GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2026-04-04T06:08:47+03:00,
for the dataset https://www.visimarsrutai.lt/gtfs/google_transit.zip. No country code was provided.

Use this report alongside our documentation.

⚠ This feed contains GTFS Flex features. Please note that GTFS Flex validation support is still in development. You can manually review all the validation rules for Flex data here.

A new version of the Canonical GTFS Schedule validator is available! Please update to get the latest/best validation results.

Summary

Agencies included


Feed Info


Publisher Name:
N/A
Publisher URL:
N/A
Feed Email:
N/A
Feed Language:
N/A

Files included


  1. agency.txt
  2. attributions.txt
  3. calendar.txt
  4. calendar_dates.txt
  5. fare_attributes.txt
  6. fare_rules.txt
  7. routes.txt
  8. shapes.txt
  9. stop_times.txt
  10. stops.txt
  11. trips.txt

Counts


  • Agencies: 52
  • Blocks: 0
  • Routes: 1566
  • Shapes: 4029
  • Stops: 14489
  • Trips: 20542

Specification Compliance report

123981 notices reported (0 errors, 123948 warnings, 33 infos)

Notice Code Severity Total
duplicate_route_name WARNING 44

duplicate_route_name

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

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

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

Example of bad data:

route_id route_short_name route_long_name
route1 U1 Southern
route2 U1 Southern

You can see more about this notice here.

csvRowNumber1 (?) The row number of the first occurrence. routeId1 (?) The id of the the first occurrence. csvRowNumber2 (?) The row number of the other occurrence. routeId2 (?) The id of the the other occurrence. routeShortName (?) Common `routes.route_short_name`. routeLongName (?) Common `routes.route_long_name`. routeTypeValue (?) Common `routes.route_type`. agencyId (?) Common `routes.agency_id`.
281 "20484" 282 "20481" "M-194" "Kauno pilis-Garliava-Linksmakalnis" 3 "14"
284 "20526" 285 "20527" "M-170" "Kaunas-Vilkija-Purviškiai-Čekiškė" 3 "14"
218 "18329" 304 "6209" "M1" "Alytus - Geniai" 3 "48"
19 "20460" 408 "20463" "M-101" "Kauno pilis-Giraitė-Ryto g.(Užliedžiai)" 3 "14"
271 "20469" 481 "20451" "M-150" "Kaunas-Ramučiai-Karmėlava-Salupiai-SB\"Inkaras\"" 3 "14"
92 "20511" 482 "20507" "M-179" "Kaunas-Vaišvydava-Viršužiglis-Arlaviškės" 3 "14"
669 "20502" 670 "20503" "M-103" "Kauno pilis-SB\"Lokomotyvas\"-Sitkūnai-Babtai" 3 "14"
606 "20458" 671 "20459" "M-197" "Kaunas-Babtai-Panevėžiukas (SB\"Vija\")" 3 "14"
279 "20486" 677 "20485" "M-151" "Kaunas-Ramučiai" 3 "14"
278 "20472" 678 "20470" "M-104" "Kaunas-Ražiškiai-Karkazai-Kreidos g.-Seniava" 3 "14"
286 "20492" 683 "20489" "M-120" "Karmėlava-Ramučiai" 3 "14"
407 "20471" 796 "20468" "M-156" "Kaunas - Neveronys" 3 "14"
410 "20452" 797 "20453" "M-157" "Kaunas-Kačerginė-Zapyškis-Ežerėlis" 3 "14"
275 "20509" 854 "20510" "M-140" "Kauno pilis-Garliava-Mastaičiai-Kampiškiai" 3 "14"
675 "20465" 855 "20461" "M-120" "Kaunas-Karmėlavos kapinės" 3 "14"
277 "20473" 858 "20479" "M-181" "Kaunas-Noreikiškės-Ringaudai-Tabariškiai-Gelžkeliuko g." 3 "14"
485 "20476" 859 "20491" "M-166" "Kaunas-Kačerginė-Zapyškis-Šėtijų stotelė" 3 "14"
283 "20474" 862 "20477" "M-168" "Vosiškiai-Babtai" 3 "14"
681 "20455" 863 "20456" "M-151(A)" "Kaunas-Urban HUB-LEZ-Kaunas" 3 "14"
91 "20364" 988 "20445" "M-152" "Kauno g.-Poliklinika-Birštono seniūnija" 3 "58"
856 "16052" 1030 "6212" "M23" "Alytus - Punia - Butrimonys - Eigirdonys" 3 "48"
1047 "20499" 1048 "20500" "M-148" "Kaunas-Domeikava-SB\"Didžiosios Lapės\"" 3 "14"
274 "20522" 1051 "20524" "M-199" "Kaunas-Voškoniai-Vandžiogala-Labūnava" 3 "14"
672 "20516" 1052 "20466" "M-163" "Kaunas-Babtai-Labūnava" 3 "14"
676 "20480" 1056 "20483" "M-149" "Kaunas-Vaišvydava-Gervėnupis" 3 "14"
487 "20504" 1057 "20505" "M-166" "Kaunas-Raudondvario pl.-Ringaudai-Tabariškiai" 3 "14"
1049 "20508" 1237 "20506" "M-168" "Kaunas-Linkuvos g.-Užliedžiai-Babtai-Vosiškiai" 3 "14"
273 "20494" 1238 "20490" "M-165" "Kaunas-Kačerginė-Zapyškis-Lekėčiai" 3 "14"
484 "20498" 1240 "20501" "M-159" "Kaunas-Mastaičiai-Pažėrai-SB\"Aronija\"-Smėlio g." 3 "14"
276 "20525" 1241 "20454" "M-135" "Kaunas - Rokai - Girininkai" 3 "14"
857 "20496" 1242 "20493" "M-153" "Kaunas-Vilkija-Liučiūnai-Čekiškė" 3 "14"
976 "20495" 1373 "20497" "M-146" "Kaunas-Žiegždriai" 3 "14"
207 "20450" 1374 "20457" "M-161" "Kaunas-Raudondvaris-Netoniai- Kulautuva" 3 "14"
409 "20520" 1375 "20523" "M-154" "Čekiškė - Daugėliškiai - Vilkija - Kaunas" 3 "14"
477 "3645" 1402 "8681" "144" "Vilnius (Žalgirio stotelė) – Nemenčinė per Pikeliškes" 3 "53"
480 "20482" 1458 "20462" "M-167" "Kaunas-Raudondvaris-SB\"Vejuona\"-Padauguva-Vilkija" 3 "14"
1053 "20475" 1460 "20478" "M-189" "Kaunas - Drąseikiai - Batėgala" 3 "14"
483 "20512" 1461 "20514" "M-172" "Kaunas-Margininkai-Piliuona-Pakuonis" 3 "14"
1239 "20518" 1463 "20521" "M-106" "Kaunas-Jonučiai-Garliava-Jurginiškiai" 3 "14"
1055 "20517" 1464 "20519" "M-180" "Kaunas-Ringaudai-Tabariškiai-Girininkai" 3 "14"
1465 "20487" 1466 "20488" "M-198" "Kaunas - Vandžiogala - Boniškiai" 3 "14"
1243 "20515" 1468 "20513" "M-108" "Kaunas-Ireniškiai-Seniava" 3 "14"
1459 "20467" 1469 "20464" "M-180A" "Kaunas-Akademija-Bajorai-Girininkų miškas" 3 "14"
1058 "20529" 1470 "20528" "M-101A" "Kauno pilis-Šilainiai-Ledos g.(Užliedžiai)" 3 "14"
equal_shape_distance_diff_coordinates_distance_below_threshold WARNING 4156

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 4156 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" 502398 29882.7 878 502397 29882.7 877 0.12791084993239907
"2328" 410101 35929.8 642 410100 35929.8 641 0.11119510090982554
"3659" 497448 49657.5 1177 497447 49657.5 1176 0.12791084993239907
"42205" 3555990 57850.1 335 3555989 57850.1 334 0.06178544815632574
"2369" 398905 63265.5 1261 398904 63265.5 1260 0.11119510090982554
"2385" 608362 69168.3 1771 608361 69168.3 1770 0.06441976500794575
"28733" 2407292 71509.2 1569 2407291 71509.2 1568 0.06441976500794575
"1919" 770953 136875.8 2842 770952 136875.8 2841 0.12752942403551987
"1919" 770956 136876.0 2845 770955 136876.0 2844 0.11119510090982554
"1919" 770963 136876.5 2852 770962 136876.5 2851 0.11119510232447394
"1919" 770966 136876.7 2855 770965 136876.7 2854 0.11119510161714974
"1919" 770969 136876.9 2858 770968 136876.9 2857 0.12752941555597483
"1919" 770978 136877.5 2867 770977 136877.5 2866 0.11119510090982554
"1919" 770981 136877.7 2870 770980 136877.7 2869 0.11119510161714974
"1919" 770984 136877.9 2873 770983 136877.9 2872 0.11119510090982554
"1919" 770991 136878.4 2880 770990 136878.4 2879 0.11119510090982554
"1919" 770994 136878.6 2883 770993 136878.6 2882 0.11119510161714974
"1919" 771003 136879.2 2892 771002 136879.2 2891 0.11119510090982554
"1919" 771006 136879.4 2895 771005 136879.4 2894 0.12752939825777979
"1919" 771009 136879.6 2898 771008 136879.6 2897 0.11119510161714974
"1919" 771018 136880.2 2907 771017 136880.2 2906 0.11119510161714974
"1919" 771022 136880.5 2911 771021 136880.5 2910 0.06244513630731429
"1919" 771028 136880.9 2917 771027 136880.9 2916 0.11119510161714974
"1919" 771031 136881.1 2920 771030 136881.1 2919 0.11119510090982554
"1919" 771034 136881.3 2923 771033 136881.3 2922 0.11119510090982554
"1919" 771043 136881.9 2932 771042 136881.9 2931 0.12752938095958766
"1919" 771046 136882.1 2935 771045 136882.1 2934 0.11119510161714974
"1919" 771057 136882.8 2946 771056 136882.8 2945 0.11119510161714974
"1919" 771062 136883.1 2951 771061 136883.1 2950 0.11119510161714974
"1919" 771070 136883.6 2959 771069 136883.6 2958 0.11119510090982554
"1919" 771075 136883.9 2964 771074 136883.9 2963 0.11119510090982554
"1919" 771088 136884.7 2977 771087 136884.7 2976 0.11119510161714974
"1919" 771090 136884.8 2979 771089 136884.8 2978 0.11119510090982554
"1919" 771093 136885.0 2982 771092 136885.0 2981 0.11119510161714974
"1919" 771101 136885.5 2990 771100 136885.5 2989 0.1275293557985862
"1919" 771103 136885.6 2992 771102 136885.6 2991 0.11119510161714974
"1919" 771106 136885.8 2995 771105 136885.8 2994 0.11119510090982554
"1919" 771108 136885.9 2997 771107 136885.9 2996 0.11119510232447394
"1919" 771114 136886.3 3003 771113 136886.3 3002 0.06244505260741443
"1919" 771119 136886.6 3008 771118 136886.6 3007 0.11119510161714974
"1919" 771121 136886.7 3010 771120 136886.7 3009 0.11119510090982554
"1919" 771124 136886.9 3013 771123 136886.9 3012 0.11119510090982554
"1919" 771126 136887.0 3015 771125 136887.0 3014 0.11119510090982554
"1919" 771132 136887.4 3021 771131 136887.4 3020 0.11119510090982554
"1919" 771134 136887.5 3023 771133 136887.5 3022 0.11119510161714974
"1919" 771137 136887.7 3026 771136 136887.7 3025 0.11119510090982554
"1919" 771139 136887.8 3028 771138 136887.8 3027 0.11119510161714974
"1919" 771150 136888.5 3039 771149 136888.5 3038 0.11119510161714974
"1919" 771152 136888.6 3041 771151 136888.6 3040 0.11119510090982554
"1919" 771155 136888.8 3044 771154 136888.8 3043 0.11119510090982554
equal_shape_distance_same_coordinates WARNING 19129

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 19129 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" 3319706 350.5 28 3319705 350.5 27
"43541" 3319717 811.7 39 3319716 811.7 38
"43541" 3319756 1779.8 78 3319755 1779.8 77
"43541" 3319800 3184.3 122 3319799 3184.3 121
"43541" 3319833 4418.1 155 3319832 4418.1 154
"43541" 3319849 4854.6 171 3319848 4854.6 170
"43541" 3319898 6561.9 220 3319897 6561.9 219
"43541" 3319934 7544.1 256 3319933 7544.1 255
"43541" 3319973 8757.6 295 3319972 8757.6 294
"43541" 3319990 9358.6 312 3319989 9358.6 311
"43541" 3320017 9709.1 339 3320016 9709.1 338
"43541" 3320063 10376.7 385 3320062 10376.7 384
"43541" 3320116 11116.1 438 3320115 11116.1 437
"43541" 3320147 11700.4 469 3320146 11700.4 468
"43541" 3320178 12284.8 500 3320177 12284.8 499
"43541" 3320439 14358.7 761 3320438 14358.7 760
"43541" 3320515 14706.8 837 3320514 14706.8 836
"43541" 3320615 15301.6 937 3320614 15301.6 936
"43541" 3320715 15896.4 1037 3320714 15896.4 1036
"43541" 3320791 16244.5 1113 3320790 16244.5 1112
"43541" 3320989 17133.2 1311 3320988 17133.2 1310
"43541" 3321232 18161.9 1554 3321231 18161.9 1553
"43541" 3321257 18472.3 1579 3321256 18472.3 1578
"43541" 3321307 18976.3 1629 3321306 18976.3 1628
"43541" 3321454 19673.4 1776 3321453 19673.4 1775
"43541" 3321683 21285.9 2005 3321682 21285.9 2004
"43541" 3321759 22756.6 2081 3321758 22756.6 2080
"43541" 3321835 24227.3 2157 3321834 24227.3 2156
"43541" 3321874 24719.6 2196 3321873 24719.6 2195
"43541" 3321891 25292.2 2213 3321890 25292.2 2212
"43541" 3321910 25625.9 2232 3321909 25625.9 2231
"43541" 3321998 26736.7 2320 3321997 26736.7 2319
"43541" 3322085 27236.5 2407 3322084 27236.5 2406
"43541" 3322134 28436.1 2456 3322133 28436.1 2455
"43541" 3322173 28928.5 2495 3322172 28928.5 2494
"43541" 3322224 29639.4 2546 3322223 29639.4 2545
"43541" 3322455 30811.2 2777 3322454 30811.2 2776
"43541" 3322531 31159.3 2853 3322530 31159.3 2852
"43541" 3322631 31754.1 2953 3322630 31754.1 2952
"43541" 3322731 32348.9 3053 3322730 32348.9 3052
"43541" 3322807 32697.0 3129 3322806 32697.0 3128
"43541" 3323005 33585.6 3327 3323004 33585.6 3326
"43541" 3323289 35228.5 3611 3323288 35228.5 3610
"43541" 3323342 35967.9 3664 3323341 35967.9 3663
"43541" 3323373 36552.2 3695 3323372 36552.2 3694
"43541" 3323404 37136.6 3726 3323403 37136.6 3725
"43531" 2255048 1036.1 44 2255047 1036.1 43
"43531" 2255077 1669.1 73 2255076 1669.1 72
"43531" 2255104 2285.2 100 2255103 2285.2 99
"43531" 2255145 4091.8 141 2255144 4091.8 140
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"
3100 "73341"
3057 "1256"
3053 "1271"
12425 "1294"
21560 "24601"
2 "1339"
21552 "12709"
9286 "1379"
9 "1461"
21546 "1954"
18511 "20239"
21555 "20237"
21554 "17222"
15517 "17343"
44 "76307"
18546 "76308"
45 "76309"
21556 "13033"
3066 "13105"
15551 "76816"
12 "2009"
14 "2022"
12443 "2066"
9299 "2111"
15508 "2123"
12445 "2137"
12485 "62494"
6144 "2158"
6147 "2175"
6149 "2173"
18496 "2206"
6150 "2205"
12447 "2218"
15506 "2217"
18499 "2216"
15502 "2213"
21545 "2224"
9302 "2285"
12460 "13743"
6154 "2499"
6151 "2685"
12451 "2737"
15509 "2766"
15522 "47502"
18503 "2814"
12455 "2849"
12456 "2852"
15511 "2850"
9301 "2980"
fast_travel_between_consecutive_stops WARNING 1

fast_travel_between_consecutive_stops

A transit vehicle moves too fast between two consecutive stops.

The speed threshold depends on route type:

Route type Description Threshold, km/h
0 Light rail 100
1 Subway 150
2 Rail 500
3 Bus 150
4 Ferry 80
5 Cable tram 30
6 Aerial lift 50
7 Funicular 50
11 Trolleybus 150
12 Monorail 150
- Unknown 200

You can see more about this notice here.

tripCsvRowNumber (?) The row number of the problematic trip. tripId (?) `trip_id` of the problematic trip. routeId (?) `route_id` of the problematic trip. speedKph (?) Travel speed (km/h). distanceKm (?) Distance between stops (km). csvRowNumber1 (?) The row number of the first stop time. stopSequence1 (?) `stop_sequence` of the first stop. stopId1 (?) `stop_id` of the first stop. stopName1 (?) `stop_name` of the first stop. departureTime1 (?) `departure_time` of the first stop. csvRowNumber2 (?) The row number of the second stop time. stopSequence2 (?) `stop_sequence` of the second stop. stopId2 (?) `stop_id` of the second stop. stopName2 (?) `stop_name` of the second stop. arrivalTime2 (?) `arrival_time` of the second stop.
8085 "21_APNV_416-45-3-250526-ab-1310" "17272" 196.9887428340989 3.283145713901648 180902 17 "99227" "Krekenava" "14:03:00" 180903 18 "99243" "Rabikiai" "14:03:00"
missing_bike_allowance WARNING 118

missing_bike_allowance

Ferry trips should include bike allowance information.

All ferry trips should have a valid value in the bikes_allowed field in trips.txt.

You can see more about this notice here.

Only the first 50 of 118 affected records are displayed below.

csvRowNumber (?) The row number of the faulty record. routeId (?) The faulty record's route id. tripId (?) The faulty record's trip id.
8199 "2699" "7597162"
8362 "2699" "7597178"
8619 "2699" "7597154"
8795 "2699" "7597149"
8852 "2699" "7597159"
8912 "2699" "7597158"
15187 "2699" "7597161"
15207 "2699" "7597151"
15235 "2699" "7597128"
15258 "2699" "7597186"
15274 "2699" "7597190"
15310 "2699" "7597204"
15362 "2699" "7597142"
15584 "2699" "7597207"
15625 "2699" "7597021"
15777 "2699" "7597155"
15824 "2699" "7597146"
15916 "2699" "7597198"
16054 "2699" "7597136"
16193 "2699" "7597184"
16299 "2699" "7597211"
16338 "2699" "7597208"
16583 "2699" "7597187"
16624 "2699" "7597156"
16648 "2699" "7597209"
16754 "2699" "7597188"
16757 "2699" "7597203"
16785 "2699" "7597141"
16813 "2699" "7597182"
16885 "2699" "7597189"
16903 "2699" "7597195"
16929 "2699" "7597171"
16964 "2699" "7597157"
17111 "2699" "7597126"
17147 "2699" "7597138"
17193 "2699" "7597132"
17292 "2699" "7597127"
17519 "2699" "7597196"
17543 "2699" "7597144"
17567 "2699" "7597166"
17624 "2699" "7597177"
17884 "2699" "7597202"
17959 "2699" "7597125"
18069 "2699" "7597193"
18078 "2699" "7597175"
18240 "2699" "7597210"
18248 "2699" "7597201"
18251 "2699" "7597172"
18270 "2699" "7597197"
18322 "2699" "7597199"
missing_recommended_file WARNING 1

missing_recommended_file

A recommended file is missing.

You can see more about this notice here.

filename (?) The name of the faulty file.
"feed_info.txt"
missing_timepoint_value WARNING 100000

missing_timepoint_value

stop_times.timepoint value is missing for a record.

Even though the column timepoint is optional in stop_times.txt according to the specification, stop_times.timepoint should not be empty when provided.

You can see more about this notice here.

Only the first 50 of 100000 affected records are displayed below.

csvRowNumber (?) The row number of the faulty record. tripId (?) The faulty record's `stop_times.trip_id`. stopSequence (?) The faulty record's `stop_times.stop_sequence`.
2 "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 367

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 367 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\"" 52
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-GLOBOS NAMAI-RIMKAI" 20
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 21
"routes.txt" "route_short_name" "3_VLP" 28
"routes.txt" "route_long_name" "ŠVENČIONYS-ŠUTONYS-ŠVENČIONYS" 82
"routes.txt" "route_long_name" "JONAVA-ŽEIMIAI" 208
"routes.txt" "route_short_name" "5_VLP" 216
"routes.txt" "route_long_name" "ŽELVA - PUSNĖ" 249
"routes.txt" "route_long_name" "ŠVENČIONYS-PABRADĖ-VILNIUS-PABRADĖ-ŠVENČIONYS" 303
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS, KANDRĖNUS, LAIČIUS" 383
"routes.txt" "route_short_name" "40-DT" 392
"routes.txt" "route_long_name" "JONAVA - PAGELEŽIAI" 411
"routes.txt" "route_short_name" "2_VLP" 415
"routes.txt" "route_long_name" "JONAVA-PREIŠIOGALĖLĖ-ŽINĖNAI-JONAVA" 419
"routes.txt" "route_short_name" "94AT" 495
"routes.txt" "route_long_name" "JONAVA-KULVA PER JUODMENĄ" 607
"routes.txt" "route_long_name" "RIMKAI-MAXIMA-ŠVEICARIJA" 608
"routes.txt" "route_long_name" "JONAVA-JUŠKONYS" 609
"routes.txt" "route_long_name" "JONAVA-GAIŽIŪNŲ STOTIS" 610
"routes.txt" "route_long_name" "JONAVA-KUIGALIAI PER NAUJASODĮ" 618
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 647
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 694
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER KANDRĖNUS, LAIČIUS" 716
"routes.txt" "route_short_name" "94-DC" 753
"routes.txt" "route_long_name" "JONAVA-KAUNAS" 798
"routes.txt" "route_long_name" "JONAVA-KĖDAINIAI" 799
"routes.txt" "route_long_name" "JONAVA-KULVA" 800
"routes.txt" "route_short_name" "4_VLP" 806
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 843
"routes.txt" "route_short_name" "70AC" 887
"routes.txt" "route_long_name" "JONAVA-RUKLA" 977
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI" 979
"routes.txt" "route_short_name" "1A_VLP" 981
"routes.txt" "route_long_name" "ŠIRVINTOS - UKMERGĖ - ŠIRVINTOS" 1039
"routes.txt" "route_long_name" "KUPIŠKIS - ANTAŠAVA" 1103
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 1135
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-JUODMENA-RIMKAI" 1180
"routes.txt" "route_long_name" "JONAVA-BUKONYS" 1181
"routes.txt" "route_short_name" "2A_VLP" 1184
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI-BUKONYS-ŠILAI-JONAVA" 1187
"routes.txt" "route_long_name" "ŠVENČIONYS-ADUTIŠKIS-JAKELIAI-ADUTIŠKIS-ŠVENČIONYS" 1191
"routes.txt" "route_long_name" "KUPIŠKIS – PANEVĖŽYS" 1200
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS" 1201
"routes.txt" "route_long_name" "ŽELVA - KIAUKLIAI" 1235
"routes.txt" "route_long_name" "PASVALYS-ŽILPAMŪŠIS PER TETIRVINUS" 1253
"routes.txt" "route_long_name" "KUPIŠKIS – ŠIMONYS PER MIGONIS" 1277
"routes.txt" "route_short_name" "50AB" 1320
"routes.txt" "route_long_name" "JONAVA-ŠĖTA" 1377
"routes.txt" "route_long_name" "JONAVA-UPININKAI" 1378
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 1379
stop_too_far_from_shape WARNING 51

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 51 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.
16363 "3636" "45756" 2854 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
15459 "3651" "45771" 2883 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
8579 "3653" "45773" 2884 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
15441 "43544" "8124133" 235401 "9340" "Mokykla" [55.512857000000004,26.315831] 134.01174852768767
16922 "43548" "8124139" 235439 "8484" "Mokykla" [55.513561,26.317414] 128.25393944619788
17064 "26974" "7317012" 39206 "14216" "Glaudžiai" [55.90637400000001,21.877556999999996] 1731.1842381583824
17064 "26974" "7317012" 39207 "10163" "Glaudžiai I" [55.90637400000001,21.877556999999996] 935.5388323636666
17064 "26974" "7317012" 39222 "19491" "Plungės autobusų stotis" [55.918779,21.851513000000004] 152.03315218543798
8222 "16822" "2392138" 25140 "8988" "Miškų urėdija" [56.223549,23.648672] 192.32046673726916
8204 "16821" "2392137" 25130 "8988" "Miškų urėdija" [56.223549,23.648672] 192.32046673726916
8205 "16823" "2392141" 25195 "15916" "Miškų urėdija" [56.223436,23.64902] 114.43864929834778
16631 "18654" "3218451" 28351 "67434" "Geluva" [55.249732,23.511073] 140.46827403515317
15316 "32206" "7476584" 50601 "48065" "Troškūnų g." [55.521214350005486,25.097709664383384] 523.8519190658676
15316 "32206" "7476584" 50602 "48066" "Geležinkelio stotis" [55.526276,25.103853] 785.72734673045
15316 "32206" "7476584" 50603 "48068" "Kalno parduotuvė" [55.526598,25.099623999999995] 574.8082135251354
15316 "32206" "7476584" 50606 "48071" "Pušyno mikrorajonas" [55.521132,25.115296] 658.3695095777266
15316 "32206" "7476584" 50611 "48070" "Žiburio g." [55.525912999999996,25.113931000000004] 146.43308427108235
18944 "3899" "46086" 2992 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
18528 "3014" "43694" 2017 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
17164 "29420" "7429613" 45378 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
15284 "4529" "46899" 3928 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
17804 "4527" "47691" 5442 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
18009 "4528" "47692" 5443 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
16655 "14622" "7150733" 38156 "14754" "Naiviai" [55.84397975379556,25.145549112350125] 765.6219655883444
15647 "2821" "45017" 2778 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
20095 "29615" "7432118" 45786 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
19397 "29616" "7432119" 45834 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
2508 "21886" "60_A2-02-1-241209-ba-0720" 76773 "5846" "Grūtas" [54.032271447911626,24.074587772943918] 103.01117636409927
103 "21885" "60_A2-01-7-251110-ab-0840" 236820 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
388 "21887" "60_A2-01-7-251110-ab3-1430" 236190 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
300 "21891" "60_A2-01-6-251110-ab2-0740" 238252 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
97 "21865" "60_A2-01-7-251110-b3a-0920" 235987 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
110 "21872" "60_A2-01-7-251110-b2a-0810" 236042 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
19594 "3339" "46943" 3929 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
16153 "4710" "47249" 4660 "4945" "Onuškis" [54.48374200000001,24.591959000000003] 103.16686496628398
16420 "4711" "47250" 4661 "4945" "Onuškis" [54.48374200000001,24.591959000000003] 103.16686496628398
17083 "11705" "747606" 18268 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
8352 "6511" "54508" 10624 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
16308 "6509" "54501" 10558 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
19670 "6513" "54509" 10636 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
17960 "29093" "7413976" 42969 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
17729 "29092" "7413975" 42939 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
15931 "5232" "48167" 5833 "14684" "Lieplaukalė" [55.9354974471734,21.831098374058865] 152.04079667279404
15702 "44681" "8136902" 241374 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
19952 "3514" "45563" 2801 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
19139 "3537" "45591" 2826 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
15866 "17131" "2515701" 25618 "16347" "Sudervė" [54.761036,25.063001999999997] 2603.225038082936
18138 "3574" "45644" 2827 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
8652 "3617" "45754" 2853 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
8735 "15331" "2211798" 22384 "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.
18780 "3645" "57657" 14619 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14618 "12152" "Jonaičiai" [55.34641499999999,21.570023]
18744 "3667" "57730" 14758 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14757 "13926" "Jonaičiai" [55.346103,21.568929]
15509 "3714" "57736" 14832 "13926" "Jonaičiai" [55.346103,21.568929] 14831 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
8908 "13808" "1228372" 21052 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 21051 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
15483 "26489" "7231018" 38734 "10486" "Kuršų m-la" [55.853816990580704,22.40675061105697] 38733 "7720" "Baltininkai" [55.85382305337965,22.406770171019815]
15769 "35668" "7652364" 62283 "20855" "Kontariškiai" [56.04984708813942,24.383280063416947] 62282 "20829" "Smegduobių parkas" [56.056377166218944,24.39590345350891]
19515 "28435" "7339430" 40633 "64819" "Suostas" [56.32837413018391,24.713657886432735] 40632 "16112" "Svydžiai" [56.352930797976754,24.686322368913352]
17904 "28434" "7339429" 40609 "10057" "Svydžiai" [56.35334128457164,24.685572701413516] 40608 "64820" "Suostas" [56.32837775901334,24.713656830174433]
15457 "6591" "57635" 14279 "13926" "Jonaičiai" [55.346103,21.568929] 14278 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
17371 "3554" "57639" 14335 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14334 "12152" "Jonaičiai" [55.34641499999999,21.570023]
20094 "29102" "7413991" 43063 "71231" "Žuvintai" [54.448579423202126,23.62330650767253] 43062 "71255" "Litvanciškai" [54.41436513808293,23.67340583550103]
18227 "40377" "8016002" 97189 "72301" "Kirlikai" [55.32834500402225,21.565359093761266] 97188 "97223" "Tarvydai I" [55.328604,21.56423]
18950 "40378" "8016003" 97198 "71683" "Tarvydai II" [55.31814711876975,21.598011981975805] 97197 "97223" "Tarvydai I" [55.328604,21.56423]
16917 "5353" "57622" 14124 "13926" "Jonaičiai" [55.346103,21.568929] 14123 "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