GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2026-07-29T06:09:47+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: 1806
  • Shapes: 5333
  • Stops: 18066
  • Trips: 48775

Specification Compliance report

27853 notices reported (0 errors, 27820 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`.
18 "22332" 675 "22839" "28A" "Plungė - Pakerai - Purvaičiai - Medingėnai - Plungė" 3 "26"
247 "22346" 676 "22854" "5" "Ligoninė - Lentpjūvės g. - Vingio g. - Stotis" 3 "26"
433 "21685" 679 "21748" "R2" "Tauragė - Šilalė" 3 "30"
716 "22356" 889 "22861" "7C" "Baseinas - Varkaliai" 3 "26"
715 "22347" 891 "22858" "2" "Stotis - N. Kapinės - Glaudžiai" 3 "26"
864 "22353" 898 "22865" "23A" "Plungė - Aleksandravas - Pakutuvėnai - Sėleniai - Šateikai - Plungė" 3 "26"
249 "22340" 913 "22849" "22B" "Plungė - Juodeikiai - Karklėnai - Stonaičiai - Plungė" 3 "26"
440 "22863" 927 "22357" "1" "Varkaliai - Stotis - Truikiai" 3 "26"
673 "22841" 929 "22329" "25" "Plungė - Alsėdžiai - Ž.Kalvarija - Plungė" 3 "26"
212 "22864" 933 "22352" "22A" "Plungė - Karklėnai - Juodeikiai - Mižuikiai - Kuliai - Plungė" 3 "26"
210 "22853" 1062 "22337" "27A" "Plungė - Paukštakiai - Kantaučiai - Plungė" 3 "26"
211 "22857" 1134 "22348" "23" "Plungė - Šateikiai - Aleksandravas - Plungė" 3 "26"
197 "22844" 1138 "22327" "7D" "Baseinas - Stotis - Prūsaliai - Linelis - sodai - baseinas" 3 "26"
471 "22843" 1304 "22354" "21B" "Plungė - Stalgėnai - Plungė" 3 "26"
928 "22349" 1330 "22859" "26" "Plungė - Alsėdžiai - Plungė" 3 "26"
1132 "22330" 1332 "22846" "24C" "Plungė - Plateliai - Gilaičiai - Gintališkė - Rūdaičiai - Plateliai - Plungė" 3 "26"
248 "22336" 1336 "22848" "28B" "Plungė - Glaudžiai - Žlibinai - Keturakiai - Plungė" 3 "26"
648 "22339" 1337 "22852" "7" "Stotis - Bendruomenės centrai - Stotis" 3 "26"
412 "22343" 1338 "22855" "21A" "Plungė - Daugėdai - Rietavas - Plungė" 3 "26"
717 "22342" 1339 "22851" "7B" "Baseinas - Glaudžiai" 3 "26"
1164 "6212" 1344 "16052" "M23" "Alytus - Punia - Butrimonys - Eigirdonys" 3 "48"
890 "22866" 1370 "22345" "24B" "Plungė - Plateliai - Žvirblaičiai - Plungė" 3 "26"
892 "22856" 1371 "22350" "22" "Plungė - Kuliai - Plungė" 3 "26"
1093 "22838" 1372 "22335" "27" "Plungė - Paukštakiai - Kantaučiai - Plungė" 3 "26"
1369 "22358" 1552 "22860" "4" "Ligoninė - Prūsaliai - Linelis" 3 "26"
649 "22341" 1554 "22840" "7A" "Stotis - Baseinas - Truikiai" 3 "26"
1133 "22334" 1555 "22845" "6" "Ligoninė - Stotis - Sodai - Noriškės - Ligoninė" 3 "26"
672 "22850" 1587 "22338" "3" "Stotis - Ligoninė - Noriškės Sodai" 3 "26"
198 "22847" 1588 "22344" "25A" "Plungė - Vilkai - Virkšai - Plateliai - Pučkoriai - Ž.Kalvarija - Šarnelė - Plungė" 3 "26"
229 "22842" 1594 "22333" "24A" "Plungė - Plateliai per Gintališkę" 3 "26"
519 "3645" 1718 "8681" "144" "Vilnius (Žalgirio stotelė) – Nemenčinė per Pikeliškes" 3 "53"
15 "22331" 1768 "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" 530831 29882.7 878 530830 29882.7 877 0.12791084993239907
"2328" 446761 35929.8 642 446760 35929.8 641 0.11119510090982554
"3659" 525881 49657.5 1177 525880 49657.5 1176 0.12791084993239907
"42205" 3612570 57850.1 335 3612569 57850.1 334 0.06178544815632574
"2369" 440412 63265.5 1261 440411 63265.5 1260 0.11119510090982554
"2385" 635957 69168.3 1771 635956 69168.3 1770 0.06441976500794575
"28733" 2303889 71509.2 1569 2303888 71509.2 1568 0.06441976500794575
"1919" 766773 136875.8 2842 766772 136875.8 2841 0.12752942403551987
"1919" 766776 136876.0 2845 766775 136876.0 2844 0.11119510090982554
"1919" 766783 136876.5 2852 766782 136876.5 2851 0.11119510232447394
"1919" 766786 136876.7 2855 766785 136876.7 2854 0.11119510161714974
"1919" 766789 136876.9 2858 766788 136876.9 2857 0.12752941555597483
"1919" 766798 136877.5 2867 766797 136877.5 2866 0.11119510090982554
"1919" 766801 136877.7 2870 766800 136877.7 2869 0.11119510161714974
"1919" 766804 136877.9 2873 766803 136877.9 2872 0.11119510090982554
"1919" 766811 136878.4 2880 766810 136878.4 2879 0.11119510090982554
"1919" 766814 136878.6 2883 766813 136878.6 2882 0.11119510161714974
"1919" 766823 136879.2 2892 766822 136879.2 2891 0.11119510090982554
"1919" 766826 136879.4 2895 766825 136879.4 2894 0.12752939825777979
"1919" 766829 136879.6 2898 766828 136879.6 2897 0.11119510161714974
"1919" 766838 136880.2 2907 766837 136880.2 2906 0.11119510161714974
"1919" 766842 136880.5 2911 766841 136880.5 2910 0.06244513630731429
"1919" 766848 136880.9 2917 766847 136880.9 2916 0.11119510161714974
"1919" 766851 136881.1 2920 766850 136881.1 2919 0.11119510090982554
"1919" 766854 136881.3 2923 766853 136881.3 2922 0.11119510090982554
"1919" 766863 136881.9 2932 766862 136881.9 2931 0.12752938095958766
"1919" 766866 136882.1 2935 766865 136882.1 2934 0.11119510161714974
"1919" 766877 136882.8 2946 766876 136882.8 2945 0.11119510161714974
"1919" 766882 136883.1 2951 766881 136883.1 2950 0.11119510161714974
"1919" 766890 136883.6 2959 766889 136883.6 2958 0.11119510090982554
"1919" 766895 136883.9 2964 766894 136883.9 2963 0.11119510090982554
"1919" 766908 136884.7 2977 766907 136884.7 2976 0.11119510161714974
"1919" 766910 136884.8 2979 766909 136884.8 2978 0.11119510090982554
"1919" 766913 136885.0 2982 766912 136885.0 2981 0.11119510161714974
"1919" 766921 136885.5 2990 766920 136885.5 2989 0.1275293557985862
"1919" 766923 136885.6 2992 766922 136885.6 2991 0.11119510161714974
"1919" 766926 136885.8 2995 766925 136885.8 2994 0.11119510090982554
"1919" 766928 136885.9 2997 766927 136885.9 2996 0.11119510232447394
"1919" 766934 136886.3 3003 766933 136886.3 3002 0.06244505260741443
"1919" 766939 136886.6 3008 766938 136886.6 3007 0.11119510161714974
"1919" 766941 136886.7 3010 766940 136886.7 3009 0.11119510090982554
"1919" 766944 136886.9 3013 766943 136886.9 3012 0.11119510090982554
"1919" 766946 136887.0 3015 766945 136887.0 3014 0.11119510090982554
"1919" 766952 136887.4 3021 766951 136887.4 3020 0.11119510090982554
"1919" 766954 136887.5 3023 766953 136887.5 3022 0.11119510161714974
"1919" 766957 136887.7 3026 766956 136887.7 3025 0.11119510090982554
"1919" 766959 136887.8 3028 766958 136887.8 3027 0.11119510161714974
"1919" 766970 136888.5 3039 766969 136888.5 3038 0.11119510161714974
"1919" 766972 136888.6 3041 766971 136888.6 3040 0.11119510090982554
"1919" 766975 136888.8 3044 766974 136888.8 3043 0.11119510090982554
equal_shape_distance_same_coordinates WARNING 22579

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 22579 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`.
"60909" 3857253 568.4 11 3857252 568.4 10
"60909" 3857270 1332.9 28 3857269 1332.9 27
"60909" 3857285 2632.1 43 3857284 2632.1 42
"60909" 3857315 4344.1 73 3857314 4344.1 72
"60909" 3857346 5622.4 104 3857345 5622.4 103
"60909" 3857352 5926.7 110 3857351 5926.7 109
"60909" 3857354 5940.2 112 3857353 5940.2 111
"60909" 3857356 6016.1 114 3857355 6016.1 113
"60909" 3857361 6393.3 119 3857360 6393.3 118
"60909" 3857368 6754.4 126 3857367 6754.4 125
"60909" 3857370 6803.6 128 3857369 6803.6 127
"60909" 3857373 7277.4 131 3857372 7277.4 130
"60909" 3857377 7324.7 135 3857376 7324.7 134
"60909" 3857380 7419.7 138 3857379 7419.7 137
"60909" 3857389 7725.2 147 3857388 7725.2 146
"60909" 3857397 8161.5 155 3857396 8161.5 154
"60909" 3857404 8575.2 162 3857403 8575.2 161
"60909" 3857413 8804.7 171 3857412 8804.7 170
"60909" 3857416 8980.8 174 3857415 8980.8 173
"60909" 3857421 9110.1 179 3857420 9110.1 178
"60909" 3857433 9411.2 191 3857432 9411.2 190
"60909" 3857452 10343.4 210 3857451 10343.4 209
"60909" 3857476 11650.3 234 3857475 11650.3 233
"60909" 3857489 12387.0 247 3857488 12387.0 246
"60909" 3857506 12972.9 264 3857505 12972.9 263
"60909" 3857535 13538.7 293 3857534 13538.7 292
"60909" 3857546 14261.5 304 3857545 14261.5 303
"60909" 3857579 15728.9 337 3857578 15728.9 336
"60909" 3857600 16513.0 358 3857599 16513.0 357
"60909" 3857696 19932.7 454 3857695 19932.7 453
"60909" 3857721 20219.4 479 3857720 20219.4 478
"60909" 3857744 21302.6 502 3857743 21302.6 501
"60908" 3856705 522.6 9 3856704 522.6 8
"60908" 3856707 826.7 11 3856706 826.7 10
"60908" 3856711 1142.0 15 3856710 1142.0 14
"60908" 3856716 2508.8 20 3856715 2508.8 19
"60908" 3856725 4246.6 29 3856724 4246.6 28
"60908" 3856732 5478.2 36 3856731 5478.2 35
"60908" 3856739 6634.7 43 3856738 6634.7 42
"60908" 3856759 7850.1 63 3856758 7850.1 62
"60908" 3856768 9235.1 72 3856767 9235.1 71
"60908" 3856775 10186.6 79 3856774 10186.6 78
"60908" 3856784 11199.0 88 3856783 11199.0 87
"60908" 3856792 11976.7 96 3856791 11976.7 95
"60908" 3856816 14087.4 120 3856815 14087.4 119
"60908" 3856822 15450.1 126 3856821 15450.1 125
"60908" 3856827 16539.0 131 3856826 16539.0 130
"60908" 3856833 17859.5 137 3856832 17859.5 136
"60908" 3856843 19431.0 147 3856842 19431.0 146
"60908" 3856858 20253.5 162 3856857 20253.5 161
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"
276 "61361"
4272 "73341"
4231 "1271"
17088 "1294"
9122 "61555"
2 "1339"
29594 "12709"
12833 "1379"
29588 "1954"
25403 "20239"
29597 "20237"
4253 "44515"
4252 "44517"
29596 "17222"
21302 "17343"
50 "76307"
25429 "76308"
51 "76309"
4575 "62029"
21650 "62035"
29950 "62039"
29951 "62045"
29952 "62051"
29953 "62056"
377 "62075"
29598 "13033"
4244 "13105"
21331 "76816"
22032 "62210"
13 "2009"
15 "2022"
21703 "62391"
17107 "2066"
12846 "2111"
21293 "2123"
17109 "2137"
17142 "62494"
8475 "2158"
8478 "2175"
8480 "2173"
30022 "62432"
25388 "2206"
8481 "2205"
17111 "2218"
21291 "2217"
25391 "2216"
21287 "2213"
29587 "2224"
12849 "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.
41009 "51_3353" "21608" 503.83206748382037 8.397201124730339 764240 9 "51_21414" "Marcinkonys" "17:03:00" 764241 10 "51_44557" "Žiūrai" "17:03:00"
9880 "26_542-20260722" "22344" 248.17705011392752 4.136284168565458 936519 2 "26_312" "Rotinėnai" "08:21:00" 936520 3 "26_286" "Žerniai" "08:21:00"
9683 "26_214-20260722" "22344" 248.17705011392752 4.136284168565458 935487 2 "26_312" "Rotinėnai" "08:21:00" 935488 3 "26_286" "Žerniai" "08:21:00"
35825 "26_542-20260728" "22847" 248.17705011392752 4.136284168565458 955017 2 "26_312" "Rotinėnai" "08:21:00" 955018 3 "26_286" "Žerniai" "08:21:00"
35819 "26_214-20260728" "22847" 248.17705011392752 4.136284168565458 956565 2 "26_312" "Rotinėnai" "08:21:00" 956566 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.
41009 "51_3353" "21608" 161.5045529032965 10.766970193553101 764239 8 "51_21416" "Marcinkonių gel.stotis" "17:00:00" 764241 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.
1700 "2699" "8250435"
1707 "2699" "8250475"
1755 "2699" "8250512"
1767 "2699" "8250468"
1965 "2699" "8250493"
1970 "2699" "8250441"
2023 "2699" "8250477"
2033 "2699" "8250407"
2076 "2699" "8250436"
2199 "2699" "8250495"
2262 "2699" "8250497"
2275 "2699" "8250496"
2344 "2699" "8250476"
2438 "2699" "8250459"
2466 "2699" "8250427"
2545 "2699" "8250455"
2546 "2699" "8250516"
2569 "2699" "8250416"
2578 "2699" "8250481"
2606 "2699" "8250487"
2645 "2699" "8250486"
2668 "2699" "8250414"
2737 "2699" "8250460"
2752 "2699" "8250415"
2884 "2699" "8250515"
2975 "2699" "8250503"
2986 "2699" "8250483"
2991 "2699" "8250514"
2999 "2699" "8250478"
3029 "2699" "8250422"
3041 "2699" "8250498"
3061 "2699" "8250434"
3091 "2699" "8250463"
5630 "2699" "8250473"
5714 "2699" "8250457"
5800 "2699" "8250509"
5816 "2699" "8250513"
6001 "2699" "8250413"
6038 "2699" "8250433"
6062 "2699" "8250431"
6228 "2699" "8250438"
6238 "2699" "8250484"
6241 "2699" "8250465"
6330 "2699" "8250494"
6560 "2699" "8250424"
6633 "2699" "8250510"
6638 "2699" "8250471"
6659 "2699" "8250420"
6667 "2699" "8250417"
6688 "2699" "8250445"
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_long_name" "RIMKAI-MAXIMA-ŠVEICARIJA" 27
"routes.txt" "route_long_name" "JONAVA-KULVA" 33
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI-BUKONYS-ŠILAI-JONAVA" 34
"routes.txt" "route_long_name" "JONAVA-KUIGALIAI PER NAUJASODĮ" 35
"routes.txt" "route_long_name" "RIMKAI-SKARULIŲ KAPINĖS" 36
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 39
"routes.txt" "route_long_name" "ŠVENČIONYS-ŠUTONYS-ŠVENČIONYS" 147
"routes.txt" "route_short_name" "3_VLP" 228
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-GLOBOS NAMAI-RIMKAI" 257
"routes.txt" "route_long_name" "JONAVA-ŠĖTA" 259
"routes.txt" "route_long_name" "JONAVA-RUKLA" 261
"routes.txt" "route_long_name" "JONAVA-KULVA PER JUODMENĄ" 262
"routes.txt" "route_long_name" "ŠVENČIONYS-PABRADĖ-VILNIUS-PABRADĖ-ŠVENČIONYS" 300
"routes.txt" "route_long_name" "ŽELVA - PUSNĖ" 304
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS, KANDRĖNUS, LAIČIUS" 305
"routes.txt" "route_short_name" "40-DT" 427
"routes.txt" "route_short_name" "5_VLP" 466
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 490
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI" 491
"routes.txt" "route_short_name" "94AT" 559
"routes.txt" "route_short_name" "2_VLP" 700
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-JUODMENA-RIMKAI" 724
"routes.txt" "route_long_name" "JONAVA-KĖDAINIAI" 726
"routes.txt" "route_long_name" "JONAVA-BUKONYS" 733
"routes.txt" "route_long_name" "JONAVA-JUŠKONYS" 735
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 767
"routes.txt" "route_short_name" "94-DC" 776
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 779
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER KANDRĖNUS, LAIČIUS" 822
"routes.txt" "route_long_name" "JONAVA-ŽEIMIAI" 940
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 953
"routes.txt" "route_short_name" "70AC" 1076
"routes.txt" "route_short_name" "4_VLP" 1120
"routes.txt" "route_long_name" "JONAVA-UPININKAI" 1149
"routes.txt" "route_long_name" "JONAVA - PAGELEŽIAI" 1158
"routes.txt" "route_long_name" "KUPIŠKIS - ANTAŠAVA" 1223
"routes.txt" "route_long_name" "ŠIRVINTOS - UKMERGĖ - ŠIRVINTOS" 1272
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 1275
"routes.txt" "route_long_name" "JONAVA-PREIŠIOGALĖLĖ-ŽINĖNAI-JONAVA" 1305
"routes.txt" "route_long_name" "JONAVA-ŽINĖNAI-PREIŠIOGALĖLĖ-JONAVA" 1306
"routes.txt" "route_short_name" "1A_VLP" 1352
"routes.txt" "route_long_name" "JONAVA - SB TAUROSTA" 1381
"routes.txt" "route_long_name" "KUPIŠKIS – ŠIMONYS PER MIGONIS" 1399
"routes.txt" "route_short_name" "50AB" 1447
"routes.txt" "route_long_name" "ŽELVA - KIAUKLIAI" 1461
"routes.txt" "route_long_name" "ŠVENČIONYS-ADUTIŠKIS-JAKELIAI-ADUTIŠKIS-ŠVENČIONYS" 1463
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS" 1486
"routes.txt" "route_long_name" "PASVALYS-ŽILPAMŪŠIS PER TETIRVINUS" 1489
"routes.txt" "route_long_name" "KUPIŠKIS – PANEVĖŽYS" 1506
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.
5809 "3636" "45756" 2594 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
8088 "3651" "45771" 2623 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
15138 "3653" "45773" 2624 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
8069 "43544" "8124133" 117025 "9340" "Mokykla" [55.512857000000004,26.315831] 134.01174852768767
5948 "43548" "8124139" 117063 "8484" "Mokykla" [55.513561,26.317414] 128.25393944619788
5869 "18654" "3218451" 25638 "30_844" "Geluva" [55.249732,23.511073] 140.46827403515317
2490 "32206" "7476584" 47098 "48065" "Troškūnų g." [55.521214350005486,25.097709664383384] 523.8519190658676
2490 "32206" "7476584" 47099 "48066" "Geležinkelio stotis" [55.526276,25.103853] 785.72734673045
2490 "32206" "7476584" 47100 "48068" "Kalno parduotuvė" [55.526598,25.099623999999995] 574.8082135251354
2490 "32206" "7476584" 47103 "48071" "Pušyno mikrorajonas" [55.521132,25.115296] 658.3695095777266
2490 "32206" "7476584" 47108 "48070" "Žiburio g." [55.525912999999996,25.113931000000004] 146.43308427108235
12811 "3899" "46086" 2715 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
5985 "29420" "7429613" 44170 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
2460 "4529" "46899" 3388 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
6182 "4527" "47691" 4885 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
6335 "4528" "47692" 4886 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
5552 "14622" "7150732" 37729 "14754" "Naiviai" [55.84397975379556,25.145549112350125] 765.6219655883444
2613 "2821" "45017" 2518 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
13604 "29615" "7432118" 44578 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
7127 "29616" "7432119" 44626 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
7479 "3339" "46943" 3389 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
2309 "4710" "47248" 4108 "4945" "Onuškis" [54.48374200000001,24.591959000000003] 103.16686496628398
6546 "4711" "47251" 4133 "4945" "Onuškis" [54.48374200000001,24.591959000000003] 103.16686496628398
3005 "11705" "747606" 16919 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
2816 "6511" "54507" 9950 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
5757 "6509" "54501" 9896 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
13336 "6513" "54509" 9974 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
5586 "29093" "7413976" 41879 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
1778 "29092" "7413975" 41849 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
5617 "44681" "8136899" 126205 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
2338 "3514" "45563" 2541 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
2134 "3537" "45591" 2566 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
2627 "17131" "2515701" 23019 "16347" "Sudervė" [54.761036,25.063001999999997] 2603.225038082936
12289 "3574" "45644" 2567 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
15200 "3617" "45754" 2593 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
5850 "15331" "2211799" 20090 "6964" "Mikieriai" [55.66300100000001,25.169295] 153.6142678364674
2963 "15330" "2211797" 20077 "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.
3 "62_2953" "Jonučiai"
37 "_1018" "Altoniškiai"
296 "41_1090" "Gedvydžiai"
324 "41_1063" "Gordai"
365 "62_2940" "Pervaža"
502 "43_3247" "Autobusų parkas"
949 "41_1250" "Stendas"
986 "41_1087" "Mykolaičiai"
1038 "44_2974" "Giedriai"
1053 "41_1052" "Kukečiai"
1097 "41_1042" "Stendas"
1201 "57_81" "2-oji Karmėlava A"
1261 "41_960" "Meškiai"
2192 "48_5192" "Takniškių kryžkelė"
2280 "41_978" "Lieporių k."
2283 "41_968" "Bazilionai"
2286 "30_960" "Paalsys"
2293 "44_2975" "Pakapė"
2403 "41_1085" "Saveikiai"
2549 "41_1091" "Gedvydžiai"
2616 "57_263" "K. Petrausko"
2659 "62_2941" "Pervaža"
2756 "41_1030" "Kairiai"
3062 "_3353" "Varžupio g."
3145 "41_1204" "Niūraičiai"
3260 "41_1071" "Bridai"
3261 "41_1083" "Dargaičiai"
3324 "41_954" "Bubių miestelis"
3326 "41_1050" "Grimziai"
3396 "41_1084" "Saveikiai"
3543 "57_79" "Karmėlava"
3574 "41_1158" "Šukiškiai"
3955 "41_1157" "Spaudžiai"
4072 "41_1152" "Kurtuvėnai"
4367 "27_3667" "Biblioteka"
4438 "62_2994" "Raudondvaris"
4685 "57_158" "Narėpai"
4751 "41_1082" "Dargaičiai"
4804 "30_37" "Plentas"
4888 "57_26" "Biruliškės"
4953 "41_1053" "Paverpenis"
4954 "41_959" "Meškiai"
4996 "57_27" "Biruliškės"
5306 "41_1138" "Turgus"
5555 "41_1031" "Kairiai"
5617 "57_236" "Sodai Neris"
5668 "30_4450" "Šoliai"
5775 "41_987" "Bubiai"
5787 "41_1056" "Gyvenvietė"
5789 "41_942" "Einoraičių st."
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.
6897 "3645" "57657" 13566 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 13565 "12152" "Jonaičiai" [55.34641499999999,21.570023]
2039 "3667" "57730" 13705 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 13704 "13926" "Jonaičiai" [55.346103,21.568929]
6293 "3714" "57736" 13779 "13926" "Jonaičiai" [55.346103,21.568929] 13778 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
14684 "13808" "1228372" 18774 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 18773 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
6269 "26489" "7231018" 38322 "10486" "Kuršų m-la" [55.853816990580704,22.40675061105697] 38321 "7720" "Baltininkai" [55.85382305337965,22.406770171019815]
21848 "57769" "30_415" 217263 "30_6224" "Vieversys" [55.059990000000006,22.656120000000005] 217262 "30_1012" "Greičių sodai" [55.06255881585111,22.648915161597998]
21850 "57705" "30_416" 217249 "30_6224" "Vieversys" [55.059990000000006,22.656120000000005] 217248 "30_1012" "Greičių sodai" [55.06255881585111,22.648915161597998]
21847 "57882" "30_414" 217280 "30_6224" "Vieversys" [55.059990000000006,22.656120000000005] 217279 "30_1012" "Greičių sodai" [55.06255881585111,22.648915161597998]
2206 "28435" "7339430" 39601 "64819" "Suostas" [56.32837413018391,24.713657886432735] 39600 "16112" "Svydžiai" [56.352930797976754,24.686322368913352]
8364 "28434" "7339429" 39577 "10057" "Svydžiai" [56.35334128457164,24.685572701413516] 39576 "64820" "Suostas" [56.32837775901334,24.713656830174433]
6285 "6591" "57636" 13242 "13926" "Jonaičiai" [55.346103,21.568929] 13241 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
1643 "3554" "57640" 13304 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 13303 "12152" "Jonaičiai" [55.34641499999999,21.570023]
6492 "40377" "8016002" 72441 "72301" "Kirlikai" [55.32834500402225,21.565359093761266] 72440 "97223" "Tarvydai I" [55.328604,21.56423]
12817 "40378" "8016003" 72450 "71683" "Tarvydai II" [55.31814711876975,21.598011981975805] 72449 "97223" "Tarvydai I" [55.328604,21.56423]
2273 "5353" "57618" 13054 "13926" "Jonaičiai" [55.346103,21.568929] 13053 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
2647 "54901" "8226897" 193264 "45588" "Balbieriškis" [54.524770000000004,23.885448] 193263 "45784" "Balbieriškis" [54.525039387689404,23.885400507640224]
6769 "54903" "8241502" 195887 "45588" "Balbieriškis" [54.524770000000004,23.885448] 195886 "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