GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2026-02-09T07:14:29+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: 1368
  • Shapes: 3606
  • Stops: 13059
  • Trips: 22383

Specification Compliance report

121504 notices reported (0 errors, 121471 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`.
288 "19131" 289 "19132" "M-168" "Kaunas-Giraitė-Užliedžiai-Babtai-Vosiškiai" 3 "14"
122 "19108" 300 "19109" "M-194" "Kauno pilis-Garliava-Linksmakalnis" 3 "14"
128 "19103" 303 "19098" "M-168" "Vosiškiai-Babtai" 3 "14"
251 "6209" 308 "18329" "M1" "Alytus - Geniai" 3 "48"
116 "19091" 469 "19094" "M-104" "Kaunas-Ražiškiai-Karkazai-Kreidos g.-Seniava" 3 "14"
295 "19087" 470 "19089" "M-180A" "Kaunas-Akademija-Bajorai-Girininkų miškas" 3 "14"
293 "19145" 471 "19149" "M-154" "Čekiškė - Daugėliškiai - Vilkija - Kaunas" 3 "14"
473 "19072" 474 "19074" "M-135" "Kaunas - Rokai - Girininkai" 3 "14"
126 "19129" 475 "19127" "M-166" "Kaunas-Raudondvario pl.-Ringaudai-Tabariškiai" 3 "14"
477 "19118" 478 "19120" "M-146" "Kaunas-Žiegždriai" 3 "14"
468 "19138" 632 "19136" "M-172" "Kaunas-Margininkai-Piliuona-Pakuonis" 3 "14"
290 "19099" 633 "19104" "M-189" "Kaunas - Drąseikiai - Batėgala" 3 "14"
287 "19128" 635 "19130" "M-179" "Kaunas-Vaišvydava-Viršužiglis-Arlaviškės" 3 "14"
476 "19081" 640 "19071" "M-161" "Kaunas-Raudondvaris-Netoniai- Kulautuva" 3 "14"
296 "19112" 794 "19079" "M-198" "Kaunas - Vandžiogala - Boniškiai" 3 "14"
125 "19101" 798 "19100" "M-166" "Kaunas-Kačerginė-Zapyškis-Šėtijų stotelė" 3 "14"
642 "19113" 801 "19117" "M-120" "Karmėlava-Ramučiai" 3 "14"
799 "16052" 893 "6212" "M23" "Alytus - Punia - Butrimonys - Eigirdonys" 3 "48"
467 "19080" 952 "19082" "M-197" "Kaunas-Babtai-Panevėžiukas (SB\"Vija\")" 3 "14"
631 "19122" 954 "19125" "M-103" "Kauno pilis-SB\"Lokomotyvas\"-Babtai" 3 "14"
115 "19084" 955 "19090" "M-101" "Kauno pilis-Giraitė-Užliedžiai" 3 "14"
120 "19152" 956 "19151" "M-170" "Kaunas-Vilkija-Purviškiai-Čekiškė" 3 "14"
292 "19085" 957 "19107" "M-167" "Kaunas-Raudondvaris-Padauguva-Vilkija" 3 "14"
793 "19095" 958 "19092" "M-150" "Kaunas-Ramučiai-Karmėlava-Salupiai-SB\"Inkaras\"" 3 "14"
297 "19119" 959 "19114" "M-153" "Kaunas-Vilkija-Liučiūnai-Čekiškė" 3 "14"
299 "19147" 960 "19143" "M-199" "Kaunas-Voškoniai-Vandžiogala-Labūnava" 3 "14"
637 "19116" 962 "19115" "M-165" "Kaunas-Kačerginė-Zapyškis-Lekėčiai" 3 "14"
1129 "19073" 1130 "19075" "M-157" "Kaunas-Kačerginė-Zapyškis-Ežerėlis" 3 "14"
953 "19106" 1131 "19105" "M-149" "Kaunas-Vaišvydava-Gervėnupis" 3 "14"
291 "19144" 1132 "19148" "M-106" "Kaunas-Jonučiai-Garliava-Jurginiškiai" 3 "14"
119 "19142" 1133 "19141" "M-180" "Kaunas-Ringaudai-Tabariškiai-Girininkai" 3 "14"
121 "19140" 1134 "19139" "M-163" "Kaunas-Babtai-Labūnava" 3 "14"
1119 "19161" 1282 "19162" "M-152" "Kauno g.-Poliklinika-Birštono seniūnija" 3 "58"
1295 "19093" 1297 "19096" "M-156" "Kaunas - Neveronys" 3 "14"
791 "19123" 1298 "19121" "M-148" "Kaunas-Domeikava-SB\"Didžiosios Lapės\"" 3 "14"
1296 "19077" 1299 "19078" "M-151(A)" "Kaunas-Urban HUB-LEZ-Kaunas" 3 "14"
294 "19086" 1300 "19088" "M-120" "Kaunas-Karmėlavos kapinės" 3 "14"
118 "19126" 1301 "19124" "M-159" "Kaunas-Mastaičiai-Pažėrai-SB\"Aronija\"-Smėlio g." 3 "14"
298 "19076" 1302 "19083" "M-168" "Kaunas-Šilainiai-Giraitė-Užliedžiai" 3 "14"
795 "19146" 1304 "19150" "M-101A" "Kauno pilis-Šilainiai-Giraitė-Užliedžiai" 3 "14"
302 "19097" 1306 "19102" "M-181" "Kaunas-Noreikiškės-Ringaudai-Tabariškiai-Gelžkeliuko g." 3 "14"
636 "19133" 1307 "19134" "M-140" "Kauno pilis-Garliava-Mastaičiai-Kampiškiai" 3 "14"
480 "19110" 1309 "19111" "M-151" "Kaunas-Ramučiai" 3 "14"
127 "19137" 1310 "19135" "M-108" "Kaunas-Ireniškiai-Seniava" 3 "14"
446 "3645" 1321 "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" 501076 29882.7 878 501075 29882.7 877 0.12791084993239907
"2328" 405894 35929.8 642 405893 35929.8 641 0.11119510090982554
"3659" 496126 49657.5 1177 496125 49657.5 1176 0.12791084993239907
"42205" 3284997 57850.1 335 3284996 57850.1 334 0.06178544815632574
"2369" 391143 63265.5 1261 391142 63265.5 1260 0.11119510090982554
"2385" 606148 69168.3 1771 606147 69168.3 1770 0.06441976500794575
"28733" 2291577 71509.2 1569 2291576 71509.2 1568 0.06441976500794575
"1919" 772013 136875.8 2842 772012 136875.8 2841 0.12752942403551987
"1919" 772016 136876.0 2845 772015 136876.0 2844 0.11119510090982554
"1919" 772023 136876.5 2852 772022 136876.5 2851 0.11119510232447394
"1919" 772026 136876.7 2855 772025 136876.7 2854 0.11119510161714974
"1919" 772029 136876.9 2858 772028 136876.9 2857 0.12752941555597483
"1919" 772038 136877.5 2867 772037 136877.5 2866 0.11119510090982554
"1919" 772041 136877.7 2870 772040 136877.7 2869 0.11119510161714974
"1919" 772044 136877.9 2873 772043 136877.9 2872 0.11119510090982554
"1919" 772051 136878.4 2880 772050 136878.4 2879 0.11119510090982554
"1919" 772054 136878.6 2883 772053 136878.6 2882 0.11119510161714974
"1919" 772063 136879.2 2892 772062 136879.2 2891 0.11119510090982554
"1919" 772066 136879.4 2895 772065 136879.4 2894 0.12752939825777979
"1919" 772069 136879.6 2898 772068 136879.6 2897 0.11119510161714974
"1919" 772078 136880.2 2907 772077 136880.2 2906 0.11119510161714974
"1919" 772082 136880.5 2911 772081 136880.5 2910 0.06244513630731429
"1919" 772088 136880.9 2917 772087 136880.9 2916 0.11119510161714974
"1919" 772091 136881.1 2920 772090 136881.1 2919 0.11119510090982554
"1919" 772094 136881.3 2923 772093 136881.3 2922 0.11119510090982554
"1919" 772103 136881.9 2932 772102 136881.9 2931 0.12752938095958766
"1919" 772106 136882.1 2935 772105 136882.1 2934 0.11119510161714974
"1919" 772117 136882.8 2946 772116 136882.8 2945 0.11119510161714974
"1919" 772122 136883.1 2951 772121 136883.1 2950 0.11119510161714974
"1919" 772130 136883.6 2959 772129 136883.6 2958 0.11119510090982554
"1919" 772135 136883.9 2964 772134 136883.9 2963 0.11119510090982554
"1919" 772148 136884.7 2977 772147 136884.7 2976 0.11119510161714974
"1919" 772150 136884.8 2979 772149 136884.8 2978 0.11119510090982554
"1919" 772153 136885.0 2982 772152 136885.0 2981 0.11119510161714974
"1919" 772161 136885.5 2990 772160 136885.5 2989 0.1275293557985862
"1919" 772163 136885.6 2992 772162 136885.6 2991 0.11119510161714974
"1919" 772166 136885.8 2995 772165 136885.8 2994 0.11119510090982554
"1919" 772168 136885.9 2997 772167 136885.9 2996 0.11119510232447394
"1919" 772174 136886.3 3003 772173 136886.3 3002 0.06244505260741443
"1919" 772179 136886.6 3008 772178 136886.6 3007 0.11119510161714974
"1919" 772181 136886.7 3010 772180 136886.7 3009 0.11119510090982554
"1919" 772184 136886.9 3013 772183 136886.9 3012 0.11119510090982554
"1919" 772186 136887.0 3015 772185 136887.0 3014 0.11119510090982554
"1919" 772192 136887.4 3021 772191 136887.4 3020 0.11119510090982554
"1919" 772194 136887.5 3023 772193 136887.5 3022 0.11119510161714974
"1919" 772197 136887.7 3026 772196 136887.7 3025 0.11119510090982554
"1919" 772199 136887.8 3028 772198 136887.8 3027 0.11119510161714974
"1919" 772210 136888.5 3039 772209 136888.5 3038 0.11119510161714974
"1919" 772212 136888.6 3041 772211 136888.6 3040 0.11119510090982554
"1919" 772215 136888.8 3044 772214 136888.8 3043 0.11119510090982554
equal_shape_distance_same_coordinates WARNING 15954

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 15954 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" 3018358 350.5 28 3018357 350.5 27
"43541" 3018369 811.7 39 3018368 811.7 38
"43541" 3018408 1779.8 78 3018407 1779.8 77
"43541" 3018452 3184.3 122 3018451 3184.3 121
"43541" 3018485 4418.1 155 3018484 4418.1 154
"43541" 3018501 4854.6 171 3018500 4854.6 170
"43541" 3018550 6561.9 220 3018549 6561.9 219
"43541" 3018586 7544.1 256 3018585 7544.1 255
"43541" 3018625 8757.6 295 3018624 8757.6 294
"43541" 3018642 9358.6 312 3018641 9358.6 311
"43541" 3018669 9709.1 339 3018668 9709.1 338
"43541" 3018715 10376.7 385 3018714 10376.7 384
"43541" 3018768 11116.1 438 3018767 11116.1 437
"43541" 3018799 11700.4 469 3018798 11700.4 468
"43541" 3018830 12284.8 500 3018829 12284.8 499
"43541" 3019091 14358.7 761 3019090 14358.7 760
"43541" 3019167 14706.8 837 3019166 14706.8 836
"43541" 3019267 15301.6 937 3019266 15301.6 936
"43541" 3019367 15896.4 1037 3019366 15896.4 1036
"43541" 3019443 16244.5 1113 3019442 16244.5 1112
"43541" 3019641 17133.2 1311 3019640 17133.2 1310
"43541" 3019884 18161.9 1554 3019883 18161.9 1553
"43541" 3019909 18472.3 1579 3019908 18472.3 1578
"43541" 3019959 18976.3 1629 3019958 18976.3 1628
"43541" 3020106 19673.4 1776 3020105 19673.4 1775
"43541" 3020335 21285.9 2005 3020334 21285.9 2004
"43541" 3020411 22756.6 2081 3020410 22756.6 2080
"43541" 3020487 24227.3 2157 3020486 24227.3 2156
"43541" 3020526 24719.6 2196 3020525 24719.6 2195
"43541" 3020543 25292.2 2213 3020542 25292.2 2212
"43541" 3020562 25625.9 2232 3020561 25625.9 2231
"43541" 3020650 26736.7 2320 3020649 26736.7 2319
"43541" 3020737 27236.5 2407 3020736 27236.5 2406
"43541" 3020786 28436.1 2456 3020785 28436.1 2455
"43541" 3020825 28928.5 2495 3020824 28928.5 2494
"43541" 3020876 29639.4 2546 3020875 29639.4 2545
"43541" 3021107 30811.2 2777 3021106 30811.2 2776
"43541" 3021183 31159.3 2853 3021182 31159.3 2852
"43541" 3021283 31754.1 2953 3021282 31754.1 2952
"43541" 3021383 32348.9 3053 3021382 32348.9 3052
"43541" 3021459 32697.0 3129 3021458 32697.0 3128
"43541" 3021657 33585.6 3327 3021656 33585.6 3326
"43541" 3021941 35228.5 3611 3021940 35228.5 3610
"43541" 3021994 35967.9 3664 3021993 35967.9 3663
"43541" 3022025 36552.2 3695 3022024 36552.2 3694
"43541" 3022056 37136.6 3726 3022055 37136.6 3725
"42206" 3285168 20641.7 108 3285167 20641.7 107
"42206" 3285191 24205.9 131 3285190 24205.9 130
"43537" 3295600 310.3 26 3295599 310.3 25
"43537" 3295613 811.7 39 3295612 811.7 38
expired_calendar WARNING 67

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 67 affected records are displayed below.

csvRowNumber (?) The row of the faulty record. serviceId (?) The service id of the faulty record.
6 "1076"
9184 "13743"
2316 "73341"
4531 "2499"
2265 "1256"
2261 "1271"
9149 "1294"
15980 "24602"
2 "1339"
4528 "2685"
15977 "12709"
6825 "1379"
9175 "2737"
11461 "2766"
2281 "60347"
8 "1461"
11474 "47502"
13711 "2814"
9179 "2849"
9180 "2852"
11463 "2850"
6840 "2980"
11462 "2975"
4529 "2974"
13710 "2972"
11488 "60928"
11483 "60959"
9193 "47985"
15971 "1954"
4553 "60890"
13719 "20239"
15981 "20237"
15979 "17222"
13717 "31530"
11469 "17343"
23 "43774"
15966 "678"
9148 "973"
57 "76307"
13761 "76308"
58 "76309"
15974 "3000"
4530 "3012"
15982 "13033"
2272 "13105"
11526 "76816"
11 "2009"
13 "2022"
11479 "48071"
25 "48073"
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.
77 "21_APNV_416-45-3-250526-ab-1310" "17272" 196.9887428340989 3.283145713901648 204970 17 "99227" "Krekenava" "14:03:00" 204971 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.
503 "2699" "7597141"
532 "2699" "7597182"
607 "2699" "7597126"
638 "2699" "7597138"
1014 "2699" "7597135"
1017 "2699" "7597165"
1077 "2699" "7597160"
1195 "2699" "7597180"
1275 "2699" "7597192"
1344 "2699" "7597167"
1347 "2699" "7597134"
1354 "2699" "7597206"
1359 "2699" "7597143"
1365 "2699" "7597190"
1400 "2699" "7597204"
1442 "2699" "7597142"
1464 "2699" "7597207"
1497 "2699" "7597021"
1573 "2699" "7597198"
1639 "2699" "7597184"
12513 "2699" "7597158"
12557 "2699" "7597162"
12742 "2699" "7597154"
12907 "2699" "7597178"
13102 "2699" "7597197"
13146 "2699" "7597199"
13172 "2699" "7597200"
13352 "2699" "7597129"
13361 "2699" "7597153"
13495 "2699" "7597185"
13505 "2699" "7597205"
13514 "2699" "7597145"
13569 "2699" "7597149"
13704 "2699" "7597173"
14080 "2699" "7597193"
14089 "2699" "7597175"
14430 "2699" "7597161"
14446 "2699" "7597151"
14738 "2699" "7597159"
20007 "2699" "7597163"
20085 "2699" "7597212"
20127 "2699" "7597166"
20169 "2699" "7597177"
20296 "2699" "7597202"
20443 "2699" "7597125"
20512 "2699" "7597210"
20607 "2699" "7597201"
20608 "2699" "7597172"
20648 "2699" "7597164"
20653 "2699" "7597176"
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 1060

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 1060 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" "RIMKAI-MAXIMA-ŠVEICARIJA" 10
"routes.txt" "route_short_name" "3_VLP" 110
"routes.txt" "route_long_name" "JONAVA-ŽEIMIAI" 112
"routes.txt" "route_long_name" "JONAVA-PREIŠIOGALĖLĖ-ŽINĖNAI-JONAVA" 133
"routes.txt" "route_long_name" "JONAVA-KAUNAS" 171
"routes.txt" "route_long_name" "JONAVA-KULVA PER JUODMENĄ" 174
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 175
"routes.txt" "route_long_name" "JONAVA-UPININKAI" 176
"routes.txt" "route_long_name" "JONAVA-KULVA" 177
"routes.txt" "route_long_name" "ŽELVA - PUSNĖ" 228
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS, KANDRĖNUS, LAIČIUS" 229
"routes.txt" "route_short_name" "5_VLP" 281
"routes.txt" "route_short_name" "40-DT" 322
"routes.txt" "route_long_name" "JONAVA-ŠĖTA" 364
"routes.txt" "route_short_name" "94AT" 440
"routes.txt" "route_short_name" "2_VLP" 462
"routes.txt" "route_long_name" "JONAVA-JUŠKONYS" 463
"routes.txt" "route_long_name" "JONAVA-KUIGALIAI PER NAUJASODĮ" 464
"routes.txt" "route_long_name" "JONAVA-ŽINĖNAI-PREIŠIOGALĖLĖ-JONAVA" 495
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-GLOBOS NAMAI-RIMKAI" 541
"routes.txt" "route_short_name" "94-DC" 587
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 589
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER KANDRĖNUS, LAIČIUS" 664
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-JUODMENA-RIMKAI" 702
"routes.txt" "route_long_name" "JONAVA-RUKLA" 703
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI" 704
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 735
"routes.txt" "route_short_name" "4_VLP" 789
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI-BUKONYS-ŠILAI-JONAVA" 790
"routes.txt" "route_short_name" "70AC" 844
"routes.txt" "route_long_name" "JONAVA-GAIŽIŪNŲ STOTIS" 860
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 861
"routes.txt" "route_long_name" "KUPIŠKIS - ANTAŠAVA" 863
"routes.txt" "route_short_name" "1A_VLP" 950
"routes.txt" "route_long_name" "ŠIRVINTOS - UKMERGĖ - ŠIRVINTOS" 973
"routes.txt" "route_long_name" "KUPIŠKIS – ŠIMONYS PER MIGONIS" 1061
"routes.txt" "route_long_name" "KUPIŠKIS – PANEVĖŽYS" 1076
"routes.txt" "route_long_name" "ŽELVA - KIAUKLIAI" 1105
"routes.txt" "route_short_name" "2A_VLP" 1124
"routes.txt" "route_long_name" "JONAVA-BUKONYS" 1125
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS" 1145
"routes.txt" "route_long_name" "JONAVA - PAGELEŽIAI" 1149
"routes.txt" "route_short_name" "50AB" 1185
"routes.txt" "route_long_name" "KUPIŠKIS – VAINIŪNIŠKIS (PER PALĖVENĖLĘ) – KUPIŠKIS" 1206
"routes.txt" "route_long_name" "KUPIŠKIS – ALIZAVA PER PALĖVENĖLĘ – KUPIŠKIS" 1209
"routes.txt" "route_long_name" "KUPIŠKIS – LAIČIAI PER KANDRĖNUS, SKAPIŠKIO MSTL." 1231
"routes.txt" "route_long_name" "UKMERGĖ- MIŠNIŪNAI PER LIAUŠIUS" 1238
"routes.txt" "route_short_name" "1_VLP" 1292
"routes.txt" "route_long_name" "JONAVA-KĖDAINIAI" 1294
stop_too_far_from_shape WARNING 62

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 62 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.
20872 "3636" "45756" 3023 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
20358 "3651" "45771" 3052 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
12712 "3653" "45773" 3053 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
20342 "43544" "8124133" 333164 "9340" "Mokykla" [55.512857000000004,26.315831] 134.01174852768767
21091 "43548" "8124139" 333202 "8484" "Mokykla" [55.513561,26.317414] 128.25393944619788
571 "26974" "7317012" 35976 "14216" "Glaudžiai" [55.90637400000001,21.877556999999996] 1731.1842381583824
571 "26974" "7317012" 35977 "10163" "Glaudžiai I" [55.90637400000001,21.877556999999996] 935.5388323636666
571 "26974" "7317012" 35992 "19491" "Plungės autobusų stotis" [55.918779,21.851513000000004] 152.03315218543798
21850 "29329" "7418310" 43511 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
14075 "29328" "7418309" 43488 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
22287 "6003" "52856" 6005 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
504 "6005" "52858" 6014 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
1480 "6004" "52857" 6010 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
21488 "6007" "52859" 6021 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
13746 "6008" "52860" 6026 "8356" "Plinkšės" [56.146646000000004,22.177096] 708.0755710896237
1021 "16822" "2392140" 20299 "8988" "Miškų urėdija" [56.223549,23.648672] 192.32046673726916
999 "16821" "2392136" 20243 "8988" "Miškų urėdija" [56.223549,23.648672] 192.32046673726916
1635 "16823" "2392142" 20338 "15916" "Miškų urėdija" [56.223436,23.64902] 114.43864929834778
20931 "18654" "3218451" 22506 "67434" "Geluva" [55.249732,23.511073] 140.46827403515317
868 "32206" "7476583" 49415 "48065" "Troškūnų g." [55.521214350005486,25.097709664383384] 523.8519190658676
868 "32206" "7476583" 49416 "48066" "Geležinkelio stotis" [55.526276,25.103853] 785.72734673045
868 "32206" "7476583" 49417 "48068" "Kalno parduotuvė" [55.526598,25.099623999999995] 574.8082135251354
868 "32206" "7476583" 49420 "48071" "Pušyno mikrorajonas" [55.521132,25.115296] 658.3695095777266
868 "32206" "7476583" 49425 "48070" "Žiburio g." [55.525912999999996,25.113931000000004] 146.43308427108235
13787 "3899" "46086" 3161 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
13375 "3014" "43694" 2186 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
8749 "37872" "61_49W" 70784 "91654" "Kūlokai" [54.450829999999996,23.395002] 3378.2526672161835
21215 "29420" "7429613" 44048 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
171 "49117" "57_1226-20260204" 409148 "70878" "Šveicarija" [55.04546,24.25836] 149.18478145589043
1373 "4529" "46899" 3984 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
21529 "4527" "47691" 5173 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
874 "4528" "47692" 5174 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
20328 "14622" "7150732" 35016 "14754" "Naiviai" [55.84397975379556,25.145549112350125] 765.6219655883444
1516 "2821" "45017" 2947 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
13932 "29615" "7432118" 44558 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
20990 "29616" "7432119" 44606 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
6499 "21886" "60_A2-02-1-241209-ba-0720" 70088 "5846" "Grūtas" [54.032271447911626,24.074587772943918] 103.01117636409927
2 "21885" "60_A2-02-1-241209-ab-1210" 70147 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
11688 "21887" "60_A2-01-7-251110-ab3-1430" 334426 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
8798 "21891" "60_A2-02-1-241209-ab2-2020" 65992 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
11027 "21865" "60_A2-01-7-251110-b3a-0920" 334223 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
8871 "21872" "60_A2-02-1-241209-b2a-1940" 64567 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
22264 "3339" "46943" 3985 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
585 "11705" "747606" 14674 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
410 "6511" "54507" 8628 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
20737 "6509" "54501" 8574 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
13450 "6513" "54509" 8652 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
20052 "29093" "7413977" 41328 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
797 "29092" "7413975" 41284 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
455 "5232" "56646" 8838 "14684" "Lieplaukalė" [55.9354974471734,21.831098374058865] 152.04079667279404
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.
21922 "3645" "57657" 10875 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 10874 "12152" "Jonaičiai" [55.34641499999999,21.570023]
1023 "3667" "57730" 11014 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 11013 "13926" "Jonaičiai" [55.346103,21.568929]
21621 "3714" "57736" 11088 "13926" "Jonaičiai" [55.346103,21.568929] 11087 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
12510 "13808" "1228372" 16381 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 16380 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
1168 "28435" "7339430" 38806 "64819" "Suostas" [56.32837413018391,24.713657886432735] 38805 "16112" "Svydžiai" [56.352930797976754,24.686322368913352]
20312 "28434" "7339429" 38782 "10057" "Svydžiai" [56.35334128457164,24.685572701413516] 38781 "64820" "Suostas" [56.32837775901334,24.713656830174433]
20356 "6591" "57635" 10535 "13926" "Jonaičiai" [55.346103,21.568929] 10534 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
659 "3554" "57639" 10591 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 10590 "12152" "Jonaičiai" [55.34641499999999,21.570023]
13931 "29102" "7413991" 41408 "71231" "Žuvintai" [54.448579423202126,23.62330650767253] 41407 "71255" "Litvanciškai" [54.41436513808293,23.67340583550103]
20502 "40377" "8016002" 93369 "72301" "Kirlikai" [55.32834500402225,21.565359093761266] 93368 "97223" "Tarvydai I" [55.328604,21.56423]
14216 "40378" "8016003" 93378 "71683" "Tarvydai II" [55.31814711876975,21.598011981975805] 93377 "97223" "Tarvydai I" [55.328604,21.56423]
1224 "5353" "57618" 10363 "13926" "Jonaičiai" [55.346103,21.568929] 10362 "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