GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2025-11-23T06:08:45+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: 39
  • Blocks: 0
  • Routes: 1380
  • Shapes: 3757
  • Stops: 13551
  • Trips: 22940

Specification Compliance report

117409 notices reported (0 errors, 117376 warnings, 33 infos)

Notice Code Severity Total
duplicate_route_name WARNING 43

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`.
72 "17910" 73 "17907" "M-120" "Kaunas-Karmėlavos kapinės" 3 "14"
60 "17919" 74 "17922" "M-161" "Kaunas-Raudondvaris-Netoniai- Kulautuva" 3 "14"
75 "17961" 238 "17959" "M-198" "Kaunas - Vandžiogala - Boniškiai" 3 "14"
183 "17912" 375 "17914" "M-101" "Kauno pilis-Linkuvos g.-Giraitė-Ledos kapinės" 3 "14"
405 "17908" 410 "17902" "M-150" "Kaunas-Ramučiai-Karmėlava-Salupiai-SB\"Inkaras\"" 3 "14"
411 "17953" 412 "17956" "M-148" "Kaunas-Domeikava-SB\"Didžiosios Lapės\"" 3 "14"
236 "17929" 418 "17932" "M-101A" "Kauno pilis-Linkuvos g.-Šilainiai-Užliedžiai" 3 "14"
248 "17899" 428 "17896" "M-180A" "Kaunas-Akademija-Bajorai-Girininkų miškas" 3 "14"
88 "17944" 434 "17941" "M-108" "Kaunas-Ireniškiai-Seniava" 3 "14"
182 "17891" 548 "17893" "M-163" "Kaunas-Babtai-Labūnava" 3 "14"
23 "17935" 585 "17934" "M-106" "Kaunas-Jonučiai-Garliava-Jurginiškiai" 3 "14"
438 "17927" 611 "17915" "M-135" "Kaunas - Rokai - Girininkai" 3 "14"
518 "17965" 683 "17963" "M-120" "Karmėlava-Ramučiai" 3 "14"
546 "17913" 710 "17906" "M-157" "Kaunas-Kačerginė-Zapyškis-Ežerėlis" 3 "14"
58 "17930" 750 "17933" "M-199" "Kaunas-Voškoniai-Vandžiogala-Labūnava" 3 "14"
444 "17921" 763 "17918" "M-159" "Kaunas-Mastaičiai-Pažėrai-SB\"Aronija\"-Smėlio g." 3 "14"
770 "17936" 771 "17931" "M-154" "Čekiškė - Daugėliškiai - Vilkija - Kaunas" 3 "14"
374 "17943" 876 "17945" "M-181" "Kaunas-Noreikiškės-Ringaudai-Tabariškiai-Gelžkeliuko g." 3 "14"
561 "17952" 887 "17954" "M-153" "Kaunas-Vilkija-Liučiūnai-Čekiškė" 3 "14"
59 "17964" 919 "17966" "M-166" "Kaunas-Raudondvario pl.-Ringaudai-Tabariškiai" 3 "14"
68 "17940" 920 "17937" "M-172" "Kaunas-Margininkai-Piliuona-Pakuonis" 3 "14"
233 "17925" 925 "17900" "M-179" "Kaunas-Vaišvydava-Viršužiglis-Arlaviškės" 3 "14"
929 "17928" 930 "17924" "M-168" "Kaunas-Linkuvos g.-Užliedžiai-Babtai-Vosiškiai" 3 "14"
602 "17949" 935 "17950" "M-197" "Kaunas-Babtai-Panevėžiukas (SB\"Vija\")" 3 "14"
764 "17946" 938 "17939" "M-166" "Kaunas-Kačerginė-Zapyškis-Šėtijų stotelė" 3 "14"
713 "16052" 963 "6212" "M23" "Alytus - Punia - Butrimonys - Eigirdonys" 3 "48"
547 "17955" 1048 "17951" "M-103" "Kauno pilis-SB\"Lokomotyvas\"-Babtai" 3 "14"
205 "17888" 1056 "17887" "M-152" "Kauno g.-Poliklinika-Birštono seniūnija" 3 "58"
1090 "17948" 1091 "17947" "M-167" "Kaunas-Raudondvaris-Padauguva-Vilkija" 3 "14"
798 "17962" 1099 "17967" "M-151" "Kaunas-Ramučiai" 3 "14"
82 "17917" 1102 "17920" "M-146" "Kaunas-Žiegždriai" 3 "14"
940 "17969" 1109 "17968" "M-168" "Vosiškiai-Babtai" 3 "14"
372 "17958" 1112 "17903" "M-140" "Kauno pilis-Garliava-Mastaičiai-Kampiškiai" 3 "14"
430 "3645" 1205 "8681" "144" "Vilnius (Žalgirio stotelė) – Nemenčinė per Pikeliškes" 3 "53"
877 "17897" 1224 "17904" "M-156" "Kaunas - Neveronys" 3 "14"
373 "17895" 1225 "17894" "M-189" "Kaunas - Drąseikiai - Batėgala" 3 "14"
1047 "17909" 1233 "17911" "M-149" "Kaunas-Vaišvydava-Gervėnupis" 3 "14"
753 "17916" 1269 "17923" "M-170" "Kaunas-Vilkija-Purviškiai-Čekiškė" 3 "14"
592 "17942" 1271 "17938" "M-165" "Kaunas-Kačerginė-Zapyškis-Lekėčiai" 3 "14"
756 "17957" 1274 "17960" "M-104" "Kaunas-Ražiškiai-Karkazai-Kreidos g.-Seniava" 3 "14"
235 "17905" 1279 "17901" "M-194" "Kauno pilis-Garliava-Linksmakalnis" 3 "14"
1075 "17890" 1293 "17892" "M-180" "Kaunas-Ringaudai-Tabariškiai-Girininkai" 3 "14"
620 "17898" 1312 "17926" "M-151(A)" "Kaunas-Urban HUB-LEZ-Kaunas" 3 "14"
equal_shape_distance_diff_coordinates_distance_below_threshold WARNING 4149

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 4149 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" 505616 29882.7 878 505615 29882.7 877 0.12791084993239907
"2328" 414514 35929.8 642 414513 35929.8 641 0.11119510090982554
"3659" 500666 49657.5 1177 500665 49657.5 1176 0.12791084993239907
"42205" 3290625 57850.1 335 3290624 57850.1 334 0.06178544815632574
"2369" 399854 63265.5 1261 399853 63265.5 1260 0.11119510090982554
"2385" 609424 69168.3 1771 609423 69168.3 1770 0.06441976500794575
"28733" 2288086 71509.2 1569 2288085 71509.2 1568 0.06441976500794575
"1919" 774940 136875.8 2842 774939 136875.8 2841 0.12752942403551987
"1919" 774943 136876.0 2845 774942 136876.0 2844 0.11119510090982554
"1919" 774950 136876.5 2852 774949 136876.5 2851 0.11119510232447394
"1919" 774953 136876.7 2855 774952 136876.7 2854 0.11119510161714974
"1919" 774956 136876.9 2858 774955 136876.9 2857 0.12752941555597483
"1919" 774965 136877.5 2867 774964 136877.5 2866 0.11119510090982554
"1919" 774968 136877.7 2870 774967 136877.7 2869 0.11119510161714974
"1919" 774971 136877.9 2873 774970 136877.9 2872 0.11119510090982554
"1919" 774978 136878.4 2880 774977 136878.4 2879 0.11119510090982554
"1919" 774981 136878.6 2883 774980 136878.6 2882 0.11119510161714974
"1919" 774990 136879.2 2892 774989 136879.2 2891 0.11119510090982554
"1919" 774993 136879.4 2895 774992 136879.4 2894 0.12752939825777979
"1919" 774996 136879.6 2898 774995 136879.6 2897 0.11119510161714974
"1919" 775005 136880.2 2907 775004 136880.2 2906 0.11119510161714974
"1919" 775009 136880.5 2911 775008 136880.5 2910 0.06244513630731429
"1919" 775015 136880.9 2917 775014 136880.9 2916 0.11119510161714974
"1919" 775018 136881.1 2920 775017 136881.1 2919 0.11119510090982554
"1919" 775021 136881.3 2923 775020 136881.3 2922 0.11119510090982554
"1919" 775030 136881.9 2932 775029 136881.9 2931 0.12752938095958766
"1919" 775033 136882.1 2935 775032 136882.1 2934 0.11119510161714974
"1919" 775044 136882.8 2946 775043 136882.8 2945 0.11119510161714974
"1919" 775049 136883.1 2951 775048 136883.1 2950 0.11119510161714974
"1919" 775057 136883.6 2959 775056 136883.6 2958 0.11119510090982554
"1919" 775062 136883.9 2964 775061 136883.9 2963 0.11119510090982554
"1919" 775075 136884.7 2977 775074 136884.7 2976 0.11119510161714974
"1919" 775077 136884.8 2979 775076 136884.8 2978 0.11119510090982554
"1919" 775080 136885.0 2982 775079 136885.0 2981 0.11119510161714974
"1919" 775088 136885.5 2990 775087 136885.5 2989 0.1275293557985862
"1919" 775090 136885.6 2992 775089 136885.6 2991 0.11119510161714974
"1919" 775093 136885.8 2995 775092 136885.8 2994 0.11119510090982554
"1919" 775095 136885.9 2997 775094 136885.9 2996 0.11119510232447394
"1919" 775101 136886.3 3003 775100 136886.3 3002 0.06244505260741443
"1919" 775106 136886.6 3008 775105 136886.6 3007 0.11119510161714974
"1919" 775108 136886.7 3010 775107 136886.7 3009 0.11119510090982554
"1919" 775111 136886.9 3013 775110 136886.9 3012 0.11119510090982554
"1919" 775113 136887.0 3015 775112 136887.0 3014 0.11119510090982554
"1919" 775119 136887.4 3021 775118 136887.4 3020 0.11119510090982554
"1919" 775121 136887.5 3023 775120 136887.5 3022 0.11119510161714974
"1919" 775124 136887.7 3026 775123 136887.7 3025 0.11119510090982554
"1919" 775126 136887.8 3028 775125 136887.8 3027 0.11119510161714974
"1919" 775137 136888.5 3039 775136 136888.5 3038 0.11119510161714974
"1919" 775139 136888.6 3041 775138 136888.6 3040 0.11119510090982554
"1919" 775142 136888.8 3044 775141 136888.8 3043 0.11119510090982554
equal_shape_distance_same_coordinates WARNING 12610

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 12610 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`.
"44896" 3247347 438.6 15 3247346 438.6 14
"44896" 3247370 1566.5 38 3247369 1566.5 37
"44896" 3247388 3424.7 56 3247387 3424.7 55
"44896" 3247401 4360.3 69 3247400 4360.3 68
"44896" 3247410 5048.7 78 3247409 5048.7 77
"44896" 3247417 5468.8 85 3247416 5468.8 84
"44896" 3247423 6033.3 91 3247422 6033.3 90
"44896" 3247444 6752.8 112 3247443 6752.8 111
"44896" 3247482 8357.7 150 3247481 8357.7 149
"44896" 3247492 8989.2 160 3247491 8989.2 159
"44896" 3247518 10607.0 186 3247517 10607.0 185
"44896" 3247543 12062.0 211 3247542 12062.0 210
"44896" 3247555 12815.7 223 3247554 12815.7 222
"44896" 3247589 14900.7 257 3247588 14900.7 256
"44896" 3247603 16282.0 271 3247602 16282.0 270
"44895" 3246887 1807.0 30 3246886 1807.0 29
"44895" 3246917 3452.5 60 3246916 3452.5 59
"44895" 3246934 4217.0 77 3246933 4217.0 76
"44895" 3246949 5516.2 92 3246948 5516.2 91
"44895" 3246979 7228.2 122 3246978 7228.2 121
"44895" 3246989 7795.1 132 3246988 7795.1 131
"44895" 3247021 9412.6 164 3247020 9412.6 163
"44895" 3247026 10092.5 169 3247025 10092.5 168
"44895" 3247034 10723.8 177 3247033 10723.8 176
"44895" 3247040 11155.6 183 3247039 11155.6 182
"44895" 3247049 11778.2 192 3247048 11778.2 191
"44895" 3247062 12601.7 205 3247061 12601.7 204
"44895" 3247081 14623.9 224 3247080 14623.9 223
"44895" 3247099 15739.3 242 3247098 15739.3 241
"44895" 3247113 16957.1 256 3247112 16957.1 255
"44895" 3247134 19706.2 277 3247133 19706.2 276
"44895" 3247145 21159.8 288 3247144 21159.8 287
"44895" 3247155 22748.3 298 3247154 22748.3 297
"44895" 3247159 23441.0 302 3247158 23441.0 301
"44895" 3247166 24772.0 309 3247165 24772.0 308
"44895" 3247172 25439.0 315 3247171 25439.0 314
"44895" 3247177 26492.7 320 3247176 26492.7 319
"44895" 3247184 27647.9 327 3247183 27647.9 326
"44895" 3247198 28868.3 341 3247197 28868.3 340
"44895" 3247211 29623.2 354 3247210 29623.2 353
"44895" 3247223 31263.6 366 3247222 31263.6 365
"44895" 3247232 34317.6 375 3247231 34317.6 374
"44895" 3247279 39647.9 422 3247278 39647.9 421
"44898" 3248084 1807.0 30 3248083 1807.0 29
"44898" 3248114 3452.5 60 3248113 3452.5 59
"44898" 3248131 4217.0 77 3248130 4217.0 76
"44898" 3248146 5516.2 92 3248145 5516.2 91
"44898" 3248176 7228.2 122 3248175 7228.2 121
"44898" 3248186 7795.1 132 3248185 7795.1 131
"44898" 3248218 9412.6 164 3248217 9412.6 163
expired_calendar WARNING 60

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 60 affected records are displayed below.

csvRowNumber (?) The row of the faulty record. serviceId (?) The service id of the faulty record.
7369 "17222"
6336 "31530"
6 "1076"
5239 "17343"
2062 "2499"
23 "43774"
1029 "1256"
4206 "1294"
7370 "24602"
6351 "48594"
2 "1339"
2059 "2685"
7367 "12709"
3146 "1379"
4232 "2737"
5231 "2766"
1043 "60347"
8 "1461"
5244 "47502"
7358 "678"
6331 "2814"
4236 "2849"
4237 "2852"
5233 "2850"
3161 "2980"
5232 "2975"
2060 "2974"
6330 "2972"
4205 "973"
5262 "60928"
5258 "60959"
4248 "47985"
7363 "1954"
2083 "60890"
7365 "3000"
2061 "3012"
6338 "20239"
7371 "20237"
7372 "13033"
1034 "13105"
11 "2009"
13 "2022"
5250 "48071"
26 "48073"
5248 "48062"
3159 "2111"
5230 "2123"
4226 "2137"
2053 "2158"
2056 "2175"
fast_travel_between_consecutive_stops WARNING 2

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.
12349 "8093432" "17272" 196.9887428340989 3.283145713901648 246739 17 "99227" "Krekenava" "14:03:00" 246740 18 "99243" "Rabikiai" "14:03:00"
2300 "8091136" "17220" 196.9887428340989 3.283145713901648 227974 17 "98468" "Krekenava" "14:03:00" 227975 18 "98476" "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.
525 "2699" "7597150"
526 "2699" "7597151"
527 "2699" "7597153"
528 "2699" "7597154"
536 "2699" "7597125"
544 "2699" "7597155"
545 "2699" "7597156"
546 "2699" "7597157"
547 "2699" "7597158"
548 "2699" "7597159"
549 "2699" "7597160"
550 "2699" "7597161"
556 "2699" "7597162"
557 "2699" "7597163"
564 "2699" "7597164"
567 "2699" "7597165"
568 "2699" "7597166"
569 "2699" "7597167"
599 "2699" "7597142"
600 "2699" "7597143"
601 "2699" "7597144"
602 "2699" "7597145"
603 "2699" "7597146"
620 "2699" "7597147"
632 "2699" "7597148"
633 "2699" "7597149"
3417 "2699" "7597169"
7699 "2699" "7597126"
7700 "2699" "7597127"
10040 "2699" "7597174"
10041 "2699" "7597180"
10044 "2699" "7597181"
10045 "2699" "7597175"
10046 "2699" "7597176"
10047 "2699" "7597177"
10048 "2699" "7597178"
10104 "2699" "7597128"
10105 "2699" "7597129"
10106 "2699" "7597130"
10107 "2699" "7597131"
10108 "2699" "7597132"
10130 "2699" "7597182"
10131 "2699" "7597183"
10132 "2699" "7597184"
10133 "2699" "7597185"
10182 "2699" "7597133"
10183 "2699" "7597134"
10184 "2699" "7597135"
10185 "2699" "7597136"
10186 "2699" "7597137"
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 "41979" 1
3 "41979" 2
4 "41979" 3
5 "41979" 4
6 "41980" 1
7 "41980" 2
8 "41980" 3
9 "41980" 4
10 "41981" 1
11 "41981" 2
12 "41981" 3
13 "41981" 4
14 "41982" 1
15 "41982" 2
16 "41982" 3
17 "41982" 4
18 "42101" 1
19 "42101" 2
20 "42101" 4
21 "42101" 5
22 "42101" 6
23 "42103" 1
24 "42103" 2
25 "42103" 4
26 "42103" 5
27 "42103" 6
28 "42105" 1
29 "42105" 2
30 "42105" 4
31 "42105" 5
32 "42203" 1
33 "42203" 2
34 "42203" 3
35 "42203" 4
36 "42203" 5
37 "42203" 6
38 "42203" 7
39 "42203" 8
40 "42203" 9
41 "42203" 10
42 "42203" 11
43 "42203" 12
44 "42203" 13
45 "42203" 14
46 "42203" 15
47 "42203" 16
48 "42203" 17
49 "42203" 18
50 "42203" 19
51 "42206" 1
mixed_case_recommended_field WARNING 329

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 329 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\"" 39
"routes.txt" "route_short_name" "1A_VLP" 195
"routes.txt" "route_short_name" "523_VLP" 197
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS, KANDRĖNUS, LAIČIUS" 261
"routes.txt" "route_short_name" "518_VLP" 311
"routes.txt" "route_short_name" "2_VLP" 385
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 532
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER KANDRĖNUS, LAIČIUS" 565
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 757
"routes.txt" "route_short_name" "2A_VLP" 891
"routes.txt" "route_long_name" "KUPIŠKIS - ANTAŠAVA" 962
"routes.txt" "route_long_name" "KUPIŠKIS – ŠIMONYS PER MIGONIS" 1054
"routes.txt" "route_short_name" "1_VLP" 1055
"routes.txt" "route_long_name" "KUPIŠKIS – PANEVĖŽYS" 1154
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS" 1176
"routes.txt" "route_long_name" "ŽELVA - KIAUKLIAI" 1232
"routes.txt" "route_short_name" "4_VLP" 1238
"routes.txt" "route_short_name" "787_VLP" 1240
"routes.txt" "route_short_name" "5_VLP" 1241
"routes.txt" "route_short_name" "3_VLP" 1245
"routes.txt" "route_long_name" "KUPIŠKIS – LAIČIAI PER KANDRĖNUS, SKAPIŠKIO MSTL." 1267
"routes.txt" "route_long_name" "UKMERGĖ- MIŠNIŪNAI PER LIAUŠIUS" 1272
"routes.txt" "route_long_name" "KUPIŠKIS – VAINIŪNIŠKIS (PER PALĖVENĖLĘ) – KUPIŠKIS" 1301
"routes.txt" "route_long_name" "KUPIŠKIS – ALIZAVA PER PALĖVENĖLĘ – KUPIŠKIS" 1332
"routes.txt" "route_long_name" "KUPIŠKIS – SUBAČIAUS MST. PER LUKONIS" 1363
"stops.txt" "stop_name" "2-asis fortas" 185
"stops.txt" "stop_name" "9-ojo forto muziejus" 691
"stops.txt" "stop_name" "7-asis kilometras A" 826
"stops.txt" "stop_name" "140 km" 1063
"stops.txt" "stop_name" "VDU klasikinio ugdymo licėjus B" 1588
"stops.txt" "stop_name" "4-asis fortas B" 1627
"stops.txt" "stop_name" "VDU klasikinio ugdymo licėjus A" 1651
"stops.txt" "stop_name" "žieda" 1759
"stops.txt" "stop_name" "3-ieji sodininkai" 1855
"stops.txt" "stop_name" "9 kilometras" 1962
"stops.txt" "stop_name" "9 kilometras" 1963
"stops.txt" "stop_name" "16-sis kilometras" 1986
"stops.txt" "stop_name" "40 km" 2013
"stops.txt" "stop_name" "1-ojo forto g." 2376
"stops.txt" "stop_name" "19-as kilometras" 2400
"stops.txt" "stop_name" "HARJU ELEKTER UAB" 2755
"stops.txt" "stop_name" "KTU inžinerijos licėjus B" 3261
"stops.txt" "stop_name" "140 km" 3274
"stops.txt" "stop_name" "32 kilometras" 3596
"stops.txt" "stop_name" "40 km" 3604
"stops.txt" "stop_name" "9-ojo forto muziejus" 3804
"stops.txt" "stop_name" "19-as kilometras" 3893
"stops.txt" "stop_name" "III km." 4382
"stops.txt" "stop_name" "III km." 4425
"stops.txt" "stop_name" "kulniškiai" 4703
stop_too_far_from_shape WARNING 50

stop_too_far_from_shape

Stop too far from trip shape.

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

You can see more about this notice here.

tripCsvRowNumber (?) The row number of the faulty record from `trips.txt`. shapeId (?) The id of the shape that is referred to. tripId (?) The id of the trip that is referred to. stopTimeCsvRowNumber (?) The row number of the faulty record from `stop_times.txt`. stopId (?) The id of the stop that is referred to. stopName (?) The name of the stop that is referred to. match (?) Latitude and longitude pair of the location. geoDistanceToShape (?) Distance from stop to shape.
16849 "3636" "45756" 3497 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
16850 "3651" "45771" 3526 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
16486 "3653" "45773" 3527 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
22256 "43544" "8124133" 399460 "9340" "Mokykla" [55.512857000000004,26.315831] 134.01174852768767
22261 "43548" "8124139" 399498 "8484" "Mokykla" [55.513561,26.317414] 128.25393944619788
9920 "26974" "7317010" 37331 "14216" "Glaudžiai" [55.90637400000001,21.877556999999996] 1731.1842381583824
9920 "26974" "7317010" 37332 "10163" "Glaudžiai I" [55.90637400000001,21.877556999999996] 935.5388323636666
9920 "26974" "7317010" 37347 "19491" "Plungės autobusų stotis" [55.918779,21.851513000000004] 152.03315218543798
2175 "29329" "7418310" 45030 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
13987 "29328" "7418309" 45007 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
5229 "37814" "7870743" 78303 "91339" "Sūduva" [54.57502093577935,23.37188570151982] 108.83359346294479
4030 "18654" "3218451" 22799 "67434" "Geluva" [55.249732,23.511073] 140.46827403515317
8507 "32206" "7476583" 50943 "48065" "Troškūnų g." [55.521214350005486,25.097709664383384] 523.8519190658676
8507 "32206" "7476583" 50944 "48066" "Geležinkelio stotis" [55.526276,25.103853] 785.72734673045
8507 "32206" "7476583" 50945 "48068" "Kalno parduotuvė" [55.526598,25.099623999999995] 574.8082135251354
8507 "32206" "7476583" 50948 "48071" "Pušyno mikrorajonas" [55.521132,25.115296] 658.3695095777266
8507 "32206" "7476583" 50953 "48070" "Žiburio g." [55.525912999999996,25.113931000000004] 146.43308427108235
16530 "3899" "46086" 3635 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
16818 "3014" "43694" 2660 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
17295 "37872" "7870674" 76907 "91654" "Kūlokai" [54.450829999999996,23.395002] 3378.2526672161835
11582 "29420" "7429613" 45585 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
16837 "4529" "46899" 4305 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
16846 "4527" "47691" 5336 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
16810 "4528" "47692" 5337 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
6696 "14622" "7150733" 36420 "14754" "Naiviai" [55.84397975379556,25.145549112350125] 765.6219655883444
16828 "2821" "45017" 3421 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
6919 "29615" "7432118" 46073 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
13243 "29616" "7432119" 46121 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
723 "21886" "8128860" 401777 "5846" "Grūtas" [54.032271447911626,24.074587772943918] 103.01117636409927
778 "21885" "8128758" 400200 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
7515 "21887" "8128791" 400722 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
646 "21891" "8128924" 402784 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
1240 "21865" "8128916" 402631 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
972 "21872" "8128779" 400500 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
17157 "3339" "46943" 4306 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
864 "28460" "7340051" 40153 "8316" "Tirkšlių paviljonas" [56.262579012838884,22.304642653254728] 376.76730742519857
6725 "11705" "747606" 14963 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
6113 "6511" "54507" 8774 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
5867 "6509" "54501" 8720 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
6115 "6513" "54509" 8798 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
3929 "29093" "7413976" 42807 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
3928 "29092" "7413975" 42777 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
6857 "5232" "56646" 8900 "14684" "Lieplaukalė" [55.9354974471734,21.831098374058865] 152.04079667279404
16829 "3514" "45563" 3444 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
16484 "3537" "45591" 3469 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
4746 "17131" "2515700" 21068 "16347" "Sudervė" [54.761036,25.063001999999997] 2603.225038082936
16531 "3574" "45644" 3470 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
16843 "3617" "45754" 3496 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
3852 "15331" "2211799" 17832 "6964" "Mikieriai" [55.66300100000001,25.169295] 153.6142678364674
11183 "15330" "2211797" 17819 "6964" "Mikieriai" [55.66300100000001,25.169295] 153.6142678364674
stops_match_shape_out_of_order WARNING 14

stops_match_shape_out_of_order

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

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

You can see more about this notice here.

tripCsvRowNumber (?) The row number of the faulty record from `trips.txt`. shapeId (?) The id of the shape that is referred to. tripId (?) The id of the trip that is referred to. stopTimeCsvRowNumber1 (?) The row number of the first faulty record from `stop_times.txt`. stopId1 (?) The id of the first stop that is referred to. stopName1 (?) The name of the first stop that is referred to. match1 (?) Latitude and longitude pair of the first matching location. stopTimeCsvRowNumber2 (?) The row number of the second faulty record from `stop_times.txt`. stopId2 (?) The id of the second stop that is referred to. stopName2 (?) The name of the second stop that is referred to. match2 (?) Latitude and longitude pair of the second matching location.
7671 "29269" "7429480" 45081 "22015" "Graužiečiai" [55.224458,24.844213] 45080 "21701" "Vaisgeliškiai" [55.21389948434742,24.843246782879064]
6603 "3645" "57657" 10915 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 10914 "12152" "Jonaičiai" [55.34641499999999,21.570023]
6576 "3667" "57730" 11054 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 11053 "13926" "Jonaičiai" [55.346103,21.568929]
6126 "3714" "57735" 11112 "13926" "Jonaičiai" [55.346103,21.568929] 11111 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
16758 "13808" "1228372" 16694 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 16693 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
6251 "17480" "2657524" 21482 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 21481 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
13742 "28435" "7339430" 40088 "64819" "Suostas" [56.32837413018391,24.713657886432735] 40087 "16112" "Svydžiai" [56.352930797976754,24.686322368913352]
13740 "28434" "7339429" 40064 "10057" "Svydžiai" [56.35334128457164,24.685572701413516] 40063 "64820" "Suostas" [56.32837775901334,24.713656830174433]
6573 "6591" "57635" 10575 "13926" "Jonaičiai" [55.346103,21.568929] 10574 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
6120 "3554" "57640" 10653 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 10652 "12152" "Jonaičiai" [55.34641499999999,21.570023]
8931 "29102" "7413991" 42901 "71231" "Žuvintai" [54.448579423202126,23.62330650767253] 42900 "71255" "Litvanciškai" [54.41436513808293,23.67340583550103]
10039 "40377" "8016002" 110128 "72301" "Kirlikai" [55.32834500402225,21.565359093761266] 110127 "97223" "Tarvydai I" [55.328604,21.56423]
7770 "40378" "8016003" 110137 "71683" "Tarvydai II" [55.31814711876975,21.598011981975805] 110136 "97223" "Tarvydai I" [55.328604,21.56423]
6830 "5353" "57618" 10403 "13926" "Jonaičiai" [55.346103,21.568929] 10402 "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