GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2025-12-08T15:43:00+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: 1335
  • Shapes: 3549
  • Stops: 13533
  • Trips: 21743

Specification Compliance report

113139 notices reported (0 errors, 113106 warnings, 33 infos)

Notice Code Severity Total
duplicate_route_name WARNING 2

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`.
817 "16052" 901 "6212" "M23" "Alytus - Punia - Butrimonys - Eigirdonys" 3 "48"
393 "3645" 1176 "8681" "144" "Vilnius (Žalgirio stotelė) – Nemenčinė per Pikeliškes" 3 "53"
equal_shape_distance_diff_coordinates_distance_below_threshold WARNING 4149

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 4149 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" 501772 29882.7 878 501771 29882.7 877 0.12791084993239907
"2328" 410670 35929.8 642 410669 35929.8 641 0.11119510090982554
"3659" 496822 49657.5 1177 496821 49657.5 1176 0.12791084993239907
"42205" 3187294 57850.1 335 3187293 57850.1 334 0.06178544815632574
"2369" 396010 63265.5 1261 396009 63265.5 1260 0.11119510090982554
"2385" 605580 69168.3 1771 605579 69168.3 1770 0.06441976500794575
"28733" 2290286 71509.2 1569 2290285 71509.2 1568 0.06441976500794575
"1919" 771096 136875.8 2842 771095 136875.8 2841 0.12752942403551987
"1919" 771099 136876.0 2845 771098 136876.0 2844 0.11119510090982554
"1919" 771106 136876.5 2852 771105 136876.5 2851 0.11119510232447394
"1919" 771109 136876.7 2855 771108 136876.7 2854 0.11119510161714974
"1919" 771112 136876.9 2858 771111 136876.9 2857 0.12752941555597483
"1919" 771121 136877.5 2867 771120 136877.5 2866 0.11119510090982554
"1919" 771124 136877.7 2870 771123 136877.7 2869 0.11119510161714974
"1919" 771127 136877.9 2873 771126 136877.9 2872 0.11119510090982554
"1919" 771134 136878.4 2880 771133 136878.4 2879 0.11119510090982554
"1919" 771137 136878.6 2883 771136 136878.6 2882 0.11119510161714974
"1919" 771146 136879.2 2892 771145 136879.2 2891 0.11119510090982554
"1919" 771149 136879.4 2895 771148 136879.4 2894 0.12752939825777979
"1919" 771152 136879.6 2898 771151 136879.6 2897 0.11119510161714974
"1919" 771161 136880.2 2907 771160 136880.2 2906 0.11119510161714974
"1919" 771165 136880.5 2911 771164 136880.5 2910 0.06244513630731429
"1919" 771171 136880.9 2917 771170 136880.9 2916 0.11119510161714974
"1919" 771174 136881.1 2920 771173 136881.1 2919 0.11119510090982554
"1919" 771177 136881.3 2923 771176 136881.3 2922 0.11119510090982554
"1919" 771186 136881.9 2932 771185 136881.9 2931 0.12752938095958766
"1919" 771189 136882.1 2935 771188 136882.1 2934 0.11119510161714974
"1919" 771200 136882.8 2946 771199 136882.8 2945 0.11119510161714974
"1919" 771205 136883.1 2951 771204 136883.1 2950 0.11119510161714974
"1919" 771213 136883.6 2959 771212 136883.6 2958 0.11119510090982554
"1919" 771218 136883.9 2964 771217 136883.9 2963 0.11119510090982554
"1919" 771231 136884.7 2977 771230 136884.7 2976 0.11119510161714974
"1919" 771233 136884.8 2979 771232 136884.8 2978 0.11119510090982554
"1919" 771236 136885.0 2982 771235 136885.0 2981 0.11119510161714974
"1919" 771244 136885.5 2990 771243 136885.5 2989 0.1275293557985862
"1919" 771246 136885.6 2992 771245 136885.6 2991 0.11119510161714974
"1919" 771249 136885.8 2995 771248 136885.8 2994 0.11119510090982554
"1919" 771251 136885.9 2997 771250 136885.9 2996 0.11119510232447394
"1919" 771257 136886.3 3003 771256 136886.3 3002 0.06244505260741443
"1919" 771262 136886.6 3008 771261 136886.6 3007 0.11119510161714974
"1919" 771264 136886.7 3010 771263 136886.7 3009 0.11119510090982554
"1919" 771267 136886.9 3013 771266 136886.9 3012 0.11119510090982554
"1919" 771269 136887.0 3015 771268 136887.0 3014 0.11119510090982554
"1919" 771275 136887.4 3021 771274 136887.4 3020 0.11119510090982554
"1919" 771277 136887.5 3023 771276 136887.5 3022 0.11119510161714974
"1919" 771280 136887.7 3026 771279 136887.7 3025 0.11119510090982554
"1919" 771282 136887.8 3028 771281 136887.8 3027 0.11119510161714974
"1919" 771293 136888.5 3039 771292 136888.5 3038 0.11119510161714974
"1919" 771295 136888.6 3041 771294 136888.6 3040 0.11119510090982554
"1919" 771298 136888.8 3044 771297 136888.8 3043 0.11119510090982554
equal_shape_distance_same_coordinates WARNING 8437

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 8437 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" 3059939 350.5 28 3059938 350.5 27
"43541" 3059950 811.7 39 3059949 811.7 38
"43541" 3059989 1779.8 78 3059988 1779.8 77
"43541" 3060033 3184.3 122 3060032 3184.3 121
"43541" 3060066 4418.1 155 3060065 4418.1 154
"43541" 3060082 4854.6 171 3060081 4854.6 170
"43541" 3060131 6561.9 220 3060130 6561.9 219
"43541" 3060167 7544.1 256 3060166 7544.1 255
"43541" 3060206 8757.6 295 3060205 8757.6 294
"43541" 3060223 9358.6 312 3060222 9358.6 311
"43541" 3060250 9709.1 339 3060249 9709.1 338
"43541" 3060296 10376.7 385 3060295 10376.7 384
"43541" 3060349 11116.1 438 3060348 11116.1 437
"43541" 3060380 11700.4 469 3060379 11700.4 468
"43541" 3060411 12284.8 500 3060410 12284.8 499
"43541" 3060672 14358.7 761 3060671 14358.7 760
"43541" 3060748 14706.8 837 3060747 14706.8 836
"43541" 3060848 15301.6 937 3060847 15301.6 936
"43541" 3060948 15896.4 1037 3060947 15896.4 1036
"43541" 3061024 16244.5 1113 3061023 16244.5 1112
"43541" 3061222 17133.2 1311 3061221 17133.2 1310
"43541" 3061465 18161.9 1554 3061464 18161.9 1553
"43541" 3061490 18472.3 1579 3061489 18472.3 1578
"43541" 3061540 18976.3 1629 3061539 18976.3 1628
"43541" 3061687 19673.4 1776 3061686 19673.4 1775
"43541" 3061916 21285.9 2005 3061915 21285.9 2004
"43541" 3061992 22756.6 2081 3061991 22756.6 2080
"43541" 3062068 24227.3 2157 3062067 24227.3 2156
"43541" 3062107 24719.6 2196 3062106 24719.6 2195
"43541" 3062124 25292.2 2213 3062123 25292.2 2212
"43541" 3062143 25625.9 2232 3062142 25625.9 2231
"43541" 3062231 26736.7 2320 3062230 26736.7 2319
"43541" 3062318 27236.5 2407 3062317 27236.5 2406
"43541" 3062367 28436.1 2456 3062366 28436.1 2455
"43541" 3062406 28928.5 2495 3062405 28928.5 2494
"43541" 3062457 29639.4 2546 3062456 29639.4 2545
"43541" 3062688 30811.2 2777 3062687 30811.2 2776
"43541" 3062764 31159.3 2853 3062763 31159.3 2852
"43541" 3062864 31754.1 2953 3062863 31754.1 2952
"43541" 3062964 32348.9 3053 3062963 32348.9 3052
"43541" 3063040 32697.0 3129 3063039 32697.0 3128
"43541" 3063238 33585.6 3327 3063237 33585.6 3326
"43541" 3063522 35228.5 3611 3063521 35228.5 3610
"43541" 3063575 35967.9 3664 3063574 35967.9 3663
"43541" 3063606 36552.2 3695 3063605 36552.2 3694
"43541" 3063637 37136.6 3726 3063636 37136.6 3725
"42206" 3187465 20641.7 108 3187464 20641.7 107
"42206" 3187488 24205.9 131 3187487 24205.9 130
"43537" 3196334 310.3 26 3196333 310.3 25
"43537" 3196347 811.7 39 3196346 811.7 38
expired_calendar WARNING 63

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 63 affected records are displayed below.

csvRowNumber (?) The row of the faulty record. serviceId (?) The service id of the faulty record.
9616 "17222"
8283 "31530"
6 "1076"
1423 "73341"
6879 "17343"
2718 "2499"
23 "43774"
1367 "1256"
1363 "1271"
5514 "1294"
9617 "24602"
8297 "48594"
2 "1339"
2715 "2685"
9614 "12709"
4138 "1379"
5540 "2737"
6871 "2766"
1382 "60347"
8 "1461"
6884 "47502"
9605 "678"
8278 "2814"
5544 "2849"
5545 "2852"
6873 "2850"
4154 "2980"
6872 "2975"
2716 "2974"
8277 "2972"
5513 "973"
6901 "60928"
6898 "60959"
5556 "47985"
9610 "1954"
2740 "60890"
9612 "3000"
2717 "3012"
8285 "20239"
9618 "20237"
9619 "13033"
1373 "13105"
11 "2009"
13 "2022"
6890 "48071"
26 "48073"
5532 "2066"
6888 "48062"
4151 "2111"
6870 "2123"
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.
13719 "8093432" "17272" 196.9887428340989 3.283145713901648 245940 17 "99227" "Krekenava" "14:03:00" 245941 18 "99243" "Rabikiai" "14:03:00"
14584 "8091136" "17220" 196.9887428340989 3.283145713901648 227175 17 "98468" "Krekenava" "14:03:00" 227176 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.
971 "2699" "7597128"
972 "2699" "7597129"
973 "2699" "7597130"
974 "2699" "7597131"
975 "2699" "7597132"
1000 "2699" "7597133"
1001 "2699" "7597134"
1002 "2699" "7597135"
1003 "2699" "7597136"
1004 "2699" "7597137"
1005 "2699" "7597138"
1006 "2699" "7597139"
1021 "2699" "7597140"
1022 "2699" "7597141"
1023 "2699" "7597142"
1024 "2699" "7597143"
1025 "2699" "7597144"
1026 "2699" "7597145"
1027 "2699" "7597146"
12674 "2699" "7597125"
12676 "2699" "7597126"
12677 "2699" "7597127"
12812 "2699" "7597147"
12875 "2699" "7597148"
12876 "2699" "7597149"
12970 "2699" "7597150"
12971 "2699" "7597151"
12972 "2699" "7597153"
12973 "2699" "7597154"
13020 "2699" "7597155"
13021 "2699" "7597156"
13022 "2699" "7597157"
13023 "2699" "7597158"
13024 "2699" "7597159"
13025 "2699" "7597160"
13026 "2699" "7597161"
13086 "2699" "7597162"
13087 "2699" "7597163"
13120 "2699" "7597164"
13123 "2699" "7597165"
13124 "2699" "7597166"
13125 "2699" "7597167"
20437 "2699" "7597209"
20438 "2699" "7597210"
20439 "2699" "7597211"
20442 "2699" "7597170"
20443 "2699" "7597171"
20444 "2699" "7597172"
20445 "2699" "7597173"
20502 "2699" "7597212"
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 262

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 262 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_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS, KANDRĖNUS, LAIČIUS" 210
"routes.txt" "route_short_name" "1A_VLP" 307
"routes.txt" "route_short_name" "523_VLP" 308
"routes.txt" "route_short_name" "518_VLP" 328
"routes.txt" "route_short_name" "2_VLP" 473
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 528
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER KANDRĖNUS, LAIČIUS" 571
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 728
"routes.txt" "route_long_name" "KUPIŠKIS - ANTAŠAVA" 890
"routes.txt" "route_short_name" "2A_VLP" 960
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS" 1067
"routes.txt" "route_long_name" "KUPIŠKIS – ŠIMONYS PER MIGONIS" 1089
"routes.txt" "route_short_name" "1_VLP" 1129
"routes.txt" "route_long_name" "KUPIŠKIS – PANEVĖŽYS" 1153
"routes.txt" "route_long_name" "KUPIŠKIS – VAINIŪNIŠKIS (PER PALĖVENĖLĘ) – KUPIŠKIS" 1195
"routes.txt" "route_long_name" "ŽELVA - KIAUKLIAI" 1208
"routes.txt" "route_long_name" "UKMERGĖ- MIŠNIŪNAI PER LIAUŠIUS" 1223
"routes.txt" "route_long_name" "KUPIŠKIS – LAIČIAI PER KANDRĖNUS, SKAPIŠKIO MSTL." 1227
"routes.txt" "route_long_name" "KUPIŠKIS – SUBAČIAUS MST. PER LUKONIS" 1238
"routes.txt" "route_short_name" "3_VLP" 1298
"routes.txt" "route_short_name" "4_VLP" 1301
"routes.txt" "route_short_name" "787_VLP" 1303
"routes.txt" "route_short_name" "5_VLP" 1306
"routes.txt" "route_long_name" "KUPIŠKIS – ALIZAVA PER PALĖVENĖLĘ – KUPIŠKIS" 1327
"stops.txt" "stop_name" "VDU klasikinio ugdymo licėjus B" 564
"stops.txt" "stop_name" "7-asis kilometras A" 649
"stops.txt" "stop_name" "140 km" 828
"stops.txt" "stop_name" "2-asis fortas" 974
"stops.txt" "stop_name" "9-ojo forto muziejus" 1145
"stops.txt" "stop_name" "4-asis fortas B" 1270
"stops.txt" "stop_name" "VDU klasikinio ugdymo licėjus A" 1308
"stops.txt" "stop_name" "HARJU ELEKTER UAB" 1881
"stops.txt" "stop_name" "19-as kilometras" 2602
"stops.txt" "stop_name" "3-ieji sodininkai" 2821
"stops.txt" "stop_name" "1-ojo forto g." 2841
"stops.txt" "stop_name" "140 km" 2904
"stops.txt" "stop_name" "KTU inžinerijos licėjus B" 2928
"stops.txt" "stop_name" "16-sis kilometras" 3047
"stops.txt" "stop_name" "9 kilometras" 3145
"stops.txt" "stop_name" "9 kilometras" 3146
"stops.txt" "stop_name" "40 km" 3210
"stops.txt" "stop_name" "žieda" 3250
"stops.txt" "stop_name" "III km." 3515
"stops.txt" "stop_name" "III km." 3576
"stops.txt" "stop_name" "kulniškiai" 3984
"stops.txt" "stop_name" "9-ojo forto muziejus" 4369
"stops.txt" "stop_name" "19-as kilometras" 4471
"stops.txt" "stop_name" "140 km" 4690
"stops.txt" "stop_name" "32 kilometras" 4830
stop_too_far_from_shape WARNING 59

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 59 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.
8435 "3636" "45756" 3497 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
8436 "3651" "45771" 3526 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
8176 "3653" "45773" 3527 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
9422 "43544" "8124133" 398661 "9340" "Mokykla" [55.512857000000004,26.315831] 134.01174852768767
9427 "43548" "8124139" 398699 "8484" "Mokykla" [55.513561,26.317414] 128.25393944619788
19002 "26974" "7317012" 36856 "14216" "Glaudžiai" [55.90637400000001,21.877556999999996] 1731.1842381583824
19002 "26974" "7317012" 36857 "10163" "Glaudžiai I" [55.90637400000001,21.877556999999996] 935.5388323636666
19002 "26974" "7317012" 36872 "19491" "Plungės autobusų stotis" [55.918779,21.851513000000004] 152.03315218543798
13833 "29329" "7418310" 44256 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
3145 "29328" "7418309" 44233 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
2413 "37814" "7870743" 77504 "91339" "Sūduva" [54.57502093577935,23.37188570151982] 108.83359346294479
5966 "6003" "52856" 6188 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
5935 "6005" "52858" 6197 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
5948 "6004" "52857" 6193 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
5764 "6007" "52859" 6204 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
5953 "6008" "52860" 6209 "8356" "Plinkšės" [56.146646000000004,22.177096] 708.0755710896237
4705 "18654" "3218451" 22310 "67434" "Geluva" [55.249732,23.511073] 140.46827403515317
617 "32206" "7476583" 50151 "48065" "Troškūnų g." [55.521214350005486,25.097709664383384] 523.8519190658676
617 "32206" "7476583" 50152 "48066" "Geležinkelio stotis" [55.526276,25.103853] 785.72734673045
617 "32206" "7476583" 50153 "48068" "Kalno parduotuvė" [55.526598,25.099623999999995] 574.8082135251354
617 "32206" "7476583" 50156 "48071" "Pušyno mikrorajonas" [55.521132,25.115296] 658.3695095777266
617 "32206" "7476583" 50161 "48070" "Žiburio g." [55.525912999999996,25.113931000000004] 146.43308427108235
8220 "3899" "46086" 3635 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
8404 "3014" "43694" 2660 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
16552 "37872" "7870674" 76108 "91654" "Kūlokai" [54.450829999999996,23.395002] 3378.2526672161835
16000 "29420" "7429613" 44793 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
8423 "4529" "46899" 4305 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
8432 "4527" "47691" 5336 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
8396 "4528" "47692" 5337 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
3654 "14622" "7150732" 35896 "14754" "Naiviai" [55.84397975379556,25.145549112350125] 765.6219655883444
8414 "2821" "45017" 3421 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
2064 "29615" "7432118" 45281 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
15062 "29616" "7432119" 45329 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
1928 "21886" "7847299" 74732 "5846" "Grūtas" [54.032271447911626,24.074587772943918] 103.01117636409927
689 "21885" "8128850" 400845 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
725 "21887" "8128791" 399923 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
730 "21891" "8128796" 400000 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
704 "21865" "8128780" 399720 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
707 "21872" "8128783" 399775 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
4852 "3339" "46943" 4306 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
7793 "11705" "747606" 14714 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
5976 "6511" "54507" 8774 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
5736 "6509" "54501" 8720 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
5978 "6513" "54509" 8798 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
4131 "29093" "7413976" 42059 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
4130 "29092" "7413975" 42029 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
4854 "5232" "48166" 5592 "14684" "Lieplaukalė" [55.9354974471734,21.831098374058865] 152.04079667279404
1358 "27242" "7322653" 38207 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
1355 "27240" "7322650" 38161 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
1354 "27239" "7322649" 38153 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
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.
6399 "3645" "57657" 10915 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 10914 "12152" "Jonaičiai" [55.34641499999999,21.570023]
6372 "3667" "57730" 11054 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 11053 "13926" "Jonaičiai" [55.346103,21.568929]
5989 "3714" "57735" 11112 "13926" "Jonaičiai" [55.346103,21.568929] 11111 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
20306 "13808" "1228372" 16445 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 16444 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
7355 "17480" "2657524" 20993 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 20992 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
4643 "28435" "7339430" 39579 "64819" "Suostas" [56.32837413018391,24.713657886432735] 39578 "16112" "Svydžiai" [56.352930797976754,24.686322368913352]
4641 "28434" "7339429" 39555 "10057" "Svydžiai" [56.35334128457164,24.685572701413516] 39554 "64820" "Suostas" [56.32837775901334,24.713656830174433]
6369 "6591" "57635" 10575 "13926" "Jonaičiai" [55.346103,21.568929] 10574 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
5983 "3554" "57640" 10653 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 10652 "12152" "Jonaičiai" [55.34641499999999,21.570023]
12337 "29102" "7413991" 42153 "71231" "Žuvintai" [54.448579423202126,23.62330650767253] 42152 "71255" "Litvanciškai" [54.41436513808293,23.67340583550103]
21102 "40377" "8016002" 109329 "72301" "Kirlikai" [55.32834500402225,21.565359093761266] 109328 "97223" "Tarvydai I" [55.328604,21.56423]
12857 "40378" "8016003" 109338 "71683" "Tarvydai II" [55.31814711876975,21.598011981975805] 109337 "97223" "Tarvydai I" [55.328604,21.56423]
6667 "5353" "57618" 10403 "13926" "Jonaičiai" [55.346103,21.568929] 10402 "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