GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2026-05-01T06:07:46+03:00,
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: 51
  • Blocks: 0
  • Routes: 1571
  • Shapes: 3927
  • Stops: 14580
  • Trips: 21917

Specification Compliance report

124912 notices reported (0 errors, 124879 warnings, 33 infos)

Notice Code Severity Total
duplicate_route_name WARNING 44

duplicate_route_name

Two distinct routes have either the same route_short_name, the same route_long_name, or the same combination of route_short_name and route_long_name.

All routes of the same route_type with the same agency_id should have unique combinations of route_short_name and route_long_name.

Note that there may be valid cases where routes have the same short and long name, e.g., if they serve different areas. However, different directions must be modeled as the same route.

Example of bad data:

route_id route_short_name route_long_name
route1 U1 Southern
route2 U1 Southern

You can see more about this notice here.

csvRowNumber1 (?) The row number of the first occurrence. routeId1 (?) The id of the the first occurrence. csvRowNumber2 (?) The row number of the other occurrence. routeId2 (?) The id of the the other occurrence. routeShortName (?) Common `routes.route_short_name`. routeLongName (?) Common `routes.route_long_name`. routeTypeValue (?) Common `routes.route_type`. agencyId (?) Common `routes.agency_id`.
90 "20827" 198 "20773" "M-148" "Kaunas-Domeikava-SB\"Didžiosios Lapės\"" 3 "14"
92 "20843" 204 "20767" "M-104" "Kaunas-Ražiškiai-Karkazai-Kreidos g.-Seniava" 3 "14"
197 "20791" 279 "20858" "M-106" "Kaunas-Jonučiai-Garliava-Jurginiškiai" 3 "14"
286 "18329" 343 "6209" "M1" "Alytus - Geniai" 3 "48"
404 "20784" 486 "20840" "M-179" "Kaunas-Rokeliai-Viršužiglis-Arlaviškės" 3 "14"
6 "20778" 488 "20833" "M-166" "Kaunas-Raudondvario pl.-Ringaudai-Tabariškiai" 3 "14"
202 "20805" 489 "20828" "M-153" "Kaunas-Vilkija-Liučiūnai-Čekiškė" 3 "14"
405 "20795" 494 "20831" "M-197" "Kaunas-Babtai-Panevėžiukas (SB\"Vija\")" 3 "14"
277 "20846" 604 "20787" "M-180" "Kaunas-Aleksotas-Tabariškiai-Girininkai" 3 "14"
485 "20825" 607 "20801" "M-135" "Kaunas - Rokai - Girininkai" 3 "14"
605 "20771" 679 "20824" "M-161" "Kaunas-Raudondvaris-Netoniai- Kulautuva" 3 "14"
2 "20770" 680 "20838" "M-180A" "Kaunas-Akademija-Bajorai-Girininkų miškas" 3 "14"
606 "20790" 681 "20854" "M-149" "Kaunas-Rokeliai-Gervėnupis" 3 "14"
3 "20769" 682 "20832" "M-151(A)" "Kaunas-Urban HUB-LEZ-Kaunas" 3 "14"
91 "20839" 786 "20772" "M-101" "Kauno pilis-Giraitė-Ryto g.(Užliedžiai)" 3 "14"
276 "20851" 788 "20783" "M-189" "Kaunas - Drąseikiai - Batėgala" 3 "14"
100 "20847" 789 "20799" "M-166" "Kaunas-Kačerginė-Zapyškis-SB\"Baldininkas\"" 3 "14"
495 "20850" 853 "20788" "M-168" "Vosiškiai-Babtai" 3 "14"
203 "20789" 854 "20852" "M-172" "Kaunas-Margininkai-Piliuona-Pakuonis" 3 "14"
196 "20797" 855 "20835" "M-159" "Kaunas-Mastaičiai-Pažėrai-SB\"Aronija\"-Smėlio g." 3 "14"
487 "20834" 962 "20779" "M-103" "Kauno pilis-SB\"Lokomotyvas\"-Sitkūnai-Babtai" 3 "14"
289 "20829" 963 "20793" "M-198" "Kaunas - Vandžiogala - Boniškiai" 3 "14"
280 "20861" 965 "20785" "M-120" "Karmėlava-Ramučiai" 3 "14"
97 "20860" 966 "20775" "M-154" "Čekiškė - Daugėliškiai - Vilkija - Kaunas" 3 "14"
278 "20855" 970 "20794" "M-194" "Kauno pilis-Garliava-Linksmakalnis" 3 "14"
496 "20823" 971 "20800" "M-170" "Kaunas-Vilkija-Purviškiai-Čekiškė" 3 "14"
859 "16052" 1007 "6212" "M23" "Alytus - Punia - Butrimonys - Eigirdonys" 3 "48"
610 "20777" 1056 "20845" "M-140" "Kauno pilis-Garliava-Mastaičiai-Kampiškiai" 3 "14"
88 "20836" 1176 "20781" "M-156" "Kaunas - Neveronys" 3 "14"
89 "20826" 1178 "20782" "M-146" "Kaunas-Rokeliai-Žiegždriai" 3 "14"
1049 "20842" 1180 "20766" "M-150" "Kaunas-Ramučiai-Karmėlava-Salupiai-SB\"Inkaras\"" 3 "14"
287 "20853" 1181 "20804" "M-181" "Kaunas-Noreikiškės-Ringaudai-Tabariškiai-Gelžkeliuko g." 3 "14"
199 "20803" 1249 "20848" "M-165" "Kaunas-Kačerginė-Zapyškis-Lekėčiai" 3 "14"
968 "20802" 1250 "20849" "M-108" "Kaunas-Ireniškiai-Seniava" 3 "14"
852 "20798" 1251 "20857" "M-101A" "Kauno pilis-Šilainiai-Ledos g.(Užliedžiai)" 3 "14"
967 "20774" 1255 "20841" "M-120" "Kaunas-Karmėlavos kapinės" 3 "14"
107 "20865" 1262 "20866" "M-152" "Kauno g.-Poliklinika-Birštono seniūnija" 3 "58"
87 "20844" 1369 "20768" "M-157" "Kaunas-Kačerginė-Zapyškis-Ežerėlis" 3 "14"
856 "20830" 1370 "20776" "M-168" "Kaunas-Linkuvos g.-Užliedžiai-Babtai-Vosiškiai" 3 "14"
275 "20837" 1371 "20786" "M-167" "Kaunas-Raudondvaris-SB\"Vejuona\"-Padauguva-Vilkija" 3 "14"
1048 "20862" 1373 "20796" "M-199" "Kaunas-Voškoniai-Vandžiogala-Labūnava" 3 "14"
424 "3645" 1402 "8681" "144" "Vilnius (Žalgirio stotelė) – Nemenčinė per Pikeliškes" 3 "53"
1177 "20780" 1465 "20856" "M-163" "Kaunas-Babtai-Labūnava" 3 "14"
791 "20792" 1466 "20859" "M-151" "Kaunas-Ramučiai" 3 "14"
equal_shape_distance_diff_coordinates_distance_below_threshold WARNING 3902

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 3902 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" 449239 29882.7 878 449238 29882.7 877 0.12791084993239907
"2328" 360151 35929.8 642 360150 35929.8 641 0.11119510090982554
"3659" 444289 49657.5 1177 444288 49657.5 1176 0.12791084993239907
"42205" 3484537 57850.1 335 3484536 57850.1 334 0.06178544815632574
"2369" 348955 63265.5 1261 348954 63265.5 1260 0.11119510090982554
"2385" 553542 69168.3 1771 553541 69168.3 1770 0.06441976500794575
"28733" 2222847 71509.2 1569 2222846 71509.2 1568 0.06441976500794575
"1919" 696892 136875.8 2842 696891 136875.8 2841 0.12752942403551987
"1919" 696895 136876.0 2845 696894 136876.0 2844 0.11119510090982554
"1919" 696902 136876.5 2852 696901 136876.5 2851 0.11119510232447394
"1919" 696905 136876.7 2855 696904 136876.7 2854 0.11119510161714974
"1919" 696908 136876.9 2858 696907 136876.9 2857 0.12752941555597483
"1919" 696917 136877.5 2867 696916 136877.5 2866 0.11119510090982554
"1919" 696920 136877.7 2870 696919 136877.7 2869 0.11119510161714974
"1919" 696923 136877.9 2873 696922 136877.9 2872 0.11119510090982554
"1919" 696930 136878.4 2880 696929 136878.4 2879 0.11119510090982554
"1919" 696933 136878.6 2883 696932 136878.6 2882 0.11119510161714974
"1919" 696942 136879.2 2892 696941 136879.2 2891 0.11119510090982554
"1919" 696945 136879.4 2895 696944 136879.4 2894 0.12752939825777979
"1919" 696948 136879.6 2898 696947 136879.6 2897 0.11119510161714974
"1919" 696957 136880.2 2907 696956 136880.2 2906 0.11119510161714974
"1919" 696961 136880.5 2911 696960 136880.5 2910 0.06244513630731429
"1919" 696967 136880.9 2917 696966 136880.9 2916 0.11119510161714974
"1919" 696970 136881.1 2920 696969 136881.1 2919 0.11119510090982554
"1919" 696973 136881.3 2923 696972 136881.3 2922 0.11119510090982554
"1919" 696982 136881.9 2932 696981 136881.9 2931 0.12752938095958766
"1919" 696985 136882.1 2935 696984 136882.1 2934 0.11119510161714974
"1919" 696996 136882.8 2946 696995 136882.8 2945 0.11119510161714974
"1919" 697001 136883.1 2951 697000 136883.1 2950 0.11119510161714974
"1919" 697009 136883.6 2959 697008 136883.6 2958 0.11119510090982554
"1919" 697014 136883.9 2964 697013 136883.9 2963 0.11119510090982554
"1919" 697027 136884.7 2977 697026 136884.7 2976 0.11119510161714974
"1919" 697029 136884.8 2979 697028 136884.8 2978 0.11119510090982554
"1919" 697032 136885.0 2982 697031 136885.0 2981 0.11119510161714974
"1919" 697040 136885.5 2990 697039 136885.5 2989 0.1275293557985862
"1919" 697042 136885.6 2992 697041 136885.6 2991 0.11119510161714974
"1919" 697045 136885.8 2995 697044 136885.8 2994 0.11119510090982554
"1919" 697047 136885.9 2997 697046 136885.9 2996 0.11119510232447394
"1919" 697053 136886.3 3003 697052 136886.3 3002 0.06244505260741443
"1919" 697058 136886.6 3008 697057 136886.6 3007 0.11119510161714974
"1919" 697060 136886.7 3010 697059 136886.7 3009 0.11119510090982554
"1919" 697063 136886.9 3013 697062 136886.9 3012 0.11119510090982554
"1919" 697065 136887.0 3015 697064 136887.0 3014 0.11119510090982554
"1919" 697071 136887.4 3021 697070 136887.4 3020 0.11119510090982554
"1919" 697073 136887.5 3023 697072 136887.5 3022 0.11119510161714974
"1919" 697076 136887.7 3026 697075 136887.7 3025 0.11119510090982554
"1919" 697078 136887.8 3028 697077 136887.8 3027 0.11119510161714974
"1919" 697089 136888.5 3039 697088 136888.5 3038 0.11119510161714974
"1919" 697091 136888.6 3041 697090 136888.6 3040 0.11119510090982554
"1919" 697094 136888.8 3044 697093 136888.8 3043 0.11119510090982554
equal_shape_distance_same_coordinates WARNING 20362

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 20362 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" 3071783 350.5 28 3071782 350.5 27
"43541" 3071794 811.7 39 3071793 811.7 38
"43541" 3071833 1779.8 78 3071832 1779.8 77
"43541" 3071877 3184.3 122 3071876 3184.3 121
"43541" 3071910 4418.1 155 3071909 4418.1 154
"43541" 3071926 4854.6 171 3071925 4854.6 170
"43541" 3071975 6561.9 220 3071974 6561.9 219
"43541" 3072011 7544.1 256 3072010 7544.1 255
"43541" 3072050 8757.6 295 3072049 8757.6 294
"43541" 3072067 9358.6 312 3072066 9358.6 311
"43541" 3072094 9709.1 339 3072093 9709.1 338
"43541" 3072140 10376.7 385 3072139 10376.7 384
"43541" 3072193 11116.1 438 3072192 11116.1 437
"43541" 3072224 11700.4 469 3072223 11700.4 468
"43541" 3072255 12284.8 500 3072254 12284.8 499
"43541" 3072516 14358.7 761 3072515 14358.7 760
"43541" 3072592 14706.8 837 3072591 14706.8 836
"43541" 3072692 15301.6 937 3072691 15301.6 936
"43541" 3072792 15896.4 1037 3072791 15896.4 1036
"43541" 3072868 16244.5 1113 3072867 16244.5 1112
"43541" 3073066 17133.2 1311 3073065 17133.2 1310
"43541" 3073309 18161.9 1554 3073308 18161.9 1553
"43541" 3073334 18472.3 1579 3073333 18472.3 1578
"43541" 3073384 18976.3 1629 3073383 18976.3 1628
"43541" 3073531 19673.4 1776 3073530 19673.4 1775
"43541" 3073760 21285.9 2005 3073759 21285.9 2004
"43541" 3073836 22756.6 2081 3073835 22756.6 2080
"43541" 3073912 24227.3 2157 3073911 24227.3 2156
"43541" 3073951 24719.6 2196 3073950 24719.6 2195
"43541" 3073968 25292.2 2213 3073967 25292.2 2212
"43541" 3073987 25625.9 2232 3073986 25625.9 2231
"43541" 3074075 26736.7 2320 3074074 26736.7 2319
"43541" 3074162 27236.5 2407 3074161 27236.5 2406
"43541" 3074211 28436.1 2456 3074210 28436.1 2455
"43541" 3074250 28928.5 2495 3074249 28928.5 2494
"43541" 3074301 29639.4 2546 3074300 29639.4 2545
"43541" 3074532 30811.2 2777 3074531 30811.2 2776
"43541" 3074608 31159.3 2853 3074607 31159.3 2852
"43541" 3074708 31754.1 2953 3074707 31754.1 2952
"43541" 3074808 32348.9 3053 3074807 32348.9 3052
"43541" 3074884 32697.0 3129 3074883 32697.0 3128
"43541" 3075082 33585.6 3327 3075081 33585.6 3326
"43541" 3075366 35228.5 3611 3075365 35228.5 3610
"43541" 3075419 35967.9 3664 3075418 35967.9 3663
"43541" 3075450 36552.2 3695 3075449 36552.2 3694
"43541" 3075481 37136.6 3726 3075480 37136.6 3725
"43531" 2102702 1036.1 44 2102701 1036.1 43
"43531" 2102731 1669.1 73 2102730 1669.1 72
"43531" 2102758 2285.2 100 2102757 2285.2 99
"43531" 2102799 4091.8 141 2102798 4091.8 140
expired_calendar WARNING 66

expired_calendar

Dataset should not contain date ranges for services that have already expired.

This warning takes into account the calendar_dates.txt file as well as the calendar.txt file.

You can see more about this notice here.

Only the first 50 of 66 affected records are displayed below.

csvRowNumber (?) The row of the faulty record. serviceId (?) The service id of the faulty record.
6 "1076"
3434 "73341"
3390 "1256"
3386 "1271"
13880 "1294"
24086 "24601"
2 "1339"
24078 "12709"
10379 "1379"
9 "1461"
24072 "1954"
20645 "20239"
24081 "20237"
3407 "44517"
20148 "93563"
24080 "17222"
17302 "17343"
40 "76307"
20672 "76308"
41 "76309"
24082 "13033"
3399 "13105"
17331 "76816"
12 "2009"
14 "2022"
13898 "2066"
10392 "2111"
17293 "2123"
13900 "2137"
13938 "62494"
6839 "2158"
6842 "2175"
6844 "2173"
20630 "2206"
6845 "2205"
13902 "2218"
17291 "2217"
20633 "2216"
17287 "2213"
24071 "2224"
10395 "2285"
13915 "13743"
6849 "2499"
6846 "2685"
13906 "2737"
17294 "2766"
17306 "47502"
20637 "2814"
13910 "2849"
13911 "2852"
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.
3429 "21_APNV_416-45-3-250526-ab-1310" "17272" 196.9887428340989 3.283145713901648 100801 17 "99227" "Krekenava" "14:03:00" 100802 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.
2439 "2699" "7597158"
2562 "2699" "7597162"
2688 "2699" "7597154"
2856 "2699" "7597178"
2949 "2699" "7597149"
3073 "2699" "7597193"
3083 "2699" "7597175"
3706 "2699" "7597159"
16677 "2699" "7597135"
16682 "2699" "7597165"
16722 "2699" "7597130"
16745 "2699" "7597181"
16778 "2699" "7597150"
16963 "2699" "7597136"
17152 "2699" "7597128"
17175 "2699" "7597186"
17258 "2699" "7597141"
17282 "2699" "7597211"
17320 "2699" "7597208"
17369 "2699" "7597187"
17406 "2699" "7597155"
17451 "2699" "7597146"
17477 "2699" "7597182"
17599 "2699" "7597156"
17624 "2699" "7597209"
17761 "2699" "7597126"
17798 "2699" "7597138"
17851 "2699" "7597189"
17869 "2699" "7597195"
17895 "2699" "7597171"
18151 "2699" "7597132"
18466 "2699" "7597196"
18489 "2699" "7597144"
18553 "2699" "7597188"
18556 "2699" "7597203"
18565 "2699" "7597157"
18896 "2699" "7597127"
19053 "2699" "7597129"
19063 "2699" "7597153"
19155 "2699" "7597166"
19214 "2699" "7597160"
19277 "2699" "7597174"
19287 "2699" "7597139"
19399 "2699" "7597173"
19495 "2699" "7597177"
19555 "2699" "7597202"
19648 "2699" "7597180"
19652 "2699" "7597169"
19726 "2699" "7597183"
19924 "2699" "7597125"
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 324

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 324 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\"" 51
"routes.txt" "route_long_name" "ŠVENČIONYS-ŠUTONYS-ŠVENČIONYS" 21
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-JUODMENA-RIMKAI" 108
"routes.txt" "route_long_name" "JONAVA-KULVA" 109
"routes.txt" "route_long_name" "JONAVA-GAIŽIŪNŲ STOTIS" 110
"routes.txt" "route_short_name" "3_VLP" 111
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 112
"routes.txt" "route_long_name" "RIMKAI-SKARULIŲ KAPINĖS" 113
"routes.txt" "route_long_name" "JONAVA-PREIŠIOGALĖLĖ-ŽINĖNAI-JONAVA" 114
"routes.txt" "route_long_name" "JONAVA-KUIGALIAI PER NAUJASODĮ" 115
"routes.txt" "route_long_name" "ŽELVA - PUSNĖ" 263
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 300
"routes.txt" "route_long_name" "JONAVA-JUŠKONYS" 301
"routes.txt" "route_long_name" "JONAVA-RUKLA" 302
"routes.txt" "route_long_name" "JONAVA-KULVA PER JUODMENĄ" 303
"routes.txt" "route_short_name" "5_VLP" 305
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS, KANDRĖNUS, LAIČIUS" 306
"routes.txt" "route_long_name" "ŠVENČIONYS-PABRADĖ-VILNIUS-PABRADĖ-ŠVENČIONYS" 327
"routes.txt" "route_short_name" "40-DT" 393
"routes.txt" "route_short_name" "2_VLP" 503
"routes.txt" "route_long_name" "JONAVA-ŽINĖNAI-PREIŠIOGALĖLĖ-JONAVA" 504
"routes.txt" "route_short_name" "94AT" 596
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 639
"routes.txt" "route_long_name" "RIMKAI-MAXIMA-ŠVEICARIJA" 698
"routes.txt" "route_long_name" "JONAVA-KĖDAINIAI" 699
"routes.txt" "route_long_name" "JONAVA-ŠĖTA" 700
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI-BUKONYS-ŠILAI-JONAVA" 701
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER KANDRĖNUS, LAIČIUS" 715
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 756
"routes.txt" "route_short_name" "94-DC" 764
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 842
"routes.txt" "route_long_name" "JONAVA-ŽEIMIAI" 872
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI" 873
"routes.txt" "route_short_name" "4_VLP" 874
"routes.txt" "route_short_name" "70AC" 893
"routes.txt" "route_long_name" "ŠIRVINTOS - UKMERGĖ - ŠIRVINTOS" 1017
"routes.txt" "route_long_name" "JONAVA-BUKONYS" 1066
"routes.txt" "route_short_name" "1A_VLP" 1068
"routes.txt" "route_long_name" "JONAVA - PAGELEŽIAI" 1069
"routes.txt" "route_long_name" "KUPIŠKIS - ANTAŠAVA" 1084
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 1147
"routes.txt" "route_long_name" "ŽELVA - KIAUKLIAI" 1203
"routes.txt" "route_long_name" "ŠVENČIONYS-ADUTIŠKIS-JAKELIAI-ADUTIŠKIS-ŠVENČIONYS" 1208
"routes.txt" "route_long_name" "KUPIŠKIS – PANEVĖŽYS" 1220
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS" 1221
"routes.txt" "route_short_name" "2A_VLP" 1263
"routes.txt" "route_long_name" "KUPIŠKIS – ŠIMONYS PER MIGONIS" 1287
"routes.txt" "route_long_name" "PASVALYS-ŽILPAMŪŠIS PER TETIRVINUS" 1302
"routes.txt" "route_short_name" "50AB" 1343
"routes.txt" "route_long_name" "KUPIŠKIS – LAIČIAI PER KANDRĖNUS, SKAPIŠKIO MSTL." 1405
stop_too_far_from_shape WARNING 46

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.
17348 "3636" "45756" 2666 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
21202 "3651" "45771" 2695 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
2638 "3653" "45773" 2696 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
3105 "26974" "7317010" 40875 "14216" "Glaudžiai" [55.90637400000001,21.877556999999996] 1731.1842381583824
3105 "26974" "7317010" 40876 "10163" "Glaudžiai I" [55.90637400000001,21.877556999999996] 935.5388323636666
3105 "26974" "7317010" 40891 "19491" "Plungės autobusų stotis" [55.918779,21.851513000000004] 152.03315218543798
17607 "18654" "3218451" 27621 "67434" "Geluva" [55.249732,23.511073] 140.46827403515317
3097 "32206" "7476586" 51881 "48065" "Troškūnų g." [55.521214350005486,25.097709664383384] 523.8519190658676
3097 "32206" "7476586" 51882 "48066" "Geležinkelio stotis" [55.526276,25.103853] 785.72734673045
3097 "32206" "7476586" 51883 "48068" "Kalno parduotuvė" [55.526598,25.099623999999995] 574.8082135251354
3097 "32206" "7476586" 51886 "48071" "Pušyno mikrorajonas" [55.521132,25.115296] 658.3695095777266
3097 "32206" "7476586" 51891 "48070" "Žiburio g." [55.525912999999996,25.113931000000004] 146.43308427108235
19781 "3899" "46086" 2804 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
19371 "3014" "43694" 1918 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
17929 "29420" "7429613" 46960 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
20731 "4529" "46899" 3740 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
18738 "4527" "47691" 5254 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
18655 "4528" "47692" 5255 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
17631 "14622" "7150733" 39859 "14754" "Naiviai" [55.84397975379556,25.145549112350125] 765.6219655883444
21455 "2821" "45017" 2590 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
20875 "29615" "7432118" 47368 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
21398 "29616" "7432119" 47416 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
6631 "21886" "60_A4-01-6-241028-ba-0730" 286031 "5846" "Grūtas" [54.032271447911626,24.074587772943918] 103.01117636409927
448 "21885" "60_A2-02-1-241209-ab-1550" 71774 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
6646 "21887" "60_A2-01-7-060404-ab3-1430" 287241 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
6643 "21891" "60_A2-01-6-060404-ab2-0740" 285347 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
6959 "21865" "60_A2-01-7-060404-b3a-1150" 285655 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
6641 "21872" "60_A30-01-7-241028-b2a-1720" 287197 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
20096 "3339" "46943" 3741 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
17959 "4710" "47249" 4472 "4945" "Onuškis" [54.48374200000001,24.591959000000003] 103.16686496628398
18030 "4711" "47250" 4473 "4945" "Onuškis" [54.48374200000001,24.591959000000003] 103.16686496628398
17544 "11705" "747606" 18140 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
2846 "6511" "54508" 10464 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
17291 "6509" "54501" 10398 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
20195 "6513" "54509" 10476 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
19925 "29093" "7413976" 44636 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
18373 "29092" "7413975" 44606 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
17202 "5232" "56646" 12444 "14684" "Lieplaukalė" [55.9354974471734,21.831098374058865] 152.04079667279404
17534 "44681" "8136901" 139848 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
20324 "3514" "45563" 2613 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
19255 "3537" "45591" 2638 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
21475 "17131" "2515701" 24960 "16347" "Sudervė" [54.761036,25.063001999999997] 2603.225038082936
18993 "3574" "45644" 2639 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
2724 "3617" "45754" 2665 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
3199 "15331" "2211798" 21980 "6964" "Mikieriai" [55.66300100000001,25.169295] 153.6142678364674
17500 "15330" "2211797" 21979 "6964" "Mikieriai" [55.66300100000001,25.169295] 153.6142678364674
stops_match_shape_out_of_order WARNING 15

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.
19314 "3645" "57657" 14509 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14508 "12152" "Jonaičiai" [55.34641499999999,21.570023]
16687 "3667" "57730" 14648 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14647 "13926" "Jonaičiai" [55.346103,21.568929]
17057 "3714" "57736" 14722 "13926" "Jonaičiai" [55.346103,21.568929] 14721 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
2435 "13808" "1228372" 20676 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 20675 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
17029 "26489" "7231018" 40437 "10486" "Kuršų m-la" [55.853816990580704,22.40675061105697] 40436 "7720" "Baltininkai" [55.85382305337965,22.406770171019815]
17398 "35668" "7652364" 61777 "20855" "Kontariškiai" [56.04984708813942,24.383280063416947] 61776 "20829" "Smegduobių parkas" [56.056377166218944,24.39590345350891]
19610 "28435" "7339430" 42336 "64819" "Suostas" [56.32837413018391,24.713657886432735] 42335 "16112" "Svydžiai" [56.352930797976754,24.686322368913352]
19865 "28434" "7339429" 42312 "10057" "Svydžiai" [56.35334128457164,24.685572701413516] 42311 "64820" "Suostas" [56.32837775901334,24.713656830174433]
17048 "6591" "57636" 14185 "13926" "Jonaičiai" [55.346103,21.568929] 14184 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
16708 "3554" "57643" 14313 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14312 "12152" "Jonaičiai" [55.34641499999999,21.570023]
20874 "29102" "7413991" 44730 "71231" "Žuvintai" [54.448579423202126,23.62330650767253] 44729 "71255" "Litvanciškai" [54.41436513808293,23.67340583550103]
20276 "40377" "8016002" 90858 "72301" "Kirlikai" [55.32834500402225,21.565359093761266] 90857 "97223" "Tarvydai I" [55.328604,21.56423]
19787 "40378" "8016003" 90867 "71683" "Tarvydai II" [55.31814711876975,21.598011981975805] 90866 "97223" "Tarvydai I" [55.328604,21.56423]
17883 "5353" "57622" 14014 "13926" "Jonaičiai" [55.346103,21.568929] 14013 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
21497 "54901" "8226897" 342087 "45588" "Balbieriškis" [54.524770000000004,23.885448] 342086 "45784" "Balbieriškis" [54.525039387689404,23.885400507640224]
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