GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2025-09-07T06:06:39+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: 40
  • Blocks: 0
  • Routes: 1179
  • Shapes: 3111
  • Stops: 11317
  • Trips: 19630

Specification Compliance report

110731 notices reported (0 errors, 110698 warnings, 33 infos)

Notice Code Severity Total
duplicate_route_name WARNING 3

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`.
602 "16052" 759 "6212" "M23" "Alytus - Punia - Butrimonys - Eigirdonys" 3 "48"
235 "6209" 1034 "16982" "M1" "Alytus - Geniai" 3 "48"
394 "3645" 1094 "8681" "144" "Vilnius (Žalgirio stotelė) – Nemenčinė per Pikeliškes" 3 "53"
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" 512068 29882.7 878 512067 29882.7 877 0.12791084993239907
"2328" 420966 35929.8 642 420965 35929.8 641 0.11119510090982554
"3659" 507118 49657.5 1177 507117 49657.5 1176 0.12791084993239907
"2369" 406306 63265.5 1261 406305 63265.5 1260 0.11119510090982554
"2385" 616136 69168.3 1771 616135 69168.3 1770 0.06441976500794575
"28733" 2306916 71509.2 1569 2306915 71509.2 1568 0.06441976500794575
"1919" 780366 136875.8 2842 780365 136875.8 2841 0.12752942403551987
"1919" 780369 136876.0 2845 780368 136876.0 2844 0.11119510090982554
"1919" 780376 136876.5 2852 780375 136876.5 2851 0.11119510232447394
"1919" 780379 136876.7 2855 780378 136876.7 2854 0.11119510161714974
"1919" 780382 136876.9 2858 780381 136876.9 2857 0.12752941555597483
"1919" 780391 136877.5 2867 780390 136877.5 2866 0.11119510090982554
"1919" 780394 136877.7 2870 780393 136877.7 2869 0.11119510161714974
"1919" 780397 136877.9 2873 780396 136877.9 2872 0.11119510090982554
"1919" 780404 136878.4 2880 780403 136878.4 2879 0.11119510090982554
"1919" 780407 136878.6 2883 780406 136878.6 2882 0.11119510161714974
"1919" 780416 136879.2 2892 780415 136879.2 2891 0.11119510090982554
"1919" 780419 136879.4 2895 780418 136879.4 2894 0.12752939825777979
"1919" 780422 136879.6 2898 780421 136879.6 2897 0.11119510161714974
"1919" 780431 136880.2 2907 780430 136880.2 2906 0.11119510161714974
"1919" 780435 136880.5 2911 780434 136880.5 2910 0.06244513630731429
"1919" 780441 136880.9 2917 780440 136880.9 2916 0.11119510161714974
"1919" 780444 136881.1 2920 780443 136881.1 2919 0.11119510090982554
"1919" 780447 136881.3 2923 780446 136881.3 2922 0.11119510090982554
"1919" 780456 136881.9 2932 780455 136881.9 2931 0.12752938095958766
"1919" 780459 136882.1 2935 780458 136882.1 2934 0.11119510161714974
"1919" 780470 136882.8 2946 780469 136882.8 2945 0.11119510161714974
"1919" 780475 136883.1 2951 780474 136883.1 2950 0.11119510161714974
"1919" 780483 136883.6 2959 780482 136883.6 2958 0.11119510090982554
"1919" 780488 136883.9 2964 780487 136883.9 2963 0.11119510090982554
"1919" 780501 136884.7 2977 780500 136884.7 2976 0.11119510161714974
"1919" 780503 136884.8 2979 780502 136884.8 2978 0.11119510090982554
"1919" 780506 136885.0 2982 780505 136885.0 2981 0.11119510161714974
"1919" 780514 136885.5 2990 780513 136885.5 2989 0.1275293557985862
"1919" 780516 136885.6 2992 780515 136885.6 2991 0.11119510161714974
"1919" 780519 136885.8 2995 780518 136885.8 2994 0.11119510090982554
"1919" 780521 136885.9 2997 780520 136885.9 2996 0.11119510232447394
"1919" 780527 136886.3 3003 780526 136886.3 3002 0.06244505260741443
"1919" 780532 136886.6 3008 780531 136886.6 3007 0.11119510161714974
"1919" 780534 136886.7 3010 780533 136886.7 3009 0.11119510090982554
"1919" 780537 136886.9 3013 780536 136886.9 3012 0.11119510090982554
"1919" 780539 136887.0 3015 780538 136887.0 3014 0.11119510090982554
"1919" 780545 136887.4 3021 780544 136887.4 3020 0.11119510090982554
"1919" 780547 136887.5 3023 780546 136887.5 3022 0.11119510161714974
"1919" 780550 136887.7 3026 780549 136887.7 3025 0.11119510090982554
"1919" 780552 136887.8 3028 780551 136887.8 3027 0.11119510161714974
"1919" 780563 136888.5 3039 780562 136888.5 3038 0.11119510161714974
"1919" 780565 136888.6 3041 780564 136888.6 3040 0.11119510090982554
"1919" 780568 136888.8 3044 780567 136888.8 3043 0.11119510090982554
"1919" 780577 136889.4 3053 780576 136889.4 3052 0.11119510161714974
equal_shape_distance_same_coordinates WARNING 6130

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 6130 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`.
"29239" 2543172 160069.3 3319 2543171 160069.3 3318
"3699" 568992 17853.2 141 568991 17853.2 140
"3699" 569017 19846.6 166 569016 19846.6 165
"3699" 569028 21672.8 177 569027 21672.8 176
"3699" 569035 22751.5 184 569034 22751.5 183
"3699" 569039 24107.8 188 569038 24107.8 187
"3699" 569044 25643.1 193 569043 25643.1 192
"3699" 569071 29354.5 220 569070 29354.5 219
"3699" 569076 30889.8 225 569075 30889.8 224
"3699" 569080 32246.1 229 569079 32246.1 228
"3699" 569087 33324.8 236 569086 33324.8 235
"3699" 569098 35151.0 247 569097 35151.0 246
"3699" 569123 37144.4 272 569122 37144.4 271
"38156" 3008106 747.6 15 3008105 747.6 14
"38156" 3008114 922.0 23 3008113 922.0 22
"38156" 3008168 2228.4 77 3008167 2228.4 76
"38156" 3008177 2559.2 86 3008176 2559.2 85
"38156" 3008192 3241.7 101 3008191 3241.7 100
"38156" 3008205 3699.6 114 3008204 3699.6 113
"38156" 3008220 4429.8 129 3008219 4429.8 128
"38156" 3008232 4825.7 141 3008231 4825.7 140
"38156" 3008260 5646.2 169 3008259 5646.2 168
"38156" 3008284 6164.4 193 3008283 6164.4 192
"38156" 3008293 6481.8 202 3008292 6481.8 201
"38156" 3008314 7319.4 223 3008313 7319.4 222
"38156" 3008322 7777.9 231 3008321 7777.9 230
"38156" 3008363 8999.5 272 3008362 8999.5 271
"38156" 3008408 10364.8 317 3008407 10364.8 316
"38156" 3008433 11099.3 342 3008432 11099.3 341
"38156" 3008465 11964.7 374 3008464 11964.7 373
"38156" 3008507 13070.7 416 3008506 13070.7 415
"38156" 3008577 15129.2 486 3008576 15129.2 485
"38159" 3067023 3211.0 65 3067022 3211.0 64
"38159" 3067092 5371.4 134 3067091 5371.4 133
"38159" 3067136 6566.5 178 3067135 6566.5 177
"38159" 3067169 7397.6 211 3067168 7397.6 210
"38159" 3067192 8077.3 234 3067191 8077.3 233
"38159" 3067237 9442.6 279 3067236 9442.6 278
"38159" 3067278 10678.3 320 3067277 10678.3 319
"38159" 3067288 11160.7 330 3067287 11160.7 329
"38159" 3067307 11927.0 349 3067306 11927.0 348
"38159" 3067316 12325.8 358 3067315 12325.8 357
"38159" 3067340 12796.0 382 3067339 12796.0 381
"38159" 3067371 13647.5 413 3067370 13647.5 412
"38159" 3067380 14043.1 422 3067379 14043.1 421
"38159" 3067397 14850.3 439 3067396 14850.3 438
"38159" 3067406 15124.5 448 3067405 15124.5 447
"38159" 3067423 15822.1 465 3067422 15822.1 464
"38159" 3067432 16213.8 474 3067431 16213.8 473
"4124" 899614 212232.8 3475 899613 212232.8 3474
expired_calendar WARNING 38

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.

csvRowNumber (?) The row of the faulty record. serviceId (?) The service id of the faulty record.
2212 "60928"
2213 "60959"
2190 "44833"
1776 "47985"
3108 "44819"
924 "60890"
1356 "48492"
17 "43774"
445 "1256"
2184 "3047"
3102 "24602"
2629 "3086"
2648 "48594"
3092 "2688"
12 "2697"
900 "10038"
1338 "2705"
898 "2713"
2180 "2726"
1339 "2734"
2181 "2731"
490 "60347"
3093 "2773"
57 "1461"
2182 "2789"
1767 "2796"
3079 "678"
13 "2801"
899 "2800"
2183 "2806"
3094 "2848"
2198 "48071"
25 "48073"
2628 "2938"
2197 "48062"
1751 "973"
14 "6675"
1342 "6669"
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.
14118 "8054430" "17010" 1041.5567056076209 1.7359278426793683 388275 20 "11568" "Išorai" "15:52:57" 388276 21 "71035" "Girininkai" "15:53:03"
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.
1359 "2699" "7597148"
1360 "2699" "7597149"
1375 "2699" "7597150"
1376 "2699" "7597151"
1377 "2699" "7597153"
1378 "2699" "7597154"
1635 "2699" "7597128"
1636 "2699" "7597129"
1637 "2699" "7597130"
1638 "2699" "7597131"
1639 "2699" "7597132"
1672 "2699" "7597133"
1673 "2699" "7597134"
1674 "2699" "7597135"
1675 "2699" "7597136"
1676 "2699" "7597137"
1677 "2699" "7597138"
1678 "2699" "7597139"
1710 "2699" "7597140"
1711 "2699" "7597141"
1712 "2699" "7597142"
1713 "2699" "7597143"
1714 "2699" "7597144"
1715 "2699" "7597145"
1716 "2699" "7597146"
1726 "2699" "7597147"
7811 "2699" "7597155"
7812 "2699" "7597156"
7813 "2699" "7597157"
7814 "2699" "7597158"
7815 "2699" "7597159"
7816 "2699" "7597160"
7817 "2699" "7597161"
7868 "2699" "7597162"
7869 "2699" "7597163"
7897 "2699" "7597164"
7901 "2699" "7597165"
7902 "2699" "7597166"
7903 "2699" "7597167"
8233 "2699" "7597125"
8239 "2699" "7597126"
8240 "2699" "7597127"
18073 "2699" "7597169"
18103 "2699" "7597199"
18105 "2699" "7597200"
18106 "2699" "7597201"
18107 "2699" "7597202"
18219 "2699" "7597203"
18222 "2699" "7597204"
18310 "2699" "7597205"
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 196

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 196 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\"" 40
"routes.txt" "route_long_name" "JONAVA-GAIŽIŪNŲ STOTIS" 29
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 30
"routes.txt" "route_long_name" "ŠVENČIONYS-ŠUTONYS-ŠVENČIONYS" 94
"routes.txt" "route_long_name" "JONAVA-KĖDAINIAI" 129
"routes.txt" "route_long_name" "JONAVA-ŽEIMIAI" 131
"routes.txt" "route_long_name" "ŠVENČIONYS-PABRADĖ-VILNIUS-PABRADĖ-ŠVENČIONYS" 157
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS, KANDRĖNUS, LAIČIUS" 256
"routes.txt" "route_long_name" "JONAVA-KULVA" 284
"routes.txt" "route_long_name" "JONAVA-RUKLA" 317
"routes.txt" "route_long_name" "JONAVA-KAUNAS" 318
"routes.txt" "route_long_name" "JONAVA-JUŠKONYS" 419
"routes.txt" "route_long_name" "JONAVA-UPININKAI" 420
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER KANDRĖNUS, LAIČIUS" 436
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 542
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 561
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-JUODMENA-RIMKAI" 569
"routes.txt" "route_long_name" "JONAVA - PAGELEŽIAI" 571
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 611
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-GLOBOS NAMAI-RIMKAI" 709
"routes.txt" "route_long_name" "JONAVA-ŽINĖNAI-PREIŠIOGALĖLĖ-JONAVA" 711
"routes.txt" "route_long_name" "KUPIŠKIS - ANTAŠAVA" 803
"routes.txt" "route_long_name" "JONAVA-KUIGALIAI PER NAUJASODĮ" 857
"routes.txt" "route_long_name" "ŠVENČIONYS-ADUTIŠKIS-JAKELIAI-ADUTIŠKIS-ŠVENČIONYS" 875
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 902
"routes.txt" "route_long_name" "RIMKAI-MAXIMA-ŠVEICARIJA" 903
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS" 953
"routes.txt" "route_long_name" "KUPIŠKIS – ŠIMONYS PER MIGONIS" 969
"routes.txt" "route_long_name" "JONAVA-BUKONYS" 1004
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI" 1006
"routes.txt" "route_long_name" "JONAVA-ŠĖTA" 1008
"routes.txt" "route_long_name" "KUPIŠKIS – PANEVĖŽYS" 1019
"routes.txt" "route_long_name" "KUPIŠKIS – VAINIŪNIŠKIS (PER PALĖVENĖLĘ) – KUPIŠKIS" 1067
"routes.txt" "route_long_name" "KUPIŠKIS – SUBAČIAUS MST. PER LUKONIS" 1087
"routes.txt" "route_long_name" "KUPIŠKIS – ALIZAVA PER PALĖVENĖLĘ – KUPIŠKIS" 1110
"routes.txt" "route_long_name" "KUPIŠKIS – LAIČIAI PER KANDRĖNUS, SKAPIŠKIO MSTL." 1132
"routes.txt" "route_long_name" "JONAVA-PREIŠIOGALĖLĖ-ŽINĖNAI-JONAVA" 1158
"routes.txt" "route_long_name" "JONAVA-KULVA PER JUODMENĄ" 1160
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI-BUKONYS-ŠILAI-JONAVA" 1162
"routes.txt" "route_long_name" "UKMERGĖ- MIŠNIŪNAI PER LIAUŠIUS" 1180
"stops.txt" "stop_name" "140 km" 335
"stops.txt" "stop_name" "9-ojo forto muziejus" 404
"stops.txt" "stop_name" "7-asis kilometras A" 465
"stops.txt" "stop_name" "VDU klasikinio ugdymo mokykla" 494
"stops.txt" "stop_name" "6-asis fortas" 1884
"stops.txt" "stop_name" "4-asis fortas" 1987
"stops.txt" "stop_name" "16-sis kilometras" 2020
"stops.txt" "stop_name" "9 kilometras" 2095
"stops.txt" "stop_name" "9 kilometras" 2096
"stops.txt" "stop_name" "40 km" 2143
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.
4192 "3636" "45756" 3497 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
4193 "3651" "45771" 3526 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
3821 "3653" "45773" 3527 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
7548 "26974" "7317012" 41384 "14216" "Glaudžiai" [55.90637400000001,21.877556999999996] 1731.1842381583824
7548 "26974" "7317012" 41385 "10163" "Glaudžiai I" [55.90637400000001,21.877556999999996] 935.5388323636666
7548 "26974" "7317012" 41400 "19491" "Plungės autobusų stotis" [55.918779,21.851513000000004] 152.03315218543798
2718 "10745" "432217" 14713 "8484" "Mokykla" [55.513561,26.317414] 128.25393944619788
9982 "29329" "7418310" 47457 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
10631 "29328" "7418309" 47434 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
352 "37846" "7870668" 84196 "91654" "Kūlokai" [54.45108200000001,23.396507] 3297.0156004557466
11198 "9923" "432216" 14712 "9340" "Mokykla" [55.512857000000004,26.315831] 134.01174852768767
17421 "37814" "7870743" 85686 "91339" "Sūduva" [54.57502093577935,23.37188570151982] 108.83359346294479
15737 "18654" "3218451" 24915 "67434" "Geluva" [55.249732,23.511073] 140.46827403515317
11603 "32206" "7476583" 53428 "48065" "Troškūnų g." [55.521214350005486,25.097709664383384] 523.8519190658676
11603 "32206" "7476583" 53429 "48066" "Geležinkelio stotis" [55.526276,25.103853] 785.72734673045
11603 "32206" "7476583" 53430 "48068" "Kalno parduotuvė" [55.526598,25.099623999999995] 574.8082135251354
11603 "32206" "7476583" 53433 "48071" "Pušyno mikrorajonas" [55.521132,25.115296] 658.3695095777266
11603 "32206" "7476583" 53438 "48070" "Žiburio g." [55.525912999999996,25.113931000000004] 146.43308427108235
3859 "3899" "46086" 3635 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
4160 "3014" "43694" 2660 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
10495 "29420" "7429613" 47979 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
13707 "41295" "8054371" 387225 "70878" "Šveicarija" [55.04546,24.25836] 149.18478145589043
6018 "22910" "4973791" 33497 "24190" "Maldeniai" [56.08905,23.080025999999993] 114.55535215311666
4180 "4529" "46899" 4305 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
4189 "4527" "47691" 5336 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
4149 "4528" "47692" 5337 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
756 "14622" "7150733" 39699 "14754" "Naiviai" [55.84397975379556,25.145549112350125] 765.6219655883444
13894 "18184" "2933102" 24411 "24190" "Maldeniai" [56.08905,23.080025999999993] 114.55535215311666
1168 "18185" "2933105" 24425 "24190" "Maldeniai" [56.08905,23.080025999999993] 114.55535215311666
4170 "2821" "45017" 3421 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
15478 "29615" "7432118" 48523 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
8860 "29616" "7432119" 48571 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
13634 "21886" "7847213" 81457 "5846" "Grūtas" [54.032271447911626,24.074587772943918] 103.01117636409927
854 "21885" "7846679" 74333 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
15495 "21887" "7847087" 79713 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
13656 "21891" "7846924" 77496 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
15676 "21865" "7847347" 83108 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
14589 "21872" "7847048" 79122 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
4265 "3339" "46943" 4306 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
13800 "11705" "747606" 14871 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
3551 "6511" "54507" 8498 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
3210 "6509" "54501" 8444 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
3553 "6513" "54509" 8522 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
14698 "29093" "7413976" 45304 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
14697 "29092" "7413975" 45274 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
1035 "5232" "56646" 8624 "14684" "Lieplaukalė" [55.9354974471734,21.831098374058865] 152.04079667279404
4171 "3514" "45563" 3444 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
3819 "3537" "45591" 3469 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
15306 "17131" "2515700" 22408 "16347" "Sudervė" [54.761036,25.063001999999997] 2603.225038082936
3860 "3574" "45644" 3470 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
stops_match_shape_out_of_order WARNING 12

stops_match_shape_out_of_order

Two stop entries are different than their arrival-departure order defined by shapes.txt.

This could indicate a problem with the location of the stops, the path of the shape, or the sequence of the stops for their trip.

You can see more about this notice here.

tripCsvRowNumber (?) The row number of the faulty record from `trips.txt`. shapeId (?) The id of the shape that is referred to. tripId (?) The id of the trip that is referred to. stopTimeCsvRowNumber1 (?) The row number of the first faulty record from `stop_times.txt`. stopId1 (?) The id of the first stop that is referred to. stopName1 (?) The name of the first stop that is referred to. match1 (?) Latitude and longitude pair of the first matching location. stopTimeCsvRowNumber2 (?) The row number of the second faulty record from `stop_times.txt`. stopId2 (?) The id of the second stop that is referred to. stopName2 (?) The name of the second stop that is referred to. match2 (?) Latitude and longitude pair of the second matching location.
939 "3645" "57657" 10664 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 10663 "12152" "Jonaičiai" [55.34641499999999,21.570023]
916 "3667" "57730" 10803 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 10802 "13926" "Jonaičiai" [55.346103,21.568929]
917 "3714" "57736" 10877 "13926" "Jonaičiai" [55.346103,21.568929] 10876 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
3728 "13808" "1228372" 17082 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 17081 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
17602 "17480" "2657524" 22797 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 22796 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
5989 "22910" "4981065" 34057 "44981" "Apušėliai" [56.058900282912056,23.196604001375526] 34056 "23941" "Žiogai" [56.04871914929978,23.214028627477276]
913 "6591" "57635" 10324 "13926" "Jonaičiai" [55.346103,21.568929] 10323 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
971 "3554" "57639" 10380 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 10379 "12152" "Jonaičiai" [55.34641499999999,21.570023]
12373 "29102" "7413991" 45398 "71231" "Žuvintai" [54.448579423202126,23.62330650767253] 45397 "71255" "Litvanciškai" [54.41436513808293,23.67340583550103]
19200 "40377" "8016002" 284304 "72301" "Kirlikai" [55.32834500402225,21.565359093761266] 284303 "97223" "Tarvydai I" [55.328604,21.56423]
8163 "40378" "8016003" 284313 "71683" "Tarvydai II" [55.31814711876975,21.598011981975805] 284312 "97223" "Tarvydai I" [55.328604,21.56423]
1010 "5353" "57618" 10152 "13926" "Jonaičiai" [55.346103,21.568929] 10151 "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