GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2025-12-12T06:08:33+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: 37
  • Blocks: 0
  • Routes: 1292
  • Shapes: 3502
  • Stops: 12966
  • Trips: 22790

Specification Compliance report

120218 notices reported (0 errors, 120185 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`.
47 "18256" 48 "18268" "M-163" "Kaunas-Babtai-Labūnava" 3 "14"
35 "18284" 93 "18283" "M-199" "Kaunas-Voškoniai-Vandžiogala-Labūnava" 3 "14"
59 "18253" 194 "18278" "M-165" "Kaunas-Kačerginė-Zapyškis-Lekėčiai" 3 "14"
63 "18286" 215 "18311" "M-166" "Kaunas-Raudondvario pl.-Ringaudai-Tabariškiai" 3 "14"
183 "18308" 370 "18295" "M-197" "Kaunas-Babtai-Panevėžiukas (SB\"Vija\")" 3 "14"
377 "18279" 391 "18294" "M-140" "Kauno pilis-Garliava-Mastaičiai-Kampiškiai" 3 "14"
46 "18309" 531 "18272" "M-103" "Kauno pilis-SB\"Lokomotyvas\"-Babtai" 3 "14"
195 "18250" 539 "18237" "M-154" "Čekiškė - Daugėliškiai - Vilkija - Kaunas" 3 "14"
198 "18287" 560 "18261" "M-166" "Kaunas-Kačerginė-Zapyškis-Šėtijų stotelė" 3 "14"
398 "18240" 571 "18303" "M-104" "Kaunas-Ražiškiai-Karkazai-Kreidos g.-Seniava" 3 "14"
450 "18246" 613 "18302" "M-120" "Karmėlava-Ramučiai" 3 "14"
376 "18273" 676 "18300" "M-153" "Kaunas-Vilkija-Liučiūnai-Čekiškė" 3 "14"
543 "18277" 678 "18290" "M-148" "Kaunas-Domeikava-SB\"Didžiosios Lapės\"" 3 "14"
580 "18232" 687 "18247" "M-135" "Kaunas - Rokai - Girininkai" 3 "14"
561 "18265" 828 "18233" "M-120" "Kaunas-Karmėlavos kapinės" 3 "14"
686 "18255" 829 "18292" "M-106" "Kaunas-Jonučiai-Garliava-Jurginiškiai" 3 "14"
681 "18269" 832 "18236" "M-149" "Kaunas-Vaišvydava-Gervėnupis" 3 "14"
357 "18249" 834 "18235" "M-161" "Kaunas-Raudondvaris-Netoniai- Kulautuva" 3 "14"
181 "18270" 835 "18245" "M-157" "Kaunas-Kačerginė-Zapyškis-Ežerėlis" 3 "14"
374 "18275" 838 "18289" "M-159" "Kaunas-Mastaičiai-Pažėrai-SB\"Aronija\"-Smėlio g." 3 "14"
833 "18301" 839 "18306" "M-189" "Kaunas - Drąseikiai - Batėgala" 3 "14"
387 "18288" 847 "18263" "M-167" "Kaunas-Raudondvaris-Padauguva-Vilkija" 3 "14"
197 "18242" 849 "18307" "M-150" "Kaunas-Ramučiai-Karmėlava-Salupiai-SB\"Inkaras\"" 3 "14"
856 "18257" 866 "18271" "M-180" "Kaunas-Ringaudai-Tabariškiai-Girininkai" 3 "14"
669 "16052" 887 "6212" "M23" "Alytus - Punia - Butrimonys - Eigirdonys" 3 "48"
36 "18282" 985 "18254" "M-179" "Kaunas-Vaišvydava-Viršužiglis-Arlaviškės" 3 "14"
696 "18296" 987 "18281" "M-172" "Kaunas-Margininkai-Piliuona-Pakuonis" 3 "14"
37 "18280" 992 "18252" "M-168" "Kaunas-Linkuvos g.-Užliedžiai-Babtai-Vosiškiai" 3 "14"
848 "18248" 998 "18304" "M-151(A)" "Kaunas-Urban HUB-LEZ-Kaunas" 3 "14"
857 "18266" 1014 "18234" "M-194" "Kauno pilis-Garliava-Linksmakalnis" 3 "14"
411 "18260" 1025 "18285" "M-181" "Kaunas-Noreikiškės-Ringaudai-Tabariškiai-Gelžkeliuko g." 3 "14"
58 "18251" 1078 "18305" "M-168" "Vosiškiai-Babtai" 3 "14"
182 "18238" 1138 "18310" "M-101" "Kauno pilis-Linkuvos g.-Giraitė-Ledos kapinės" 3 "14"
675 "18264" 1146 "18243" "M-156" "Kaunas - Neveronys" 3 "14"
44 "18267" 1152 "18276" "M-146" "Kaunas-Žiegždriai" 3 "14"
997 "18241" 1153 "18298" "M-198" "Kaunas - Vandžiogala - Boniškiai" 3 "14"
532 "18291" 1155 "18297" "M-108" "Kaunas-Ireniškiai-Seniava" 3 "14"
690 "18258" 1156 "18274" "M-170" "Kaunas-Vilkija-Purviškiai-Čekiškė" 3 "14"
210 "18239" 1178 "18262" "M-180A" "Kaunas-Akademija-Bajorai-Girininkų miškas" 3 "14"
373 "3645" 1184 "8681" "144" "Vilnius (Žalgirio stotelė) – Nemenčinė per Pikeliškes" 3 "53"
70 "18293" 1196 "18299" "M-151" "Kaunas-Ramučiai" 3 "14"
294 "18244" 1203 "18259" "M-101A" "Kauno pilis-Linkuvos g.-Šilainiai-Užliedžiai" 3 "14"
equal_shape_distance_diff_coordinates_distance_below_threshold WARNING 4138

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 4138 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" 474835 29882.7 878 474834 29882.7 877 0.12791084993239907
"2328" 383733 35929.8 642 383732 35929.8 641 0.11119510090982554
"3659" 469885 49657.5 1177 469884 49657.5 1176 0.12791084993239907
"2369" 369073 63265.5 1261 369072 63265.5 1260 0.11119510090982554
"2385" 578643 69168.3 1771 578642 69168.3 1770 0.06441976500794575
"28733" 2192855 71509.2 1569 2192854 71509.2 1568 0.06441976500794575
"1919" 743121 136875.8 2842 743120 136875.8 2841 0.12752942403551987
"1919" 743124 136876.0 2845 743123 136876.0 2844 0.11119510090982554
"1919" 743131 136876.5 2852 743130 136876.5 2851 0.11119510232447394
"1919" 743134 136876.7 2855 743133 136876.7 2854 0.11119510161714974
"1919" 743137 136876.9 2858 743136 136876.9 2857 0.12752941555597483
"1919" 743146 136877.5 2867 743145 136877.5 2866 0.11119510090982554
"1919" 743149 136877.7 2870 743148 136877.7 2869 0.11119510161714974
"1919" 743152 136877.9 2873 743151 136877.9 2872 0.11119510090982554
"1919" 743159 136878.4 2880 743158 136878.4 2879 0.11119510090982554
"1919" 743162 136878.6 2883 743161 136878.6 2882 0.11119510161714974
"1919" 743171 136879.2 2892 743170 136879.2 2891 0.11119510090982554
"1919" 743174 136879.4 2895 743173 136879.4 2894 0.12752939825777979
"1919" 743177 136879.6 2898 743176 136879.6 2897 0.11119510161714974
"1919" 743186 136880.2 2907 743185 136880.2 2906 0.11119510161714974
"1919" 743190 136880.5 2911 743189 136880.5 2910 0.06244513630731429
"1919" 743196 136880.9 2917 743195 136880.9 2916 0.11119510161714974
"1919" 743199 136881.1 2920 743198 136881.1 2919 0.11119510090982554
"1919" 743202 136881.3 2923 743201 136881.3 2922 0.11119510090982554
"1919" 743211 136881.9 2932 743210 136881.9 2931 0.12752938095958766
"1919" 743214 136882.1 2935 743213 136882.1 2934 0.11119510161714974
"1919" 743225 136882.8 2946 743224 136882.8 2945 0.11119510161714974
"1919" 743230 136883.1 2951 743229 136883.1 2950 0.11119510161714974
"1919" 743238 136883.6 2959 743237 136883.6 2958 0.11119510090982554
"1919" 743243 136883.9 2964 743242 136883.9 2963 0.11119510090982554
"1919" 743256 136884.7 2977 743255 136884.7 2976 0.11119510161714974
"1919" 743258 136884.8 2979 743257 136884.8 2978 0.11119510090982554
"1919" 743261 136885.0 2982 743260 136885.0 2981 0.11119510161714974
"1919" 743269 136885.5 2990 743268 136885.5 2989 0.1275293557985862
"1919" 743271 136885.6 2992 743270 136885.6 2991 0.11119510161714974
"1919" 743274 136885.8 2995 743273 136885.8 2994 0.11119510090982554
"1919" 743276 136885.9 2997 743275 136885.9 2996 0.11119510232447394
"1919" 743282 136886.3 3003 743281 136886.3 3002 0.06244505260741443
"1919" 743287 136886.6 3008 743286 136886.6 3007 0.11119510161714974
"1919" 743289 136886.7 3010 743288 136886.7 3009 0.11119510090982554
"1919" 743292 136886.9 3013 743291 136886.9 3012 0.11119510090982554
"1919" 743294 136887.0 3015 743293 136887.0 3014 0.11119510090982554
"1919" 743300 136887.4 3021 743299 136887.4 3020 0.11119510090982554
"1919" 743302 136887.5 3023 743301 136887.5 3022 0.11119510161714974
"1919" 743305 136887.7 3026 743304 136887.7 3025 0.11119510090982554
"1919" 743307 136887.8 3028 743306 136887.8 3027 0.11119510161714974
"1919" 743318 136888.5 3039 743317 136888.5 3038 0.11119510161714974
"1919" 743320 136888.6 3041 743319 136888.6 3040 0.11119510090982554
"1919" 743323 136888.8 3044 743322 136888.8 3043 0.11119510090982554
"1919" 743332 136889.4 3053 743331 136889.4 3052 0.11119510161714974
equal_shape_distance_same_coordinates WARNING 14718

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 14718 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" 2863554 350.5 28 2863553 350.5 27
"43541" 2863565 811.7 39 2863564 811.7 38
"43541" 2863604 1779.8 78 2863603 1779.8 77
"43541" 2863648 3184.3 122 2863647 3184.3 121
"43541" 2863681 4418.1 155 2863680 4418.1 154
"43541" 2863697 4854.6 171 2863696 4854.6 170
"43541" 2863746 6561.9 220 2863745 6561.9 219
"43541" 2863782 7544.1 256 2863781 7544.1 255
"43541" 2863821 8757.6 295 2863820 8757.6 294
"43541" 2863838 9358.6 312 2863837 9358.6 311
"43541" 2863865 9709.1 339 2863864 9709.1 338
"43541" 2863911 10376.7 385 2863910 10376.7 384
"43541" 2863964 11116.1 438 2863963 11116.1 437
"43541" 2863995 11700.4 469 2863994 11700.4 468
"43541" 2864026 12284.8 500 2864025 12284.8 499
"43541" 2864287 14358.7 761 2864286 14358.7 760
"43541" 2864363 14706.8 837 2864362 14706.8 836
"43541" 2864463 15301.6 937 2864462 15301.6 936
"43541" 2864563 15896.4 1037 2864562 15896.4 1036
"43541" 2864639 16244.5 1113 2864638 16244.5 1112
"43541" 2864837 17133.2 1311 2864836 17133.2 1310
"43541" 2865080 18161.9 1554 2865079 18161.9 1553
"43541" 2865105 18472.3 1579 2865104 18472.3 1578
"43541" 2865155 18976.3 1629 2865154 18976.3 1628
"43541" 2865302 19673.4 1776 2865301 19673.4 1775
"43541" 2865531 21285.9 2005 2865530 21285.9 2004
"43541" 2865607 22756.6 2081 2865606 22756.6 2080
"43541" 2865683 24227.3 2157 2865682 24227.3 2156
"43541" 2865722 24719.6 2196 2865721 24719.6 2195
"43541" 2865739 25292.2 2213 2865738 25292.2 2212
"43541" 2865758 25625.9 2232 2865757 25625.9 2231
"43541" 2865846 26736.7 2320 2865845 26736.7 2319
"43541" 2865933 27236.5 2407 2865932 27236.5 2406
"43541" 2865982 28436.1 2456 2865981 28436.1 2455
"43541" 2866021 28928.5 2495 2866020 28928.5 2494
"43541" 2866072 29639.4 2546 2866071 29639.4 2545
"43541" 2866303 30811.2 2777 2866302 30811.2 2776
"43541" 2866379 31159.3 2853 2866378 31159.3 2852
"43541" 2866479 31754.1 2953 2866478 31754.1 2952
"43541" 2866579 32348.9 3053 2866578 32348.9 3052
"43541" 2866655 32697.0 3129 2866654 32697.0 3128
"43541" 2866853 33585.6 3327 2866852 33585.6 3326
"43541" 2867137 35228.5 3611 2867136 35228.5 3610
"43541" 2867190 35967.9 3664 2867189 35967.9 3663
"43541" 2867221 36552.2 3695 2867220 36552.2 3694
"43541" 2867252 37136.6 3726 2867251 37136.6 3725
"43537" 3050894 310.3 26 3050893 310.3 25
"43537" 3050907 811.7 39 3050906 811.7 38
"43537" 3050946 1779.8 78 3050945 1779.8 77
"43537" 3050990 3184.3 122 3050989 3184.3 121
expired_calendar WARNING 60

expired_calendar

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

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

You can see more about this notice here.

Only the first 50 of 60 affected records are displayed below.

csvRowNumber (?) The row of the faulty record. serviceId (?) The service id of the faulty record.
10382 "17222"
8943 "31530"
6 "1076"
7446 "17343"
2943 "2499"
23 "43774"
1485 "1256"
5967 "1294"
10383 "24602"
2 "1339"
2940 "2685"
10380 "12709"
4446 "1379"
5991 "2737"
7439 "2766"
1498 "60347"
8 "1461"
7450 "47502"
10371 "678"
8938 "2814"
5995 "2849"
5996 "2852"
7441 "2850"
4461 "2980"
7440 "2975"
2941 "2974"
8937 "2972"
5966 "973"
7463 "60928"
7460 "60959"
6005 "47985"
10376 "1954"
2962 "60890"
10378 "3000"
2942 "3012"
8945 "20239"
10384 "20237"
10385 "13033"
1490 "13105"
11 "2009"
13 "2022"
7455 "48071"
24 "48073"
5983 "2066"
7454 "48062"
4459 "2111"
7438 "2123"
5985 "2137"
2934 "2158"
2937 "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.
14999 "8093432" "17272" 196.9887428340989 3.283145713901648 234070 17 "99227" "Krekenava" "14:03:00" 234071 18 "99243" "Rabikiai" "14:03:00"
8096 "8091136" "17220" 196.9887428340989 3.283145713901648 215305 17 "98468" "Krekenava" "14:03:00" 215306 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.
30 "2699" "7597128"
31 "2699" "7597129"
32 "2699" "7597130"
33 "2699" "7597131"
34 "2699" "7597132"
58 "2699" "7597133"
59 "2699" "7597134"
60 "2699" "7597135"
61 "2699" "7597136"
62 "2699" "7597137"
63 "2699" "7597138"
64 "2699" "7597139"
2507 "2699" "7597140"
2508 "2699" "7597141"
2509 "2699" "7597142"
2510 "2699" "7597143"
2511 "2699" "7597144"
2512 "2699" "7597145"
2513 "2699" "7597146"
2554 "2699" "7597125"
2564 "2699" "7597147"
2575 "2699" "7597148"
2576 "2699" "7597149"
2587 "2699" "7597150"
2588 "2699" "7597151"
2589 "2699" "7597153"
2590 "2699" "7597154"
2597 "2699" "7597155"
2598 "2699" "7597156"
2599 "2699" "7597157"
2600 "2699" "7597158"
2601 "2699" "7597159"
2602 "2699" "7597160"
2603 "2699" "7597161"
2609 "2699" "7597162"
2610 "2699" "7597163"
2617 "2699" "7597164"
2620 "2699" "7597165"
2621 "2699" "7597166"
2622 "2699" "7597167"
12468 "2699" "7597169"
12518 "2699" "7597186"
12556 "2699" "7597187"
12557 "2699" "7597188"
12560 "2699" "7597189"
12619 "2699" "7597190"
12620 "2699" "7597191"
12621 "2699" "7597192"
12622 "2699" "7597193"
12623 "2699" "7597194"
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 1033

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 1033 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\"" 37
"routes.txt" "route_long_name" "RIMKAI-MAXIMA-ŠVEICARIJA" 189
"routes.txt" "route_long_name" "JONAVA-GAIŽIŪNŲ STOTIS" 190
"routes.txt" "route_long_name" "JONAVA-JUŠKONYS" 191
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS, KANDRĖNUS, LAIČIUS" 236
"routes.txt" "route_short_name" "518_VLP" 265
"routes.txt" "route_short_name" "1A_VLP" 281
"routes.txt" "route_short_name" "523_VLP" 282
"routes.txt" "route_long_name" "JONAVA-KAUNAS" 359
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-GLOBOS NAMAI-RIMKAI" 360
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 369
"routes.txt" "route_long_name" "JONAVA-KULVA PER JUODMENĄ" 371
"routes.txt" "route_long_name" "JONAVA-BUKONYS" 375
"routes.txt" "route_long_name" "JONAVA-PREIŠIOGALĖLĖ-ŽINĖNAI-JONAVA" 385
"routes.txt" "route_short_name" "2_VLP" 430
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 511
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER KANDRĖNUS, LAIČIUS" 529
"routes.txt" "route_long_name" "JONAVA-ŠĖTA" 544
"routes.txt" "route_long_name" "JONAVA-KULVA" 545
"routes.txt" "route_long_name" "JONAVA-RUKLA" 685
"routes.txt" "route_long_name" "JONAVA - PAGELEŽIAI" 691
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 695
"routes.txt" "route_long_name" "JONAVA-KUIGALIAI PER NAUJASODĮ" 850
"routes.txt" "route_long_name" "KUPIŠKIS - ANTAŠAVA" 885
"routes.txt" "route_short_name" "2A_VLP" 900
"routes.txt" "route_long_name" "JONAVA-KĖDAINIAI" 989
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI" 990
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 993
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI-BUKONYS-ŠILAI-JONAVA" 996
"routes.txt" "route_long_name" "KUPIŠKIS – ŠIMONYS PER MIGONIS" 1013
"routes.txt" "route_short_name" "1_VLP" 1058
"routes.txt" "route_long_name" "KUPIŠKIS – PANEVĖŽYS" 1082
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS" 1101
"routes.txt" "route_long_name" "JONAVA-UPININKAI" 1145
"routes.txt" "route_long_name" "JONAVA-ŽEIMIAI" 1148
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-JUODMENA-RIMKAI" 1149
"routes.txt" "route_long_name" "KUPIŠKIS – VAINIŪNIŠKIS (PER PALĖVENĖLĘ) – KUPIŠKIS" 1163
"routes.txt" "route_long_name" "JONAVA-ŽINĖNAI-PREIŠIOGALĖLĖ-JONAVA" 1177
"routes.txt" "route_short_name" "4_VLP" 1214
"routes.txt" "route_short_name" "3_VLP" 1215
"routes.txt" "route_short_name" "787_VLP" 1220
"routes.txt" "route_short_name" "5_VLP" 1222
"routes.txt" "route_long_name" "KUPIŠKIS – ALIZAVA PER PALĖVENĖLĘ – KUPIŠKIS" 1248
"routes.txt" "route_long_name" "KUPIŠKIS – LAIČIAI PER KANDRĖNUS, SKAPIŠKIO MSTL." 1253
"routes.txt" "route_long_name" "KUPIŠKIS – SUBAČIAUS MST. PER LUKONIS" 1279
"stops.txt" "stop_name" "9-ojo forto muziejus" 42
"stops.txt" "stop_name" "2-asis fortas" 201
"stops.txt" "stop_name" "VDU klasikinio ugdymo licėjus B" 422
"stops.txt" "stop_name" "4-asis fortas B" 475
"stops.txt" "stop_name" "VDU klasikinio ugdymo licėjus A" 504
stop_too_far_from_shape WARNING 60

stop_too_far_from_shape

Stop too far from trip shape.

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

You can see more about this notice here.

Only the first 50 of 60 affected records are displayed below.

tripCsvRowNumber (?) The row number of the faulty record from `trips.txt`. shapeId (?) The id of the shape that is referred to. tripId (?) The id of the trip that is referred to. stopTimeCsvRowNumber (?) The row number of the faulty record from `stop_times.txt`. stopId (?) The id of the stop that is referred to. stopName (?) The name of the stop that is referred to. match (?) Latitude and longitude pair of the location. geoDistanceToShape (?) Distance from stop to shape.
19390 "3636" "45756" 3497 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
19391 "3651" "45771" 3526 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
19035 "3653" "45773" 3527 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
11428 "43544" "8124133" 386525 "9340" "Mokykla" [55.512857000000004,26.315831] 134.01174852768767
11540 "43548" "8124139" 386563 "8484" "Mokykla" [55.513561,26.317414] 128.25393944619788
13540 "26974" "7317010" 32216 "14216" "Glaudžiai" [55.90637400000001,21.877556999999996] 1731.1842381583824
13540 "26974" "7317010" 32217 "10163" "Glaudžiai I" [55.90637400000001,21.877556999999996] 935.5388323636666
13540 "26974" "7317010" 32232 "19491" "Plungės autobusų stotis" [55.918779,21.851513000000004] 152.03315218543798
7616 "29329" "7418310" 39542 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
15701 "29328" "7418309" 39519 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
4581 "37814" "7870743" 65870 "91339" "Sūduva" [54.57502093577935,23.37188570151982] 108.83359346294479
4932 "6003" "52856" 6160 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
4901 "6005" "52858" 6169 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
4914 "6004" "52857" 6165 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
4685 "6007" "52859" 6176 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
4919 "6008" "52860" 6181 "8356" "Plinkšės" [56.146646000000004,22.177096] 708.0755710896237
2946 "18654" "3218451" 22202 "67434" "Geluva" [55.249732,23.511073] 140.46827403515317
22198 "32206" "7476583" 45437 "48065" "Troškūnų g." [55.521214350005486,25.097709664383384] 523.8519190658676
22198 "32206" "7476583" 45438 "48066" "Geležinkelio stotis" [55.526276,25.103853] 785.72734673045
22198 "32206" "7476583" 45439 "48068" "Kalno parduotuvė" [55.526598,25.099623999999995] 574.8082135251354
22198 "32206" "7476583" 45442 "48071" "Pušyno mikrorajonas" [55.521132,25.115296] 658.3695095777266
22198 "32206" "7476583" 45447 "48070" "Žiburio g." [55.525912999999996,25.113931000000004] 146.43308427108235
19079 "3899" "46086" 3635 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
19359 "3014" "43694" 2660 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
19202 "37872" "7870674" 64474 "91654" "Kūlokai" [54.450829999999996,23.395002] 3378.2526672161835
14363 "29420" "7429613" 40079 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
19378 "4529" "46899" 4305 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
19387 "4527" "47691" 5336 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
19351 "4528" "47692" 5337 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
2758 "14622" "7150732" 31290 "14754" "Naiviai" [55.84397975379556,25.145549112350125] 765.6219655883444
19369 "2821" "45017" 3421 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
6371 "29615" "7432118" 40567 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
15565 "29616" "7432119" 40615 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
1861 "21886" "8128860" 388842 "5846" "Grūtas" [54.032271447911626,24.074587772943918] 103.01117636409927
1352 "21885" "8128831" 388417 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
15976 "21887" "8128811" 388110 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
1852 "21891" "8128924" 389849 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
1794 "21865" "8128916" 389696 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
1349 "21872" "8128828" 388356 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
19668 "3339" "46943" 4306 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
2105 "45952" "8148145" 420878 "70878" "Šveicarija" [55.04546,24.25836] 149.18478145589043
4771 "11705" "747606" 14578 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
4942 "6511" "54507" 8746 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
4657 "6509" "54501" 8692 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
4944 "6513" "54509" 8770 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
2846 "29093" "7413976" 37381 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
2845 "29092" "7413975" 37351 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
5612 "5232" "56646" 8872 "14684" "Lieplaukalė" [55.9354974471734,21.831098374058865] 152.04079667279404
9247 "27242" "7322653" 33601 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
9244 "27240" "7322650" 33555 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
stops_match_shape_out_of_order WARNING 13

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.
5348 "3645" "57657" 10887 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 10886 "12152" "Jonaičiai" [55.34641499999999,21.570023]
5325 "3667" "57730" 11026 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 11025 "13926" "Jonaičiai" [55.346103,21.568929]
4955 "3714" "57735" 11084 "13926" "Jonaičiai" [55.346103,21.568929] 11083 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
18974 "13808" "1228372" 16309 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 16308 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
4298 "17480" "2657524" 20885 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 20884 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
14960 "28435" "7339430" 34973 "64819" "Suostas" [56.32837413018391,24.713657886432735] 34972 "16112" "Svydžiai" [56.352930797976754,24.686322368913352]
14959 "28434" "7339429" 34949 "10057" "Svydžiai" [56.35334128457164,24.685572701413516] 34948 "64820" "Suostas" [56.32837775901334,24.713656830174433]
5322 "6591" "57635" 10547 "13926" "Jonaičiai" [55.346103,21.568929] 10546 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
4949 "3554" "57640" 10625 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 10624 "12152" "Jonaičiai" [55.34641499999999,21.570023]
7841 "29102" "7413991" 37475 "71231" "Žuvintai" [54.448579423202126,23.62330650767253] 37474 "71255" "Litvanciškai" [54.41436513808293,23.67340583550103]
13599 "40377" "8016002" 97611 "72301" "Kirlikai" [55.32834500402225,21.565359093761266] 97610 "97223" "Tarvydai I" [55.328604,21.56423]
16149 "40378" "8016003" 97620 "71683" "Tarvydai II" [55.31814711876975,21.598011981975805] 97619 "97223" "Tarvydai I" [55.328604,21.56423]
5585 "5353" "57618" 10375 "13926" "Jonaičiai" [55.346103,21.568929] 10374 "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