 155 3113682 4418.1 154
"43541" 3113699 4854.6 171 3113698 4854.6 170
"43541" 3113748 6561.9 220 3113747 6561.9 219
"43541" 3113784 7544.1 256 3113783 7544.1 255
"43541" 3113823 8757.6 295 3113822 8757.6 294
"43541" 3113840 9358.6 312 3113839 9358.6 311
"43541" 3113867 9709.1 339 3113866 9709.1 338
"43541" 3113913 10376.7 385 3113912 10376.7 384
"43541" 3113966 11116.1 438 3113965 11116.1 437
"43541" 3113997 11700.4 469 3113996 11700.4 468
"43541" 3114028 12284.8 500 3114027 12284.8 499
"43541" 3114289 14358.7 761 3114288 14358.7 760
"43541" 3114365 14706.8 837 3114364 14706.8 836
"43541" 3114465 15301.6 937 3114464 15301.6 936
"43541" 3114565 15896.4 1037 3114564 15896.4 1036
"43541" 3114641 16244.5 1113 3114640 16244.5 1112
"43541" 3114839 17133.2 1311 3114838 17133.2 1310
"43541" 3115082 18161.9 1554 3115081 18161.9 1553
"43541" 3115107 18472.3 1579 3115106 18472.3 1578
"43541" 3115157 18976.3 1629 3115156 18976.3 1628
"43541" 3115304 19673.4 1776 3115303 19673.4 1775
"43541" 3115533 21285.9 2005 3115532 21285.9 2004
"43541" 3115609 22756.6 2081 3115608 22756.6 2080
"43541" 3115685 24227.3 2157 3115684 24227.3 2156
"43541" 3115724 24719.6 2196 3115723 24719.6 2195
"43541" 3115741 25292.2 2213 3115740 25292.2 2212
"43541" 3115760 25625.9 2232 3115759 25625.9 2231
"43541" 3115848 26736.7 2320 3115847 26736.7 2319
"43541" 3115935 27236.5 2407 3115934 27236.5 2406
"43541" 3115984 28436.1 2456 3115983 28436.1 2455
"43541" 3116023 28928.5 2495 3116022 28928.5 2494
"43541" 3116074 29639.4 2546 3116073 29639.4 2545
"43541" 3116305 30811.2 2777 3116304 30811.2 2776
"43541" 3116381 31159.3 2853 3116380 31159.3 2852
"43541" 3116481 31754.1 2953 3116480 31754.1 2952
"43541" 3116581 32348.9 3053 3116580 32348.9 3052
"43541" 3116657 32697.0 3129 3116656 32697.0 3128
"43541" 3116855 33585.6 3327 3116854 33585.6 3326
"43541" 3117139 35228.5 3611 3117138 35228.5 3610
"43541" 3117192 35967.9 3664 3117191 35967.9 3663
"43541" 3117223 36552.2 3695 3117222 36552.2 3694
"43541" 3117254 37136.6 3726 3117253 37136.6 3725
"43531" 2160775 1036.1 44 2160774 1036.1 43
"43531" 2160804 1669.1 73 2160803 1669.1 72
"43531" 2160831 2285.2 100 2160830 2285.2 99
"43531" 2160872 4091.8 141 2160871 4091.8 140
expired_calendar WARNING 75

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 75 affected records are displayed below.

csvRowNumber (?) The row of the faulty record. serviceId (?) The service id of the faulty record.
8 "1076"
275 "61361"
4219 "73341"
4178 "1271"
16855 "1294"
9015 "61555"
2 "1339"
29176 "12709"
12658 "1379"
29170 "1954"
25040 "20239"
29179 "20237"
4200 "44515"
4199 "44517"
29178 "17222"
20994 "17343"
50 "76307"
25066 "76308"
51 "76309"
4523 "62029"
21340 "62035"
29530 "62039"
29531 "62045"
29532 "62051"
29533 "62056"
376 "62075"
29180 "13033"
4191 "13105"
21023 "76816"
21722 "62210"
13 "2009"
15 "2022"
21393 "62391"
16874 "2066"
12671 "2111"
20985 "2123"
16876 "2137"
16909 "62494"
8369 "2158"
8372 "2175"
8374 "2173"
29602 "62432"
25025 "2206"
8375 "2205"
16878 "2218"
20983 "2217"
25028 "2216"
20979 "2213"
29169 "2224"
12674 "2285"
fast_travel_between_consecutive_stops WARNING 5

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.
25242 "51_3353" "21608" 503.83206748382037 8.397201124730339 772309 9 "51_21414" "Marcinkonys" "17:03:00" 772310 10 "51_44557" "Žiūrai" "17:03:00"
3750 "26_542-20260722" "22344" 248.17705011392752 4.136284168565458 968885 2 "26_312" "Rotinėnai" "08:21:00" 968886 3 "26_286" "Žerniai" "08:21:00"
46422 "26_214-20260722" "22344" 248.17705011392752 4.136284168565458 967853 2 "26_312" "Rotinėnai" "08:21:00" 967854 3 "26_286" "Žerniai" "08:21:00"
22654 "26_542-20260728" "22847" 248.17705011392752 4.136284168565458 990977 2 "26_312" "Rotinėnai" "08:21:00" 990978 3 "26_286" "Žerniai" "08:21:00"
22648 "26_214-20260728" "22847" 248.17705011392752 4.136284168565458 992525 2 "26_312" "Rotinėnai" "08:21:00" 992526 3 "26_286" "Žerniai" "08:21:00"
fast_travel_between_far_stops WARNING 1

fast_travel_between_far_stops

A transit vehicle moves too fast between two far stops.

Two stops are considered "far" if they are more than 10 km apart. This normally indicates a more serious problem than too fast travel between consecutive stops.

The speed threshold depends on route type and are the same as fast_travel_between_consecutive_stops.

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.
25242 "51_3353" "21608" 161.5045529032965 10.766970193553101 772308 8 "51_21416" "Marcinkonių gel.stotis" "17:00:00" 772310 10 "51_44557" "Žiūrai" "17:03:00"
missing_bike_allowance WARNING 160

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 160 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.
755 "2699" "8250470"
806 "2699" "8250500"
831 "2699" "8250456"
855 "2699" "8250477"
865 "2699" "8250407"
908 "2699" "8250436"
1030 "2699" "8250495"
1093 "2699" "8250497"
1106 "2699" "8250496"
1175 "2699" "8250476"
1269 "2699" "8250459"
1297 "2699" "8250427"
1376 "2699" "8250455"
1377 "2699" "8250516"
1400 "2699" "8250416"
1409 "2699" "8250481"
1508 "2699" "8250491"
1536 "2699" "8250426"
1685 "2699" "8250444"
1744 "2699" "8250437"
1786 "2699" "8250505"
1790 "2699" "8250479"
1811 "2699" "8250467"
1821 "2699" "8250430"
1848 "2699" "8250511"
1850 "2699" "8250485"
1913 "2699" "8250464"
1920 "2699" "8250432"
2064 "2699" "8250493"
2069 "2699" "8250441"
2128 "2699" "8250504"
2175 "2699" "8250499"
34949 "2699" "8250409"
34962 "2699" "8250502"
34982 "2699" "8250412"
34991 "2699" "8250408"
35195 "2699" "8250440"
35199 "2699" "8250480"
35721 "2699" "8250474"
41146 "2699" "8250438"
41156 "2699" "8250484"
41159 "2699" "8250465"
41205 "2699" "8250443"
41218 "2699" "8250419"
41249 "2699" "8250501"
41293 "2699" "8250463"
41366 "2699" "8250435"
41373 "2699" "8250475"
41521 "2699" "8250512"
41533 "2699" "8250468"
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"
mixed_case_recommended_field WARNING 856

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 856 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\"" 57
"routes.txt" "route_short_name" "3_VLP" 165
"routes.txt" "route_long_name" "RIMKAI-MAXIMA-ŠVEICARIJA" 174
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI-BUKONYS-ŠILAI-JONAVA" 175
"routes.txt" "route_long_name" "JONAVA-KUIGALIAI PER NAUJASODĮ" 176
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 177
"routes.txt" "route_long_name" "JONAVA-KULVA" 178
"routes.txt" "route_long_name" "RIMKAI-SKARULIŲ KAPINĖS" 179
"routes.txt" "route_long_name" "ŠVENČIONYS-ŠUTONYS-ŠVENČIONYS" 183
"routes.txt" "route_long_name" "ŽELVA - PUSNĖ" 268
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS, KANDRĖNUS, LAIČIUS" 269
"routes.txt" "route_long_name" "ŠVENČIONYS-PABRADĖ-VILNIUS-PABRADĖ-ŠVENČIONYS" 274
"routes.txt" "route_short_name" "40-DT" 328
"routes.txt" "route_short_name" "5_VLP" 395
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-GLOBOS NAMAI-RIMKAI" 405
"routes.txt" "route_long_name" "JONAVA-RUKLA" 406
"routes.txt" "route_long_name" "JONAVA-KULVA PER JUODMENĄ" 407
"routes.txt" "route_long_name" "JONAVA-ŠĖTA" 408
"routes.txt" "route_short_name" "94AT" 540
"routes.txt" "route_short_name" "2_VLP" 628
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 641
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI" 642
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 720
"routes.txt" "route_short_name" "94-DC" 742
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 746
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER KANDRĖNUS, LAIČIUS" 772
"routes.txt" "route_long_name" "JONAVA-KĖDAINIAI" 853
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-JUODMENA-RIMKAI" 855
"routes.txt" "route_long_name" "JONAVA-BUKONYS" 857
"routes.txt" "route_long_name" "JONAVA-JUŠKONYS" 858
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 976
"routes.txt" "route_short_name" "4_VLP" 1068
"routes.txt" "route_long_name" "JONAVA-ŽEIMIAI" 1082
"routes.txt" "route_short_name" "70AC" 1084
"routes.txt" "route_long_name" "KUPIŠKIS - ANTAŠAVA" 1200
"routes.txt" "route_short_name" "1A_VLP" 1275
"routes.txt" "route_long_name" "JONAVA - PAGELEŽIAI" 1292
"routes.txt" "route_long_name" "JONAVA-UPININKAI" 1293
"routes.txt" "route_long_name" "JONAVA-PREIŠIOGALĖLĖ-ŽINĖNAI-JONAVA" 1296
"routes.txt" "route_long_name" "ŠIRVINTOS - UKMERGĖ - ŠIRVINTOS" 1306
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 1330
"routes.txt" "route_long_name" "JONAVA-ŽINĖNAI-PREIŠIOGALĖLĖ-JONAVA" 1363
"routes.txt" "route_long_name" "ŠVENČIONYS-ADUTIŠKIS-JAKELIAI-ADUTIŠKIS-ŠVENČIONYS" 1392
"routes.txt" "route_long_name" "KUPIŠKIS – PANEVĖŽYS" 1394
"routes.txt" "route_short_name" "50AB" 1438
"routes.txt" "route_long_name" "KUPIŠKIS – ŠIMONYS PER MIGONIS" 1441
"routes.txt" "route_long_name" "PASVALYS-ŽILPAMŪŠIS PER TETIRVINUS" 1453
"routes.txt" "route_short_name" "2A_VLP" 1514
"routes.txt" "route_long_name" "JONAVA - SB TAUROSTA" 1528
"routes.txt" "route_long_name" "ŽELVA - KIAUKLIAI" 1532
stop_too_far_from_shape WARNING 37

stop_too_far_from_shape

Stop too far from trip shape.

Per GTFS Best Practices, route alignments (in shapes.txt) should be within 100 meters of stop locations which a trip serves. This potentially indicates a problem with the location of the stop or the path of the shape.

You can see more about this notice here.

tripCsvRowNumber (?) The row number of the faulty record from `trips.txt`. shapeId (?) The id of the shape that is referred to. tripId (?) The id of the trip that is referred to. stopTimeCsvRowNumber (?) The row number of the faulty record from `stop_times.txt`. stopId (?) The id of the stop that is referred to. stopName (?) The name of the stop that is referred to. match (?) Latitude and longitude pair of the location. geoDistanceToShape (?) Distance from stop to shape.
43561 "3636" "45756" 2594 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
42960 "3651" "45771" 2623 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
36368 "3653" "45773" 2624 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
42941 "43544" "8124133" 117025 "9340" "Mokykla" [55.512857000000004,26.315831] 134.01174852768767
43903 "43548" "8124139" 117063 "8484" "Mokykla" [55.513561,26.317414] 128.25393944619788
43822 "18654" "3218451" 25638 "30_844" "Geluva" [55.249732,23.511073] 140.46827403515317
743 "32206" "7476586" 47146 "48065" "Troškūnų g." [55.521214350005486,25.097709664383384] 523.8519190658676
743 "32206" "7476586" 47147 "48066" "Geležinkelio stotis" [55.526276,25.103853] 785.72734673045
743 "32206" "7476586" 47148 "48068" "Kalno parduotuvė" [55.526598,25.099623999999995] 574.8082135251354
743 "32206" "7476586" 47151 "48071" "Pušyno mikrorajonas" [55.521132,25.115296] 658.3695095777266
743 "32206" "7476586" 47156 "48070" "Žiburio g." [55.525912999999996,25.113931000000004] 146.43308427108235
1580 "3899" "46086" 2715 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
44141 "29420" "7429613" 44170 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
1291 "4529" "46899" 3388 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
41099 "4527" "47691" 4885 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
41729 "4528" "47692" 4886 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
41685 "14622" "7150732" 37729 "14754" "Naiviai" [55.84397975379556,25.145549112350125] 765.6219655883444
43138 "2821" "45017" 2518 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
1809 "29615" "7432118" 44578 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
42420 "29616" "7432119" 44626 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
42513 "3339" "46943" 3389 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
1140 "4710" "47248" 4108 "4945" "Onuškis" [54.48374200000001,24.591959000000003] 103.16686496628398
42028 "4711" "47251" 4133 "4945" "Onuškis" [54.48374200000001,24.591959000000003] 103.16686496628398
44336 "11705" "747606" 16919 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
35219 "6511" "54508" 9962 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
43307 "6509" "54501" 9896 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
1692 "6513" "54509" 9974 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
41814 "29093" "7413976" 41879 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
41544 "29092" "7413975" 41849 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
41847 "44681" "8136899" 126205 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
1169 "3514" "45563" 2541 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
965 "3537" "45591" 2566 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
42492 "17131" "2515700" 22993 "16347" "Sudervė" [54.761036,25.063001999999997] 2603.225038082936
789 "3574" "45644" 2567 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
36430 "3617" "45754" 2593 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
35914 "15331" "2211798" 20078 "6964" "Mikieriai" [55.66300100000001,25.169295] 153.6142678364674
41781 "15330" "2211796" 20065 "6964" "Mikieriai" [55.66300100000001,25.169295] 153.6142678364674
stop_without_stop_time WARNING 148

stop_without_stop_time

A stop in stops.txt is not referenced by any stop_times.stop_id.

Such stops are not used by any trip and normally do not provide user value. This notice may indicate a typo in stop_times.txt.

You can see more about this notice here.

Only the first 50 of 148 affected records are displayed below.

csvRowNumber (?) The row number of the faulty record. stopId (?) The id of the faulty stop. stopName (?) The name of the faulty stop.
8 "_1018" "Altoniškiai"
40 "62_2953" "Jonučiai"
297 "41_1090" "Gedvydžiai"
381 "62_2940" "Pervaža"
485 "41_1063" "Gordai"
517 "43_3247" "Autobusų parkas"
791 "41_1087" "Mykolaičiai"
975 "41_1250" "Stendas"
1059 "44_2974" "Giedriai"
1070 "41_1052" "Kukečiai"
1114 "41_1042" "Stendas"
1220 "57_81" "2-oji Karmėlava A"
1272 "41_960" "Meškiai"
2213 "48_5192" "Takniškių kryžkelė"
2279 "41_978" "Lieporių k."
2282 "41_968" "Bazilionai"
2285 "30_960" "Paalsys"
2292 "44_2975" "Pakapė"
2542 "41_1091" "Gedvydžiai"
2616 "57_263" "K. Petrausko"
2659 "62_2941" "Pervaža"
2749 "41_1030" "Kairiai"
3057 "41_1071" "Bridai"
3058 "41_1083" "Dargaičiai"
3071 "_3353" "Varžupio g."
3156 "41_1204" "Niūraičiai"
3333 "41_954" "Bubių miestelis"
3335 "41_1050" "Grimziai"
3402 "41_1084" "Saveikiai"
3532 "57_79" "Karmėlava"
3565 "41_1158" "Šukiškiai"
3856 "41_1085" "Saveikiai"
3949 "41_1157" "Spaudžiai"
4063 "41_1152" "Kurtuvėnai"
4383 "27_3667" "Biblioteka"
4459 "62_2994" "Raudondvaris"
4679 "57_158" "Narėpai"
4744 "41_1082" "Dargaičiai"
4800 "30_37" "Plentas"
4887 "57_26" "Biruliškės"
4955 "41_1053" "Paverpenis"
4956 "41_959" "Meškiai"
4994 "57_27" "Biruliškės"
5312 "41_1138" "Turgus"
5560 "41_1031" "Kairiai"
5659 "57_236" "Sodai Neris"
5680 "30_4450" "Šoliai"
5768 "41_987" "Bubiai"
5779 "41_962" "140 km"
6007 "41_1056" "Gyvenvietė"
stops_match_shape_out_of_order WARNING 17

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.
42111 "3645" "57657" 13566 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 13565 "12152" "Jonaičiai" [55.34641499999999,21.570023]
871 "3667" "57730" 13705 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 13704 "13926" "Jonaičiai" [55.346103,21.568929]
42380 "3714" "57735" 13763 "13926" "Jonaičiai" [55.346103,21.568929] 13762 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
34993 "13808" "1228372" 18774 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 18773 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
43316 "26489" "7231018" 38322 "10486" "Kuršų m-la" [55.853816990580704,22.40675061105697] 38321 "7720" "Baltininkai" [55.85382305337965,22.406770171019815]
7784 "57769" "30_415" 217339 "30_6224" "Vieversys" [55.059990000000006,22.656120000000005] 217338 "30_1012" "Greičių sodai" [55.06255881585111,22.648915161597998]
7786 "57705" "30_416" 217325 "30_6224" "Vieversys" [55.059990000000006,22.656120000000005] 217324 "30_1012" "Greičių sodai" [55.06255881585111,22.648915161597998]
7783 "57882" "30_414" 217356 "30_6224" "Vieversys" [55.059990000000006,22.656120000000005] 217355 "30_1012" "Greičių sodai" [55.06255881585111,22.648915161597998]
1037 "28435" "7339430" 39601 "64819" "Suostas" [56.32837413018391,24.713657886432735] 39600 "16112" "Svydžiai" [56.352930797976754,24.686322368913352]
41661 "28434" "7339429" 39577 "10057" "Svydžiai" [56.35334128457164,24.685572701413516] 39576 "64820" "Suostas" [56.32837775901334,24.713656830174433]
42957 "6591" "57635" 13226 "13926" "Jonaičiai" [55.346103,21.568929] 13225 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
888 "3554" "57643" 13370 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 13369 "12152" "Jonaičiai" [55.34641499999999,21.570023]
41874 "40377" "8016002" 72441 "72301" "Kirlikai" [55.32834500402225,21.565359093761266] 72440 "97223" "Tarvydai I" [55.328604,21.56423]
1586 "40378" "8016003" 72450 "71683" "Tarvydai II" [55.31814711876975,21.598011981975805] 72449 "97223" "Tarvydai I" [55.328604,21.56423]
1104 "5353" "57618" 13054 "13926" "Jonaičiai" [55.346103,21.568929] 13053 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
43172 "54901" "8226897" 193340 "45588" "Balbieriškis" [54.524770000000004,23.885448] 193339 "45784" "Balbieriškis" [54.525039387689404,23.885400507640224]
43930 "54903" "8241502" 195963 "45588" "Balbieriškis" [54.524770000000004,23.885448] 195962 "45784" "Balbieriškis" [54.525039387689404,23.885400507640224]
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