GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2026-04-20T06:06:46+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: 51
  • Blocks: 0
  • Routes: 1572
  • Shapes: 3948
  • Stops: 14612
  • Trips: 22015

Specification Compliance report

121449 notices reported (0 errors, 121416 warnings, 33 infos)

Notice Code Severity Total
duplicate_route_name WARNING 42

duplicate_route_name

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

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

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

Example of bad data:

route_id route_short_name route_long_name
route1 U1 Southern
route2 U1 Southern

You can see more about this notice here.

csvRowNumber1 (?) The row number of the first occurrence. routeId1 (?) The id of the the first occurrence. csvRowNumber2 (?) The row number of the other occurrence. routeId2 (?) The id of the the other occurrence. routeShortName (?) Common `routes.route_short_name`. routeLongName (?) Common `routes.route_long_name`. routeTypeValue (?) Common `routes.route_type`. agencyId (?) Common `routes.agency_id`.
194 "20628" 195 "20692" "M-180" "Kaunas-Ringaudai-Tabariškiai-Girininkai" 3 "14"
279 "6209" 374 "18329" "M1" "Alytus - Geniai" 3 "48"
5 "20638" 388 "20708" "M-159" "Kaunas-Mastaičiai-Pažėrai-SB\"Aronija\"-Smėlio g." 3 "14"
390 "20722" 393 "20662" "M-156" "Kaunas - Neveronys" 3 "14"
389 "20715" 400 "20627" "M-167" "Kaunas-Raudondvaris-SB\"Vejuona\"-Padauguva-Vilkija" 3 "14"
397 "20691" 402 "20635" "M-194" "Kauno pilis-Garliava-Linksmakalnis" 3 "14"
392 "20658" 594 "20719" "M-140" "Kauno pilis-Garliava-Mastaičiai-Kampiškiai" 3 "14"
2 "20711" 595 "20636" "M-197" "Kaunas-Babtai-Panevėžiukas (SB\"Vija\")" 3 "14"
188 "20688" 687 "20645" "M-181" "Kaunas-Noreikiškės-Ringaudai-Tabariškiai-Gelžkeliuko g." 3 "14"
11 "20642" 688 "20685" "M-108" "Kaunas-Ireniškiai-Seniava" 3 "14"
186 "20727" 771 "20726" "M-152" "Kauno g.-Poliklinika-Birštono seniūnija" 3 "58"
395 "20654" 773 "20709" "M-148" "Kaunas-Domeikava-SB\"Didžiosios Lapės\"" 3 "14"
3 "20705" 776 "20649" "M-157" "Kaunas-Kačerginė-Zapyškis-Ežerėlis" 3 "14"
187 "20687" 777 "20663" "M-189" "Kaunas - Drąseikiai - Batėgala" 3 "14"
4 "20718" 782 "20657" "M-168" "Kaunas-Linkuvos g.-Užliedžiai-Babtai-Vosiškiai" 3 "14"
686 "20633" 783 "20696" "M-151" "Kaunas-Ramučiai" 3 "14"
775 "20689" 790 "20631" "M-149" "Kaunas-Rokeliai-Gervėnupis" 3 "14"
585 "20698" 862 "20626" "M-120" "Karmėlava-Ramučiai" 3 "14"
12 "20650" 863 "20707" "M-151(A)" "Kaunas-Urban HUB-LEZ-Kaunas" 3 "14"
394 "20656" 942 "20693" "M-154" "Čekiškė - Daugėliškiai - Vilkija - Kaunas" 3 "14"
306 "20655" 960 "20717" "M-120" "Kaunas-Karmėlavos kapinės" 3 "14"
193 "20660" 961 "20690" "M-163" "Kaunas-Babtai-Labūnava" 3 "14"
788 "20646" 963 "20703" "M-153" "Kaunas-Vilkija-Liučiūnai-Čekiškė" 3 "14"
778 "20647" 964 "20721" "M-150" "Kaunas-Ramučiai-Karmėlava-Salupiai-SB\"Inkaras\"" 3 "14"
396 "20700" 967 "20639" "M-101A" "Kauno pilis-Šilainiai-Ledos g.(Užliedžiai)" 3 "14"
946 "16052" 1004 "6212" "M23" "Alytus - Punia - Butrimonys - Eigirdonys" 3 "48"
494 "20644" 1171 "20706" "M-135" "Kaunas - Rokai - Girininkai" 3 "14"
864 "20641" 1172 "20699" "M-170" "Kaunas-Vilkija-Purviškiai-Čekiškė" 3 "14"
975 "20630" 1173 "20683" "M-172" "Kaunas-Margininkai-Piliuona-Pakuonis" 3 "14"
391 "20697" 1174 "20634" "M-198" "Kaunas - Vandžiogala - Boniškiai" 3 "14"
959 "20694" 1175 "20632" "M-106" "Kaunas-Jonučiai-Garliava-Jurginiškiai" 3 "14"
774 "20702" 1177 "20652" "M-161" "Kaunas-Raudondvaris-Netoniai- Kulautuva" 3 "14"
789 "20651" 1178 "20716" "M-180A" "Kaunas-Akademija-Bajorai-Girininkų miškas" 3 "14"
596 "20653" 1365 "20713" "M-101" "Kauno pilis-Giraitė-Ryto g.(Užliedžiai)" 3 "14"
780 "20661" 1366 "20710" "M-103" "Kauno pilis-SB\"Lokomotyvas\"-Sitkūnai-Babtai" 3 "14"
966 "20665" 1367 "20714" "M-179" "Kaunas-Rokeliai-Viršužiglis-Arlaviškės" 3 "14"
1181 "20637" 1370 "20695" "M-199" "Kaunas-Voškoniai-Vandžiogala-Labūnava" 3 "14"
199 "20643" 1371 "20701" "M-165" "Kaunas-Kačerginė-Zapyškis-Lekėčiai" 3 "14"
968 "20704" 1373 "20664" "M-146" "Kaunas-Rokeliai-Žiegždriai" 3 "14"
495 "20686" 1374 "20629" "M-168" "Vosiškiai-Babtai" 3 "14"
415 "3645" 1379 "8681" "144" "Vilnius (Žalgirio stotelė) – Nemenčinė per Pikeliškes" 3 "53"
191 "20648" 1552 "20720" "M-104" "Kaunas-Ražiškiai-Karkazai-Kreidos g.-Seniava" 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" 479006 29882.7 878 479005 29882.7 877 0.12791084993239907
"2328" 386709 35929.8 642 386708 35929.8 641 0.11119510090982554
"3659" 474056 49657.5 1177 474055 49657.5 1176 0.12791084993239907
"42205" 3509739 57850.1 335 3509738 57850.1 334 0.06178544815632574
"2369" 375513 63265.5 1261 375512 63265.5 1260 0.11119510090982554
"2385" 583309 69168.3 1771 583308 69168.3 1770 0.06441976500794575
"28733" 2347845 71509.2 1569 2347844 71509.2 1568 0.06441976500794575
"1919" 747077 136875.8 2842 747076 136875.8 2841 0.12752942403551987
"1919" 747080 136876.0 2845 747079 136876.0 2844 0.11119510090982554
"1919" 747087 136876.5 2852 747086 136876.5 2851 0.11119510232447394
"1919" 747090 136876.7 2855 747089 136876.7 2854 0.11119510161714974
"1919" 747093 136876.9 2858 747092 136876.9 2857 0.12752941555597483
"1919" 747102 136877.5 2867 747101 136877.5 2866 0.11119510090982554
"1919" 747105 136877.7 2870 747104 136877.7 2869 0.11119510161714974
"1919" 747108 136877.9 2873 747107 136877.9 2872 0.11119510090982554
"1919" 747115 136878.4 2880 747114 136878.4 2879 0.11119510090982554
"1919" 747118 136878.6 2883 747117 136878.6 2882 0.11119510161714974
"1919" 747127 136879.2 2892 747126 136879.2 2891 0.11119510090982554
"1919" 747130 136879.4 2895 747129 136879.4 2894 0.12752939825777979
"1919" 747133 136879.6 2898 747132 136879.6 2897 0.11119510161714974
"1919" 747142 136880.2 2907 747141 136880.2 2906 0.11119510161714974
"1919" 747146 136880.5 2911 747145 136880.5 2910 0.06244513630731429
"1919" 747152 136880.9 2917 747151 136880.9 2916 0.11119510161714974
"1919" 747155 136881.1 2920 747154 136881.1 2919 0.11119510090982554
"1919" 747158 136881.3 2923 747157 136881.3 2922 0.11119510090982554
"1919" 747167 136881.9 2932 747166 136881.9 2931 0.12752938095958766
"1919" 747170 136882.1 2935 747169 136882.1 2934 0.11119510161714974
"1919" 747181 136882.8 2946 747180 136882.8 2945 0.11119510161714974
"1919" 747186 136883.1 2951 747185 136883.1 2950 0.11119510161714974
"1919" 747194 136883.6 2959 747193 136883.6 2958 0.11119510090982554
"1919" 747199 136883.9 2964 747198 136883.9 2963 0.11119510090982554
"1919" 747212 136884.7 2977 747211 136884.7 2976 0.11119510161714974
"1919" 747214 136884.8 2979 747213 136884.8 2978 0.11119510090982554
"1919" 747217 136885.0 2982 747216 136885.0 2981 0.11119510161714974
"1919" 747225 136885.5 2990 747224 136885.5 2989 0.1275293557985862
"1919" 747227 136885.6 2992 747226 136885.6 2991 0.11119510161714974
"1919" 747230 136885.8 2995 747229 136885.8 2994 0.11119510090982554
"1919" 747232 136885.9 2997 747231 136885.9 2996 0.11119510232447394
"1919" 747238 136886.3 3003 747237 136886.3 3002 0.06244505260741443
"1919" 747243 136886.6 3008 747242 136886.6 3007 0.11119510161714974
"1919" 747245 136886.7 3010 747244 136886.7 3009 0.11119510090982554
"1919" 747248 136886.9 3013 747247 136886.9 3012 0.11119510090982554
"1919" 747250 136887.0 3015 747249 136887.0 3014 0.11119510090982554
"1919" 747256 136887.4 3021 747255 136887.4 3020 0.11119510090982554
"1919" 747258 136887.5 3023 747257 136887.5 3022 0.11119510161714974
"1919" 747261 136887.7 3026 747260 136887.7 3025 0.11119510090982554
"1919" 747263 136887.8 3028 747262 136887.8 3027 0.11119510161714974
"1919" 747274 136888.5 3039 747273 136888.5 3038 0.11119510161714974
"1919" 747276 136888.6 3041 747275 136888.6 3040 0.11119510090982554
"1919" 747279 136888.8 3044 747278 136888.8 3043 0.11119510090982554
equal_shape_distance_same_coordinates WARNING 16670

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 16670 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`.
"54233" 3471425 568.4 11 3471424 568.4 10
"54233" 3471442 1332.9 28 3471441 1332.9 27
"54233" 3471457 2632.1 43 3471456 2632.1 42
"54233" 3471487 4344.1 73 3471486 4344.1 72
"54233" 3471497 4911.0 83 3471496 4911.0 82
"54233" 3471527 6436.5 113 3471526 6436.5 112
"54233" 3471536 7866.2 122 3471535 7866.2 121
"54233" 3471574 14319.8 160 3471573 14319.8 159
"54233" 3471584 14744.6 170 3471583 14744.6 169
"54233" 3471606 15719.1 192 3471605 15719.1 191
"54233" 3471617 15951.6 203 3471616 15951.6 202
"54233" 3471624 16300.0 210 3471623 16300.0 209
"54233" 3471631 16654.4 217 3471630 16654.4 216
"54233" 3471645 16900.6 231 3471644 16900.6 230
"54233" 3471676 17882.6 262 3471675 17882.6 261
"54233" 3471688 18307.8 274 3471687 18307.8 273
"54233" 3471729 22494.3 315 3471728 22494.3 314
"54233" 3471765 25025.7 351 3471764 25025.7 350
"54233" 3471775 26609.0 361 3471774 26609.0 360
"54233" 3471822 27761.7 408 3471821 27761.7 407
"54233" 3471994 38641.3 580 3471993 38641.3 579
"54233" 3472012 44076.7 598 3472011 44076.7 597
"54233" 3472020 45164.8 606 3472019 45164.8 605
"54233" 3472028 45314.5 614 3472027 45314.5 613
"54233" 3472032 45372.3 618 3472031 45372.3 617
"54233" 3472037 45737.6 623 3472036 45737.6 622
"54233" 3472047 46538.2 633 3472046 46538.2 632
"54232" 3463297 568.4 11 3463296 568.4 10
"54232" 3463314 1332.9 28 3463313 1332.9 27
"54232" 3463329 2632.1 43 3463328 2632.1 42
"54232" 3463359 4344.1 73 3463358 4344.1 72
"54232" 3463390 5622.4 104 3463389 5622.4 103
"54232" 3463396 5926.7 110 3463395 5926.7 109
"54232" 3463398 5940.2 112 3463397 5940.2 111
"54232" 3463400 6016.1 114 3463399 6016.1 113
"54232" 3463405 6393.3 119 3463404 6393.3 118
"54232" 3463412 6754.4 126 3463411 6754.4 125
"54232" 3463414 6803.6 128 3463413 6803.6 127
"54232" 3463417 7277.4 131 3463416 7277.4 130
"54232" 3463421 7324.7 135 3463420 7324.7 134
"54232" 3463424 7419.7 138 3463423 7419.7 137
"54232" 3463433 7725.2 147 3463432 7725.2 146
"54232" 3463441 8161.5 155 3463440 8161.5 154
"54232" 3463448 8575.2 162 3463447 8575.2 161
"54232" 3463457 8804.7 171 3463456 8804.7 170
"54232" 3463460 8980.8 174 3463459 8980.8 173
"54232" 3463465 9110.1 179 3463464 9110.1 178
"54232" 3463525 11189.6 239 3463524 11189.6 238
"54232" 3463557 12505.1 271 3463556 12505.1 270
"54232" 3463582 12791.9 296 3463581 12791.9 295
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"
3194 "73341"
3144 "1256"
3140 "1271"
12896 "1294"
22431 "24601"
2 "1339"
22423 "12709"
9658 "1379"
9 "1461"
20104 "71437"
13814 "71434"
22417 "1954"
19245 "20239"
22426 "20237"
22425 "17222"
16134 "17343"
42 "76307"
19275 "76308"
43 "76309"
22427 "13033"
3153 "13105"
16166 "76816"
12 "2009"
14 "2022"
12914 "2066"
53 "76974"
9671 "2111"
16125 "2123"
12916 "2137"
12956 "62494"
6365 "2158"
6368 "2175"
6370 "2173"
19230 "2206"
6371 "2205"
12918 "2218"
16123 "2217"
19233 "2216"
16119 "2213"
22416 "2224"
9674 "2285"
12931 "13743"
6375 "2499"
6372 "2685"
12922 "2737"
16126 "2766"
16139 "47502"
19237 "2814"
12926 "2849"
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.
9623 "21_APNV_416-45-3-250526-ab-1310" "17272" 196.9887428340989 3.283145713901648 106395 17 "99227" "Krekenava" "14:03:00" 106396 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.
1082 "2699" "7597166"
1140 "2699" "7597177"
1200 "2699" "7597202"
1280 "2699" "7597125"
1359 "2699" "7597210"
1367 "2699" "7597201"
1369 "2699" "7597172"
1418 "2699" "7597164"
1428 "2699" "7597176"
1451 "2699" "7597140"
1513 "2699" "7597191"
1518 "2699" "7597133"
1545 "2699" "7597137"
1605 "2699" "7597170"
1675 "2699" "7597196"
1698 "2699" "7597144"
1950 "2699" "7597155"
1997 "2699" "7597146"
2350 "2699" "7597188"
2353 "2699" "7597203"
2362 "2699" "7597157"
2499 "2699" "7597127"
4414 "2699" "7597174"
4424 "2699" "7597139"
4596 "2699" "7597193"
4711 "2699" "7597169"
4789 "2699" "7597183"
4835 "2699" "7597175"
4977 "2699" "7597180"
5067 "2699" "7597148"
5108 "2699" "7597194"
5119 "2699" "7597131"
5183 "2699" "7597129"
5194 "2699" "7597153"
5246 "2699" "7597173"
5304 "2699" "7597192"
5358 "2699" "7597163"
5446 "2699" "7597212"
5589 "2699" "7597167"
5593 "2699" "7597134"
5602 "2699" "7597206"
5608 "2699" "7597143"
5619 "2699" "7597190"
5879 "2699" "7597204"
5933 "2699" "7597142"
5962 "2699" "7597207"
6002 "2699" "7597208"
6052 "2699" "7597187"
6177 "2699" "7597185"
6220 "2699" "7597021"
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 299

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 299 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\"" 51
"routes.txt" "route_long_name" "ŠVENČIONYS-ŠUTONYS-ŠVENČIONYS" 89
"routes.txt" "route_short_name" "3_VLP" 185
"routes.txt" "route_long_name" "ŠVENČIONYS-PABRADĖ-VILNIUS-PABRADĖ-ŠVENČIONYS" 201
"routes.txt" "route_long_name" "ŽELVA - PUSNĖ" 319
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS, KANDRĖNUS, LAIČIUS" 331
"routes.txt" "route_short_name" "40-DT" 345
"routes.txt" "route_short_name" "5_VLP" 387
"routes.txt" "route_short_name" "94AT" 538
"routes.txt" "route_short_name" "2_VLP" 593
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 614
"routes.txt" "route_short_name" "94-DC" 621
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER KANDRĖNUS, LAIČIUS" 622
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 673
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 837
"routes.txt" "route_short_name" "70AC" 840
"routes.txt" "route_short_name" "4_VLP" 957
"routes.txt" "route_long_name" "KUPIŠKIS - ANTAŠAVA" 1001
"routes.txt" "route_long_name" "ŠIRVINTOS - UKMERGĖ - ŠIRVINTOS" 1041
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 1075
"routes.txt" "route_short_name" "1A_VLP" 1167
"routes.txt" "route_long_name" "KUPIŠKIS – PANEVĖŽYS" 1183
"routes.txt" "route_long_name" "ŠVENČIONYS-ADUTIŠKIS-JAKELIAI-ADUTIŠKIS-ŠVENČIONYS" 1198
"routes.txt" "route_long_name" "KUPIŠKIS – ŠIMONYS PER MIGONIS" 1224
"routes.txt" "route_long_name" "PASVALYS-ŽILPAMŪŠIS PER TETIRVINUS" 1233
"routes.txt" "route_long_name" "ŽELVA - KIAUKLIAI" 1253
"routes.txt" "route_short_name" "50AB" 1267
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS" 1317
"routes.txt" "route_short_name" "2A_VLP" 1363
"routes.txt" "route_long_name" "KUPIŠKIS – ALIZAVA PER PALĖVENĖLĘ – KUPIŠKIS" 1425
"routes.txt" "route_long_name" "PASVALYS-GULBINĖNAI PER KRINČINĄ" 1429
"routes.txt" "route_long_name" "KUPIŠKIS – VAINIŪNIŠKIS (PER PALĖVENĖLĘ) – KUPIŠKIS" 1441
"routes.txt" "route_long_name" "KUPIŠKIS – SUBAČIAUS MST. PER LUKONIS" 1456
"routes.txt" "route_long_name" "KUPIŠKIS – LAIČIAI PER KANDRĖNUS, SKAPIŠKIO MSTL." 1523
"routes.txt" "route_long_name" "telšiai janapolė - telšiai" 1543
"routes.txt" "route_short_name" "1_VLP" 1571
"stops.txt" "stop_name" "140 km" 127
"stops.txt" "stop_name" "II perkėlos st." 317
"stops.txt" "stop_name" "II perkėlos st." 318
"stops.txt" "stop_name" "7-asis km." 495
"stops.txt" "stop_name" "LCC tarptautinis universitetas" 2141
"stops.txt" "stop_name" "2-ieji sodininkai" 2303
"stops.txt" "stop_name" "žieda" 2368
"stops.txt" "stop_name" "16-sis kilometras" 2476
"stops.txt" "stop_name" "9 kilometras" 2577
"stops.txt" "stop_name" "9 kilometras" 2578
"stops.txt" "stop_name" "40 km" 2640
"stops.txt" "stop_name" "HARJU ELEKTER UAB" 2842
"stops.txt" "stop_name" "dirbtuvės už kriklinių" 3244
"stops.txt" "stop_name" "9-ojo forto muziejus" 3379
stop_too_far_from_shape WARNING 48

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.
6031 "3636" "45756" 2854 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
5692 "3651" "45771" 2883 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
8226 "3653" "45773" 2884 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
5673 "43544" "8124133" 134671 "9340" "Mokykla" [55.512857000000004,26.315831] 134.01174852768767
7885 "43548" "8124139" 134709 "8484" "Mokykla" [55.513561,26.317414] 128.25393944619788
1709 "26974" "7317018" 42262 "14216" "Glaudžiai" [55.90637400000001,21.877556999999996] 1731.1842381583824
1709 "26974" "7317018" 42263 "10163" "Glaudžiai I" [55.90637400000001,21.877556999999996] 935.5388323636666
1709 "26974" "7317018" 42278 "19491" "Plungės autobusų stotis" [55.918779,21.851513000000004] 152.03315218543798
6938 "18654" "3218451" 28189 "67434" "Geluva" [55.249732,23.511073] 140.46827403515317
1926 "32206" "7476585" 53651 "48065" "Troškūnų g." [55.521214350005486,25.097709664383384] 523.8519190658676
1926 "32206" "7476585" 53652 "48066" "Geležinkelio stotis" [55.526276,25.103853] 785.72734673045
1926 "32206" "7476585" 53653 "48068" "Kalno parduotuvė" [55.526598,25.099623999999995] 574.8082135251354
1926 "32206" "7476585" 53656 "48071" "Pušyno mikrorajonas" [55.521132,25.115296] 658.3695095777266
1926 "32206" "7476585" 53661 "48070" "Žiburio g." [55.525912999999996,25.113931000000004] 146.43308427108235
5543 "3899" "46086" 2992 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
5217 "3014" "43694" 2017 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
7928 "29420" "7429613" 48404 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
5629 "4529" "46899" 3928 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
1759 "4527" "47691" 5442 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
8534 "4528" "47692" 5443 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
1248 "14622" "7150732" 41095 "14754" "Naiviai" [55.84397975379556,25.145549112350125] 765.6219655883444
6243 "2821" "45017" 2778 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
6442 "29615" "7432118" 48812 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
1538 "29616" "7432119" 48860 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
561 "21886" "60_A2-02-1-241209-ba-1520" 73801 "5846" "Grūtas" [54.032271447911626,24.074587772943918] 103.01117636409927
2966 "21885" "60_A2-02-6-060404-ab-1740" 295355 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
2730 "21887" "60_A2-01-7-060404-ab3-1430" 297368 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
590 "21891" "60_A2-02-1-241209-ab2-2020" 74644 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
2918 "21865" "60_A2-01-7-060404-b3a-1150" 295782 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
607 "21872" "60_A2-02-1-241209-b2a-1940" 73514 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
5101 "3339" "46943" 3929 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
2134 "4710" "47249" 4660 "4945" "Onuškis" [54.48374200000001,24.591959000000003] 103.16686496628398
1412 "4711" "47251" 4673 "4945" "Onuškis" [54.48374200000001,24.591959000000003] 103.16686496628398
7760 "11705" "747606" 18312 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
6888 "6511" "54507" 10640 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
5972 "6509" "54501" 10586 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
6115 "6513" "54509" 10664 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
1281 "29093" "7413976" 45995 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
8328 "29092" "7413975" 45965 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
5338 "5232" "48166" 5853 "14684" "Lieplaukalė" [55.9354974471734,21.831098374058865] 152.04079667279404
5739 "44681" "8136902" 145907 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
5305 "3514" "45563" 2801 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
4633 "3537" "45591" 2826 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
6263 "17131" "2515701" 25528 "16347" "Sudervė" [54.761036,25.063001999999997] 2603.225038082936
4898 "3574" "45644" 2827 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
8414 "3617" "45754" 2853 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
6918 "15331" "2211799" 22440 "6964" "Mikieriai" [55.66300100000001,25.169295] 153.6142678364674
7483 "15330" "2211797" 22427 "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.
4450 "3645" "57657" 14647 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14646 "12152" "Jonaičiai" [55.34641499999999,21.570023]
7678 "3667" "57730" 14786 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14785 "13926" "Jonaičiai" [55.346103,21.568929]
1876 "3714" "57736" 14860 "13926" "Jonaičiai" [55.346103,21.568929] 14859 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
7982 "13808" "1228372" 21096 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 21095 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
1848 "26489" "7231018" 41688 "10486" "Kuršų m-la" [55.853816990580704,22.40675061105697] 41687 "7720" "Baltininkai" [55.85382305337965,22.406770171019815]
1942 "35668" "7652364" 64696 "20855" "Kontariškiai" [56.04984708813942,24.383280063416947] 64695 "20829" "Smegduobių parkas" [56.056377166218944,24.39590345350891]
4939 "28435" "7339430" 43587 "64819" "Suostas" [56.32837413018391,24.713657886432735] 43586 "16112" "Svydžiai" [56.352930797976754,24.686322368913352]
1223 "28434" "7339429" 43563 "10057" "Svydžiai" [56.35334128457164,24.685572701413516] 43562 "64820" "Suostas" [56.32837775901334,24.713656830174433]
1867 "6591" "57636" 14323 "13926" "Jonaičiai" [55.346103,21.568929] 14322 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
7698 "3554" "57643" 14451 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14450 "12152" "Jonaičiai" [55.34641499999999,21.570023]
6441 "29102" "7413991" 46089 "71231" "Žuvintai" [54.448579423202126,23.62330650767253] 46088 "71255" "Litvanciškai" [54.41436513808293,23.67340583550103]
1345 "40377" "8016002" 94166 "72301" "Kirlikai" [55.32834500402225,21.565359093761266] 94165 "97223" "Tarvydai I" [55.328604,21.56423]
5771 "40378" "8016003" 94175 "71683" "Tarvydai II" [55.31814711876975,21.598011981975805] 94174 "97223" "Tarvydai I" [55.328604,21.56423]
1071 "5353" "57623" 14169 "13926" "Jonaičiai" [55.346103,21.568929] 14168 "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