GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2026-02-06T06:09:28+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: 41
  • Blocks: 0
  • Routes: 1412
  • Shapes: 3676
  • Stops: 13625
  • Trips: 22725

Specification Compliance report

120527 notices reported (0 errors, 120494 warnings, 33 infos)

Notice Code Severity Total
duplicate_route_name WARNING 43

duplicate_route_name

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

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

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

Example of bad data:

route_id route_short_name route_long_name
route1 U1 Southern
route2 U1 Southern

You can see more about this notice here.

csvRowNumber1 (?) The row number of the first occurrence. routeId1 (?) The id of the the first occurrence. csvRowNumber2 (?) The row number of the other occurrence. routeId2 (?) The id of the the other occurrence. routeShortName (?) Common `routes.route_short_name`. routeLongName (?) Common `routes.route_long_name`. routeTypeValue (?) Common `routes.route_type`. agencyId (?) Common `routes.agency_id`.
148 "18985" 158 "18966" "M-151(A)" "Kaunas-Urban HUB-LEZ-Kaunas" 3 "14"
228 "6209" 338 "18329" "M1" "Alytus - Geniai" 3 "48"
329 "19004" 519 "18989" "M-189" "Kaunas - Drąseikiai - Batėgala" 3 "14"
330 "19019" 524 "19035" "M-179" "Kaunas-Vaišvydava-Viršužiglis-Arlaviškės" 3 "14"
523 "19026" 525 "19031" "M-154" "Čekiškė - Daugėliškiai - Vilkija - Kaunas" 3 "14"
526 "19023" 535 "18982" "M-108" "Kaunas-Ireniškiai-Seniava" 3 "14"
341 "19033" 669 "19024" "M-199" "Kaunas-Voškoniai-Vandžiogala-Labūnava" 3 "14"
331 "18980" 670 "19021" "M-156" "Kaunas - Neveronys" 3 "14"
532 "18997" 680 "18981" "M-198" "Kaunas - Vandžiogala - Boniškiai" 3 "14"
533 "19018" 683 "18998" "M-140" "Kauno pilis-Garliava-Mastaičiai-Kampiškiai" 3 "14"
157 "19001" 690 "18979" "M-166" "Kaunas-Kačerginė-Zapyškis-Šėtijų stotelė" 3 "14"
531 "18968" 694 "18977" "M-197" "Kaunas-Babtai-Panevėžiukas (SB\"Vija\")" 3 "14"
353 "19020" 698 "18967" "M-168" "Kaunas-Šilainiai-Giraitė-Užliedžiai" 3 "14"
693 "19038" 701 "19013" "M-168" "Kaunas-Giraitė-Užliedžiai-Babtai-Vosiškiai" 3 "14"
137 "19027" 856 "18965" "M-157" "Kaunas-Kačerginė-Zapyškis-Ežerėlis" 3 "14"
697 "18987" 857 "18970" "M-168" "Vosiškiai-Babtai" 3 "14"
681 "19040" 858 "19005" "M-146" "Kaunas-Žiegždriai" 3 "14"
699 "18990" 869 "18984" "M-104" "Kaunas-Ražiškiai-Karkazai-Kreidos g.-Seniava" 3 "14"
850 "16052" 967 "6212" "M23" "Alytus - Punia - Butrimonys - Eigirdonys" 3 "48"
668 "19006" 1018 "19012" "M-148" "Kaunas-Domeikava-SB\"Didžiosios Lapės\"" 3 "14"
1017 "18999" 1019 "18976" "M-165" "Kaunas-Kačerginė-Zapyškis-Lekėčiai" 3 "14"
518 "18969" 1020 "19022" "M-172" "Kaunas-Margininkai-Piliuona-Pakuonis" 3 "14"
1031 "19029" 1032 "19034" "M-180" "Kaunas-Ringaudai-Tabariškiai-Girininkai" 3 "14"
707 "19039" 1206 "18964" "M-101A" "Kauno pilis-Šilainiai-Giraitė-Užliedžiai" 3 "14"
147 "18993" 1207 "19011" "M-149" "Kaunas-Vaišvydava-Gervėnupis" 3 "14"
1205 "18975" 1215 "19028" "M-180A" "Kaunas-Akademija-Bajorai-Girininkų miškas" 3 "14"
1040 "18974" 1216 "19032" "M-163" "Kaunas-Babtai-Labūnava" 3 "14"
1204 "18996" 1218 "19008" "M-151" "Kaunas-Ramučiai" 3 "14"
361 "19067" 1222 "19066" "M-152" "Kauno g.-Poliklinika-Birštono seniūnija" 3 "58"
166 "19002" 1224 "18961" "M-120" "Karmėlava-Ramučiai" 3 "14"
385 "3645" 1256 "8681" "144" "Vilnius (Žalgirio stotelė) – Nemenčinė per Pikeliškes" 3 "53"
700 "19003" 1374 "19014" "M-153" "Kaunas-Vilkija-Liučiūnai-Čekiškė" 3 "14"
692 "18962" 1375 "18988" "M-150" "Kaunas-Ramučiai-Karmėlava-Salupiai-SB\"Inkaras\"" 3 "14"
682 "19007" 1376 "19030" "M-106" "Kaunas-Jonučiai-Garliava-Jurginiškiai" 3 "14"
845 "18991" 1377 "18971" "M-101" "Kauno pilis-Giraitė-Užliedžiai" 3 "14"
679 "19009" 1383 "18995" "M-103" "Kauno pilis-SB\"Lokomotyvas\"" 3 "14"
859 "18986" 1385 "18978" "M-181" "Kaunas-Noreikiškės-Ringaudai-Tabariškiai-Gelžkeliuko g." 3 "14"
865 "19016" 1394 "19037" "M-170" "Kaunas-Vilkija-Purviškiai-Čekiškė" 3 "14"
868 "18963" 1395 "18992" "M-167" "Kaunas-Raudondvaris-Padauguva-Vilkija" 3 "14"
348 "18972" 1397 "19025" "M-120" "Kaunas-Karmėlavos kapinės" 3 "14"
867 "18983" 1398 "19036" "M-135" "Kaunas - Rokai - Girininkai" 3 "14"
342 "19000" 1401 "19010" "M-166" "Kaunas-Raudondvario pl.-Ringaudai-Tabariškiai" 3 "14"
866 "18994" 1402 "19017" "M-194" "Kauno pilis-Garliava-Linksmakalnis" 3 "14"
equal_shape_distance_diff_coordinates_distance_below_threshold WARNING 4151

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 4151 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" 506023 29882.7 878 506022 29882.7 877 0.12791084993239907
"2328" 410841 35929.8 642 410840 35929.8 641 0.11119510090982554
"3659" 501073 49657.5 1177 501072 49657.5 1176 0.12791084993239907
"42205" 3198443 57850.1 335 3198442 57850.1 334 0.06178544815632574
"2369" 396090 63265.5 1261 396089 63265.5 1260 0.11119510090982554
"2385" 611095 69168.3 1771 611094 69168.3 1770 0.06441976500794575
"28733" 2307586 71509.2 1569 2307585 71509.2 1568 0.06441976500794575
"1919" 776960 136875.8 2842 776959 136875.8 2841 0.12752942403551987
"1919" 776963 136876.0 2845 776962 136876.0 2844 0.11119510090982554
"1919" 776970 136876.5 2852 776969 136876.5 2851 0.11119510232447394
"1919" 776973 136876.7 2855 776972 136876.7 2854 0.11119510161714974
"1919" 776976 136876.9 2858 776975 136876.9 2857 0.12752941555597483
"1919" 776985 136877.5 2867 776984 136877.5 2866 0.11119510090982554
"1919" 776988 136877.7 2870 776987 136877.7 2869 0.11119510161714974
"1919" 776991 136877.9 2873 776990 136877.9 2872 0.11119510090982554
"1919" 776998 136878.4 2880 776997 136878.4 2879 0.11119510090982554
"1919" 777001 136878.6 2883 777000 136878.6 2882 0.11119510161714974
"1919" 777010 136879.2 2892 777009 136879.2 2891 0.11119510090982554
"1919" 777013 136879.4 2895 777012 136879.4 2894 0.12752939825777979
"1919" 777016 136879.6 2898 777015 136879.6 2897 0.11119510161714974
"1919" 777025 136880.2 2907 777024 136880.2 2906 0.11119510161714974
"1919" 777029 136880.5 2911 777028 136880.5 2910 0.06244513630731429
"1919" 777035 136880.9 2917 777034 136880.9 2916 0.11119510161714974
"1919" 777038 136881.1 2920 777037 136881.1 2919 0.11119510090982554
"1919" 777041 136881.3 2923 777040 136881.3 2922 0.11119510090982554
"1919" 777050 136881.9 2932 777049 136881.9 2931 0.12752938095958766
"1919" 777053 136882.1 2935 777052 136882.1 2934 0.11119510161714974
"1919" 777064 136882.8 2946 777063 136882.8 2945 0.11119510161714974
"1919" 777069 136883.1 2951 777068 136883.1 2950 0.11119510161714974
"1919" 777077 136883.6 2959 777076 136883.6 2958 0.11119510090982554
"1919" 777082 136883.9 2964 777081 136883.9 2963 0.11119510090982554
"1919" 777095 136884.7 2977 777094 136884.7 2976 0.11119510161714974
"1919" 777097 136884.8 2979 777096 136884.8 2978 0.11119510090982554
"1919" 777100 136885.0 2982 777099 136885.0 2981 0.11119510161714974
"1919" 777108 136885.5 2990 777107 136885.5 2989 0.1275293557985862
"1919" 777110 136885.6 2992 777109 136885.6 2991 0.11119510161714974
"1919" 777113 136885.8 2995 777112 136885.8 2994 0.11119510090982554
"1919" 777115 136885.9 2997 777114 136885.9 2996 0.11119510232447394
"1919" 777121 136886.3 3003 777120 136886.3 3002 0.06244505260741443
"1919" 777126 136886.6 3008 777125 136886.6 3007 0.11119510161714974
"1919" 777128 136886.7 3010 777127 136886.7 3009 0.11119510090982554
"1919" 777131 136886.9 3013 777130 136886.9 3012 0.11119510090982554
"1919" 777133 136887.0 3015 777132 136887.0 3014 0.11119510090982554
"1919" 777139 136887.4 3021 777138 136887.4 3020 0.11119510090982554
"1919" 777141 136887.5 3023 777140 136887.5 3022 0.11119510161714974
"1919" 777144 136887.7 3026 777143 136887.7 3025 0.11119510090982554
"1919" 777146 136887.8 3028 777145 136887.8 3027 0.11119510161714974
"1919" 777157 136888.5 3039 777156 136888.5 3038 0.11119510161714974
"1919" 777159 136888.6 3041 777158 136888.6 3040 0.11119510090982554
"1919" 777162 136888.8 3044 777161 136888.8 3043 0.11119510090982554
equal_shape_distance_same_coordinates WARNING 14985

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 14985 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" 3015914 350.5 28 3015913 350.5 27
"43541" 3015925 811.7 39 3015924 811.7 38
"43541" 3015964 1779.8 78 3015963 1779.8 77
"43541" 3016008 3184.3 122 3016007 3184.3 121
"43541" 3016041 4418.1 155 3016040 4418.1 154
"43541" 3016057 4854.6 171 3016056 4854.6 170
"43541" 3016106 6561.9 220 3016105 6561.9 219
"43541" 3016142 7544.1 256 3016141 7544.1 255
"43541" 3016181 8757.6 295 3016180 8757.6 294
"43541" 3016198 9358.6 312 3016197 9358.6 311
"43541" 3016225 9709.1 339 3016224 9709.1 338
"43541" 3016271 10376.7 385 3016270 10376.7 384
"43541" 3016324 11116.1 438 3016323 11116.1 437
"43541" 3016355 11700.4 469 3016354 11700.4 468
"43541" 3016386 12284.8 500 3016385 12284.8 499
"43541" 3016647 14358.7 761 3016646 14358.7 760
"43541" 3016723 14706.8 837 3016722 14706.8 836
"43541" 3016823 15301.6 937 3016822 15301.6 936
"43541" 3016923 15896.4 1037 3016922 15896.4 1036
"43541" 3016999 16244.5 1113 3016998 16244.5 1112
"43541" 3017197 17133.2 1311 3017196 17133.2 1310
"43541" 3017440 18161.9 1554 3017439 18161.9 1553
"43541" 3017465 18472.3 1579 3017464 18472.3 1578
"43541" 3017515 18976.3 1629 3017514 18976.3 1628
"43541" 3017662 19673.4 1776 3017661 19673.4 1775
"43541" 3017891 21285.9 2005 3017890 21285.9 2004
"43541" 3017967 22756.6 2081 3017966 22756.6 2080
"43541" 3018043 24227.3 2157 3018042 24227.3 2156
"43541" 3018082 24719.6 2196 3018081 24719.6 2195
"43541" 3018099 25292.2 2213 3018098 25292.2 2212
"43541" 3018118 25625.9 2232 3018117 25625.9 2231
"43541" 3018206 26736.7 2320 3018205 26736.7 2319
"43541" 3018293 27236.5 2407 3018292 27236.5 2406
"43541" 3018342 28436.1 2456 3018341 28436.1 2455
"43541" 3018381 28928.5 2495 3018380 28928.5 2494
"43541" 3018432 29639.4 2546 3018431 29639.4 2545
"43541" 3018663 30811.2 2777 3018662 30811.2 2776
"43541" 3018739 31159.3 2853 3018738 31159.3 2852
"43541" 3018839 31754.1 2953 3018838 31754.1 2952
"43541" 3018939 32348.9 3053 3018938 32348.9 3052
"43541" 3019015 32697.0 3129 3019014 32697.0 3128
"43541" 3019213 33585.6 3327 3019212 33585.6 3326
"43541" 3019497 35228.5 3611 3019496 35228.5 3610
"43541" 3019550 35967.9 3664 3019549 35967.9 3663
"43541" 3019581 36552.2 3695 3019580 36552.2 3694
"43541" 3019612 37136.6 3726 3019611 37136.6 3725
"42206" 3198614 20641.7 108 3198613 20641.7 107
"42206" 3198637 24205.9 131 3198636 24205.9 130
"43537" 3210521 310.3 26 3210520 310.3 25
"43537" 3210534 811.7 39 3210533 811.7 38
expired_calendar WARNING 67

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 67 affected records are displayed below.

csvRowNumber (?) The row of the faulty record. serviceId (?) The service id of the faulty record.
6 "1076"
8733 "13743"
2188 "73341"
4293 "2499"
2135 "1256"
2131 "1271"
8698 "1294"
15153 "24602"
2 "1339"
4290 "2685"
15150 "12709"
6495 "1379"
8724 "2737"
10884 "2766"
2151 "60347"
8 "1461"
10897 "47502"
13010 "2814"
8728 "2849"
8729 "2852"
10886 "2850"
6510 "2980"
10885 "2975"
4291 "2974"
13009 "2972"
10910 "60928"
10906 "60959"
8742 "47985"
15144 "1954"
4318 "60890"
13018 "20239"
15154 "20237"
15152 "17222"
13016 "31530"
10892 "17343"
23 "43774"
15139 "678"
8697 "973"
60 "76307"
13064 "76308"
61 "76309"
15147 "3000"
4292 "3012"
15155 "13033"
2142 "13105"
10947 "76816"
11 "2009"
13 "2022"
10902 "48071"
25 "48073"
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.
19189 "21_APNV_416-45-3-250526-ab-1310" "17272" 196.9887428340989 3.283145713901648 214231 17 "99227" "Krekenava" "14:03:00" 214232 18 "99243" "Rabikiai" "14:03:00"
272 "65_APNV_416-45-3-250526-ab-1310" "17220" 196.9887428340989 3.283145713901648 195921 17 "98468" "Krekenava" "14:03:00" 195922 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.
1403 "2699" "7597130"
1423 "2699" "7597181"
1447 "2699" "7597150"
1526 "2699" "7597128"
1542 "2699" "7597186"
1651 "2699" "7597155"
1686 "2699" "7597146"
1962 "2699" "7597188"
1965 "2699" "7597203"
1971 "2699" "7597157"
2086 "2699" "7597127"
2146 "2699" "7597166"
2188 "2699" "7597177"
2236 "2699" "7597202"
2295 "2699" "7597125"
2363 "2699" "7597210"
2369 "2699" "7597201"
2370 "2699" "7597172"
2410 "2699" "7597164"
2415 "2699" "7597176"
2431 "2699" "7597137"
2481 "2699" "7597170"
2510 "2699" "7597140"
2560 "2699" "7597191"
2564 "2699" "7597133"
2626 "2699" "7597147"
2729 "2699" "7597160"
2775 "2699" "7597183"
2818 "2699" "7597148"
2887 "2699" "7597159"
2995 "2699" "7597194"
3004 "2699" "7597131"
3019 "2699" "7597163"
3159 "2699" "7597158"
3210 "2699" "7597180"
3317 "2699" "7597212"
3382 "2699" "7597162"
3473 "2699" "7597192"
3542 "2699" "7597167"
3545 "2699" "7597134"
3552 "2699" "7597206"
3677 "2699" "7597154"
3751 "2699" "7597143"
3757 "2699" "7597190"
3792 "2699" "7597204"
3832 "2699" "7597142"
3871 "2699" "7597136"
3905 "2699" "7597211"
3991 "2699" "7597178"
4064 "2699" "7597207"
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 1053

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 1053 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\"" 41
"routes.txt" "route_long_name" "RIMKAI-MAXIMA-ŠVEICARIJA" 95
"routes.txt" "route_long_name" "JONAVA-PREIŠIOGALĖLĖ-ŽINĖNAI-JONAVA" 100
"routes.txt" "route_long_name" "JONAVA-ŽEIMIAI" 101
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS, KANDRĖNUS, LAIČIUS" 279
"routes.txt" "route_long_name" "JONAVA-KAUNAS" 285
"routes.txt" "route_long_name" "JONAVA-KULVA PER JUODMENĄ" 286
"routes.txt" "route_long_name" "JONAVA-UPININKAI" 287
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 288
"routes.txt" "route_long_name" "ŽELVA - PUSNĖ" 298
"routes.txt" "route_long_name" "JONAVA-KULVA" 308
"routes.txt" "route_short_name" "40-DT" 327
"routes.txt" "route_short_name" "1A_VLP" 346
"routes.txt" "route_short_name" "523_VLP" 360
"routes.txt" "route_short_name" "518_VLP" 362
"routes.txt" "route_short_name" "2_VLP" 366
"routes.txt" "route_long_name" "JONAVA-ŽINĖNAI-PREIŠIOGALĖLĖ-JONAVA" 466
"routes.txt" "route_long_name" "JONAVA-ŠĖTA" 467
"routes.txt" "route_long_name" "JONAVA-KUIGALIAI PER NAUJASODĮ" 475
"routes.txt" "route_long_name" "JONAVA-JUŠKONYS" 476
"routes.txt" "route_short_name" "94AT" 494
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 554
"routes.txt" "route_short_name" "94-DC" 610
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER KANDRĖNUS, LAIČIUS" 611
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-GLOBOS NAMAI-RIMKAI" 627
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 753
"routes.txt" "route_short_name" "70AC" 754
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI" 794
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-JUODMENA-RIMKAI" 795
"routes.txt" "route_long_name" "JONAVA-RUKLA" 799
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI-BUKONYS-ŠILAI-JONAVA" 813
"routes.txt" "route_short_name" "2A_VLP" 888
"routes.txt" "route_long_name" "ŠIRVINTOS - UKMERGĖ - ŠIRVINTOS" 934
"routes.txt" "route_long_name" "KUPIŠKIS - ANTAŠAVA" 965
"routes.txt" "route_long_name" "JONAVA-GAIŽIŪNŲ STOTIS" 987
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 1000
"routes.txt" "route_short_name" "1_VLP" 1053
"routes.txt" "route_long_name" "KUPIŠKIS – PANEVĖŽYS" 1093
"routes.txt" "route_long_name" "KUPIŠKIS – ŠIMONYS PER MIGONIS" 1097
"routes.txt" "route_long_name" "ŽELVA - KIAUKLIAI" 1101
"routes.txt" "route_short_name" "50AB" 1120
"routes.txt" "route_long_name" "JONAVA-BUKONYS" 1146
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS" 1175
"routes.txt" "route_long_name" "JONAVA - PAGELEŽIAI" 1184
"routes.txt" "route_short_name" "4_VLP" 1231
"routes.txt" "route_short_name" "5_VLP" 1234
"routes.txt" "route_long_name" "KUPIŠKIS – VAINIŪNIŠKIS (PER PALĖVENĖLĘ) – KUPIŠKIS" 1251
"routes.txt" "route_long_name" "KUPIŠKIS – SUBAČIAUS MST. PER LUKONIS" 1285
"routes.txt" "route_long_name" "UKMERGĖ- MIŠNIŪNAI PER LIAUŠIUS" 1287
"routes.txt" "route_long_name" "KUPIŠKIS – ALIZAVA PER PALĖVENĖLĘ – KUPIŠKIS" 1304
stop_too_far_from_shape WARNING 62

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 62 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.
4780 "3636" "45756" 3023 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
3606 "3651" "45771" 3052 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
3454 "3653" "45773" 3053 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
3590 "43544" "8124133" 342425 "9340" "Mokykla" [55.512857000000004,26.315831] 134.01174852768767
4140 "43548" "8124139" 342463 "8484" "Mokykla" [55.513561,26.317414] 128.25393944619788
1411 "26974" "7317014" 36014 "14216" "Glaudžiai" [55.90637400000001,21.877556999999996] 1731.1842381583824
1411 "26974" "7317014" 36015 "10163" "Glaudžiai I" [55.90637400000001,21.877556999999996] 935.5388323636666
1411 "26974" "7317014" 36030 "19491" "Plungės autobusų stotis" [55.918779,21.851513000000004] 152.03315218543798
1831 "29329" "7418310" 43515 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
4603 "29328" "7418309" 43492 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
3014 "6003" "52856" 6005 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
5214 "6005" "52858" 6014 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
4080 "6004" "52857" 6010 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
1522 "6007" "52859" 6021 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
5199 "6008" "52860" 6026 "8356" "Plinkšės" [56.146646000000004,22.177096] 708.0755710896237
2674 "16822" "2392140" 20277 "8988" "Miškų urėdija" [56.223549,23.648672] 192.32046673726916
2314 "16821" "2392135" 20211 "8988" "Miškų urėdija" [56.223549,23.648672] 192.32046673726916
3388 "16823" "2392141" 20296 "15916" "Miškų urėdija" [56.223436,23.64902] 114.43864929834778
5593 "18654" "3218451" 22484 "67434" "Geluva" [55.249732,23.511073] 140.46827403515317
1635 "32206" "7476585" 49467 "48065" "Troškūnų g." [55.521214350005486,25.097709664383384] 523.8519190658676
1635 "32206" "7476585" 49468 "48066" "Geležinkelio stotis" [55.526276,25.103853] 785.72734673045
1635 "32206" "7476585" 49469 "48068" "Kalno parduotuvė" [55.526598,25.099623999999995] 574.8082135251354
1635 "32206" "7476585" 49472 "48071" "Pušyno mikrorajonas" [55.521132,25.115296] 658.3695095777266
1635 "32206" "7476585" 49477 "48070" "Žiburio g." [55.525912999999996,25.113931000000004] 146.43308427108235
5430 "3899" "46086" 3161 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
5133 "3014" "43694" 2186 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
19901 "37872" "61_49W" 70572 "91654" "Kūlokai" [54.450829999999996,23.395002] 3378.2526672161835
4175 "29420" "7429613" 44052 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
2850 "49117" "57_1170-20260204" 463206 "70878" "Šveicarija" [55.04546,24.25836] 149.18478145589043
3765 "4529" "46899" 3984 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
4491 "4527" "47691" 5173 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
6280 "4528" "47692" 5174 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
2268 "14622" "7150732" 35020 "14754" "Naiviai" [55.84397975379556,25.145549112350125] 765.6219655883444
4116 "2821" "45017" 2947 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
6025 "29615" "7432118" 44562 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
2580 "29616" "7432119" 44610 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
7834 "21886" "60_A2-02-1-241209-ba-1520" 64748 "5846" "Grūtas" [54.032271447911626,24.074587772943918] 103.01117636409927
8183 "21885" "60_A2-02-1-241209-ab-1550" 66068 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
17915 "21887" "60_A2-01-7-251110-ab3-1430" 343687 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
7937 "21891" "60_A2-02-1-241209-ab2-2020" 65780 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
17934 "21865" "60_A2-01-7-251110-b3a-0920" 343484 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
7957 "21872" "60_A2-02-1-241209-b2a-1940" 64355 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
2991 "3339" "46943" 3985 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
5294 "11705" "747606" 14652 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
3984 "6511" "54508" 8640 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
3911 "6509" "54501" 8574 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
5768 "6513" "54509" 8652 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
2297 "29093" "7413976" 41318 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
6083 "29092" "7413975" 41288 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
2650 "5232" "48165" 5448 "14684" "Lieplaukalė" [55.9354974471734,21.831098374058865] 152.04079667279404
stops_match_shape_out_of_order WARNING 12

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.
6719 "3645" "57657" 10853 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 10852 "12152" "Jonaičiai" [55.34641499999999,21.570023]
2676 "3667" "57730" 10992 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 10991 "13926" "Jonaičiai" [55.346103,21.568929]
1602 "3714" "57736" 11066 "13926" "Jonaičiai" [55.346103,21.568929] 11065 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
3156 "13808" "1228372" 16359 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 16358 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
2965 "28435" "7339430" 38810 "64819" "Suostas" [56.32837413018391,24.713657886432735] 38809 "16112" "Svydžiai" [56.352930797976754,24.686322368913352]
2252 "28434" "7339429" 38786 "10057" "Svydžiai" [56.35334128457164,24.685572701413516] 38785 "64820" "Suostas" [56.32837775901334,24.713656830174433]
1597 "6591" "57636" 10529 "13926" "Jonaičiai" [55.346103,21.568929] 10528 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
2696 "3554" "57643" 10657 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 10656 "12152" "Jonaičiai" [55.34641499999999,21.570023]
6024 "29102" "7413991" 41412 "71231" "Žuvintai" [54.448579423202126,23.62330650767253] 41411 "71255" "Litvanciškai" [54.41436513808293,23.67340583550103]
2354 "40377" "8016002" 93174 "72301" "Kirlikai" [55.32834500402225,21.565359093761266] 93173 "97223" "Tarvydai I" [55.328604,21.56423]
5437 "40378" "8016003" 93183 "71683" "Tarvydai II" [55.31814711876975,21.598011981975805] 93182 "97223" "Tarvydai I" [55.328604,21.56423]
2139 "5353" "57623" 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