GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2025-11-13T06:08:02+02:00,
for the dataset https://www.visimarsrutai.lt/gtfs/google_transit.zip. No country code was provided.

Use this report alongside our documentation.

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

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

Summary

Agencies included

Feed Info

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

Files included

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

Counts

  • Agencies: 39
  • Blocks: 0
  • Routes: 1370
  • Shapes: 3692
  • Stops: 13445
  • Trips: 22756

Specification Compliance report

117434 notices reported (0 errors, 117401 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`.
87 "17687" 185 "17722" "M-103" "Kauno pilis-SB\"Lokomotyvas\"-Babtai" 3 "14"
51 "17707" 186 "17690" "M-172" "Kaunas-Margininkai-Piliuona-Pakuonis" 3 "14"
88 "17704" 267 "17711" "M-151" "Kaunas-Ramučiai" 3 "14"
91 "17691" 362 "17745" "M-179" "Kaunas-Vaišvydava-Viršužiglis-Arlaviškės" 3 "14"
263 "17761" 422 "17748" "M-167" "Kaunas-Raudondvaris-Padauguva-Vilkija" 3 "14"
178 "17760" 540 "17736" "M-157" "Kaunas-Kačerginė-Zapyškis-Ežerėlis" 3 "14"
259 "17752" 588 "17696" "M-166" "Kaunas-Kačerginė-Zapyškis-SB\"Baldininkas\"" 3 "14"
537 "17755" 591 "17724" "M-194" "Kauno pilis-Garliava-Linksmakalnis" 3 "14"
255 "17753" 753 "17729" "M-180A" "Kaunas-Akademija-Bajorai-Girininkų miškas" 3 "14"
424 "17757" 756 "17725" "M-149" "Kaunas-Vaišvydava-Gervėnupis" 3 "14"
755 "17730" 757 "17708" "M-198" "Kaunas - Vandžiogala - Boniškiai" 3 "14"
539 "17715" 762 "17739" "M-151(A)" "Kaunas-Urban HUB-LEZ-Kaunas" 3 "14"
538 "17721" 852 "17727" "M-101" "Kauno pilis-Linkuvos g.-Giraitė-Ledos kapinės" 3 "14"
24 "17702" 853 "17685" "M-148" "Kaunas-Domeikava-SB\"Didžiosios Lapės\"" 3 "14"
748 "16052" 856 "6212" "M23" "Alytus - Punia - Butrimonys - Eigirdonys" 3 "48"
366 "17732" 881 "17754" "M-156" "Kaunas - Neveronys" 3 "14"
97 "17741" 911 "17728" "M-154" "Čekiškė - Daugėliškiai - Vilkija - Kaunas" 3 "14"
860 "17709" 923 "17692" "M-140" "Kauno pilis-Garliava-Mastaičiai-Kampiškiai" 3 "14"
179 "17719" 925 "17710" "M-197" "Kaunas-Babtai-Panevėžiukas (SB\"Vija\")" 3 "14"
20 "17701" 929 "17705" "M-166" "Kaunas-Raudondvario pl.-Ringaudai-Tabariškiai" 3 "14"
94 "17726" 1016 "17762" "M-120" "Kaunas-Karmėlavos kapinės" 3 "14"
882 "17703" 1017 "17744" "M-106" "Kaunas-Jonučiai-Garliava-Jurginiškiai" 3 "14"
861 "17735" 1025 "17720" "M-161" "Kaunas-Raudondvaris-Netoniai- Kulautuva" 3 "14"
101 "17734" 1049 "17751" "M-101A" "Kauno pilis-Linkuvos g.-Šilainiai-Užliedžiai" 3 "14"
560 "17716" 1074 "17712" "M-189" "Kaunas - Drąseikiai - Batėgala" 3 "14"
751 "17746" 1075 "17758" "M-163" "Kaunas-Babtai-Labūnava" 3 "14"
428 "17684" 1093 "17749" "M-170" "Kaunas-Vilkija-Purviškiai-Čekiškė" 3 "14"
725 "17733" 1094 "17718" "M-150" "Kaunas-Ramučiai-Karmėlava-Salupiai-SB\"Inkaras\"" 3 "14"
92 "17695" 1096 "17750" "M-181" "Kaunas-Noreikiškės-Ringaudai-Tabariškiai-Gelžkeliuko g." 3 "14"
89 "17689" 1097 "17743" "M-165" "Kaunas-Kačerginė-Zapyškis-Lekėčiai" 3 "14"
1015 "17686" 1098 "17756" "M-146" "Kaunas-Žiegždriai" 3 "14"
1024 "17698" 1099 "17693" "M-199" "Kaunas-Voškoniai-Vandžiogala-Labūnava" 3 "14"
1100 "17738" 1101 "17723" "M-135" "Kaunas - Rokai - Girininkai" 3 "14"
449 "3645" 1216 "8681" "144" "Vilnius (Žalgirio stotelė) – Nemenčinė per Pikeliškes" 3 "53"
1204 "17717" 1261 "17740" "M-168" "Vosiškiai-Babtai" 3 "14"
692 "17688" 1273 "17742" "M-168" "Kaunas-Linkuvos g.-Užliedžiai-Babtai-Vosiškiai" 3 "14"
1225 "17759" 1274 "17747" "M-180" "Kaunas-Ringaudai-Tabariškiai-Girininkai" 3 "14"
433 "17714" 1275 "17731" "M-104" "Kaunas-Ražiškiai-Karkazai-Kreidos g.-Seniava" 3 "14"
1023 "17694" 1276 "17697" "M-153" "Kaunas-Vilkija-Liučiūnai-Čekiškė" 3 "14"
390 "17683" 1277 "17699" "M-159" "Kaunas-Mastaičiai-Pažėrai-SB\"Aronija\"-Smėlio g." 3 "14"
116 "17713" 1278 "17737" "M-120" "Karmėlava-Ramučiai" 3 "14"
754 "17706" 1280 "17700" "M-108" "Kaunas-Ireniškiai-Seniava" 3 "14"
499 "17781" 1360 "17782" "M-152" "Kauno g.-Poliklinika-Birštono seniūnija" 3 "58"
equal_shape_distance_diff_coordinates_distance_below_threshold WARNING 4148

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 4148 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" 490092 29882.7 878 490091 29882.7 877 0.12791084993239907
"2328" 398990 35929.8 642 398989 35929.8 641 0.11119510090982554
"3659" 485142 49657.5 1177 485141 49657.5 1176 0.12791084993239907
"42205" 3253362 57850.1 335 3253361 57850.1 334 0.06178544815632574
"2369" 384330 63265.5 1261 384329 63265.5 1260 0.11119510090982554
"2385" 593900 69168.3 1771 593899 69168.3 1770 0.06441976500794575
"28733" 2254247 71509.2 1569 2254246 71509.2 1568 0.06441976500794575
"1919" 758378 136875.8 2842 758377 136875.8 2841 0.12752942403551987
"1919" 758381 136876.0 2845 758380 136876.0 2844 0.11119510090982554
"1919" 758388 136876.5 2852 758387 136876.5 2851 0.11119510232447394
"1919" 758391 136876.7 2855 758390 136876.7 2854 0.11119510161714974
"1919" 758394 136876.9 2858 758393 136876.9 2857 0.12752941555597483
"1919" 758403 136877.5 2867 758402 136877.5 2866 0.11119510090982554
"1919" 758406 136877.7 2870 758405 136877.7 2869 0.11119510161714974
"1919" 758409 136877.9 2873 758408 136877.9 2872 0.11119510090982554
"1919" 758416 136878.4 2880 758415 136878.4 2879 0.11119510090982554
"1919" 758419 136878.6 2883 758418 136878.6 2882 0.11119510161714974
"1919" 758428 136879.2 2892 758427 136879.2 2891 0.11119510090982554
"1919" 758431 136879.4 2895 758430 136879.4 2894 0.12752939825777979
"1919" 758434 136879.6 2898 758433 136879.6 2897 0.11119510161714974
"1919" 758443 136880.2 2907 758442 136880.2 2906 0.11119510161714974
"1919" 758447 136880.5 2911 758446 136880.5 2910 0.06244513630731429
"1919" 758453 136880.9 2917 758452 136880.9 2916 0.11119510161714974
"1919" 758456 136881.1 2920 758455 136881.1 2919 0.11119510090982554
"1919" 758459 136881.3 2923 758458 136881.3 2922 0.11119510090982554
"1919" 758468 136881.9 2932 758467 136881.9 2931 0.12752938095958766
"1919" 758471 136882.1 2935 758470 136882.1 2934 0.11119510161714974
"1919" 758482 136882.8 2946 758481 136882.8 2945 0.11119510161714974
"1919" 758487 136883.1 2951 758486 136883.1 2950 0.11119510161714974
"1919" 758495 136883.6 2959 758494 136883.6 2958 0.11119510090982554
"1919" 758500 136883.9 2964 758499 136883.9 2963 0.11119510090982554
"1919" 758513 136884.7 2977 758512 136884.7 2976 0.11119510161714974
"1919" 758515 136884.8 2979 758514 136884.8 2978 0.11119510090982554
"1919" 758518 136885.0 2982 758517 136885.0 2981 0.11119510161714974
"1919" 758526 136885.5 2990 758525 136885.5 2989 0.1275293557985862
"1919" 758528 136885.6 2992 758527 136885.6 2991 0.11119510161714974
"1919" 758531 136885.8 2995 758530 136885.8 2994 0.11119510090982554
"1919" 758533 136885.9 2997 758532 136885.9 2996 0.11119510232447394
"1919" 758539 136886.3 3003 758538 136886.3 3002 0.06244505260741443
"1919" 758544 136886.6 3008 758543 136886.6 3007 0.11119510161714974
"1919" 758546 136886.7 3010 758545 136886.7 3009 0.11119510090982554
"1919" 758549 136886.9 3013 758548 136886.9 3012 0.11119510090982554
"1919" 758551 136887.0 3015 758550 136887.0 3014 0.11119510090982554
"1919" 758557 136887.4 3021 758556 136887.4 3020 0.11119510090982554
"1919" 758559 136887.5 3023 758558 136887.5 3022 0.11119510161714974
"1919" 758562 136887.7 3026 758561 136887.7 3025 0.11119510090982554
"1919" 758564 136887.8 3028 758563 136887.8 3027 0.11119510161714974
"1919" 758575 136888.5 3039 758574 136888.5 3038 0.11119510161714974
"1919" 758577 136888.6 3041 758576 136888.6 3040 0.11119510090982554
"1919" 758580 136888.8 3044 758579 136888.8 3043 0.11119510090982554
equal_shape_distance_same_coordinates WARNING 12578

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 12578 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" 3030655 350.5 28 3030654 350.5 27
"43541" 3030666 811.7 39 3030665 811.7 38
"43541" 3030705 1779.8 78 3030704 1779.8 77
"43541" 3030749 3184.3 122 3030748 3184.3 121
"43541" 3030782 4418.1 155 3030781 4418.1 154
"43541" 3030798 4854.6 171 3030797 4854.6 170
"43541" 3030847 6561.9 220 3030846 6561.9 219
"43541" 3030883 7544.1 256 3030882 7544.1 255
"43541" 3030922 8757.6 295 3030921 8757.6 294
"43541" 3030939 9358.6 312 3030938 9358.6 311
"43541" 3030966 9709.1 339 3030965 9709.1 338
"43541" 3031012 10376.7 385 3031011 10376.7 384
"43541" 3031065 11116.1 438 3031064 11116.1 437
"43541" 3031096 11700.4 469 3031095 11700.4 468
"43541" 3031127 12284.8 500 3031126 12284.8 499
"43541" 3031388 14358.7 761 3031387 14358.7 760
"43541" 3031464 14706.8 837 3031463 14706.8 836
"43541" 3031564 15301.6 937 3031563 15301.6 936
"43541" 3031664 15896.4 1037 3031663 15896.4 1036
"43541" 3031740 16244.5 1113 3031739 16244.5 1112
"43541" 3031938 17133.2 1311 3031937 17133.2 1310
"43541" 3032181 18161.9 1554 3032180 18161.9 1553
"43541" 3032206 18472.3 1579 3032205 18472.3 1578
"43541" 3032256 18976.3 1629 3032255 18976.3 1628
"43541" 3032403 19673.4 1776 3032402 19673.4 1775
"43541" 3032632 21285.9 2005 3032631 21285.9 2004
"43541" 3032708 22756.6 2081 3032707 22756.6 2080
"43541" 3032784 24227.3 2157 3032783 24227.3 2156
"43541" 3032823 24719.6 2196 3032822 24719.6 2195
"43541" 3032840 25292.2 2213 3032839 25292.2 2212
"43541" 3032859 25625.9 2232 3032858 25625.9 2231
"43541" 3032947 26736.7 2320 3032946 26736.7 2319
"43541" 3033034 27236.5 2407 3033033 27236.5 2406
"43541" 3033083 28436.1 2456 3033082 28436.1 2455
"43541" 3033122 28928.5 2495 3033121 28928.5 2494
"43541" 3033173 29639.4 2546 3033172 29639.4 2545
"43541" 3033404 30811.2 2777 3033403 30811.2 2776
"43541" 3033480 31159.3 2853 3033479 31159.3 2852
"43541" 3033580 31754.1 2953 3033579 31754.1 2952
"43541" 3033680 32348.9 3053 3033679 32348.9 3052
"43541" 3033756 32697.0 3129 3033755 32697.0 3128
"43541" 3033954 33585.6 3327 3033953 33585.6 3326
"43541" 3034238 35228.5 3611 3034237 35228.5 3610
"43541" 3034291 35967.9 3664 3034290 35967.9 3663
"43541" 3034322 36552.2 3695 3034321 36552.2 3694
"43541" 3034353 37136.6 3726 3034352 37136.6 3725
"42206" 3253533 20641.7 108 3253532 20641.7 107
"42206" 3253556 24205.9 131 3253555 24205.9 130
"43537" 3262402 310.3 26 3262401 310.3 25
"43537" 3262415 811.7 39 3262414 811.7 38
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.
5935 "17222"
5105 "31530"
6 "1076"
4208 "17343"
1657 "2499"
23 "43774"
823 "1256"
3375 "1294"
5936 "24602"
5120 "48594"
2 "1339"
1654 "2685"
5933 "12709"
2550 "1379"
5638 "66514"
3401 "2737"
4201 "2766"
838 "60347"
8 "1461"
4213 "47502"
5924 "678"
5100 "2814"
3405 "2849"
3406 "2852"
4203 "2850"
2565 "2980"
4202 "2975"
1655 "2974"
5099 "2972"
3373 "973"
4231 "60928"
4227 "60959"
3417 "47985"
5929 "1954"
1678 "60890"
5931 "3000"
1656 "3012"
5107 "20239"
5937 "20237"
5938 "13033"
829 "13105"
11 "2009"
13 "2022"
4219 "48071"
26 "48073"
4217 "48062"
2563 "2111"
4200 "2123"
1648 "2158"
1651 "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.
5928 "8093432" "17272" 196.9887428340989 3.283145713901648 246555 17 "99227" "Krekenava" "14:03:00" 246556 18 "99243" "Rabikiai" "14:03:00"
1858 "8091136" "17220" 196.9887428340989 3.283145713901648 226988 17 "98468" "Krekenava" "14:03:00" 226989 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.
2483 "2699" "7597169"
4563 "2699" "7597174"
4564 "2699" "7597180"
4567 "2699" "7597181"
4568 "2699" "7597175"
4569 "2699" "7597176"
4570 "2699" "7597177"
4571 "2699" "7597178"
4607 "2699" "7597182"
4608 "2699" "7597183"
4609 "2699" "7597184"
4610 "2699" "7597185"
4622 "2699" "7597186"
4623 "2699" "7597187"
4624 "2699" "7597188"
4627 "2699" "7597189"
4654 "2699" "7597190"
4655 "2699" "7597191"
4656 "2699" "7597192"
4657 "2699" "7597193"
4658 "2699" "7597194"
4659 "2699" "7597195"
4892 "2699" "7597021"
12384 "2699" "7597209"
12385 "2699" "7597210"
12386 "2699" "7597211"
12387 "2699" "7597212"
12551 "2699" "7597150"
12552 "2699" "7597151"
12553 "2699" "7597153"
12554 "2699" "7597154"
12612 "2699" "7597128"
12613 "2699" "7597129"
12614 "2699" "7597130"
12615 "2699" "7597164"
12618 "2699" "7597165"
12619 "2699" "7597166"
12620 "2699" "7597167"
12652 "2699" "7597131"
12653 "2699" "7597132"
12683 "2699" "7597125"
12685 "2699" "7597126"
12686 "2699" "7597127"
12738 "2699" "7597133"
12739 "2699" "7597134"
12740 "2699" "7597135"
12741 "2699" "7597136"
12742 "2699" "7597137"
12743 "2699" "7597138"
12744 "2699" "7597139"
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 388

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 388 affected records are displayed below.

filename (?) Name of the faulty file. fieldName (?) Name of the faulty field. fieldValue (?) Faulty value. csvRowNumber (?) The row number of the faulty record.
"agency.txt" "agency_name" "UŽDAROJI AKCINĖ BENDROVĖ \"EMTRA\"" 39
"routes.txt" "route_short_name" "1A_VLP" 232
"routes.txt" "route_short_name" "523_VLP" 233
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS, KANDRĖNUS, LAIČIUS" 283
"routes.txt" "route_short_name" "518_VLP" 287
"routes.txt" "route_short_name" "2_VLP" 394
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER KANDRĖNUS, LAIČIUS" 545
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 595
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 683
"routes.txt" "route_short_name" "2A_VLP" 899
"routes.txt" "route_long_name" "KUPIŠKIS - ANTAŠAVA" 908
"routes.txt" "route_short_name" "1_VLP" 1064
"routes.txt" "route_long_name" "KUPIŠKIS – ŠIMONYS PER MIGONIS" 1069
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS" 1127
"routes.txt" "route_long_name" "KUPIŠKIS – PANEVĖŽYS" 1165
"routes.txt" "route_long_name" "KUPIŠKIS – VAINIŪNIŠKIS (PER PALĖVENĖLĘ) – KUPIŠKIS" 1224
"routes.txt" "route_short_name" "3_VLP" 1233
"routes.txt" "route_short_name" "5_VLP" 1239
"routes.txt" "route_short_name" "4_VLP" 1247
"routes.txt" "route_short_name" "787_VLP" 1250
"routes.txt" "route_long_name" "UKMERGĖ- MIŠNIŪNAI PER LIAUŠIUS" 1255
"routes.txt" "route_long_name" "KUPIŠKIS – LAIČIAI PER KANDRĖNUS, SKAPIŠKIO MSTL." 1263
"routes.txt" "route_long_name" "KUPIŠKIS – SUBAČIAUS MST. PER LUKONIS" 1332
"routes.txt" "route_long_name" "KUPIŠKIS – ALIZAVA PER PALĖVENĖLĘ – KUPIŠKIS" 1345
"stops.txt" "stop_name" "140 km" 389
"stops.txt" "stop_name" "7-asis kilometras A" 1191
"stops.txt" "stop_name" "VDU klasikinio ugdymo licėjus A" 1371
"stops.txt" "stop_name" "VDU klasikinio ugdymo licėjus B" 1397
"stops.txt" "stop_name" "4-asis fortas B" 1402
"stops.txt" "stop_name" "2-asis fortas" 1429
"stops.txt" "stop_name" "9-ojo forto muziejus" 1647
"stops.txt" "stop_name" "HARJU ELEKTER UAB" 2171
"stops.txt" "stop_name" "žieda" 2614
"stops.txt" "stop_name" "40 km" 2642
"stops.txt" "stop_name" "9 kilometras" 2685
"stops.txt" "stop_name" "9 kilometras" 2686
"stops.txt" "stop_name" "16-sis kilometras" 2777
"stops.txt" "stop_name" "KTU inžinerijos licėjus B" 2832
"stops.txt" "stop_name" "140 km" 2935
"stops.txt" "stop_name" "19-as kilometras" 3012
"stops.txt" "stop_name" "3-ieji sodininkai" 3248
"stops.txt" "stop_name" "1-ojo forto g." 3293
"stops.txt" "stop_name" "III km." 3380
"stops.txt" "stop_name" "III km." 3390
"stops.txt" "stop_name" "kulniškiai" 3497
"stops.txt" "stop_name" "32 kilometras" 4300
"stops.txt" "stop_name" "40 km" 4353
"stops.txt" "stop_name" "140 km" 4492
"stops.txt" "stop_name" "19-as kilometras" 4666
"stops.txt" "stop_name" "9-ojo forto muziejus" 4950
stop_too_far_from_shape WARNING 50

stop_too_far_from_shape

Stop too far from trip shape.

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

You can see more about this notice here.

tripCsvRowNumber (?) The row number of the faulty record from `trips.txt`. shapeId (?) The id of the shape that is referred to. tripId (?) The id of the trip that is referred to. stopTimeCsvRowNumber (?) The row number of the faulty record from `stop_times.txt`. stopId (?) The id of the stop that is referred to. stopName (?) The name of the stop that is referred to. match (?) Latitude and longitude pair of the location. geoDistanceToShape (?) Distance from stop to shape.
11337 "3636" "45756" 3497 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
11338 "3651" "45771" 3526 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
10427 "3653" "45773" 3527 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
19260 "43544" "8124133" 415116 "9340" "Mokykla" [55.512857000000004,26.315831] 134.01174852768767
19265 "43548" "8124139" 415154 "8484" "Mokykla" [55.513561,26.317414] 128.25393944619788
4552 "26974" "7317010" 36317 "14216" "Glaudžiai" [55.90637400000001,21.877556999999996] 1731.1842381583824
4552 "26974" "7317010" 36318 "10163" "Glaudžiai I" [55.90637400000001,21.877556999999996] 935.5388323636666
4552 "26974" "7317010" 36333 "19491" "Plungės autobusų stotis" [55.918779,21.851513000000004] 152.03315218543798
1732 "29329" "7418310" 43798 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
7848 "29328" "7418309" 43775 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
14518 "37814" "7870743" 77023 "91339" "Sūduva" [54.57502093577935,23.37188570151982] 108.83359346294479
4429 "18654" "3218451" 22683 "67434" "Geluva" [55.249732,23.511073] 140.46827403515317
19903 "32206" "7476583" 49693 "48065" "Troškūnų g." [55.521214350005486,25.097709664383384] 523.8519190658676
19903 "32206" "7476583" 49694 "48066" "Geležinkelio stotis" [55.526276,25.103853] 785.72734673045
19903 "32206" "7476583" 49695 "48068" "Kalno parduotuvė" [55.526598,25.099623999999995] 574.8082135251354
19903 "32206" "7476583" 49698 "48071" "Pušyno mikrorajonas" [55.521132,25.115296] 658.3695095777266
19903 "32206" "7476583" 49703 "48070" "Žiburio g." [55.525912999999996,25.113931000000004] 146.43308427108235
10471 "3899" "46086" 3635 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
10524 "3014" "43694" 2660 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
8800 "37872" "7870674" 75627 "91654" "Kūlokai" [54.450829999999996,23.395002] 3378.2526672161835
6651 "29420" "7429613" 44335 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
10543 "4529" "46899" 4305 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
11334 "4527" "47691" 5336 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
10516 "4528" "47692" 5337 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
3649 "14622" "7150732" 35385 "14754" "Naiviai" [55.84397975379556,25.145549112350125] 765.6219655883444
10534 "2821" "45017" 3421 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
14382 "29615" "7432118" 44823 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
7072 "29616" "7432119" 44871 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
3260 "21886" "8128860" 417433 "5846" "Grūtas" [54.032271447911626,24.074587772943918] 103.01117636409927
161 "21885" "7846693" 68642 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
22327 "21887" "8128811" 416701 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
3255 "21891" "8128924" 418440 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
3197 "21865" "8128916" 418287 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
2943 "21872" "8128779" 416156 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
11405 "3339" "46943" 4306 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
2835 "28460" "7340051" 39139 "8316" "Tirkšlių paviljonas" [56.262579012838884,22.304642653254728] 376.76730742519857
13953 "11705" "747606" 14847 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
1186 "6511" "54507" 8746 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
1063 "6509" "54501" 8692 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
1188 "6513" "54509" 8770 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
4298 "29093" "7413976" 41629 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
4297 "29092" "7413975" 41599 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
330 "5232" "56646" 8872 "14684" "Lieplaukalė" [55.9354974471734,21.831098374058865] 152.04079667279404
10535 "3514" "45563" 3444 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
10425 "3537" "45591" 3469 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
15975 "17131" "2515700" 20952 "16347" "Sudervė" [54.761036,25.063001999999997] 2603.225038082936
10472 "3574" "45644" 3470 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
11331 "3617" "45754" 3496 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
4228 "15331" "2211799" 17716 "6964" "Mikieriai" [55.66300100000001,25.169295] 153.6142678364674
7706 "15330" "2211796" 17691 "6964" "Mikieriai" [55.66300100000001,25.169295] 153.6142678364674
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.
231 "3645" "57657" 10887 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 10886 "12152" "Jonaičiai" [55.34641499999999,21.570023]
208 "3667" "57730" 11026 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 11025 "13926" "Jonaičiai" [55.346103,21.568929]
209 "3714" "57736" 11100 "13926" "Jonaičiai" [55.346103,21.568929] 11099 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
10267 "13808" "1228372" 16578 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 16577 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
13856 "17480" "2657524" 21366 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 21365 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
7393 "28435" "7339430" 39074 "64819" "Suostas" [56.32837413018391,24.713657886432735] 39073 "16112" "Svydžiai" [56.352930797976754,24.686322368913352]
7391 "28434" "7339429" 39050 "10057" "Svydžiai" [56.35334128457164,24.685572701413516] 39049 "64820" "Suostas" [56.32837775901334,24.713656830174433]
205 "6591" "57635" 10547 "13926" "Jonaičiai" [55.346103,21.568929] 10546 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
263 "3554" "57639" 10603 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 10602 "12152" "Jonaičiai" [55.34641499999999,21.570023]
20881 "29102" "7413991" 41723 "71231" "Žuvintai" [54.448579423202126,23.62330650767253] 41722 "71255" "Litvanciškai" [54.41436513808293,23.67340583550103]
4562 "40377" "8016002" 108848 "72301" "Kirlikai" [55.32834500402225,21.565359093761266] 108847 "97223" "Tarvydai I" [55.328604,21.56423]
22152 "40378" "8016003" 108857 "71683" "Tarvydai II" [55.31814711876975,21.598011981975805] 108856 "97223" "Tarvydai I" [55.328604,21.56423]
303 "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