GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2026-02-26T07:43:27+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: 3567
  • Stops: 13206
  • Trips: 21821

Specification Compliance report

119377 notices reported (0 errors, 119344 warnings, 33 infos)

Notice Code Severity Total
duplicate_route_name WARNING 45

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`.
22 "19722" 193 "19729" "M-103" "Kauno pilis-SB\"Lokomotyvas\"-Sitkūnai-Babtai" 3 "14"
218 "19786" 219 "19783" "M-151" "Kaunas-Ramučiai" 3 "14"
216 "19753" 222 "19778" "M-104" "Kaunas-Ražiškiai-Karkazai-Kreidos g.-Seniava" 3 "14"
46 "19745" 223 "19749" "M-170" "Kaunas-Vilkija-Purviškiai-Čekiškė" 3 "14"
225 "18329" 306 "6209" "M1" "Alytus - Geniai" 3 "48"
194 "19763" 382 "19769" "M-161" "Kaunas-Raudondvaris-Netoniai- Kulautuva" 3 "14"
388 "19746" 389 "19750" "M-135" "Kaunas - Rokai - Girininkai" 3 "14"
217 "19794" 390 "19789" "M-194" "Kauno pilis-Garliava-Linksmakalnis" 3 "14"
24 "19767" 549 "19772" "M-101" "Kauno pilis-Giraitė-Užliedžiai" 3 "14"
192 "19726" 550 "19734" "M-168" "Kaunas-Giraitė-Užliedžiai-Babtai-Vosiškiai" 3 "14"
23 "19732" 567 "19721" "M-146" "Kaunas-Žiegždriai" 3 "14"
212 "19730" 568 "19727" "M-140" "Kauno pilis-Garliava-Mastaičiai-Kampiškiai" 3 "14"
40 "19731" 569 "19728" "M-166" "Kaunas-Raudondvario pl.-Ringaudai-Tabariškiai" 3 "14"
42 "19788" 573 "19792" "M-149" "Kaunas-Vaišvydava-Gervėnupis" 3 "14"
564 "19787" 576 "19785" "M-167" "Kaunas-Raudondvaris-Padauguva-Vilkija" 3 "14"
215 "19802" 577 "19798" "M-166" "Kaunas-Kačerginė-Zapyškis-Šėtijų stotelė" 3 "14"
44 "19780" 578 "19784" "M-168" "Vosiškiai-Babtai" 3 "14"
43 "19776" 579 "19781" "M-189" "Kaunas - Drąseikiai - Batėgala" 3 "14"
391 "19779" 580 "19801" "M-181" "Kaunas-Noreikiškės-Ringaudai-Tabariškiai-Gelžkeliuko g." 3 "14"
383 "19738" 734 "19740" "M-106" "Kaunas-Jonučiai-Garliava-Jurginiškiai" 3 "14"
581 "19762" 735 "19760" "M-168" "Kaunas-Šilainiai-Giraitė-Užliedžiai" 3 "14"
209 "19757" 736 "19755" "M-150" "Kaunas-Ramučiai-Karmėlava-Salupiai-SB\"Inkaras\"" 3 "14"
563 "19773" 739 "19771" "M-163" "Kaunas-Babtai-Labūnava" 3 "14"
387 "19741" 741 "19742" "M-197" "Kaunas-Babtai-Panevėžiukas (SB\"Vija\")" 3 "14"
746 "19793" 747 "19797" "M-165" "Kaunas-Kačerginė-Zapyškis-Lekėčiai" 3 "14"
220 "19764" 749 "19775" "M-180A" "Kaunas-Akademija-Bajorai-Girininkų miškas" 3 "14"
47 "19782" 750 "19799" "M-120" "Karmėlava-Ramučiai" 3 "14"
372 "19748" 882 "19752" "M-101A" "Kauno pilis-Šilainiai-Giraitė-Užliedžiai" 3 "14"
551 "19723" 883 "19743" "M-199" "Kaunas-Voškoniai-Vandžiogala-Labūnava" 3 "14"
190 "19814" 884 "19815" "M-152" "Kauno g.-Poliklinika-Birštono seniūnija" 3 "58"
743 "16052" 945 "6212" "M23" "Alytus - Punia - Butrimonys - Eigirdonys" 3 "48"
373 "19733" 1051 "19735" "M-179" "Kaunas-Vaišvydava-Viršužiglis-Arlaviškės" 3 "14"
881 "19790" 1052 "19725" "M-148" "Kaunas-Domeikava-SB\"Didžiosios Lapės\"" 3 "14"
1053 "19758" 1054 "19777" "M-156" "Kaunas - Neveronys" 3 "14"
738 "19761" 1061 "19766" "M-154" "Čekiškė - Daugėliškiai - Vilkija - Kaunas" 3 "14"
562 "19751" 1062 "19747" "M-108" "Kaunas-Ireniškiai-Seniava" 3 "14"
384 "19774" 1064 "19737" "M-180" "Kaunas-Ringaudai-Tabariškiai-Girininkai" 3 "14"
191 "19756" 1229 "19768" "M-157" "Kaunas-Kačerginė-Zapyškis-Ežerėlis" 3 "14"
717 "19744" 1230 "19724" "M-159" "Kaunas-Mastaičiai-Pažėrai-SB\"Aronija\"-Smėlio g." 3 "14"
718 "19736" 1231 "19739" "M-172" "Kaunas-Margininkai-Piliuona-Pakuonis" 3 "14"
744 "19791" 1232 "19795" "M-198" "Kaunas - Vandžiogala - Boniškiai" 3 "14"
195 "19800" 1233 "19796" "M-153" "Kaunas-Vilkija-Liučiūnai-Čekiškė" 3 "14"
374 "19770" 1234 "19765" "M-120" "Kaunas-Karmėlavos kapinės" 3 "14"
45 "19759" 1249 "19754" "M-151(A)" "Kaunas-Urban HUB-LEZ-Kaunas" 3 "14"
399 "3645" 1262 "8681" "144" "Vilnius (Žalgirio stotelė) – Nemenčinė per Pikeliškes" 3 "53"
equal_shape_distance_diff_coordinates_distance_below_threshold WARNING 4151

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 4151 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" 485682 29882.7 878 485681 29882.7 877 0.12791084993239907
"2328" 393823 35929.8 642 393822 35929.8 641 0.11119510090982554
"3659" 480732 49657.5 1177 480731 49657.5 1176 0.12791084993239907
"42205" 3276070 57850.1 335 3276069 57850.1 334 0.06178544815632574
"2369" 379072 63265.5 1261 379071 63265.5 1260 0.11119510090982554
"2385" 590754 69168.3 1771 590753 69168.3 1770 0.06441976500794575
"28733" 2285978 71509.2 1569 2285977 71509.2 1568 0.06441976500794575
"1919" 751903 136875.8 2842 751902 136875.8 2841 0.12752942403551987
"1919" 751906 136876.0 2845 751905 136876.0 2844 0.11119510090982554
"1919" 751913 136876.5 2852 751912 136876.5 2851 0.11119510232447394
"1919" 751916 136876.7 2855 751915 136876.7 2854 0.11119510161714974
"1919" 751919 136876.9 2858 751918 136876.9 2857 0.12752941555597483
"1919" 751928 136877.5 2867 751927 136877.5 2866 0.11119510090982554
"1919" 751931 136877.7 2870 751930 136877.7 2869 0.11119510161714974
"1919" 751934 136877.9 2873 751933 136877.9 2872 0.11119510090982554
"1919" 751941 136878.4 2880 751940 136878.4 2879 0.11119510090982554
"1919" 751944 136878.6 2883 751943 136878.6 2882 0.11119510161714974
"1919" 751953 136879.2 2892 751952 136879.2 2891 0.11119510090982554
"1919" 751956 136879.4 2895 751955 136879.4 2894 0.12752939825777979
"1919" 751959 136879.6 2898 751958 136879.6 2897 0.11119510161714974
"1919" 751968 136880.2 2907 751967 136880.2 2906 0.11119510161714974
"1919" 751972 136880.5 2911 751971 136880.5 2910 0.06244513630731429
"1919" 751978 136880.9 2917 751977 136880.9 2916 0.11119510161714974
"1919" 751981 136881.1 2920 751980 136881.1 2919 0.11119510090982554
"1919" 751984 136881.3 2923 751983 136881.3 2922 0.11119510090982554
"1919" 751993 136881.9 2932 751992 136881.9 2931 0.12752938095958766
"1919" 751996 136882.1 2935 751995 136882.1 2934 0.11119510161714974
"1919" 752007 136882.8 2946 752006 136882.8 2945 0.11119510161714974
"1919" 752012 136883.1 2951 752011 136883.1 2950 0.11119510161714974
"1919" 752020 136883.6 2959 752019 136883.6 2958 0.11119510090982554
"1919" 752025 136883.9 2964 752024 136883.9 2963 0.11119510090982554
"1919" 752038 136884.7 2977 752037 136884.7 2976 0.11119510161714974
"1919" 752040 136884.8 2979 752039 136884.8 2978 0.11119510090982554
"1919" 752043 136885.0 2982 752042 136885.0 2981 0.11119510161714974
"1919" 752051 136885.5 2990 752050 136885.5 2989 0.1275293557985862
"1919" 752053 136885.6 2992 752052 136885.6 2991 0.11119510161714974
"1919" 752056 136885.8 2995 752055 136885.8 2994 0.11119510090982554
"1919" 752058 136885.9 2997 752057 136885.9 2996 0.11119510232447394
"1919" 752064 136886.3 3003 752063 136886.3 3002 0.06244505260741443
"1919" 752069 136886.6 3008 752068 136886.6 3007 0.11119510161714974
"1919" 752071 136886.7 3010 752070 136886.7 3009 0.11119510090982554
"1919" 752074 136886.9 3013 752073 136886.9 3012 0.11119510090982554
"1919" 752076 136887.0 3015 752075 136887.0 3014 0.11119510090982554
"1919" 752082 136887.4 3021 752081 136887.4 3020 0.11119510090982554
"1919" 752084 136887.5 3023 752083 136887.5 3022 0.11119510161714974
"1919" 752087 136887.7 3026 752086 136887.7 3025 0.11119510090982554
"1919" 752089 136887.8 3028 752088 136887.8 3027 0.11119510161714974
"1919" 752100 136888.5 3039 752099 136888.5 3038 0.11119510161714974
"1919" 752102 136888.6 3041 752101 136888.6 3040 0.11119510090982554
"1919" 752105 136888.8 3044 752104 136888.8 3043 0.11119510090982554
equal_shape_distance_same_coordinates WARNING 14550

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 14550 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" 3043142 350.5 28 3043141 350.5 27
"43541" 3043153 811.7 39 3043152 811.7 38
"43541" 3043192 1779.8 78 3043191 1779.8 77
"43541" 3043236 3184.3 122 3043235 3184.3 121
"43541" 3043269 4418.1 155 3043268 4418.1 154
"43541" 3043285 4854.6 171 3043284 4854.6 170
"43541" 3043334 6561.9 220 3043333 6561.9 219
"43541" 3043370 7544.1 256 3043369 7544.1 255
"43541" 3043409 8757.6 295 3043408 8757.6 294
"43541" 3043426 9358.6 312 3043425 9358.6 311
"43541" 3043453 9709.1 339 3043452 9709.1 338
"43541" 3043499 10376.7 385 3043498 10376.7 384
"43541" 3043552 11116.1 438 3043551 11116.1 437
"43541" 3043583 11700.4 469 3043582 11700.4 468
"43541" 3043614 12284.8 500 3043613 12284.8 499
"43541" 3043875 14358.7 761 3043874 14358.7 760
"43541" 3043951 14706.8 837 3043950 14706.8 836
"43541" 3044051 15301.6 937 3044050 15301.6 936
"43541" 3044151 15896.4 1037 3044150 15896.4 1036
"43541" 3044227 16244.5 1113 3044226 16244.5 1112
"43541" 3044425 17133.2 1311 3044424 17133.2 1310
"43541" 3044668 18161.9 1554 3044667 18161.9 1553
"43541" 3044693 18472.3 1579 3044692 18472.3 1578
"43541" 3044743 18976.3 1629 3044742 18976.3 1628
"43541" 3044890 19673.4 1776 3044889 19673.4 1775
"43541" 3045119 21285.9 2005 3045118 21285.9 2004
"43541" 3045195 22756.6 2081 3045194 22756.6 2080
"43541" 3045271 24227.3 2157 3045270 24227.3 2156
"43541" 3045310 24719.6 2196 3045309 24719.6 2195
"43541" 3045327 25292.2 2213 3045326 25292.2 2212
"43541" 3045346 25625.9 2232 3045345 25625.9 2231
"43541" 3045434 26736.7 2320 3045433 26736.7 2319
"43541" 3045521 27236.5 2407 3045520 27236.5 2406
"43541" 3045570 28436.1 2456 3045569 28436.1 2455
"43541" 3045609 28928.5 2495 3045608 28928.5 2494
"43541" 3045660 29639.4 2546 3045659 29639.4 2545
"43541" 3045891 30811.2 2777 3045890 30811.2 2776
"43541" 3045967 31159.3 2853 3045966 31159.3 2852
"43541" 3046067 31754.1 2953 3046066 31754.1 2952
"43541" 3046167 32348.9 3053 3046166 32348.9 3052
"43541" 3046243 32697.0 3129 3046242 32697.0 3128
"43541" 3046441 33585.6 3327 3046440 33585.6 3326
"43541" 3046725 35228.5 3611 3046724 35228.5 3610
"43541" 3046778 35967.9 3664 3046777 35967.9 3663
"43541" 3046809 36552.2 3695 3046808 36552.2 3694
"43541" 3046840 37136.6 3726 3046839 37136.6 3725
"42206" 3276241 20641.7 108 3276240 20641.7 107
"42206" 3276264 24205.9 131 3276263 24205.9 130
"43537" 3290438 310.3 26 3290437 310.3 25
"43537" 3290451 811.7 39 3290450 811.7 38
expired_calendar WARNING 68

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 68 affected records are displayed below.

csvRowNumber (?) The row of the faulty record. serviceId (?) The service id of the faulty record.
6 "1076"
10080 "13743"
2514 "73341"
4964 "2499"
2462 "1256"
2458 "1271"
10045 "1294"
17519 "24602"
11053 "59299"
2 "1339"
4961 "2685"
17516 "12709"
7525 "1379"
10071 "2737"
12585 "2766"
8 "1461"
12597 "47502"
15023 "2814"
16057 "59411"
10075 "2849"
10076 "2852"
12587 "2850"
12803 "85895"
7540 "2980"
12586 "2975"
4962 "2974"
15022 "2972"
10089 "47985"
17510 "1954"
19790 "58772"
15031 "20239"
17520 "20237"
17518 "17222"
15029 "31530"
12593 "17343"
23 "43774"
17635 "43770"
17505 "678"
10044 "973"
56 "76307"
15073 "76308"
57 "76309"
17513 "3000"
4963 "3012"
17521 "13033"
2469 "13105"
12646 "76816"
11 "2009"
13 "2022"
12602 "48071"
fast_travel_between_consecutive_stops WARNING 1

fast_travel_between_consecutive_stops

A transit vehicle moves too fast between two consecutive stops.

The speed threshold depends on route type:

Route type Description Threshold, km/h
0 Light rail 100
1 Subway 150
2 Rail 500
3 Bus 150
4 Ferry 80
5 Cable tram 30
6 Aerial lift 50
7 Funicular 50
11 Trolleybus 150
12 Monorail 150
- Unknown 200

You can see more about this notice here.

tripCsvRowNumber (?) The row number of the problematic trip. tripId (?) `trip_id` of the problematic trip. routeId (?) `route_id` of the problematic trip. speedKph (?) Travel speed (km/h). distanceKm (?) Distance between stops (km). csvRowNumber1 (?) The row number of the first stop time. stopSequence1 (?) `stop_sequence` of the first stop. stopId1 (?) `stop_id` of the first stop. stopName1 (?) `stop_name` of the first stop. departureTime1 (?) `departure_time` of the first stop. csvRowNumber2 (?) The row number of the second stop time. stopSequence2 (?) `stop_sequence` of the second stop. stopId2 (?) `stop_id` of the second stop. stopName2 (?) `stop_name` of the second stop. arrivalTime2 (?) `arrival_time` of the second stop.
4382 "21_APNV_416-45-3-250526-ab-1310" "17272" 196.9887428340989 3.283145713901648 202098 17 "99227" "Krekenava" "14:03:00" 202099 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.
16410 "2699" "7597177"
16459 "2699" "7597202"
16480 "2699" "7597209"
16509 "2699" "7597189"
16524 "2699" "7597195"
16545 "2699" "7597171"
16603 "2699" "7597125"
16687 "2699" "7597132"
16767 "2699" "7597210"
16773 "2699" "7597201"
16775 "2699" "7597172"
16872 "2699" "7597196"
16893 "2699" "7597144"
16906 "2699" "7597164"
16913 "2699" "7597176"
16929 "2699" "7597137"
16982 "2699" "7597170"
17105 "2699" "7597140"
17151 "2699" "7597191"
17155 "2699" "7597133"
17294 "2699" "7597147"
17350 "2699" "7597155"
17387 "2699" "7597146"
17460 "2699" "7597130"
17480 "2699" "7597181"
17600 "2699" "7597150"
17674 "2699" "7597128"
17776 "2699" "7597186"
17854 "2699" "7597188"
17857 "2699" "7597203"
17863 "2699" "7597157"
17978 "2699" "7597127"
18038 "2699" "7597166"
18086 "2699" "7597167"
18089 "2699" "7597134"
18096 "2699" "7597206"
18102 "2699" "7597143"
18109 "2699" "7597190"
18361 "2699" "7597154"
18370 "2699" "7597204"
18410 "2699" "7597142"
18433 "2699" "7597207"
18647 "2699" "7597021"
18731 "2699" "7597136"
18768 "2699" "7597211"
18816 "2699" "7597178"
18901 "2699" "7597198"
18968 "2699" "7597184"
18985 "2699" "7597208"
19022 "2699" "7597187"
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_short_name" "3_VLP" 31
"routes.txt" "route_long_name" "ŠVENČIONYS-ŠUTONYS-ŠVENČIONYS" 72
"routes.txt" "route_short_name" "5_VLP" 206
"routes.txt" "route_long_name" "ŠVENČIONYS-PABRADĖ-VILNIUS-PABRADĖ-ŠVENČIONYS" 230
"routes.txt" "route_long_name" "ŽELVA - PUSNĖ" 339
"routes.txt" "route_short_name" "40-DT" 352
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS, KANDRĖNUS, LAIČIUS" 355
"routes.txt" "route_short_name" "2_VLP" 378
"routes.txt" "route_short_name" "94AT" 488
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER KANDRĖNUS, LAIČIUS" 592
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 593
"routes.txt" "route_short_name" "94-DC" 606
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 645
"routes.txt" "route_short_name" "4_VLP" 727
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 779
"routes.txt" "route_short_name" "70AC" 800
"routes.txt" "route_short_name" "1A_VLP" 898
"routes.txt" "route_long_name" "KUPIŠKIS - ANTAŠAVA" 942
"routes.txt" "route_long_name" "ŠIRVINTOS - UKMERGĖ - ŠIRVINTOS" 965
"routes.txt" "route_short_name" "2A_VLP" 1058
"routes.txt" "route_long_name" "ŠVENČIONYS-ADUTIŠKIS-JAKELIAI-ADUTIŠKIS-ŠVENČIONYS" 1075
"routes.txt" "route_long_name" "KUPIŠKIS – ŠIMONYS PER MIGONIS" 1117
"routes.txt" "route_long_name" "KUPIŠKIS – PANEVĖŽYS" 1136
"routes.txt" "route_long_name" "ŽELVA - KIAUKLIAI" 1139
"routes.txt" "route_short_name" "50AB" 1153
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS" 1169
"routes.txt" "route_short_name" "1_VLP" 1239
"routes.txt" "route_long_name" "KUPIŠKIS – ALIZAVA PER PALĖVENĖLĘ – KUPIŠKIS" 1309
"routes.txt" "route_long_name" "KUPIŠKIS – VAINIŪNIŠKIS (PER PALĖVENĖLĘ) – KUPIŠKIS" 1317
"routes.txt" "route_long_name" "KUPIŠKIS – SUBAČIAUS MST. PER LUKONIS" 1339
"routes.txt" "route_long_name" "KUPIŠKIS – LAIČIAI PER KANDRĖNUS, SKAPIŠKIO MSTL." 1370
"stops.txt" "stop_name" "140 km" 217
"stops.txt" "stop_name" "7-asis km." 295
"stops.txt" "stop_name" "VDU klasikinio ugdymo licėjus B" 790
"stops.txt" "stop_name" "4-asis fortas B" 828
"stops.txt" "stop_name" "VDU klasikinio ugdymo licėjus A" 872
"stops.txt" "stop_name" "7-asis kilometras A" 949
"stops.txt" "stop_name" "9-ojo forto muziejus" 1673
"stops.txt" "stop_name" "2-ieji sodininkai" 1992
"stops.txt" "stop_name" "KTU inžinerijos licėjus B" 2425
"stops.txt" "stop_name" "HARJU ELEKTER UAB" 2677
"stops.txt" "stop_name" "9 kilometras" 2875
"stops.txt" "stop_name" "9 kilometras" 2876
"stops.txt" "stop_name" "40 km" 2934
"stops.txt" "stop_name" "žieda" 2965
"stops.txt" "stop_name" "16-sis kilometras" 3019
"stops.txt" "stop_name" "2-asis fortas" 3495
"stops.txt" "stop_name" "2-ieji sodininkai" 3679
"stops.txt" "stop_name" "III km." 4312
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.
19006 "3636" "45756" 2925 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
18168 "3651" "45771" 2954 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
18328 "3653" "45773" 2955 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
18151 "43544" "8124133" 330292 "9340" "Mokykla" [55.512857000000004,26.315831] 134.01174852768767
16540 "43548" "8124139" 330330 "8484" "Mokykla" [55.513561,26.317414] 128.25393944619788
16995 "26974" "7317018" 33572 "14216" "Glaudžiai" [55.90637400000001,21.877556999999996] 1731.1842381583824
16995 "26974" "7317018" 33573 "10163" "Glaudžiai I" [55.90637400000001,21.877556999999996] 935.5388323636666
16995 "26974" "7317018" 33588 "19491" "Plungės autobusų stotis" [55.918779,21.851513000000004] 152.03315218543798
17706 "29329" "7418310" 40604 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
19370 "29328" "7418309" 40581 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
18277 "16822" "2392138" 20501 "8988" "Miškų urėdija" [56.223549,23.648672] 192.32046673726916
16625 "16821" "2392135" 20471 "8988" "Miškų urėdija" [56.223549,23.648672] 192.32046673726916
18964 "16823" "2392142" 20576 "15916" "Miškų urėdija" [56.223436,23.64902] 114.43864929834778
19063 "18654" "3218451" 23326 "67434" "Geluva" [55.249732,23.511073] 140.46827403515317
17333 "32206" "7476585" 46454 "48065" "Troškūnų g." [55.521214350005486,25.097709664383384] 523.8519190658676
17333 "32206" "7476585" 46455 "48066" "Geležinkelio stotis" [55.526276,25.103853] 785.72734673045
17333 "32206" "7476585" 46456 "48068" "Kalno parduotuvė" [55.526598,25.099623999999995] 574.8082135251354
17333 "32206" "7476585" 46459 "48071" "Pušyno mikrorajonas" [55.521132,25.115296] 658.3695095777266
17333 "32206" "7476585" 46464 "48070" "Žiburio g." [55.525912999999996,25.113931000000004] 146.43308427108235
19944 "3899" "46086" 3063 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
19612 "3014" "43694" 2088 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
10566 "37872" "61_49W" 67853 "91654" "Kūlokai" [54.450829999999996,23.395002] 3378.2526672161835
16664 "29420" "7429613" 41141 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
18117 "4529" "46899" 3886 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
17034 "4527" "47691" 5075 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
20346 "4528" "47692" 5076 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
16484 "14622" "7150733" 32525 "14754" "Naiviai" [55.84397975379556,25.145549112350125] 765.6219655883444
18666 "2821" "45017" 2849 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
20398 "29615" "7432118" 41549 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
17252 "29616" "7432119" 41597 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
9347 "21886" "60_A33-01-1-241209-ba-2200" 66551 "5846" "Grūtas" [54.032271447911626,24.074587772943918] 103.01117636409927
7286 "21885" "60_A2-02-1-241209-ab-1210" 67216 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
14433 "21887" "60_A2-01-7-251110-ab3-1430" 331554 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
9229 "21891" "60_A2-02-1-241209-ab2-2020" 63061 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
11881 "21865" "60_A2-01-7-251110-b3a-0920" 331351 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
9335 "21872" "60_A2-02-1-241209-b2a-1940" 61636 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
21198 "3339" "46943" 3887 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
19682 "11705" "747606" 14505 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
18808 "6511" "54508" 8266 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
16667 "6509" "54502" 8215 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
20202 "6513" "54509" 8278 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
16605 "29093" "7413976" 38482 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
20272 "29092" "7413975" 38452 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
17323 "5232" "48165" 5322 "14684" "Lieplaukalė" [55.9354974471734,21.831098374058865] 152.04079667279404
17677 "27242" "7322654" 34841 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
17845 "27240" "7322650" 34775 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
18610 "27239" "7322649" 34767 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
18575 "27236" "7322645" 34750 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
17469 "27237" "7322647" 34758 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
21795 "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.
20687 "3645" "57657" 10479 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 10478 "12152" "Jonaičiai" [55.34641499999999,21.570023]
21104 "3667" "57730" 10618 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 10617 "13926" "Jonaičiai" [55.346103,21.568929]
17209 "3714" "57736" 10692 "13926" "Jonaičiai" [55.346103,21.568929] 10691 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
21669 "13808" "1228372" 16619 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 16618 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
21476 "28435" "7339430" 36046 "64819" "Suostas" [56.32837413018391,24.713657886432735] 36045 "16112" "Svydžiai" [56.352930797976754,24.686322368913352]
16558 "28434" "7339429" 36022 "10057" "Svydžiai" [56.35334128457164,24.685572701413516] 36021 "64820" "Suostas" [56.32837775901334,24.713656830174433]
17203 "6591" "57636" 10155 "13926" "Jonaičiai" [55.346103,21.568929] 10154 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
19856 "3554" "57639" 10195 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 10194 "12152" "Jonaičiai" [55.34641499999999,21.570023]
20397 "29102" "7413991" 38576 "71231" "Žuvintai" [54.448579423202126,23.62330650767253] 38575 "71255" "Litvanciškai" [54.41436513808293,23.67340583550103]
16757 "40377" "8016002" 90427 "72301" "Kirlikai" [55.32834500402225,21.565359093761266] 90426 "97223" "Tarvydai I" [55.328604,21.56423]
19951 "40378" "8016003" 90436 "71683" "Tarvydai II" [55.31814711876975,21.598011981975805] 90435 "97223" "Tarvydai I" [55.328604,21.56423]
16536 "5353" "57622" 9984 "13926" "Jonaičiai" [55.346103,21.568929] 9983 "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