GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2026-04-15T06:07:27+03:00,
for the dataset https://www.visimarsrutai.lt/gtfs/google_transit.zip. No country code was provided.

Use this report alongside our documentation.

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

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

Summary

Agencies included


Feed Info


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

Files included


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

Counts


  • Agencies: 53
  • Blocks: 0
  • Routes: 1661
  • Shapes: 4331
  • Stops: 15854
  • Trips: 32163

Specification Compliance report

123691 notices reported (0 errors, 123658 warnings, 33 infos)

Notice Code Severity Total
duplicate_route_name WARNING 41

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`.
203 "20692" 224 "20628" "M-180" "Kaunas-Ringaudai-Tabariškiai-Girininkai" 3 "14"
211 "18329" 305 "6209" "M1" "Alytus - Geniai" 3 "48"
24 "20638" 421 "20708" "M-159" "Kaunas-Mastaičiai-Pažėrai-SB\"Aronija\"-Smėlio g." 3 "14"
422 "20691" 434 "20635" "M-194" "Kauno pilis-Garliava-Linksmakalnis" 3 "14"
417 "20722" 438 "20662" "M-156" "Kaunas - Neveronys" 3 "14"
419 "20715" 459 "20627" "M-167" "Kaunas-Raudondvaris-SB\"Vejuona\"-Padauguva-Vilkija" 3 "14"
45 "20642" 632 "20685" "M-108" "Kaunas-Ireniškiai-Seniava" 3 "14"
436 "20658" 633 "20719" "M-140" "Kauno pilis-Garliava-Mastaičiai-Kampiškiai" 3 "14"
9 "20711" 649 "20636" "M-197" "Kaunas-Babtai-Panevėžiukas (SB\"Vija\")" 3 "14"
207 "20688" 669 "20645" "M-181" "Kaunas-Noreikiškės-Ringaudai-Tabariškiai-Gelžkeliuko g." 3 "14"
460 "20654" 822 "20709" "M-148" "Kaunas-Domeikava-SB\"Didžiosios Lapės\"" 3 "14"
667 "20633" 823 "20696" "M-151" "Kaunas-Ramučiai" 3 "14"
435 "20656" 827 "20693" "M-154" "Čekiškė - Daugėliškiai - Vilkija - Kaunas" 3 "14"
49 "20650" 830 "20707" "M-151(A)" "Kaunas-Urban HUB-LEZ-Kaunas" 3 "14"
6 "20705" 835 "20649" "M-157" "Kaunas-Kačerginė-Zapyškis-Ežerėlis" 3 "14"
8 "20718" 846 "20657" "M-168" "Kaunas-Linkuvos g.-Užliedžiai-Babtai-Vosiškiai" 3 "14"
206 "20687" 847 "20663" "M-189" "Kaunas - Drąseikiai - Batėgala" 3 "14"
828 "20689" 848 "20631" "M-149" "Kaunas-Rokeliai-Gervėnupis" 3 "14"
418 "20698" 880 "20626" "M-120" "Karmėlava-Ramučiai" 3 "14"
837 "20647" 1026 "20721" "M-150" "Kaunas-Ramučiai-Karmėlava-Salupiai-SB\"Inkaras\"" 3 "14"
230 "20660" 1027 "20690" "M-163" "Kaunas-Babtai-Labūnava" 3 "14"
229 "20655" 1030 "20717" "M-120" "Kaunas-Karmėlavos kapinės" 3 "14"
836 "20646" 1031 "20703" "M-153" "Kaunas-Vilkija-Liučiūnai-Čekiškė" 3 "14"
424 "20700" 1074 "20639" "M-101A" "Kauno pilis-Šilainiai-Ledos g.(Užliedžiai)" 3 "14"
832 "16052" 1180 "6212" "M23" "Alytus - Punia - Butrimonys - Eigirdonys" 3 "48"
1044 "20630" 1242 "20683" "M-172" "Kaunas-Margininkai-Piliuona-Pakuonis" 3 "14"
439 "20644" 1243 "20706" "M-135" "Kaunas - Rokai - Girininkai" 3 "14"
874 "20651" 1244 "20716" "M-180A" "Kaunas-Akademija-Bajorai-Girininkų miškas" 3 "14"
876 "20641" 1245 "20699" "M-170" "Kaunas-Vilkija-Purviškiai-Čekiškė" 3 "14"
1033 "20694" 1261 "20632" "M-106" "Kaunas-Jonučiai-Garliava-Jurginiškiai" 3 "14"
420 "20697" 1262 "20634" "M-198" "Kaunas - Vandžiogala - Boniškiai" 3 "14"
824 "20702" 1264 "20652" "M-161" "Kaunas-Raudondvaris-Netoniai- Kulautuva" 3 "14"
845 "20661" 1446 "20710" "M-103" "Kauno pilis-SB\"Lokomotyvas\"-Sitkūnai-Babtai" 3 "14"
646 "20653" 1447 "20713" "M-101" "Kauno pilis-Giraitė-Ryto g.(Užliedžiai)" 3 "14"
1045 "20665" 1448 "20714" "M-179" "Kaunas-Rokeliai-Viršužiglis-Arlaviškės" 3 "14"
223 "20648" 1449 "20720" "M-104" "Kaunas-Ražiškiai-Karkazai-Kreidos g.-Seniava" 3 "14"
1257 "20637" 1450 "20695" "M-199" "Kaunas-Voškoniai-Vandžiogala-Labūnava" 3 "14"
254 "20643" 1451 "20701" "M-165" "Kaunas-Kačerginė-Zapyškis-Lekėčiai" 3 "14"
1028 "20704" 1464 "20664" "M-146" "Kaunas-Rokeliai-Žiegždriai" 3 "14"
423 "20686" 1501 "20629" "M-168" "Vosiškiai-Babtai" 3 "14"
499 "3645" 1539 "8681" "144" "Vilnius (Žalgirio stotelė) – Nemenčinė per Pikeliškes" 3 "53"
equal_shape_distance_diff_coordinates_distance_below_threshold WARNING 4156

equal_shape_distance_diff_coordinates_distance_below_threshold

Two consecutive points have equal shape_dist_traveled and different lat/lon coordinates in shapes.txt and the distance between the two points is greater than 0 but less than 1.11m.

When sorted by shape.shape_pt_sequence, the values for shape_dist_traveled must increase along a shape. Two consecutive points with equal values for shape_dist_traveled and small difference of coordinates (greater than 0 but less than 1.11 m distance) result in a warning.

You can see more about this notice here.

Only the first 50 of 4156 affected records are displayed below.

shapeId (?) The id of the faulty shape. csvRowNumber (?) The row number from `shapes.txt`. shapeDistTraveled (?) The faulty record's `shape_dist_traveled` value. shapePtSequence (?) The faulty record's `shapes.shape_pt_sequence`. prevCsvRowNumber (?) The row number from `shapes.txt` of the previous shape point. prevShapeDistTraveled (?) The previous shape point's `shape_dist_traveled` value. prevShapePtSequence (?) The previous record's `shapes.shape_pt_sequence`. actualDistanceBetweenShapePoints (?) Actual distance traveled along the shape from the first shape point to the previous shape point.
"3647" 516736 29882.7 878 516735 29882.7 877 0.12791084993239907
"2328" 424439 35929.8 642 424438 35929.8 641 0.11119510090982554
"3659" 511786 49657.5 1177 511785 49657.5 1176 0.12791084993239907
"42205" 3644827 57850.1 335 3644826 57850.1 334 0.06178544815632574
"2369" 413243 63265.5 1261 413242 63265.5 1260 0.11119510090982554
"2385" 622700 69168.3 1771 622699 69168.3 1770 0.06441976500794575
"28733" 2431125 71509.2 1569 2431124 71509.2 1568 0.06441976500794575
"1919" 786468 136875.8 2842 786467 136875.8 2841 0.12752942403551987
"1919" 786471 136876.0 2845 786470 136876.0 2844 0.11119510090982554
"1919" 786478 136876.5 2852 786477 136876.5 2851 0.11119510232447394
"1919" 786481 136876.7 2855 786480 136876.7 2854 0.11119510161714974
"1919" 786484 136876.9 2858 786483 136876.9 2857 0.12752941555597483
"1919" 786493 136877.5 2867 786492 136877.5 2866 0.11119510090982554
"1919" 786496 136877.7 2870 786495 136877.7 2869 0.11119510161714974
"1919" 786499 136877.9 2873 786498 136877.9 2872 0.11119510090982554
"1919" 786506 136878.4 2880 786505 136878.4 2879 0.11119510090982554
"1919" 786509 136878.6 2883 786508 136878.6 2882 0.11119510161714974
"1919" 786518 136879.2 2892 786517 136879.2 2891 0.11119510090982554
"1919" 786521 136879.4 2895 786520 136879.4 2894 0.12752939825777979
"1919" 786524 136879.6 2898 786523 136879.6 2897 0.11119510161714974
"1919" 786533 136880.2 2907 786532 136880.2 2906 0.11119510161714974
"1919" 786537 136880.5 2911 786536 136880.5 2910 0.06244513630731429
"1919" 786543 136880.9 2917 786542 136880.9 2916 0.11119510161714974
"1919" 786546 136881.1 2920 786545 136881.1 2919 0.11119510090982554
"1919" 786549 136881.3 2923 786548 136881.3 2922 0.11119510090982554
"1919" 786558 136881.9 2932 786557 136881.9 2931 0.12752938095958766
"1919" 786561 136882.1 2935 786560 136882.1 2934 0.11119510161714974
"1919" 786572 136882.8 2946 786571 136882.8 2945 0.11119510161714974
"1919" 786577 136883.1 2951 786576 136883.1 2950 0.11119510161714974
"1919" 786585 136883.6 2959 786584 136883.6 2958 0.11119510090982554
"1919" 786590 136883.9 2964 786589 136883.9 2963 0.11119510090982554
"1919" 786603 136884.7 2977 786602 136884.7 2976 0.11119510161714974
"1919" 786605 136884.8 2979 786604 136884.8 2978 0.11119510090982554
"1919" 786608 136885.0 2982 786607 136885.0 2981 0.11119510161714974
"1919" 786616 136885.5 2990 786615 136885.5 2989 0.1275293557985862
"1919" 786618 136885.6 2992 786617 136885.6 2991 0.11119510161714974
"1919" 786621 136885.8 2995 786620 136885.8 2994 0.11119510090982554
"1919" 786623 136885.9 2997 786622 136885.9 2996 0.11119510232447394
"1919" 786629 136886.3 3003 786628 136886.3 3002 0.06244505260741443
"1919" 786634 136886.6 3008 786633 136886.6 3007 0.11119510161714974
"1919" 786636 136886.7 3010 786635 136886.7 3009 0.11119510090982554
"1919" 786639 136886.9 3013 786638 136886.9 3012 0.11119510090982554
"1919" 786641 136887.0 3015 786640 136887.0 3014 0.11119510090982554
"1919" 786647 136887.4 3021 786646 136887.4 3020 0.11119510090982554
"1919" 786649 136887.5 3023 786648 136887.5 3022 0.11119510161714974
"1919" 786652 136887.7 3026 786651 136887.7 3025 0.11119510090982554
"1919" 786654 136887.8 3028 786653 136887.8 3027 0.11119510161714974
"1919" 786665 136888.5 3039 786664 136888.5 3038 0.11119510161714974
"1919" 786667 136888.6 3041 786666 136888.6 3040 0.11119510090982554
"1919" 786670 136888.8 3044 786669 136888.8 3043 0.11119510090982554
equal_shape_distance_same_coordinates WARNING 18810

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 18810 affected records are displayed below.

shapeId (?) The id of the faulty shape. csvRowNumber (?) The row number from `shapes.txt`. shapeDistTraveled (?) Actual distance traveled along the shape from the first shape point to the faulty record. shapePtSequence (?) The faulty record's `shapes.shape_pt_sequence`. prevCsvRowNumber (?) The row number from `shapes.txt` of the previous shape point. prevShapeDistTraveled (?) Actual distance traveled along the shape from the first shape point to the previous shape point. prevShapePtSequence (?) The previous record's `shapes.shape_pt_sequence`.
"54233" 3568822 568.4 11 3568821 568.4 10
"54233" 3568839 1332.9 28 3568838 1332.9 27
"54233" 3568854 2632.1 43 3568853 2632.1 42
"54233" 3568884 4344.1 73 3568883 4344.1 72
"54233" 3568894 4911.0 83 3568893 4911.0 82
"54233" 3568924 6436.5 113 3568923 6436.5 112
"54233" 3568933 7866.2 122 3568932 7866.2 121
"54233" 3568971 14319.8 160 3568970 14319.8 159
"54233" 3568981 14744.6 170 3568980 14744.6 169
"54233" 3569003 15719.1 192 3569002 15719.1 191
"54233" 3569014 15951.6 203 3569013 15951.6 202
"54233" 3569021 16300.0 210 3569020 16300.0 209
"54233" 3569028 16654.4 217 3569027 16654.4 216
"54233" 3569042 16900.6 231 3569041 16900.6 230
"54233" 3569073 17882.6 262 3569072 17882.6 261
"54233" 3569085 18307.8 274 3569084 18307.8 273
"54233" 3569126 22494.3 315 3569125 22494.3 314
"54233" 3569162 25025.7 351 3569161 25025.7 350
"54233" 3569172 26609.0 361 3569171 26609.0 360
"54233" 3569219 27761.7 408 3569218 27761.7 407
"54233" 3569391 38641.3 580 3569390 38641.3 579
"54233" 3569409 44076.7 598 3569408 44076.7 597
"54233" 3569417 45164.8 606 3569416 45164.8 605
"54233" 3569425 45314.5 614 3569424 45314.5 613
"54233" 3569429 45372.3 618 3569428 45372.3 617
"54233" 3569434 45737.6 623 3569433 45737.6 622
"54233" 3569444 46538.2 633 3569443 46538.2 632
"54232" 3560694 568.4 11 3560693 568.4 10
"54232" 3560711 1332.9 28 3560710 1332.9 27
"54232" 3560726 2632.1 43 3560725 2632.1 42
"54232" 3560756 4344.1 73 3560755 4344.1 72
"54232" 3560787 5622.4 104 3560786 5622.4 103
"54232" 3560793 5926.7 110 3560792 5926.7 109
"54232" 3560795 5940.2 112 3560794 5940.2 111
"54232" 3560797 6016.1 114 3560796 6016.1 113
"54232" 3560802 6393.3 119 3560801 6393.3 118
"54232" 3560809 6754.4 126 3560808 6754.4 125
"54232" 3560811 6803.6 128 3560810 6803.6 127
"54232" 3560814 7277.4 131 3560813 7277.4 130
"54232" 3560818 7324.7 135 3560817 7324.7 134
"54232" 3560821 7419.7 138 3560820 7419.7 137
"54232" 3560830 7725.2 147 3560829 7725.2 146
"54232" 3560838 8161.5 155 3560837 8161.5 154
"54232" 3560845 8575.2 162 3560844 8575.2 161
"54232" 3560854 8804.7 171 3560853 8804.7 170
"54232" 3560857 8980.8 174 3560856 8980.8 173
"54232" 3560862 9110.1 179 3560861 9110.1 178
"54232" 3560922 11189.6 239 3560921 11189.6 238
"54232" 3560954 12505.1 271 3560953 12505.1 270
"54232" 3560979 12791.9 296 3560978 12791.9 295
expired_calendar WARNING 66

expired_calendar

Dataset should not contain date ranges for services that have already expired.

This warning takes into account the calendar_dates.txt file as well as the calendar.txt file.

You can see more about this notice here.

Only the first 50 of 66 affected records are displayed below.

csvRowNumber (?) The row of the faulty record. serviceId (?) The service id of the faulty record.
6 "1076"
3304 "73341"
3246 "1256"
3242 "1271"
13272 "1294"
23049 "24601"
2 "1339"
23041 "12709"
9936 "1379"
9 "1461"
23035 "1954"
19779 "20239"
23044 "20237"
23043 "17222"
16594 "17343"
47 "76307"
19815 "76308"
48 "76309"
23045 "13033"
3255 "13105"
16630 "76816"
12 "2009"
14 "2022"
13290 "2066"
9949 "2111"
16585 "2123"
13292 "2137"
13333 "62494"
6551 "2158"
6554 "2175"
6556 "2173"
19764 "2206"
6557 "2205"
13294 "2218"
16583 "2217"
19767 "2216"
16579 "2213"
23034 "2224"
9952 "2285"
13307 "13743"
6561 "2499"
6558 "2685"
13298 "2737"
16586 "2766"
16599 "47502"
19771 "2814"
13302 "2849"
13303 "2852"
16588 "2850"
9951 "2980"
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.
16007 "21_APNV_416-45-3-250526-ab-1310" "17272" 196.9887428340989 3.283145713901648 184922 17 "99227" "Krekenava" "14:03:00" 184923 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.
21040 "2699" "7597170"
21080 "2699" "7597140"
21141 "2699" "7597191"
21146 "2699" "7597133"
21232 "2699" "7597147"
21321 "2699" "7597130"
21343 "2699" "7597181"
21377 "2699" "7597150"
21472 "2699" "7597128"
21496 "2699" "7597186"
23806 "2699" "7597204"
23860 "2699" "7597142"
23890 "2699" "7597207"
23949 "2699" "7597183"
24027 "2699" "7597177"
24087 "2699" "7597202"
24199 "2699" "7597148"
24240 "2699" "7597194"
24251 "2699" "7597131"
24269 "2699" "7597163"
24473 "2699" "7597125"
24507 "2699" "7597193"
24517 "2699" "7597175"
24667 "2699" "7597212"
24709 "2699" "7597136"
24751 "2699" "7597211"
24790 "2699" "7597208"
24861 "2699" "7597210"
24869 "2699" "7597201"
24871 "2699" "7597172"
24948 "2699" "7597129"
24959 "2699" "7597153"
25136 "2699" "7597187"
25180 "2699" "7597156"
25216 "2699" "7597164"
25226 "2699" "7597176"
25245 "2699" "7597137"
25310 "2699" "7597173"
25510 "2699" "7597209"
25549 "2699" "7597189"
25567 "2699" "7597195"
25593 "2699" "7597171"
25800 "2699" "7597021"
25912 "2699" "7597132"
26060 "2699" "7597185"
26099 "2699" "7597198"
26246 "2699" "7597196"
26269 "2699" "7597144"
26287 "2699" "7597145"
26329 "2699" "7597205"
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 403

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 403 affected records are displayed below.

filename (?) Name of the faulty file. fieldName (?) Name of the faulty field. fieldValue (?) Faulty value. csvRowNumber (?) The row number of the faulty record.
"agency.txt" "agency_name" "UŽDAROJI AKCINĖ BENDROVĖ \"EMTRA\"" 53
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-GLOBOS NAMAI-RIMKAI" 25
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 26
"routes.txt" "route_short_name" "3_VLP" 43
"routes.txt" "route_long_name" "ŠVENČIONYS-ŠUTONYS-ŠVENČIONYS" 127
"routes.txt" "route_long_name" "JONAVA-ŽEIMIAI" 228
"routes.txt" "route_short_name" "5_VLP" 250
"routes.txt" "route_long_name" "ŠVENČIONYS-PABRADĖ-VILNIUS-PABRADĖ-ŠVENČIONYS" 303
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS, KANDRĖNUS, LAIČIUS" 316
"routes.txt" "route_long_name" "ŽELVA - PUSNĖ" 328
"routes.txt" "route_short_name" "40-DT" 387
"routes.txt" "route_long_name" "JONAVA - PAGELEŽIAI" 443
"routes.txt" "route_long_name" "JONAVA-PREIŠIOGALĖLĖ-ŽINĖNAI-JONAVA" 456
"routes.txt" "route_short_name" "2_VLP" 457
"routes.txt" "route_short_name" "94AT" 624
"routes.txt" "route_long_name" "JONAVA-KULVA PER JUODMENĄ" 654
"routes.txt" "route_long_name" "RIMKAI-MAXIMA-ŠVEICARIJA" 655
"routes.txt" "route_long_name" "JONAVA-JUŠKONYS" 657
"routes.txt" "route_long_name" "JONAVA-GAIŽIŪNŲ STOTIS" 658
"routes.txt" "route_long_name" "JONAVA-KUIGALIAI PER NAUJASODĮ" 666
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 689
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER KANDRĖNUS, LAIČIUS" 692
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 699
"routes.txt" "route_short_name" "94-DC" 748
"routes.txt" "route_long_name" "JONAVA-KAUNAS" 852
"routes.txt" "route_long_name" "JONAVA-KĖDAINIAI" 854
"routes.txt" "route_long_name" "JONAVA-KULVA" 855
"routes.txt" "route_short_name" "4_VLP" 875
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 954
"routes.txt" "route_short_name" "70AC" 998
"routes.txt" "route_long_name" "JONAVA-RUKLA" 1050
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI" 1051
"routes.txt" "route_short_name" "1A_VLP" 1069
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 1101
"routes.txt" "route_long_name" "KUPIŠKIS - ANTAŠAVA" 1173
"routes.txt" "route_long_name" "ŠIRVINTOS - UKMERGĖ - ŠIRVINTOS" 1221
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-JUODMENA-RIMKAI" 1265
"routes.txt" "route_long_name" "JONAVA-BUKONYS" 1266
"routes.txt" "route_short_name" "2A_VLP" 1279
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI-BUKONYS-ŠILAI-JONAVA" 1284
"routes.txt" "route_long_name" "PASVALYS-ŽILPAMŪŠIS PER TETIRVINUS" 1321
"routes.txt" "route_long_name" "ŠVENČIONYS-ADUTIŠKIS-JAKELIAI-ADUTIŠKIS-ŠVENČIONYS" 1330
"routes.txt" "route_long_name" "KUPIŠKIS – ŠIMONYS PER MIGONIS" 1357
"routes.txt" "route_long_name" "KUPIŠKIS – PANEVĖŽYS" 1368
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS" 1385
"routes.txt" "route_long_name" "ŽELVA - KIAUKLIAI" 1405
"routes.txt" "route_short_name" "50AB" 1439
"routes.txt" "route_long_name" "JONAVA-ŠĖTA" 1478
"routes.txt" "route_long_name" "JONAVA-UPININKAI" 1479
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 1480
stop_too_far_from_shape WARNING 48

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.
25115 "3636" "45756" 2854 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
25410 "3651" "45771" 2883 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
28359 "3653" "45773" 2884 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
25086 "43544" "8124133" 262762 "9340" "Mokykla" [55.512857000000004,26.315831] 134.01174852768767
25586 "43548" "8124139" 262800 "8484" "Mokykla" [55.513561,26.317414] 128.25393944619788
21327 "26974" "7317014" 42383 "14216" "Glaudžiai" [55.90637400000001,21.877556999999996] 1731.1842381583824
21327 "26974" "7317014" 42384 "10163" "Glaudžiai I" [55.90637400000001,21.877556999999996] 935.5388323636666
21327 "26974" "7317014" 42399 "19491" "Plungės autobusų stotis" [55.918779,21.851513000000004] 152.03315218543798
25188 "18654" "3218451" 28189 "67434" "Geluva" [55.249732,23.511073] 140.46827403515317
23813 "32206" "7476584" 53816 "48065" "Troškūnų g." [55.521214350005486,25.097709664383384] 523.8519190658676
23813 "32206" "7476584" 53817 "48066" "Geležinkelio stotis" [55.526276,25.103853] 785.72734673045
23813 "32206" "7476584" 53818 "48068" "Kalno parduotuvė" [55.526598,25.099623999999995] 574.8082135251354
23813 "32206" "7476584" 53821 "48071" "Pušyno mikrorajonas" [55.521132,25.115296] 658.3695095777266
23813 "32206" "7476584" 53826 "48070" "Žiburio g." [55.525912999999996,25.113931000000004] 146.43308427108235
25708 "3899" "46086" 2992 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
24982 "3014" "43694" 2017 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
25883 "29420" "7429613" 48593 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
29342 "4529" "46899" 3928 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
26540 "4527" "47691" 5442 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
28601 "4528" "47692" 5443 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
24441 "14622" "7150732" 41284 "14754" "Naiviai" [55.84397975379556,25.145549112350125] 765.6219655883444
25823 "2821" "45017" 2778 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
26335 "29615" "7432118" 49001 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
21166 "29616" "7432119" 49049 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
17171 "21886" "60_A4-01-6-241028-ba-0730" 516590 "5846" "Grūtas" [54.032271447911626,24.074587772943918] 103.01117636409927
3682 "21885" "60_A2-01-6-060404-ab-1100" 515685 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
17140 "21887" "60_A2-01-7-060404-ab3-1100" 517366 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
10580 "21891" "60_A2-01-1-241209-ab2-1640" 78137 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
15548 "21865" "60_A2-01-7-060404-b3a-0920" 515850 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
4803 "21872" "60_A2-01-6-060404-b2a-1520" 516141 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
24233 "3339" "46943" 3929 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
27873 "4710" "47249" 4660 "4945" "Onuškis" [54.48374200000001,24.591959000000003] 103.16686496628398
25210 "4711" "47251" 4673 "4945" "Onuškis" [54.48374200000001,24.591959000000003] 103.16686496628398
27144 "11705" "747606" 18312 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
26470 "6511" "54507" 10640 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
24760 "6509" "54501" 10586 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
25995 "6513" "54509" 10664 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
24474 "29093" "7413976" 46184 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
28212 "29092" "7413975" 46154 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
21266 "5232" "48165" 5845 "14684" "Lieplaukalė" [55.9354974471734,21.831098374058865] 152.04079667279404
25457 "44681" "8136902" 274679 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
28907 "3514" "45563" 2801 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
28079 "3537" "45591" 2826 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
21246 "17131" "2515700" 25502 "16347" "Sudervė" [54.761036,25.063001999999997] 2603.225038082936
24581 "3574" "45644" 2827 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
28438 "3617" "45754" 2853 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
25168 "15331" "2211799" 22440 "6964" "Mikieriai" [55.66300100000001,25.169295] 153.6142678364674
27099 "15330" "2211797" 22427 "6964" "Mikieriai" [55.66300100000001,25.169295] 153.6142678364674
stops_match_shape_out_of_order WARNING 14

stops_match_shape_out_of_order

Two stop entries are different than their arrival-departure order defined by shapes.txt.

This could indicate a problem with the location of the stops, the path of the shape, or the sequence of the stops for their trip.

You can see more about this notice here.

tripCsvRowNumber (?) The row number of the faulty record from `trips.txt`. shapeId (?) The id of the shape that is referred to. tripId (?) The id of the trip that is referred to. stopTimeCsvRowNumber1 (?) The row number of the first faulty record from `stop_times.txt`. stopId1 (?) The id of the first stop that is referred to. stopName1 (?) The name of the first stop that is referred to. match1 (?) Latitude and longitude pair of the first matching location. stopTimeCsvRowNumber2 (?) The row number of the second faulty record from `stop_times.txt`. stopId2 (?) The id of the second stop that is referred to. stopName2 (?) The name of the second stop that is referred to. match2 (?) Latitude and longitude pair of the second matching location.
29383 "3645" "57657" 14647 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14646 "12152" "Jonaičiai" [55.34641499999999,21.570023]
27668 "3667" "57730" 14786 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14785 "13926" "Jonaičiai" [55.346103,21.568929]
24198 "3714" "57735" 14844 "13926" "Jonaičiai" [55.346103,21.568929] 14843 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
27621 "13808" "1228372" 21096 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 21095 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
26874 "26489" "7231018" 41877 "10486" "Kuršų m-la" [55.853816990580704,22.40675061105697] 41876 "7720" "Baltininkai" [55.85382305337965,22.406770171019815]
27178 "35668" "7652364" 64885 "20855" "Kontariškiai" [56.04984708813942,24.383280063416947] 64884 "20829" "Smegduobių parkas" [56.056377166218944,24.39590345350891]
28462 "28435" "7339430" 43776 "64819" "Suostas" [56.32837413018391,24.713657886432735] 43775 "16112" "Svydžiai" [56.352930797976754,24.686322368913352]
24416 "28434" "7339429" 43752 "10057" "Svydžiai" [56.35334128457164,24.685572701413516] 43751 "64820" "Suostas" [56.32837775901334,24.713656830174433]
25103 "6591" "57635" 14307 "13926" "Jonaičiai" [55.346103,21.568929] 14306 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
27448 "3554" "57639" 14363 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14362 "12152" "Jonaičiai" [55.34641499999999,21.570023]
26334 "29102" "7413991" 46278 "71231" "Žuvintai" [54.448579423202126,23.62330650767253] 46277 "71255" "Litvanciškai" [54.41436513808293,23.67340583550103]
24847 "40377" "8016002" 105204 "72301" "Kirlikai" [55.32834500402225,21.565359093761266] 105203 "97223" "Tarvydai I" [55.328604,21.56423]
25659 "40378" "8016003" 105213 "71683" "Tarvydai II" [55.31814711876975,21.598011981975805] 105212 "97223" "Tarvydai I" [55.328604,21.56423]
25581 "5353" "57622" 14152 "13926" "Jonaičiai" [55.346103,21.568929] 14151 "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