GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2025-11-24T07:58:11+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: 1379
  • Shapes: 3742
  • Stops: 13551
  • Trips: 22828

Specification Compliance report

117068 notices reported (0 errors, 117035 warnings, 33 infos)

Notice Code Severity Total
duplicate_route_name WARNING 42

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`.
43 "17919" 67 "17922" "M-161" "Kaunas-Raudondvaris-Netoniai- Kulautuva" 3 "14"
66 "17910" 123 "17907" "M-120" "Kaunas-Karmėlavos kapinės" 3 "14"
52 "17961" 215 "17959" "M-198" "Kaunas - Vandžiogala - Boniškiai" 3 "14"
191 "17912" 374 "17914" "M-101" "Kauno pilis-Linkuvos g.-Giraitė-Ledos kapinės" 3 "14"
375 "17953" 376 "17956" "M-148" "Kaunas-Domeikava-SB\"Didžiosios Lapės\"" 3 "14"
312 "17929" 383 "17932" "M-101A" "Kauno pilis-Linkuvos g.-Šilainiai-Užliedžiai" 3 "14"
373 "17902" 384 "17908" "M-150" "Kaunas-Ramučiai-Karmėlava-Salupiai-SB\"Inkaras\"" 3 "14"
216 "17899" 396 "17896" "M-180A" "Kaunas-Akademija-Bajorai-Girininkų miškas" 3 "14"
130 "17944" 496 "17941" "M-108" "Kaunas-Ireniškiai-Seniava" 3 "14"
44 "17935" 548 "17934" "M-106" "Kaunas-Jonučiai-Garliava-Jurginiškiai" 3 "14"
425 "17927" 580 "17915" "M-135" "Kaunas - Rokai - Girininkai" 3 "14"
332 "17891" 654 "17893" "M-163" "Kaunas-Babtai-Labūnava" 3 "14"
520 "17965" 683 "17963" "M-120" "Karmėlava-Ramučiai" 3 "14"
546 "17913" 705 "17906" "M-157" "Kaunas-Kačerginė-Zapyškis-Ežerėlis" 3 "14"
42 "17930" 707 "17933" "M-199" "Kaunas-Voškoniai-Vandžiogala-Labūnava" 3 "14"
394 "17921" 724 "17918" "M-159" "Kaunas-Mastaičiai-Pažėrai-SB\"Aronija\"-Smėlio g." 3 "14"
817 "17936" 820 "17931" "M-154" "Čekiškė - Daugėliškiai - Vilkija - Kaunas" 3 "14"
39 "17964" 876 "17966" "M-166" "Kaunas-Raudondvario pl.-Ringaudai-Tabariškiai" 3 "14"
41 "17940" 877 "17937" "M-172" "Kaunas-Margininkai-Piliuona-Pakuonis" 3 "14"
196 "17925" 880 "17900" "M-179" "Kaunas-Vaišvydava-Viršužiglis-Arlaviškės" 3 "14"
497 "17943" 897 "17945" "M-181" "Kaunas-Noreikiškės-Ringaudai-Tabariškiai-Gelžkeliuko g." 3 "14"
743 "17946" 915 "17939" "M-166" "Kaunas-Kačerginė-Zapyškis-Šėtijų stotelė" 3 "14"
742 "16052" 973 "6212" "M23" "Alytus - Punia - Butrimonys - Eigirdonys" 3 "48"
653 "17949" 983 "17950" "M-197" "Kaunas-Babtai-Panevėžiukas (SB\"Vija\")" 3 "14"
657 "17952" 987 "17954" "M-153" "Kaunas-Vilkija-Liučiūnai-Čekiškė" 3 "14"
990 "17928" 991 "17924" "M-168" "Kaunas-Linkuvos g.-Užliedžiai-Babtai-Vosiškiai" 3 "14"
581 "17955" 1095 "17951" "M-103" "Kauno pilis-SB\"Lokomotyvas\"-Babtai" 3 "14"
125 "17917" 1097 "17920" "M-146" "Kaunas-Žiegždriai" 3 "14"
493 "17958" 1098 "17903" "M-140" "Kauno pilis-Garliava-Mastaičiai-Kampiškiai" 3 "14"
1070 "17948" 1162 "17947" "M-167" "Kaunas-Raudondvaris-Padauguva-Vilkija" 3 "14"
997 "17969" 1167 "17968" "M-168" "Vosiškiai-Babtai" 3 "14"
845 "17962" 1189 "17967" "M-151" "Kaunas-Ramučiai" 3 "14"
879 "17897" 1220 "17904" "M-156" "Kaunas - Neveronys" 3 "14"
701 "17916" 1221 "17923" "M-170" "Kaunas-Vilkija-Purviškiai-Čekiškė" 3 "14"
545 "17942" 1223 "17938" "M-165" "Kaunas-Kačerginė-Zapyškis-Lekėčiai" 3 "14"
378 "17895" 1227 "17894" "M-189" "Kaunas - Drąseikiai - Batėgala" 3 "14"
706 "17957" 1228 "17960" "M-104" "Kaunas-Ražiškiai-Karkazai-Kreidos g.-Seniava" 3 "14"
1048 "17909" 1230 "17911" "M-149" "Kaunas-Vaišvydava-Gervėnupis" 3 "14"
1056 "17890" 1249 "17892" "M-180" "Kaunas-Ringaudai-Tabariškiai-Girininkai" 3 "14"
435 "3645" 1288 "8681" "144" "Vilnius (Žalgirio stotelė) – Nemenčinė per Pikeliškes" 3 "53"
311 "17905" 1347 "17901" "M-194" "Kauno pilis-Garliava-Linksmakalnis" 3 "14"
663 "17898" 1358 "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" 3286056 57850.1 335 3286055 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" 2287628 71509.2 1569 2287627 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 12269

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 12269 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" 3242778 438.6 15 3242777 438.6 14
"44896" 3242801 1566.5 38 3242800 1566.5 37
"44896" 3242819 3424.7 56 3242818 3424.7 55
"44896" 3242832 4360.3 69 3242831 4360.3 68
"44896" 3242841 5048.7 78 3242840 5048.7 77
"44896" 3242848 5468.8 85 3242847 5468.8 84
"44896" 3242854 6033.3 91 3242853 6033.3 90
"44896" 3242875 6752.8 112 3242874 6752.8 111
"44896" 3242913 8357.7 150 3242912 8357.7 149
"44896" 3242923 8989.2 160 3242922 8989.2 159
"44896" 3242949 10607.0 186 3242948 10607.0 185
"44896" 3242974 12062.0 211 3242973 12062.0 210
"44896" 3242986 12815.7 223 3242985 12815.7 222
"44896" 3243020 14900.7 257 3243019 14900.7 256
"44896" 3243034 16282.0 271 3243033 16282.0 270
"44895" 3242318 1807.0 30 3242317 1807.0 29
"44895" 3242348 3452.5 60 3242347 3452.5 59
"44895" 3242365 4217.0 77 3242364 4217.0 76
"44895" 3242380 5516.2 92 3242379 5516.2 91
"44895" 3242410 7228.2 122 3242409 7228.2 121
"44895" 3242420 7795.1 132 3242419 7795.1 131
"44895" 3242452 9412.6 164 3242451 9412.6 163
"44895" 3242457 10092.5 169 3242456 10092.5 168
"44895" 3242465 10723.8 177 3242464 10723.8 176
"44895" 3242471 11155.6 183 3242470 11155.6 182
"44895" 3242480 11778.2 192 3242479 11778.2 191
"44895" 3242493 12601.7 205 3242492 12601.7 204
"44895" 3242512 14623.9 224 3242511 14623.9 223
"44895" 3242530 15739.3 242 3242529 15739.3 241
"44895" 3242544 16957.1 256 3242543 16957.1 255
"44895" 3242565 19706.2 277 3242564 19706.2 276
"44895" 3242576 21159.8 288 3242575 21159.8 287
"44895" 3242586 22748.3 298 3242585 22748.3 297
"44895" 3242590 23441.0 302 3242589 23441.0 301
"44895" 3242597 24772.0 309 3242596 24772.0 308
"44895" 3242603 25439.0 315 3242602 25439.0 314
"44895" 3242608 26492.7 320 3242607 26492.7 319
"44895" 3242615 27647.9 327 3242614 27647.9 326
"44895" 3242629 28868.3 341 3242628 28868.3 340
"44895" 3242642 29623.2 354 3242641 29623.2 353
"44895" 3242654 31263.6 366 3242653 31263.6 365
"44895" 3242663 34317.6 375 3242662 34317.6 374
"44895" 3242710 39647.9 422 3242709 39647.9 421
"44898" 3243515 1807.0 30 3243514 1807.0 29
"44898" 3243545 3452.5 60 3243544 3452.5 59
"44898" 3243562 4217.0 77 3243561 4217.0 76
"44898" 3243577 5516.2 92 3243576 5516.2 91
"44898" 3243607 7228.2 122 3243606 7228.2 121
"44898" 3243617 7795.1 132 3243616 7795.1 131
"44898" 3243649 9412.6 164 3243648 9412.6 163
expired_calendar WARNING 61

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 61 affected records are displayed below.

csvRowNumber (?) The row of the faulty record. serviceId (?) The service id of the faulty record.
7563 "17222"
6509 "31530"
6 "1076"
5389 "17343"
2126 "2499"
23 "43774"
1068 "1256"
4325 "1294"
7564 "24602"
6524 "48594"
2 "1339"
2123 "2685"
7561 "12709"
3247 "1379"
4351 "2737"
5381 "2766"
1082 "60347"
8 "1461"
5394 "47502"
7552 "678"
6504 "2814"
4355 "2849"
4356 "2852"
5383 "2850"
3262 "2980"
5382 "2975"
2124 "2974"
6503 "2972"
4324 "973"
5412 "60928"
5408 "60959"
4367 "47985"
7557 "1954"
2147 "60890"
7559 "3000"
2125 "3012"
6511 "20239"
7565 "20237"
7566 "13033"
1073 "13105"
11 "2009"
13 "2022"
5400 "48071"
26 "48073"
5398 "48062"
3260 "2111"
5380 "2123"
4345 "2137"
2117 "2158"
2120 "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.
8373 "8093432" "17272" 196.9887428340989 3.283145713901648 246739 17 "99227" "Krekenava" "14:03:00" 246740 18 "99243" "Rabikiai" "14:03:00"
9673 "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.
1172 "2699" "7597169"
5987 "2699" "7597182"
5988 "2699" "7597183"
5989 "2699" "7597184"
5990 "2699" "7597185"
6002 "2699" "7597186"
6003 "2699" "7597187"
6004 "2699" "7597188"
6007 "2699" "7597189"
6037 "2699" "7597174"
6038 "2699" "7597180"
6041 "2699" "7597181"
6042 "2699" "7597175"
6043 "2699" "7597176"
6044 "2699" "7597177"
6045 "2699" "7597178"
6311 "2699" "7597021"
18526 "2699" "7597128"
18527 "2699" "7597129"
18528 "2699" "7597130"
18529 "2699" "7597131"
18590 "2699" "7597132"
18620 "2699" "7597125"
18622 "2699" "7597126"
18623 "2699" "7597127"
18679 "2699" "7597133"
18680 "2699" "7597134"
18681 "2699" "7597135"
18682 "2699" "7597136"
18683 "2699" "7597137"
18684 "2699" "7597138"
18685 "2699" "7597139"
18750 "2699" "7597140"
18751 "2699" "7597141"
18752 "2699" "7597142"
18753 "2699" "7597143"
18754 "2699" "7597144"
18755 "2699" "7597145"
18756 "2699" "7597146"
18811 "2699" "7597190"
18812 "2699" "7597191"
18813 "2699" "7597192"
18814 "2699" "7597193"
18815 "2699" "7597194"
18816 "2699" "7597195"
18818 "2699" "7597196"
18819 "2699" "7597197"
18820 "2699" "7597198"
18870 "2699" "7597147"
18889 "2699" "7597199"
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_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS, KANDRĖNUS, LAIČIUS" 247
"routes.txt" "route_short_name" "1A_VLP" 253
"routes.txt" "route_short_name" "523_VLP" 261
"routes.txt" "route_short_name" "518_VLP" 277
"routes.txt" "route_short_name" "2_VLP" 436
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 619
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER KANDRĖNUS, LAIČIUS" 636
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 748
"routes.txt" "route_long_name" "KUPIŠKIS - ANTAŠAVA" 871
"routes.txt" "route_short_name" "2A_VLP" 930
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS" 1088
"routes.txt" "route_long_name" "KUPIŠKIS – ŠIMONYS PER MIGONIS" 1102
"routes.txt" "route_short_name" "1_VLP" 1105
"routes.txt" "route_long_name" "KUPIŠKIS – PANEVĖŽYS" 1193
"routes.txt" "route_long_name" "KUPIŠKIS – LAIČIAI PER KANDRĖNUS, SKAPIŠKIO MSTL." 1215
"routes.txt" "route_long_name" "UKMERGĖ- MIŠNIŪNAI PER LIAUŠIUS" 1216
"routes.txt" "route_long_name" "ŽELVA - KIAUKLIAI" 1236
"routes.txt" "route_long_name" "KUPIŠKIS – VAINIŪNIŠKIS (PER PALĖVENĖLĘ) – KUPIŠKIS" 1237
"routes.txt" "route_long_name" "KUPIŠKIS – ALIZAVA PER PALĖVENĖLĘ – KUPIŠKIS" 1241
"routes.txt" "route_long_name" "KUPIŠKIS – SUBAČIAUS MST. PER LUKONIS" 1256
"routes.txt" "route_short_name" "5_VLP" 1289
"routes.txt" "route_short_name" "4_VLP" 1291
"routes.txt" "route_short_name" "3_VLP" 1295
"routes.txt" "route_short_name" "787_VLP" 1298
"stops.txt" "stop_name" "VDU klasikinio ugdymo licėjus B" 171
"stops.txt" "stop_name" "4-asis fortas B" 188
"stops.txt" "stop_name" "VDU klasikinio ugdymo licėjus A" 201
"stops.txt" "stop_name" "9-ojo forto muziejus" 242
"stops.txt" "stop_name" "140 km" 331
"stops.txt" "stop_name" "7-asis kilometras A" 458
"stops.txt" "stop_name" "2-asis fortas" 1135
"stops.txt" "stop_name" "KTU inžinerijos licėjus B" 1893
"stops.txt" "stop_name" "3-ieji sodininkai" 1914
"stops.txt" "stop_name" "1-ojo forto g." 1942
"stops.txt" "stop_name" "19-as kilometras" 1949
"stops.txt" "stop_name" "40 km" 2280
"stops.txt" "stop_name" "9 kilometras" 2287
"stops.txt" "stop_name" "9 kilometras" 2288
"stops.txt" "stop_name" "žieda" 2354
"stops.txt" "stop_name" "16-sis kilometras" 2363
"stops.txt" "stop_name" "HARJU ELEKTER UAB" 2498
"stops.txt" "stop_name" "140 km" 3273
"stops.txt" "stop_name" "19-as kilometras" 3518
"stops.txt" "stop_name" "9-ojo forto muziejus" 3578
"stops.txt" "stop_name" "kulniškiai" 3736
"stops.txt" "stop_name" "32 kilometras" 3886
"stops.txt" "stop_name" "40 km" 3950
"stops.txt" "stop_name" "III km." 4117
"stops.txt" "stop_name" "III km." 4173
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.
4522 "3636" "45756" 3497 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
4523 "3651" "45771" 3526 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
4394 "3653" "45773" 3527 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
21592 "43544" "8124133" 399460 "9340" "Mokykla" [55.512857000000004,26.315831] 134.01174852768767
21597 "43548" "8124139" 399498 "8484" "Mokykla" [55.513561,26.317414] 128.25393944619788
4926 "26974" "7317012" 37365 "14216" "Glaudžiai" [55.90637400000001,21.877556999999996] 1731.1842381583824
4926 "26974" "7317012" 37366 "10163" "Glaudžiai I" [55.90637400000001,21.877556999999996] 935.5388323636666
4926 "26974" "7317012" 37381 "19491" "Plungės autobusų stotis" [55.918779,21.851513000000004] 152.03315218543798
9194 "29329" "7418310" 45030 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
12264 "29328" "7418309" 45007 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
14152 "37814" "7870743" 78303 "91339" "Sūduva" [54.57502093577935,23.37188570151982] 108.83359346294479
12206 "18654" "3218451" 22799 "67434" "Geluva" [55.249732,23.511073] 140.46827403515317
10144 "32206" "7476583" 50943 "48065" "Troškūnų g." [55.521214350005486,25.097709664383384] 523.8519190658676
10144 "32206" "7476583" 50944 "48066" "Geležinkelio stotis" [55.526276,25.103853] 785.72734673045
10144 "32206" "7476583" 50945 "48068" "Kalno parduotuvė" [55.526598,25.099623999999995] 574.8082135251354
10144 "32206" "7476583" 50948 "48071" "Pušyno mikrorajonas" [55.521132,25.115296] 658.3695095777266
10144 "32206" "7476583" 50953 "48070" "Žiburio g." [55.525912999999996,25.113931000000004] 146.43308427108235
4438 "3899" "46086" 3635 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
4491 "3014" "43694" 2660 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
2019 "37872" "7870674" 76907 "91654" "Kūlokai" [54.450829999999996,23.395002] 3378.2526672161835
7429 "29420" "7429613" 45585 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
4510 "4529" "46899" 4305 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
4519 "4527" "47691" 5336 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
4483 "4528" "47692" 5337 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
12968 "14622" "7150732" 36405 "14754" "Naiviai" [55.84397975379556,25.145549112350125] 765.6219655883444
4501 "2821" "45017" 3421 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
15881 "29615" "7432118" 46073 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
9582 "29616" "7432119" 46121 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
13785 "21886" "7846786" 70798 "5846" "Grūtas" [54.032271447911626,24.074587772943918] 103.01117636409927
14000 "21885" "7846736" 70265 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
17087 "21887" "8128811" 401045 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
14799 "21891" "7846924" 72041 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
17081 "21865" "8128780" 400519 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
5433 "21872" "8128930" 402863 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
4590 "3339" "46943" 4306 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
17423 "28460" "7340047" 40100 "8316" "Tirkšlių paviljonas" [56.262579012838884,22.304642653254728] 376.76730742519857
14923 "11705" "747606" 14963 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
15536 "6511" "54507" 8774 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
15302 "6509" "54501" 8720 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
15538 "6513" "54509" 8798 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
13348 "29093" "7413976" 42807 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
13347 "29092" "7413975" 42777 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
4592 "5232" "48166" 5592 "14684" "Lieplaukalė" [55.9354974471734,21.831098374058865] 152.04079667279404
4502 "3514" "45563" 3444 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
4392 "3537" "45591" 3469 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
16509 "17131" "2515700" 21068 "16347" "Sudervė" [54.761036,25.063001999999997] 2603.225038082936
4439 "3574" "45644" 3470 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
4516 "3617" "45754" 3496 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
12549 "15331" "2211798" 17820 "6964" "Mikieriai" [55.66300100000001,25.169295] 153.6142678364674
12852 "15330" "2211796" 17807 "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.
17623 "29269" "7429480" 45081 "22015" "Graužiečiai" [55.224458,24.844213] 45080 "21701" "Vaisgeliškiai" [55.21389948434742,24.843246782879064]
16006 "3645" "57657" 10915 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 10914 "12152" "Jonaičiai" [55.34641499999999,21.570023]
15979 "3667" "57730" 11054 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 11053 "13926" "Jonaičiai" [55.346103,21.568929]
15549 "3714" "57735" 11112 "13926" "Jonaičiai" [55.346103,21.568929] 11111 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
358 "13808" "1228372" 16694 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 16693 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
14497 "17480" "2657524" 21482 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 21481 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
11651 "28435" "7339430" 40088 "64819" "Suostas" [56.32837413018391,24.713657886432735] 40087 "16112" "Svydžiai" [56.352930797976754,24.686322368913352]
11649 "28434" "7339429" 40064 "10057" "Svydžiai" [56.35334128457164,24.685572701413516] 40063 "64820" "Suostas" [56.32837775901334,24.713656830174433]
15976 "6591" "57635" 10575 "13926" "Jonaičiai" [55.346103,21.568929] 10574 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
15543 "3554" "57640" 10653 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 10652 "12152" "Jonaičiai" [55.34641499999999,21.570023]
10607 "29102" "7413991" 42901 "71231" "Žuvintai" [54.448579423202126,23.62330650767253] 42900 "71255" "Litvanciškai" [54.41436513808293,23.67340583550103]
6036 "40377" "8016002" 110128 "72301" "Kirlikai" [55.32834500402225,21.565359093761266] 110127 "97223" "Tarvydai I" [55.328604,21.56423]
3526 "40378" "8016003" 110137 "71683" "Tarvydai II" [55.31814711876975,21.598011981975805] 110136 "97223" "Tarvydai I" [55.328604,21.56423]
16260 "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