GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2026-02-25T07:07:35+02:00,
for the dataset https://www.visimarsrutai.lt/gtfs/google_transit.zip. No country code was provided.

Use this report alongside our documentation.

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

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

Summary

Agencies included


Feed Info


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

Files included


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

Counts


  • Agencies: 43
  • Blocks: 0
  • Routes: 1386
  • Shapes: 3555
  • Stops: 13208
  • Trips: 21718

Specification Compliance report

119034 notices reported (0 errors, 119001 warnings, 33 infos)

Notice Code Severity Total
duplicate_route_name WARNING 44

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`.
16 "19722" 184 "19729" "M-103" "Kauno pilis-SB\"Lokomotyvas\"-Sitkūnai-Babtai" 3 "14"
17 "19745" 185 "19749" "M-170" "Kaunas-Vilkija-Purviškiai-Čekiškė" 3 "14"
190 "19778" 191 "19753" "M-104" "Kaunas-Ražiškiai-Karkazai-Kreidos g.-Seniava" 3 "14"
202 "18329" 260 "6209" "M1" "Alytus - Geniai" 3 "48"
308 "19783" 309 "19786" "M-151" "Kaunas-Ramučiai" 3 "14"
193 "19763" 374 "19769" "M-161" "Kaunas-Raudondvaris-Netoniai- Kulautuva" 3 "14"
199 "19794" 380 "19789" "M-194" "Kauno pilis-Garliava-Linksmakalnis" 3 "14"
384 "19746" 385 "19750" "M-135" "Kaunas - Rokai - Girininkai" 3 "14"
19 "19767" 548 "19772" "M-101" "Kauno pilis-Giraitė-Užliedžiai" 3 "14"
18 "19776" 549 "19781" "M-189" "Kaunas - Drąseikiai - Batėgala" 3 "14"
23 "19732" 551 "19721" "M-146" "Kaunas-Žiegždriai" 3 "14"
20 "19731" 552 "19728" "M-166" "Kaunas-Raudondvario pl.-Ringaudai-Tabariškiai" 3 "14"
553 "19785" 554 "19787" "M-167" "Kaunas-Raudondvaris-Padauguva-Vilkija" 3 "14"
22 "19788" 557 "19792" "M-149" "Kaunas-Vaišvydava-Gervėnupis" 3 "14"
195 "19726" 559 "19734" "M-168" "Kaunas-Giraitė-Užliedžiai-Babtai-Vosiškiai" 3 "14"
198 "19730" 561 "19727" "M-140" "Kauno pilis-Garliava-Mastaičiai-Kampiškiai" 3 "14"
197 "19802" 562 "19798" "M-166" "Kaunas-Kačerginė-Zapyškis-Šėtijų stotelė" 3 "14"
379 "19779" 563 "19801" "M-181" "Kaunas-Noreikiškės-Ringaudai-Tabariškiai-Gelžkeliuko g." 3 "14"
28 "19780" 565 "19784" "M-168" "Vosiškiai-Babtai" 3 "14"
373 "19738" 722 "19740" "M-106" "Kaunas-Jonučiai-Garliava-Jurginiškiai" 3 "14"
186 "19757" 727 "19755" "M-150" "Kaunas-Ramučiai-Karmėlava-Salupiai-SB\"Inkaras\"" 3 "14"
558 "19773" 729 "19771" "M-163" "Kaunas-Babtai-Labūnava" 3 "14"
725 "19797" 730 "19793" "M-165" "Kaunas-Kačerginė-Zapyškis-Lekėčiai" 3 "14"
564 "19762" 732 "19760" "M-168" "Kaunas-Šilainiai-Giraitė-Užliedžiai" 3 "14"
378 "19741" 733 "19742" "M-197" "Kaunas-Babtai-Panevėžiukas (SB\"Vija\")" 3 "14"
201 "19764" 738 "19775" "M-180A" "Kaunas-Akademija-Bajorai-Girininkų miškas" 3 "14"
115 "19782" 813 "19799" "M-120" "Karmėlava-Ramučiai" 3 "14"
550 "19723" 889 "19743" "M-199" "Kaunas-Voškoniai-Vandžiogala-Labūnava" 3 "14"
377 "19748" 890 "19752" "M-101A" "Kauno pilis-Šilainiai-Giraitė-Užliedžiai" 3 "14"
809 "16052" 934 "6212" "M23" "Alytus - Punia - Butrimonys - Eigirdonys" 3 "48"
888 "19790" 1042 "19725" "M-148" "Kaunas-Domeikava-SB\"Didžiosios Lapės\"" 3 "14"
375 "19733" 1043 "19735" "M-179" "Kaunas-Vaišvydava-Viršužiglis-Arlaviškės" 3 "14"
560 "19751" 1044 "19747" "M-108" "Kaunas-Ireniškiai-Seniava" 3 "14"
376 "19774" 1045 "19737" "M-180" "Kaunas-Ringaudai-Tabariškiai-Girininkai" 3 "14"
728 "19761" 1046 "19766" "M-154" "Čekiškė - Daugėliškiai - Vilkija - Kaunas" 3 "14"
1047 "19758" 1048 "19777" "M-156" "Kaunas - Neveronys" 3 "14"
721 "19736" 1221 "19739" "M-172" "Kaunas-Margininkai-Piliuona-Pakuonis" 3 "14"
192 "19756" 1222 "19768" "M-157" "Kaunas-Kačerginė-Zapyškis-Ežerėlis" 3 "14"
187 "19800" 1223 "19796" "M-153" "Kaunas-Vilkija-Liučiūnai-Čekiškė" 3 "14"
724 "19791" 1224 "19795" "M-198" "Kaunas - Vandžiogala - Boniškiai" 3 "14"
731 "19744" 1225 "19724" "M-159" "Kaunas-Mastaičiai-Pažėrai-SB\"Aronija\"-Smėlio g." 3 "14"
24 "19759" 1226 "19754" "M-151(A)" "Kaunas-Urban HUB-LEZ-Kaunas" 3 "14"
381 "19770" 1227 "19765" "M-120" "Kaunas-Karmėlavos kapinės" 3 "14"
399 "3645" 1236 "8681" "144" "Vilnius (Žalgirio stotelė) – Nemenčinė per Pikeliškes" 3 "53"
equal_shape_distance_diff_coordinates_distance_below_threshold WARNING 4152

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 4152 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" 487422 29882.7 878 487421 29882.7 877 0.12791084993239907
"2328" 395563 35929.8 642 395562 35929.8 641 0.11119510090982554
"3659" 482472 49657.5 1177 482471 49657.5 1176 0.12791084993239907
"42205" 3282786 57850.1 335 3282785 57850.1 334 0.06178544815632574
"2369" 380812 63265.5 1261 380811 63265.5 1260 0.11119510090982554
"2385" 592494 69168.3 1771 592493 69168.3 1770 0.06441976500794575
"28733" 2294453 71509.2 1569 2294452 71509.2 1568 0.06441976500794575
"1919" 753643 136875.8 2842 753642 136875.8 2841 0.12752942403551987
"1919" 753646 136876.0 2845 753645 136876.0 2844 0.11119510090982554
"1919" 753653 136876.5 2852 753652 136876.5 2851 0.11119510232447394
"1919" 753656 136876.7 2855 753655 136876.7 2854 0.11119510161714974
"1919" 753659 136876.9 2858 753658 136876.9 2857 0.12752941555597483
"1919" 753668 136877.5 2867 753667 136877.5 2866 0.11119510090982554
"1919" 753671 136877.7 2870 753670 136877.7 2869 0.11119510161714974
"1919" 753674 136877.9 2873 753673 136877.9 2872 0.11119510090982554
"1919" 753681 136878.4 2880 753680 136878.4 2879 0.11119510090982554
"1919" 753684 136878.6 2883 753683 136878.6 2882 0.11119510161714974
"1919" 753693 136879.2 2892 753692 136879.2 2891 0.11119510090982554
"1919" 753696 136879.4 2895 753695 136879.4 2894 0.12752939825777979
"1919" 753699 136879.6 2898 753698 136879.6 2897 0.11119510161714974
"1919" 753708 136880.2 2907 753707 136880.2 2906 0.11119510161714974
"1919" 753712 136880.5 2911 753711 136880.5 2910 0.06244513630731429
"1919" 753718 136880.9 2917 753717 136880.9 2916 0.11119510161714974
"1919" 753721 136881.1 2920 753720 136881.1 2919 0.11119510090982554
"1919" 753724 136881.3 2923 753723 136881.3 2922 0.11119510090982554
"1919" 753733 136881.9 2932 753732 136881.9 2931 0.12752938095958766
"1919" 753736 136882.1 2935 753735 136882.1 2934 0.11119510161714974
"1919" 753747 136882.8 2946 753746 136882.8 2945 0.11119510161714974
"1919" 753752 136883.1 2951 753751 136883.1 2950 0.11119510161714974
"1919" 753760 136883.6 2959 753759 136883.6 2958 0.11119510090982554
"1919" 753765 136883.9 2964 753764 136883.9 2963 0.11119510090982554
"1919" 753778 136884.7 2977 753777 136884.7 2976 0.11119510161714974
"1919" 753780 136884.8 2979 753779 136884.8 2978 0.11119510090982554
"1919" 753783 136885.0 2982 753782 136885.0 2981 0.11119510161714974
"1919" 753791 136885.5 2990 753790 136885.5 2989 0.1275293557985862
"1919" 753793 136885.6 2992 753792 136885.6 2991 0.11119510161714974
"1919" 753796 136885.8 2995 753795 136885.8 2994 0.11119510090982554
"1919" 753798 136885.9 2997 753797 136885.9 2996 0.11119510232447394
"1919" 753804 136886.3 3003 753803 136886.3 3002 0.06244505260741443
"1919" 753809 136886.6 3008 753808 136886.6 3007 0.11119510161714974
"1919" 753811 136886.7 3010 753810 136886.7 3009 0.11119510090982554
"1919" 753814 136886.9 3013 753813 136886.9 3012 0.11119510090982554
"1919" 753816 136887.0 3015 753815 136887.0 3014 0.11119510090982554
"1919" 753822 136887.4 3021 753821 136887.4 3020 0.11119510090982554
"1919" 753824 136887.5 3023 753823 136887.5 3022 0.11119510161714974
"1919" 753827 136887.7 3026 753826 136887.7 3025 0.11119510090982554
"1919" 753829 136887.8 3028 753828 136887.8 3027 0.11119510161714974
"1919" 753840 136888.5 3039 753839 136888.5 3038 0.11119510161714974
"1919" 753842 136888.6 3041 753841 136888.6 3040 0.11119510090982554
"1919" 753845 136888.8 3044 753844 136888.8 3043 0.11119510090982554
equal_shape_distance_same_coordinates WARNING 14209

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 14209 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" 3049858 350.5 28 3049857 350.5 27
"43541" 3049869 811.7 39 3049868 811.7 38
"43541" 3049908 1779.8 78 3049907 1779.8 77
"43541" 3049952 3184.3 122 3049951 3184.3 121
"43541" 3049985 4418.1 155 3049984 4418.1 154
"43541" 3050001 4854.6 171 3050000 4854.6 170
"43541" 3050050 6561.9 220 3050049 6561.9 219
"43541" 3050086 7544.1 256 3050085 7544.1 255
"43541" 3050125 8757.6 295 3050124 8757.6 294
"43541" 3050142 9358.6 312 3050141 9358.6 311
"43541" 3050169 9709.1 339 3050168 9709.1 338
"43541" 3050215 10376.7 385 3050214 10376.7 384
"43541" 3050268 11116.1 438 3050267 11116.1 437
"43541" 3050299 11700.4 469 3050298 11700.4 468
"43541" 3050330 12284.8 500 3050329 12284.8 499
"43541" 3050591 14358.7 761 3050590 14358.7 760
"43541" 3050667 14706.8 837 3050666 14706.8 836
"43541" 3050767 15301.6 937 3050766 15301.6 936
"43541" 3050867 15896.4 1037 3050866 15896.4 1036
"43541" 3050943 16244.5 1113 3050942 16244.5 1112
"43541" 3051141 17133.2 1311 3051140 17133.2 1310
"43541" 3051384 18161.9 1554 3051383 18161.9 1553
"43541" 3051409 18472.3 1579 3051408 18472.3 1578
"43541" 3051459 18976.3 1629 3051458 18976.3 1628
"43541" 3051606 19673.4 1776 3051605 19673.4 1775
"43541" 3051835 21285.9 2005 3051834 21285.9 2004
"43541" 3051911 22756.6 2081 3051910 22756.6 2080
"43541" 3051987 24227.3 2157 3051986 24227.3 2156
"43541" 3052026 24719.6 2196 3052025 24719.6 2195
"43541" 3052043 25292.2 2213 3052042 25292.2 2212
"43541" 3052062 25625.9 2232 3052061 25625.9 2231
"43541" 3052150 26736.7 2320 3052149 26736.7 2319
"43541" 3052237 27236.5 2407 3052236 27236.5 2406
"43541" 3052286 28436.1 2456 3052285 28436.1 2455
"43541" 3052325 28928.5 2495 3052324 28928.5 2494
"43541" 3052376 29639.4 2546 3052375 29639.4 2545
"43541" 3052607 30811.2 2777 3052606 30811.2 2776
"43541" 3052683 31159.3 2853 3052682 31159.3 2852
"43541" 3052783 31754.1 2953 3052782 31754.1 2952
"43541" 3052883 32348.9 3053 3052882 32348.9 3052
"43541" 3052959 32697.0 3129 3052958 32697.0 3128
"43541" 3053157 33585.6 3327 3053156 33585.6 3326
"43541" 3053441 35228.5 3611 3053440 35228.5 3610
"43541" 3053494 35967.9 3664 3053493 35967.9 3663
"43541" 3053525 36552.2 3695 3053524 36552.2 3694
"43541" 3053556 37136.6 3726 3053555 37136.6 3725
"42206" 3282957 20641.7 108 3282956 20641.7 107
"42206" 3282980 24205.9 131 3282979 24205.9 130
"43537" 3297154 310.3 26 3297153 310.3 25
"43537" 3297167 811.7 39 3297166 811.7 38
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"
9857 "13743"
2459 "73341"
4848 "2499"
2407 "1256"
2403 "1271"
9822 "1294"
17117 "24602"
10803 "59299"
2 "1339"
4845 "2685"
17114 "12709"
7348 "1379"
9848 "2737"
12297 "2766"
8 "1461"
12309 "47502"
14679 "2814"
15692 "59411"
9852 "2849"
9853 "2852"
12299 "2850"
7363 "2980"
12298 "2975"
4846 "2974"
14678 "2972"
9866 "47985"
17108 "1954"
19339 "58772"
14687 "20239"
17118 "20237"
17116 "17222"
14685 "31530"
12305 "17343"
23 "43774"
17103 "678"
9821 "973"
56 "76307"
14729 "76308"
57 "76309"
17111 "3000"
4847 "3012"
17119 "13033"
2414 "13105"
12358 "76816"
11 "2009"
13 "2022"
12314 "48071"
25 "48073"
9840 "2066"
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.
264 "21_APNV_416-45-3-250526-ab-1310" "17272" 196.9887428340989 3.283145713901648 202265 17 "99227" "Krekenava" "14:03:00" 202266 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.
3602 "2699" "7597166"
3646 "2699" "7597177"
3678 "2699" "7597196"
3699 "2699" "7597144"
3786 "2699" "7597202"
3930 "2699" "7597125"
4002 "2699" "7597210"
4064 "2699" "7597155"
4090 "2699" "7597201"
4092 "2699" "7597172"
4134 "2699" "7597164"
4141 "2699" "7597176"
4157 "2699" "7597137"
4189 "2699" "7597146"
4302 "2699" "7597170"
4338 "2699" "7597140"
4472 "2699" "7597191"
4476 "2699" "7597133"
4624 "2699" "7597147"
4703 "2699" "7597130"
4724 "2699" "7597188"
4727 "2699" "7597203"
4733 "2699" "7597157"
4806 "2699" "7597181"
4835 "2699" "7597150"
4937 "2699" "7597127"
5003 "2699" "7597128"
5020 "2699" "7597186"
17760 "2699" "7597192"
17826 "2699" "7597167"
17829 "2699" "7597134"
17987 "2699" "7597162"
18063 "2699" "7597206"
18069 "2699" "7597143"
18076 "2699" "7597190"
18111 "2699" "7597204"
18292 "2699" "7597154"
18347 "2699" "7597142"
18370 "2699" "7597207"
18405 "2699" "7597021"
18491 "2699" "7597136"
18566 "2699" "7597178"
18653 "2699" "7597198"
18705 "2699" "7597211"
18736 "2699" "7597208"
18773 "2699" "7597187"
18851 "2699" "7597149"
18906 "2699" "7597184"
18963 "2699" "7597189"
18978 "2699" "7597195"
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 342

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 342 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\"" 43
"routes.txt" "route_long_name" "ŠVENČIONYS-ŠUTONYS-ŠVENČIONYS" 96
"routes.txt" "route_short_name" "3_VLP" 127
"routes.txt" "route_long_name" "ŠVENČIONYS-PABRADĖ-VILNIUS-PABRADĖ-ŠVENČIONYS" 203
"routes.txt" "route_short_name" "5_VLP" 322
"routes.txt" "route_long_name" "ŽELVA - PUSNĖ" 340
"routes.txt" "route_short_name" "40-DT" 354
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS, KANDRĖNUS, LAIČIUS" 356
"routes.txt" "route_short_name" "2_VLP" 479
"routes.txt" "route_short_name" "94AT" 488
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 591
"routes.txt" "route_short_name" "94-DC" 596
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER KANDRĖNUS, LAIČIUS" 597
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 629
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 771
"routes.txt" "route_short_name" "70AC" 773
"routes.txt" "route_short_name" "4_VLP" 820
"routes.txt" "route_long_name" "ŠIRVINTOS - UKMERGĖ - ŠIRVINTOS" 915
"routes.txt" "route_long_name" "KUPIŠKIS - ANTAŠAVA" 931
"routes.txt" "route_short_name" "1A_VLP" 997
"routes.txt" "route_long_name" "KUPIŠKIS – PANEVĖŽYS" 1054
"routes.txt" "route_long_name" "ŠVENČIONYS-ADUTIŠKIS-JAKELIAI-ADUTIŠKIS-ŠVENČIONYS" 1067
"routes.txt" "route_long_name" "KUPIŠKIS – ŠIMONYS PER MIGONIS" 1107
"routes.txt" "route_long_name" "ŽELVA - KIAUKLIAI" 1112
"routes.txt" "route_short_name" "50AB" 1128
"routes.txt" "route_short_name" "2A_VLP" 1147
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS" 1171
"routes.txt" "route_long_name" "KUPIŠKIS – VAINIŪNIŠKIS (PER PALĖVENĖLĘ) – KUPIŠKIS" 1261
"routes.txt" "route_long_name" "KUPIŠKIS – ALIZAVA PER PALĖVENĖLĘ – KUPIŠKIS" 1295
"routes.txt" "route_long_name" "KUPIŠKIS – SUBAČIAUS MST. PER LUKONIS" 1299
"routes.txt" "route_short_name" "1_VLP" 1337
"routes.txt" "route_long_name" "KUPIŠKIS – LAIČIAI PER KANDRĖNUS, SKAPIŠKIO MSTL." 1367
"stops.txt" "stop_name" "140 km" 195
"stops.txt" "stop_name" "7-asis km." 279
"stops.txt" "stop_name" "VDU klasikinio ugdymo licėjus B" 792
"stops.txt" "stop_name" "4-asis fortas B" 826
"stops.txt" "stop_name" "VDU klasikinio ugdymo licėjus A" 871
"stops.txt" "stop_name" "7-asis kilometras A" 948
"stops.txt" "stop_name" "9-ojo forto muziejus" 1668
"stops.txt" "stop_name" "2-ieji sodininkai" 1984
"stops.txt" "stop_name" "KTU inžinerijos licėjus B" 2434
"stops.txt" "stop_name" "HARJU ELEKTER UAB" 2657
"stops.txt" "stop_name" "9 kilometras" 2870
"stops.txt" "stop_name" "9 kilometras" 2871
"stops.txt" "stop_name" "40 km" 2917
"stops.txt" "stop_name" "žieda" 2959
"stops.txt" "stop_name" "16-sis kilometras" 3012
"stops.txt" "stop_name" "2-asis fortas" 3463
"stops.txt" "stop_name" "2-ieji sodininkai" 3668
"stops.txt" "stop_name" "III km." 4286
stop_too_far_from_shape WARNING 56

stop_too_far_from_shape

Stop too far from trip shape.

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

You can see more about this notice here.

Only the first 50 of 56 affected records are displayed below.

tripCsvRowNumber (?) The row number of the faulty record from `trips.txt`. shapeId (?) The id of the shape that is referred to. tripId (?) The id of the trip that is referred to. stopTimeCsvRowNumber (?) The row number of the faulty record from `stop_times.txt`. stopId (?) The id of the stop that is referred to. stopName (?) The name of the stop that is referred to. match (?) Latitude and longitude pair of the location. geoDistanceToShape (?) Distance from stop to shape.
18757 "3636" "45756" 2925 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
17900 "3651" "45771" 2954 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
18058 "3653" "45773" 2955 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
17883 "43544" "8124133" 330459 "9340" "Mokykla" [55.512857000000004,26.315831] 134.01174852768767
18994 "43548" "8124139" 330497 "8484" "Mokykla" [55.513561,26.317414] 128.25393944619788
3710 "26974" "7317018" 33572 "14216" "Glaudžiai" [55.90637400000001,21.877556999999996] 1731.1842381583824
3710 "26974" "7317018" 33573 "10163" "Glaudžiai I" [55.90637400000001,21.877556999999996] 935.5388323636666
3710 "26974" "7317018" 33588 "19491" "Plungės autobusų stotis" [55.918779,21.851513000000004] 152.03315218543798
4424 "29329" "7418310" 40643 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
19172 "29328" "7418309" 40620 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
18007 "16822" "2392138" 20501 "8988" "Miškų urėdija" [56.223549,23.648672] 192.32046673726916
3952 "16821" "2392135" 20471 "8988" "Miškų urėdija" [56.223549,23.648672] 192.32046673726916
17993 "16823" "2392141" 20556 "15916" "Miškų urėdija" [56.223436,23.64902] 114.43864929834778
19614 "18654" "3218451" 23326 "67434" "Geluva" [55.249732,23.511073] 140.46827403515317
4047 "32206" "7476585" 46595 "48065" "Troškūnų g." [55.521214350005486,25.097709664383384] 523.8519190658676
4047 "32206" "7476585" 46596 "48066" "Geležinkelio stotis" [55.526276,25.103853] 785.72734673045
4047 "32206" "7476585" 46597 "48068" "Kalno parduotuvė" [55.526598,25.099623999999995] 574.8082135251354
4047 "32206" "7476585" 46600 "48071" "Pušyno mikrorajonas" [55.521132,25.115296] 658.3695095777266
4047 "32206" "7476585" 46605 "48070" "Žiburio g." [55.525912999999996,25.113931000000004] 146.43308427108235
19905 "3899" "46086" 3063 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
19691 "3014" "43694" 2088 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
5272 "37872" "61_49W" 67994 "91654" "Kūlokai" [54.450829999999996,23.395002] 3378.2526672161835
19032 "29420" "7429613" 41180 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
18084 "4529" "46899" 3886 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
3749 "4527" "47691" 5075 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
20424 "4528" "47692" 5076 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
3820 "14622" "7150732" 32510 "14754" "Naiviai" [55.84397975379556,25.145549112350125] 765.6219655883444
18424 "2821" "45017" 2849 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
20384 "29615" "7432118" 41690 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
4492 "29616" "7432119" 41738 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
5415 "21886" "60_A2-02-1-241209-ba-1520" 62170 "5846" "Grūtas" [54.032271447911626,24.074587772943918] 103.01117636409927
1761 "21885" "60_A2-02-1-241209-ab-1440" 63796 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
3514 "21887" "60_A2-01-7-251110-ab3-1430" 331721 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
2043 "21891" "60_A2-01-6-251110-ab2-0740" 333783 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
2168 "21865" "60_A2-01-7-251110-b3a-0920" 331518 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
2042 "21872" "60_A30-01-7-251110-b2a-1720" 332290 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
21272 "3339" "46943" 3887 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
19763 "11705" "747606" 14505 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
18558 "6511" "54508" 8266 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
18711 "6509" "54501" 8200 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
20185 "6513" "54509" 8278 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
3932 "29093" "7413976" 38482 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
20261 "29092" "7413975" 38452 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
4653 "5232" "48165" 5322 "14684" "Lieplaukalė" [55.9354974471734,21.831098374058865] 152.04079667279404
4923 "27242" "7324111" 35143 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
4715 "27240" "7322650" 34775 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
18538 "27239" "7322649" 34767 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
18327 "27236" "7322645" 34750 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
4795 "27237" "7322647" 34758 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
17761 "3514" "45563" 2872 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
stops_match_shape_out_of_order WARNING 12

stops_match_shape_out_of_order

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

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

You can see more about this notice here.

tripCsvRowNumber (?) The row number of the faulty record from `trips.txt`. shapeId (?) The id of the shape that is referred to. tripId (?) The id of the trip that is referred to. stopTimeCsvRowNumber1 (?) The row number of the first faulty record from `stop_times.txt`. stopId1 (?) The id of the first stop that is referred to. stopName1 (?) The name of the first stop that is referred to. match1 (?) Latitude and longitude pair of the first matching location. stopTimeCsvRowNumber2 (?) The row number of the second faulty record from `stop_times.txt`. stopId2 (?) The id of the second stop that is referred to. stopName2 (?) The name of the second stop that is referred to. match2 (?) Latitude and longitude pair of the second matching location.
20824 "3645" "57657" 10479 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 10478 "12152" "Jonaičiai" [55.34641499999999,21.570023]
21181 "3667" "57730" 10618 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 10617 "13926" "Jonaičiai" [55.346103,21.568929]
4010 "3714" "57736" 10692 "13926" "Jonaičiai" [55.346103,21.568929] 10691 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
21608 "13808" "1228372" 16619 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 16618 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
21429 "28435" "7339430" 36046 "64819" "Suostas" [56.32837413018391,24.713657886432735] 36045 "16112" "Svydžiai" [56.352930797976754,24.686322368913352]
3800 "28434" "7339429" 36022 "10057" "Svydžiai" [56.35334128457164,24.685572701413516] 36021 "64820" "Suostas" [56.32837775901334,24.713656830174433]
3916 "6591" "57636" 10155 "13926" "Jonaičiai" [55.346103,21.568929] 10154 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
19954 "3554" "57639" 10195 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 10194 "12152" "Jonaičiai" [55.34641499999999,21.570023]
20383 "29102" "7413991" 38576 "71231" "Žuvintai" [54.448579423202126,23.62330650767253] 38575 "71255" "Litvanciškai" [54.41436513808293,23.67340583550103]
3992 "40377" "8016002" 90594 "72301" "Kirlikai" [55.32834500402225,21.565359093761266] 90593 "97223" "Tarvydai I" [55.328604,21.56423]
19912 "40378" "8016003" 90603 "71683" "Tarvydai II" [55.31814711876975,21.598011981975805] 90602 "97223" "Tarvydai I" [55.328604,21.56423]
3593 "5353" "57623" 10001 "13926" "Jonaičiai" [55.346103,21.568929] 10000 "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