GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2025-11-18T06:07:57+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: 3749
  • Stops: 13555
  • Trips: 22900

Specification Compliance report

117058 notices reported (0 errors, 117025 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`.
32 "17687" 193 "17722" "M-103" "Kauno pilis-SB\"Lokomotyvas\"-Babtai" 3 "14"
82 "17707" 210 "17690" "M-172" "Kaunas-Margininkai-Piliuona-Pakuonis" 3 "14"
83 "17704" 261 "17711" "M-151" "Kaunas-Ramučiai" 3 "14"
54 "17691" 368 "17745" "M-179" "Kaunas-Vaišvydava-Viršužiglis-Arlaviškės" 3 "14"
187 "17761" 369 "17748" "M-167" "Kaunas-Raudondvaris-Padauguva-Vilkija" 3 "14"
181 "17760" 535 "17736" "M-157" "Kaunas-Kačerginė-Zapyškis-Ežerėlis" 3 "14"
192 "17752" 545 "17696" "M-166" "Kaunas-Kačerginė-Zapyškis-SB\"Baldininkas\"" 3 "14"
550 "17724" 562 "17755" "M-194" "Kauno pilis-Garliava-Linksmakalnis" 3 "14"
387 "17757" 720 "17725" "M-149" "Kaunas-Vaišvydava-Gervėnupis" 3 "14"
705 "17730" 727 "17708" "M-198" "Kaunas - Vandžiogala - Boniškiai" 3 "14"
209 "17753" 752 "17729" "M-180A" "Kaunas-Akademija-Bajorai-Girininkų miškas" 3 "14"
603 "17715" 754 "17739" "M-151(A)" "Kaunas-Urban HUB-LEZ-Kaunas" 3 "14"
50 "17741" 862 "17728" "M-154" "Čekiškė - Daugėliškiai - Vilkija - Kaunas" 3 "14"
51 "17701" 863 "17705" "M-166" "Kaunas-Raudondvario pl.-Ringaudai-Tabariškiai" 3 "14"
180 "17719" 877 "17710" "M-197" "Kaunas-Babtai-Panevėžiukas (SB\"Vija\")" 3 "14"
31 "17702" 878 "17685" "M-148" "Kaunas-Domeikava-SB\"Didžiosios Lapės\"" 3 "14"
372 "17732" 881 "17754" "M-156" "Kaunas - Neveronys" 3 "14"
546 "17721" 882 "17727" "M-101" "Kauno pilis-Linkuvos g.-Giraitė-Ledos kapinės" 3 "14"
876 "17709" 894 "17692" "M-140" "Kauno pilis-Garliava-Mastaičiai-Kampiškiai" 3 "14"
699 "16052" 948 "6212" "M23" "Alytus - Punia - Butrimonys - Eigirdonys" 3 "48"
1041 "17693" 1043 "17698" "M-199" "Kaunas-Voškoniai-Vandžiogala-Labūnava" 3 "14"
544 "17716" 1044 "17712" "M-189" "Kaunas - Drąseikiai - Batėgala" 3 "14"
704 "17733" 1045 "17718" "M-150" "Kaunas-Ramučiai-Karmėlava-Salupiai-SB\"Inkaras\"" 3 "14"
879 "17703" 1050 "17744" "M-106" "Kaunas-Jonučiai-Garliava-Jurginiškiai" 3 "14"
53 "17689" 1054 "17743" "M-165" "Kaunas-Kačerginė-Zapyškis-Lekėčiai" 3 "14"
755 "17746" 1055 "17758" "M-163" "Kaunas-Babtai-Labūnava" 3 "14"
885 "17735" 1059 "17720" "M-161" "Kaunas-Raudondvaris-Netoniai- Kulautuva" 3 "14"
1061 "17756" 1062 "17686" "M-146" "Kaunas-Žiegždriai" 3 "14"
1060 "17723" 1064 "17738" "M-135" "Kaunas - Rokai - Girininkai" 3 "14"
81 "17726" 1101 "17762" "M-120" "Kaunas-Karmėlavos kapinės" 3 "14"
37 "17734" 1109 "17751" "M-101A" "Kauno pilis-Linkuvos g.-Šilainiai-Užliedžiai" 3 "14"
91 "17695" 1110 "17750" "M-181" "Kaunas-Noreikiškės-Ringaudai-Tabariškiai-Gelžkeliuko g." 3 "14"
435 "17684" 1125 "17749" "M-170" "Kaunas-Vilkija-Purviškiai-Čekiškė" 3 "14"
706 "17706" 1233 "17700" "M-108" "Kaunas-Ireniškiai-Seniava" 3 "14"
373 "17683" 1234 "17699" "M-159" "Kaunas-Mastaičiai-Pažėrai-SB\"Aronija\"-Smėlio g." 3 "14"
444 "3645" 1235 "8681" "144" "Vilnius (Žalgirio stotelė) – Nemenčinė per Pikeliškes" 3 "53"
1100 "17694" 1249 "17697" "M-153" "Kaunas-Vilkija-Liučiūnai-Čekiškė" 3 "14"
729 "17688" 1250 "17742" "M-168" "Kaunas-Linkuvos g.-Užliedžiai-Babtai-Vosiškiai" 3 "14"
1231 "17747" 1281 "17759" "M-180" "Kaunas-Ringaudai-Tabariškiai-Girininkai" 3 "14"
1261 "17740" 1286 "17717" "M-168" "Vosiškiai-Babtai" 3 "14"
448 "17714" 1294 "17731" "M-104" "Kaunas-Ražiškiai-Karkazai-Kreidos g.-Seniava" 3 "14"
160 "17713" 1295 "17737" "M-120" "Karmėlava-Ramučiai" 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" 504855 29882.7 878 504854 29882.7 877 0.12791084993239907
"2328" 413753 35929.8 642 413752 35929.8 641 0.11119510090982554
"3659" 499905 49657.5 1177 499904 49657.5 1176 0.12791084993239907
"42205" 3289275 57850.1 335 3289274 57850.1 334 0.06178544815632574
"2369" 399093 63265.5 1261 399092 63265.5 1260 0.11119510090982554
"2385" 608663 69168.3 1771 608662 69168.3 1770 0.06441976500794575
"28733" 2289310 71509.2 1569 2289309 71509.2 1568 0.06441976500794575
"1919" 774179 136875.8 2842 774178 136875.8 2841 0.12752942403551987
"1919" 774182 136876.0 2845 774181 136876.0 2844 0.11119510090982554
"1919" 774189 136876.5 2852 774188 136876.5 2851 0.11119510232447394
"1919" 774192 136876.7 2855 774191 136876.7 2854 0.11119510161714974
"1919" 774195 136876.9 2858 774194 136876.9 2857 0.12752941555597483
"1919" 774204 136877.5 2867 774203 136877.5 2866 0.11119510090982554
"1919" 774207 136877.7 2870 774206 136877.7 2869 0.11119510161714974
"1919" 774210 136877.9 2873 774209 136877.9 2872 0.11119510090982554
"1919" 774217 136878.4 2880 774216 136878.4 2879 0.11119510090982554
"1919" 774220 136878.6 2883 774219 136878.6 2882 0.11119510161714974
"1919" 774229 136879.2 2892 774228 136879.2 2891 0.11119510090982554
"1919" 774232 136879.4 2895 774231 136879.4 2894 0.12752939825777979
"1919" 774235 136879.6 2898 774234 136879.6 2897 0.11119510161714974
"1919" 774244 136880.2 2907 774243 136880.2 2906 0.11119510161714974
"1919" 774248 136880.5 2911 774247 136880.5 2910 0.06244513630731429
"1919" 774254 136880.9 2917 774253 136880.9 2916 0.11119510161714974
"1919" 774257 136881.1 2920 774256 136881.1 2919 0.11119510090982554
"1919" 774260 136881.3 2923 774259 136881.3 2922 0.11119510090982554
"1919" 774269 136881.9 2932 774268 136881.9 2931 0.12752938095958766
"1919" 774272 136882.1 2935 774271 136882.1 2934 0.11119510161714974
"1919" 774283 136882.8 2946 774282 136882.8 2945 0.11119510161714974
"1919" 774288 136883.1 2951 774287 136883.1 2950 0.11119510161714974
"1919" 774296 136883.6 2959 774295 136883.6 2958 0.11119510090982554
"1919" 774301 136883.9 2964 774300 136883.9 2963 0.11119510090982554
"1919" 774314 136884.7 2977 774313 136884.7 2976 0.11119510161714974
"1919" 774316 136884.8 2979 774315 136884.8 2978 0.11119510090982554
"1919" 774319 136885.0 2982 774318 136885.0 2981 0.11119510161714974
"1919" 774327 136885.5 2990 774326 136885.5 2989 0.1275293557985862
"1919" 774329 136885.6 2992 774328 136885.6 2991 0.11119510161714974
"1919" 774332 136885.8 2995 774331 136885.8 2994 0.11119510090982554
"1919" 774334 136885.9 2997 774333 136885.9 2996 0.11119510232447394
"1919" 774340 136886.3 3003 774339 136886.3 3002 0.06244505260741443
"1919" 774345 136886.6 3008 774344 136886.6 3007 0.11119510161714974
"1919" 774347 136886.7 3010 774346 136886.7 3009 0.11119510090982554
"1919" 774350 136886.9 3013 774349 136886.9 3012 0.11119510090982554
"1919" 774352 136887.0 3015 774351 136887.0 3014 0.11119510090982554
"1919" 774358 136887.4 3021 774357 136887.4 3020 0.11119510090982554
"1919" 774360 136887.5 3023 774359 136887.5 3022 0.11119510161714974
"1919" 774363 136887.7 3026 774362 136887.7 3025 0.11119510090982554
"1919" 774365 136887.8 3028 774364 136887.8 3027 0.11119510161714974
"1919" 774376 136888.5 3039 774375 136888.5 3038 0.11119510161714974
"1919" 774378 136888.6 3041 774377 136888.6 3040 0.11119510090982554
"1919" 774381 136888.8 3044 774380 136888.8 3043 0.11119510090982554
equal_shape_distance_same_coordinates WARNING 12259

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 12259 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" 3067853 350.5 28 3067852 350.5 27
"43541" 3067864 811.7 39 3067863 811.7 38
"43541" 3067903 1779.8 78 3067902 1779.8 77
"43541" 3067947 3184.3 122 3067946 3184.3 121
"43541" 3067980 4418.1 155 3067979 4418.1 154
"43541" 3067996 4854.6 171 3067995 4854.6 170
"43541" 3068045 6561.9 220 3068044 6561.9 219
"43541" 3068081 7544.1 256 3068080 7544.1 255
"43541" 3068120 8757.6 295 3068119 8757.6 294
"43541" 3068137 9358.6 312 3068136 9358.6 311
"43541" 3068164 9709.1 339 3068163 9709.1 338
"43541" 3068210 10376.7 385 3068209 10376.7 384
"43541" 3068263 11116.1 438 3068262 11116.1 437
"43541" 3068294 11700.4 469 3068293 11700.4 468
"43541" 3068325 12284.8 500 3068324 12284.8 499
"43541" 3068586 14358.7 761 3068585 14358.7 760
"43541" 3068662 14706.8 837 3068661 14706.8 836
"43541" 3068762 15301.6 937 3068761 15301.6 936
"43541" 3068862 15896.4 1037 3068861 15896.4 1036
"43541" 3068938 16244.5 1113 3068937 16244.5 1112
"43541" 3069136 17133.2 1311 3069135 17133.2 1310
"43541" 3069379 18161.9 1554 3069378 18161.9 1553
"43541" 3069404 18472.3 1579 3069403 18472.3 1578
"43541" 3069454 18976.3 1629 3069453 18976.3 1628
"43541" 3069601 19673.4 1776 3069600 19673.4 1775
"43541" 3069830 21285.9 2005 3069829 21285.9 2004
"43541" 3069906 22756.6 2081 3069905 22756.6 2080
"43541" 3069982 24227.3 2157 3069981 24227.3 2156
"43541" 3070021 24719.6 2196 3070020 24719.6 2195
"43541" 3070038 25292.2 2213 3070037 25292.2 2212
"43541" 3070057 25625.9 2232 3070056 25625.9 2231
"43541" 3070145 26736.7 2320 3070144 26736.7 2319
"43541" 3070232 27236.5 2407 3070231 27236.5 2406
"43541" 3070281 28436.1 2456 3070280 28436.1 2455
"43541" 3070320 28928.5 2495 3070319 28928.5 2494
"43541" 3070371 29639.4 2546 3070370 29639.4 2545
"43541" 3070602 30811.2 2777 3070601 30811.2 2776
"43541" 3070678 31159.3 2853 3070677 31159.3 2852
"43541" 3070778 31754.1 2953 3070777 31754.1 2952
"43541" 3070878 32348.9 3053 3070877 32348.9 3052
"43541" 3070954 32697.0 3129 3070953 32697.0 3128
"43541" 3071152 33585.6 3327 3071151 33585.6 3326
"43541" 3071436 35228.5 3611 3071435 35228.5 3610
"43541" 3071489 35967.9 3664 3071488 35967.9 3663
"43541" 3071520 36552.2 3695 3071519 36552.2 3694
"43541" 3071551 37136.6 3726 3071550 37136.6 3725
"42206" 3289446 20641.7 108 3289445 20641.7 107
"42206" 3289469 24205.9 131 3289468 24205.9 130
"43537" 3298315 310.3 26 3298314 310.3 25
"43537" 3298328 811.7 39 3298327 811.7 38
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.
6172 "17222"
5306 "31530"
6 "1076"
6330 "66192"
4369 "17343"
1726 "2499"
23 "43774"
864 "1256"
3511 "1294"
6173 "24602"
5321 "48594"
2 "1339"
1723 "2685"
6170 "12709"
2646 "1379"
3537 "2737"
4361 "2766"
878 "60347"
8 "1461"
4374 "47502"
6161 "678"
5301 "2814"
3541 "2849"
3542 "2852"
4363 "2850"
2661 "2980"
4362 "2975"
1724 "2974"
5300 "2972"
3510 "973"
4392 "60928"
4388 "60959"
3553 "47985"
6166 "1954"
1747 "60890"
6168 "3000"
1725 "3012"
5308 "20239"
6174 "20237"
6175 "13033"
869 "13105"
11 "2009"
13 "2022"
4380 "48071"
26 "48073"
4378 "48062"
2659 "2111"
4360 "2123"
3531 "2137"
1717 "2158"
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.
21333 "8093432" "17272" 196.9887428340989 3.283145713901648 247170 17 "99227" "Krekenava" "14:03:00" 247171 18 "99243" "Rabikiai" "14:03:00"
21410 "8091136" "17220" 196.9887428340989 3.283145713901648 228165 17 "98468" "Krekenava" "14:03:00" 228166 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.
2035 "2699" "7597147"
2065 "2699" "7597148"
2066 "2699" "7597149"
2077 "2699" "7597150"
2078 "2699" "7597151"
2079 "2699" "7597153"
2080 "2699" "7597154"
2090 "2699" "7597155"
2091 "2699" "7597156"
2092 "2699" "7597157"
2093 "2699" "7597158"
2094 "2699" "7597159"
2095 "2699" "7597160"
2096 "2699" "7597161"
2102 "2699" "7597162"
2103 "2699" "7597163"
2110 "2699" "7597164"
2113 "2699" "7597165"
2114 "2699" "7597166"
2115 "2699" "7597167"
2143 "2699" "7597133"
2144 "2699" "7597134"
2145 "2699" "7597135"
2146 "2699" "7597136"
2147 "2699" "7597137"
2148 "2699" "7597138"
2149 "2699" "7597139"
2181 "2699" "7597140"
2182 "2699" "7597141"
2183 "2699" "7597142"
2184 "2699" "7597143"
2185 "2699" "7597144"
2186 "2699" "7597145"
2187 "2699" "7597146"
3154 "2699" "7597169"
13605 "2699" "7597182"
13606 "2699" "7597183"
13607 "2699" "7597184"
13608 "2699" "7597185"
13670 "2699" "7597186"
13671 "2699" "7597187"
13672 "2699" "7597188"
13675 "2699" "7597189"
13755 "2699" "7597190"
13756 "2699" "7597191"
13757 "2699" "7597192"
13758 "2699" "7597193"
13759 "2699" "7597194"
13760 "2699" "7597195"
13762 "2699" "7597196"
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" 264
"routes.txt" "route_short_name" "1A_VLP" 335
"routes.txt" "route_short_name" "518_VLP" 343
"routes.txt" "route_short_name" "523_VLP" 349
"routes.txt" "route_short_name" "2_VLP" 506
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER KANDRĖNUS, LAIČIUS" 586
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 604
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 760
"routes.txt" "route_long_name" "KUPIŠKIS - ANTAŠAVA" 907
"routes.txt" "route_short_name" "2A_VLP" 1001
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS" 1146
"routes.txt" "route_long_name" "KUPIŠKIS – ŠIMONYS PER MIGONIS" 1153
"routes.txt" "route_long_name" "KUPIŠKIS – PANEVĖŽYS" 1171
"routes.txt" "route_short_name" "1_VLP" 1183
"routes.txt" "route_long_name" "KUPIŠKIS – ALIZAVA PER PALĖVENĖLĘ – KUPIŠKIS" 1202
"routes.txt" "route_long_name" "ŽELVA - KIAUKLIAI" 1210
"routes.txt" "route_long_name" "KUPIŠKIS – VAINIŪNIŠKIS (PER PALĖVENĖLĘ) – KUPIŠKIS" 1211
"routes.txt" "route_long_name" "UKMERGĖ- MIŠNIŪNAI PER LIAUŠIUS" 1254
"routes.txt" "route_long_name" "KUPIŠKIS – LAIČIAI PER KANDRĖNUS, SKAPIŠKIO MSTL." 1258
"routes.txt" "route_long_name" "KUPIŠKIS – SUBAČIAUS MST. PER LUKONIS" 1317
"routes.txt" "route_short_name" "5_VLP" 1357
"routes.txt" "route_short_name" "4_VLP" 1359
"routes.txt" "route_short_name" "3_VLP" 1363
"routes.txt" "route_short_name" "787_VLP" 1366
"stops.txt" "stop_name" "140 km" 164
"stops.txt" "stop_name" "2-asis fortas" 409
"stops.txt" "stop_name" "4-asis fortas B" 473
"stops.txt" "stop_name" "7-asis kilometras A" 490
"stops.txt" "stop_name" "VDU klasikinio ugdymo licėjus B" 515
"stops.txt" "stop_name" "9-ojo forto muziejus" 1306
"stops.txt" "stop_name" "VDU klasikinio ugdymo licėjus A" 1508
"stops.txt" "stop_name" "KTU inžinerijos licėjus B" 2144
"stops.txt" "stop_name" "40 km" 2337
"stops.txt" "stop_name" "HARJU ELEKTER UAB" 2685
"stops.txt" "stop_name" "3-ieji sodininkai" 2895
"stops.txt" "stop_name" "1-ojo forto g." 2997
"stops.txt" "stop_name" "19-as kilometras" 3020
"stops.txt" "stop_name" "140 km" 3153
"stops.txt" "stop_name" "9 kilometras" 3210
"stops.txt" "stop_name" "9 kilometras" 3211
"stops.txt" "stop_name" "žieda" 3251
"stops.txt" "stop_name" "16-sis kilometras" 3284
"stops.txt" "stop_name" "III km." 4110
"stops.txt" "stop_name" "III km." 4151
"stops.txt" "stop_name" "kulniškiai" 4390
"stops.txt" "stop_name" "9-ojo forto muziejus" 4470
"stops.txt" "stop_name" "19-as kilometras" 4520
"stops.txt" "stop_name" "140 km" 4752
"stops.txt" "stop_name" "32 kilometras" 4897
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.
9790 "3636" "45756" 3497 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
9791 "3651" "45771" 3526 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
13337 "3653" "45773" 3527 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
16584 "43544" "8124133" 399891 "9340" "Mokykla" [55.512857000000004,26.315831] 134.01174852768767
16589 "43548" "8124139" 399929 "8484" "Mokykla" [55.513561,26.317414] 128.25393944619788
1221 "26974" "7317012" 37444 "14216" "Glaudžiai" [55.90637400000001,21.877556999999996] 1731.1842381583824
1221 "26974" "7317012" 37445 "10163" "Glaudžiai I" [55.90637400000001,21.877556999999996] 935.5388323636666
1221 "26974" "7317012" 37460 "19491" "Plungės autobusų stotis" [55.918779,21.851513000000004] 152.03315218543798
21172 "29329" "7418310" 45109 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
9494 "29328" "7418309" 45086 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
10984 "37814" "7870743" 78382 "91339" "Sūduva" [54.57502093577935,23.37188570151982] 108.83359346294479
8031 "18654" "3218451" 22799 "67434" "Geluva" [55.249732,23.511073] 140.46827403515317
15964 "32206" "7476583" 51022 "48065" "Troškūnų g." [55.521214350005486,25.097709664383384] 523.8519190658676
15964 "32206" "7476583" 51023 "48066" "Geležinkelio stotis" [55.526276,25.103853] 785.72734673045
15964 "32206" "7476583" 51024 "48068" "Kalno parduotuvė" [55.526598,25.099623999999995] 574.8082135251354
15964 "32206" "7476583" 51027 "48071" "Pušyno mikrorajonas" [55.521132,25.115296] 658.3695095777266
15964 "32206" "7476583" 51032 "48070" "Žiburio g." [55.525912999999996,25.113931000000004] 146.43308427108235
13381 "3899" "46086" 3635 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
13434 "3014" "43694" 2660 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
350 "37872" "7870674" 76986 "91654" "Kūlokai" [54.450829999999996,23.395002] 3378.2526672161835
20503 "29420" "7429613" 45664 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
13453 "4529" "46899" 4305 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
9787 "4527" "47691" 5336 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
13426 "4528" "47692" 5337 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
9608 "14622" "7150732" 36484 "14754" "Naiviai" [55.84397975379556,25.145549112350125] 765.6219655883444
13444 "2821" "45017" 3421 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
9573 "29615" "7432118" 46152 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
22415 "29616" "7432119" 46200 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
5027 "21886" "8128860" 402208 "5846" "Grūtas" [54.032271447911626,24.074587772943918] 103.01117636409927
4763 "21885" "8128778" 400928 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
15072 "21887" "8128791" 401153 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
5018 "21891" "8128924" 403215 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
5361 "21865" "8128916" 403062 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
1402 "21872" "8128930" 403294 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
9858 "3339" "46943" 4306 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
1987 "28460" "7340047" 40179 "8316" "Tirkšlių paviljonas" [56.262579012838884,22.304642653254728] 376.76730742519857
12050 "11705" "747606" 14963 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
13207 "6511" "54507" 8774 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
12930 "6509" "54501" 8720 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
13209 "6513" "54509" 8798 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
7291 "29093" "7413976" 42886 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
7290 "29092" "7413975" 42856 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
9860 "5232" "48166" 5592 "14684" "Lieplaukalė" [55.9354974471734,21.831098374058865] 152.04079667279404
13445 "3514" "45563" 3444 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
13335 "3537" "45591" 3469 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
10273 "17131" "2515700" 21068 "16347" "Sudervė" [54.761036,25.063001999999997] 2603.225038082936
13382 "3574" "45644" 3470 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
9784 "3617" "45754" 3496 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
6898 "15331" "2211799" 17832 "6964" "Mikieriai" [55.66300100000001,25.169295] 153.6142678364674
8312 "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.
15220 "29269" "7429480" 45160 "22015" "Graužiečiai" [55.224458,24.844213] 45159 "21701" "Vaisgeliškiai" [55.21389948434742,24.843246782879064]
9964 "3645" "57657" 10915 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 10914 "12152" "Jonaičiai" [55.34641499999999,21.570023]
9937 "3667" "57730" 11054 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 11053 "13926" "Jonaičiai" [55.346103,21.568929]
9938 "3714" "57736" 11128 "13926" "Jonaičiai" [55.346103,21.568929] 11127 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
3874 "13808" "1228372" 16694 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 16693 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
11764 "17480" "2657524" 21482 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 21481 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
21465 "28435" "7339430" 40167 "64819" "Suostas" [56.32837413018391,24.713657886432735] 40166 "16112" "Svydžiai" [56.352930797976754,24.686322368913352]
21463 "28434" "7339429" 40143 "10057" "Svydžiai" [56.35334128457164,24.685572701413516] 40142 "64820" "Suostas" [56.32837775901334,24.713656830174433]
9934 "6591" "57635" 10575 "13926" "Jonaičiai" [55.346103,21.568929] 10574 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
9996 "3554" "57639" 10631 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 10630 "12152" "Jonaičiai" [55.34641499999999,21.570023]
5660 "29102" "7413991" 42980 "71231" "Žuvintai" [54.448579423202126,23.62330650767253] 42979 "71255" "Litvanciškai" [54.41436513808293,23.67340583550103]
14730 "40377" "8016002" 110207 "72301" "Kirlikai" [55.32834500402225,21.565359093761266] 110206 "97223" "Tarvydai I" [55.328604,21.56423]
15389 "40378" "8016003" 110216 "71683" "Tarvydai II" [55.31814711876975,21.598011981975805] 110215 "97223" "Tarvydai I" [55.328604,21.56423]
10209 "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