GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2025-11-09T06:09:14+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: 1315
  • Shapes: 3482
  • Stops: 13408
  • Trips: 21680

Specification Compliance report

113242 notices reported (0 errors, 113209 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`.
670 "16052" 911 "6212" "M23" "Alytus - Punia - Butrimonys - Eigirdonys" 3 "48"
341 "17606" 1145 "17607" "M-152" "Kauno g.-Poliklinika-Birštono seniūnija" 3 "58"
407 "3645" 1149 "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" 484710 29882.7 878 484709 29882.7 877 0.12791084993239907
"2328" 393608 35929.8 642 393607 35929.8 641 0.11119510090982554
"3659" 479760 49657.5 1177 479759 49657.5 1176 0.12791084993239907
"42205" 3184045 57850.1 335 3184044 57850.1 334 0.06178544815632574
"2369" 378948 63265.5 1261 378947 63265.5 1260 0.11119510090982554
"2385" 588518 69168.3 1771 588517 69168.3 1770 0.06441976500794575
"28733" 2264506 71509.2 1569 2264505 71509.2 1568 0.06441976500794575
"1919" 752996 136875.8 2842 752995 136875.8 2841 0.12752942403551987
"1919" 752999 136876.0 2845 752998 136876.0 2844 0.11119510090982554
"1919" 753006 136876.5 2852 753005 136876.5 2851 0.11119510232447394
"1919" 753009 136876.7 2855 753008 136876.7 2854 0.11119510161714974
"1919" 753012 136876.9 2858 753011 136876.9 2857 0.12752941555597483
"1919" 753021 136877.5 2867 753020 136877.5 2866 0.11119510090982554
"1919" 753024 136877.7 2870 753023 136877.7 2869 0.11119510161714974
"1919" 753027 136877.9 2873 753026 136877.9 2872 0.11119510090982554
"1919" 753034 136878.4 2880 753033 136878.4 2879 0.11119510090982554
"1919" 753037 136878.6 2883 753036 136878.6 2882 0.11119510161714974
"1919" 753046 136879.2 2892 753045 136879.2 2891 0.11119510090982554
"1919" 753049 136879.4 2895 753048 136879.4 2894 0.12752939825777979
"1919" 753052 136879.6 2898 753051 136879.6 2897 0.11119510161714974
"1919" 753061 136880.2 2907 753060 136880.2 2906 0.11119510161714974
"1919" 753065 136880.5 2911 753064 136880.5 2910 0.06244513630731429
"1919" 753071 136880.9 2917 753070 136880.9 2916 0.11119510161714974
"1919" 753074 136881.1 2920 753073 136881.1 2919 0.11119510090982554
"1919" 753077 136881.3 2923 753076 136881.3 2922 0.11119510090982554
"1919" 753086 136881.9 2932 753085 136881.9 2931 0.12752938095958766
"1919" 753089 136882.1 2935 753088 136882.1 2934 0.11119510161714974
"1919" 753100 136882.8 2946 753099 136882.8 2945 0.11119510161714974
"1919" 753105 136883.1 2951 753104 136883.1 2950 0.11119510161714974
"1919" 753113 136883.6 2959 753112 136883.6 2958 0.11119510090982554
"1919" 753118 136883.9 2964 753117 136883.9 2963 0.11119510090982554
"1919" 753131 136884.7 2977 753130 136884.7 2976 0.11119510161714974
"1919" 753133 136884.8 2979 753132 136884.8 2978 0.11119510090982554
"1919" 753136 136885.0 2982 753135 136885.0 2981 0.11119510161714974
"1919" 753144 136885.5 2990 753143 136885.5 2989 0.1275293557985862
"1919" 753146 136885.6 2992 753145 136885.6 2991 0.11119510161714974
"1919" 753149 136885.8 2995 753148 136885.8 2994 0.11119510090982554
"1919" 753151 136885.9 2997 753150 136885.9 2996 0.11119510232447394
"1919" 753157 136886.3 3003 753156 136886.3 3002 0.06244505260741443
"1919" 753162 136886.6 3008 753161 136886.6 3007 0.11119510161714974
"1919" 753164 136886.7 3010 753163 136886.7 3009 0.11119510090982554
"1919" 753167 136886.9 3013 753166 136886.9 3012 0.11119510090982554
"1919" 753169 136887.0 3015 753168 136887.0 3014 0.11119510090982554
"1919" 753175 136887.4 3021 753174 136887.4 3020 0.11119510090982554
"1919" 753177 136887.5 3023 753176 136887.5 3022 0.11119510161714974
"1919" 753180 136887.7 3026 753179 136887.7 3025 0.11119510090982554
"1919" 753182 136887.8 3028 753181 136887.8 3027 0.11119510161714974
"1919" 753193 136888.5 3039 753192 136888.5 3038 0.11119510161714974
"1919" 753195 136888.6 3041 753194 136888.6 3040 0.11119510090982554
"1919" 753198 136888.8 3044 753197 136888.8 3043 0.11119510090982554
equal_shape_distance_same_coordinates WARNING 8494

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 8494 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`.
"43575" 3125927 647.2 7 3125926 647.2 6
"43575" 3125948 3132.0 28 3125947 3132.0 27
"43575" 3125956 3940.0 36 3125955 3940.0 35
"43575" 3125968 5314.8 48 3125967 5314.8 47
"43575" 3125972 6386.7 52 3125971 6386.7 51
"43575" 3125983 8095.4 63 3125982 8095.4 62
"43575" 3125991 9309.1 71 3125990 9309.1 70
"43575" 3126004 12190.0 84 3126003 12190.0 83
"43575" 3126020 14794.4 100 3126019 14794.4 99
"43575" 3126029 16198.3 109 3126028 16198.3 108
"43575" 3126036 17068.7 116 3126035 17068.7 115
"43575" 3126053 18492.9 133 3126052 18492.9 132
"43575" 3126115 21151.2 195 3126114 21151.2 194
"43575" 3126129 22195.8 209 3126128 22195.8 208
"43575" 3126154 23831.2 234 3126153 23831.2 233
"43575" 3126174 26707.2 254 3126173 26707.2 253
"43576" 3126185 1734.7 11 3126184 1734.7 10
"43576" 3126189 2672.2 15 3126188 2672.2 14
"43576" 3126203 3999.7 29 3126202 3999.7 28
"43576" 3126231 6627.4 57 3126230 6627.4 56
"43576" 3126235 7529.1 61 3126234 7529.1 60
"43576" 3126245 9775.1 71 3126244 9775.1 70
"43576" 3126269 11717.5 95 3126268 11717.5 94
"43576" 3126282 13384.8 108 3126281 13384.8 107
"43576" 3126293 14116.2 119 3126292 14116.2 118
"43576" 3126311 15401.9 137 3126310 15401.9 136
"43576" 3126317 16564.0 143 3126316 16564.0 142
"43576" 3126323 17615.1 149 3126322 17615.1 148
"43576" 3126329 18264.4 155 3126328 18264.4 154
"43576" 3126336 19528.1 162 3126335 19528.1 161
"43576" 3126343 20383.6 169 3126342 20383.6 168
"43576" 3126353 21863.7 179 3126352 21863.7 178
"43576" 3126364 23303.7 190 3126363 23303.7 189
"43576" 3126386 26137.6 212 3126385 26137.6 211
"43576" 3126399 27313.0 225 3126398 27313.0 224
"43576" 3126422 28440.9 248 3126421 28440.9 247
"43576" 3126440 30299.1 266 3126439 30299.1 265
"43576" 3126453 31234.7 279 3126452 31234.7 278
"43576" 3126462 31923.1 288 3126461 31923.1 287
"43576" 3126469 32343.1 295 3126468 32343.1 294
"43576" 3126475 32907.7 301 3126474 32907.7 300
"43576" 3126496 33627.2 322 3126495 33627.2 321
"43576" 3126534 35232.1 360 3126533 35232.1 359
"43576" 3126544 35863.6 370 3126543 35863.6 369
"43576" 3126570 37481.4 396 3126569 37481.4 395
"43576" 3126595 38936.4 421 3126594 38936.4 420
"43576" 3126607 39690.1 433 3126606 39690.1 432
"43576" 3126641 41775.1 467 3126640 41775.1 466
"43576" 3126655 43156.4 481 3126654 43156.4 480
"43577" 3126688 2233.1 33 3126687 2233.1 32
expired_calendar WARNING 59

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 59 affected records are displayed below.

csvRowNumber (?) The row of the faulty record. serviceId (?) The service id of the faulty record.
3493 "60928"
3494 "60959"
4910 "17222"
4207 "31530"
5 "1076"
2820 "47985"
4900 "1954"
1384 "60890"
3470 "17343"
1357 "2499"
19 "43774"
670 "1256"
2858 "1294"
4905 "3000"
1360 "3012"
4205 "20239"
4911 "20237"
4913 "24602"
4908 "13033"
4220 "48594"
6 "1339"
1358 "2685"
4907 "12709"
2109 "1379"
677 "13105"
2807 "2737"
3463 "2766"
728 "60347"
72 "1461"
3540 "47502"
4891 "678"
4200 "2814"
2808 "2849"
2860 "2852"
3464 "2850"
9 "2009"
10 "2022"
3482 "48071"
27 "48073"
3481 "48062"
2184 "2980"
3465 "2975"
1359 "2974"
4201 "2972"
2113 "2111"
3538 "2123"
1354 "2158"
1442 "2175"
1355 "2173"
2812 "14823"
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.
5189 "8093432" "17272" 196.9887428340989 3.283145713901648 250477 17 "99227" "Krekenava" "14:03:00" 250478 18 "99243" "Rabikiai" "14:03:00"
4640 "8091136" "17220" 196.9887428340989 3.283145713901648 230437 17 "98468" "Krekenava" "14:03:00" 230438 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.
2058 "2699" "7597133"
2060 "2699" "7597134"
2061 "2699" "7597135"
2062 "2699" "7597136"
2063 "2699" "7597137"
2064 "2699" "7597138"
2065 "2699" "7597139"
2097 "2699" "7597140"
2098 "2699" "7597141"
2099 "2699" "7597142"
2100 "2699" "7597143"
2101 "2699" "7597144"
2102 "2699" "7597145"
2103 "2699" "7597146"
2408 "2699" "7597128"
2409 "2699" "7597129"
2410 "2699" "7597130"
2411 "2699" "7597131"
2412 "2699" "7597132"
12132 "2699" "7597155"
12133 "2699" "7597156"
12134 "2699" "7597157"
12135 "2699" "7597158"
12136 "2699" "7597159"
12157 "2699" "7597160"
12158 "2699" "7597161"
12182 "2699" "7597162"
12183 "2699" "7597163"
12207 "2699" "7597164"
12210 "2699" "7597165"
12211 "2699" "7597166"
12212 "2699" "7597167"
12386 "2699" "7597125"
12388 "2699" "7597126"
12389 "2699" "7597127"
12645 "2699" "7597147"
12714 "2699" "7597148"
12715 "2699" "7597149"
12762 "2699" "7597150"
12763 "2699" "7597151"
12764 "2699" "7597153"
12765 "2699" "7597154"
12850 "2699" "7597174"
12851 "2699" "7597180"
12854 "2699" "7597181"
12855 "2699" "7597175"
12856 "2699" "7597176"
12857 "2699" "7597177"
12858 "2699" "7597178"
12926 "2699" "7597182"
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 321

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 321 affected records are displayed below.

filename (?) Name of the faulty file. fieldName (?) Name of the faulty field. fieldValue (?) Faulty value. csvRowNumber (?) The row number of the faulty record.
"agency.txt" "agency_name" "UŽDAROJI AKCINĖ BENDROVĖ \"EMTRA\"" 39
"routes.txt" "route_short_name" "1A_VLP" 220
"routes.txt" "route_short_name" "523_VLP" 221
"routes.txt" "route_short_name" "518_VLP" 228
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS, KANDRĖNUS, LAIČIUS" 242
"routes.txt" "route_short_name" "2_VLP" 395
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER KANDRĖNUS, LAIČIUS" 523
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 524
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 684
"routes.txt" "route_short_name" "2A_VLP" 878
"routes.txt" "route_long_name" "KUPIŠKIS - ANTAŠAVA" 879
"routes.txt" "route_short_name" "1_VLP" 1032
"routes.txt" "route_long_name" "KUPIŠKIS – ŠIMONYS PER MIGONIS" 1040
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS" 1054
"routes.txt" "route_long_name" "KUPIŠKIS – PANEVĖŽYS" 1087
"routes.txt" "route_long_name" "KUPIŠKIS – VAINIŪNIŠKIS (PER PALĖVENĖLĘ) – KUPIŠKIS" 1170
"routes.txt" "route_short_name" "3_VLP" 1201
"routes.txt" "route_short_name" "787_VLP" 1204
"routes.txt" "route_short_name" "5_VLP" 1206
"routes.txt" "route_short_name" "4_VLP" 1210
"routes.txt" "route_long_name" "KUPIŠKIS – LAIČIAI PER KANDRĖNUS, SKAPIŠKIO MSTL." 1241
"routes.txt" "route_long_name" "UKMERGĖ- MIŠNIŪNAI PER LIAUŠIUS" 1268
"routes.txt" "route_long_name" "KUPIŠKIS – ALIZAVA PER PALĖVENĖLĘ – KUPIŠKIS" 1271
"routes.txt" "route_long_name" "KUPIŠKIS – SUBAČIAUS MST. PER LUKONIS" 1309
"stops.txt" "stop_name" "9-ojo forto muziejus" 145
"stops.txt" "stop_name" "140 km" 789
"stops.txt" "stop_name" "2-asis fortas" 840
"stops.txt" "stop_name" "VDU klasikinio ugdymo licėjus B" 1234
"stops.txt" "stop_name" "4-asis fortas B" 1240
"stops.txt" "stop_name" "VDU klasikinio ugdymo licėjus A" 1260
"stops.txt" "stop_name" "7-asis kilometras A" 1359
"stops.txt" "stop_name" "1-ojo forto g." 1874
"stops.txt" "stop_name" "19-as kilometras" 1881
"stops.txt" "stop_name" "9 kilometras" 2044
"stops.txt" "stop_name" "9 kilometras" 2045
"stops.txt" "stop_name" "žieda" 2077
"stops.txt" "stop_name" "16-sis kilometras" 2093
"stops.txt" "stop_name" "40 km" 2134
"stops.txt" "stop_name" "140 km" 2228
"stops.txt" "stop_name" "3-ieji sodininkai" 2387
"stops.txt" "stop_name" "KTU inžinerijos licėjus B" 2866
"stops.txt" "stop_name" "HARJU ELEKTER UAB" 3198
"stops.txt" "stop_name" "19-as kilometras" 3435
"stops.txt" "stop_name" "9-ojo forto muziejus" 3488
"stops.txt" "stop_name" "32 kilometras" 3634
"stops.txt" "stop_name" "40 km" 3671
"stops.txt" "stop_name" "140 km" 3896
"stops.txt" "stop_name" "kulniškiai" 3978
"stops.txt" "stop_name" "III km." 4851
"stops.txt" "stop_name" "III km." 4891
stop_too_far_from_shape WARNING 50

stop_too_far_from_shape

Stop too far from trip shape.

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

You can see more about this notice here.

tripCsvRowNumber (?) The row number of the faulty record from `trips.txt`. shapeId (?) The id of the shape that is referred to. tripId (?) The id of the trip that is referred to. stopTimeCsvRowNumber (?) The row number of the faulty record from `stop_times.txt`. stopId (?) The id of the stop that is referred to. stopName (?) The name of the stop that is referred to. match (?) Latitude and longitude pair of the location. geoDistanceToShape (?) Distance from stop to shape.
17311 "3636" "45756" 3497 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
17312 "3651" "45771" 3526 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
21558 "3653" "45773" 3527 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
10270 "43544" "8124133" 425205 "9340" "Mokykla" [55.512857000000004,26.315831] 134.01174852768767
10274 "43548" "8124139" 425243 "8484" "Mokykla" [55.513561,26.317414] 128.25393944619788
12831 "26974" "7317010" 36769 "14216" "Glaudžiai" [55.90637400000001,21.877556999999996] 1731.1842381583824
12831 "26974" "7317010" 36770 "10163" "Glaudžiai I" [55.90637400000001,21.877556999999996] 935.5388323636666
12831 "26974" "7317010" 36785 "19491" "Plungės autobusų stotis" [55.918779,21.851513000000004] 152.03315218543798
4514 "29329" "7418310" 44250 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
6593 "29328" "7418309" 44227 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
15376 "37814" "7870743" 80571 "91339" "Sūduva" [54.57502093577935,23.37188570151982] 108.83359346294479
982 "18654" "3218451" 22709 "67434" "Geluva" [55.249732,23.511073] 140.46827403515317
3742 "32206" "7476583" 50190 "48065" "Troškūnų g." [55.521214350005486,25.097709664383384] 523.8519190658676
3742 "32206" "7476583" 50191 "48066" "Geležinkelio stotis" [55.526276,25.103853] 785.72734673045
3742 "32206" "7476583" 50192 "48068" "Kalno parduotuvė" [55.526598,25.099623999999995] 574.8082135251354
3742 "32206" "7476583" 50195 "48071" "Pušyno mikrorajonas" [55.521132,25.115296] 658.3695095777266
3742 "32206" "7476583" 50200 "48070" "Žiburio g." [55.525912999999996,25.113931000000004] 146.43308427108235
21602 "3899" "46086" 3635 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
21655 "3014" "43694" 2660 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
21492 "37872" "7870674" 79175 "91654" "Kūlokai" [54.450829999999996,23.395002] 3378.2526672161835
7187 "29420" "7429613" 44787 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
21674 "4529" "46899" 4305 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
17308 "4527" "47691" 5336 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
21647 "4528" "47692" 5337 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
717 "14622" "7150732" 35617 "14754" "Naiviai" [55.84397975379556,25.145549112350125] 765.6219655883444
21665 "2821" "45017" 3421 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
16634 "29615" "7432118" 45320 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
6145 "29616" "7432119" 45368 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
15180 "21886" "7846786" 70580 "5846" "Grūtas" [54.032271447911626,24.074587772943918] 103.01117636409927
7259 "21885" "7846879" 71819 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
16639 "21887" "7847087" 74618 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
15502 "21891" "7846864" 71609 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
15501 "21865" "7846863" 71566 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
14099 "21872" "7847122" 75134 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
17381 "3339" "46943" 4306 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
392 "28460" "7340051" 39591 "8316" "Tirkšlių paviljonas" [56.262579012838884,22.304642653254728] 376.76730742519857
16116 "11705" "747606" 14847 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
16781 "6511" "54507" 8746 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
16568 "6509" "54501" 8692 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
16783 "6513" "54509" 8770 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
888 "29093" "7413976" 42081 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
887 "29092" "7413975" 42051 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
14502 "5232" "56646" 8872 "14684" "Lieplaukalė" [55.9354974471734,21.831098374058865] 152.04079667279404
21666 "3514" "45563" 3444 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
21556 "3537" "45591" 3469 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
14698 "17131" "2515700" 20978 "16347" "Sudervė" [54.761036,25.063001999999997] 2603.225038082936
21603 "3574" "45644" 3470 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
21680 "3617" "45754" 3496 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
835 "15331" "2211799" 17716 "6964" "Mikieriai" [55.66300100000001,25.169295] 153.6142678364674
7332 "15330" "2211796" 17691 "6964" "Mikieriai" [55.66300100000001,25.169295] 153.6142678364674
stops_match_shape_out_of_order WARNING 13

stops_match_shape_out_of_order

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

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

You can see more about this notice here.

tripCsvRowNumber (?) The row number of the faulty record from `trips.txt`. shapeId (?) The id of the shape that is referred to. tripId (?) The id of the trip that is referred to. stopTimeCsvRowNumber1 (?) The row number of the first faulty record from `stop_times.txt`. stopId1 (?) The id of the first stop that is referred to. stopName1 (?) The name of the first stop that is referred to. match1 (?) Latitude and longitude pair of the first matching location. stopTimeCsvRowNumber2 (?) The row number of the second faulty record from `stop_times.txt`. stopId2 (?) The id of the second stop that is referred to. stopName2 (?) The name of the second stop that is referred to. match2 (?) Latitude and longitude pair of the second matching location.
14236 "3645" "57657" 10887 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 10886 "12152" "Jonaičiai" [55.34641499999999,21.570023]
14213 "3667" "57730" 11026 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 11025 "13926" "Jonaičiai" [55.346103,21.568929]
14214 "3714" "57736" 11100 "13926" "Jonaičiai" [55.346103,21.568929] 11099 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
20167 "13808" "1228372" 16578 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 16577 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
15760 "17480" "2657524" 21392 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 21391 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
7420 "28435" "7339430" 39526 "64819" "Suostas" [56.32837413018391,24.713657886432735] 39525 "16112" "Svydžiai" [56.352930797976754,24.686322368913352]
7418 "28434" "7339429" 39502 "10057" "Svydžiai" [56.35334128457164,24.685572701413516] 39501 "64820" "Suostas" [56.32837775901334,24.713656830174433]
14210 "6591" "57635" 10547 "13926" "Jonaičiai" [55.346103,21.568929] 10546 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
14435 "3554" "57639" 10603 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 10602 "12152" "Jonaičiai" [55.34641499999999,21.570023]
10651 "29102" "7413991" 42175 "71231" "Žuvintai" [54.448579423202126,23.62330650767253] 42174 "71255" "Litvanciškai" [54.41436513808293,23.67340583550103]
12849 "40377" "8016002" 112384 "72301" "Kirlikai" [55.32834500402225,21.565359093761266] 112383 "97223" "Tarvydai I" [55.328604,21.56423]
12507 "40378" "8016003" 112393 "71683" "Tarvydai II" [55.31814711876975,21.598011981975805] 112392 "97223" "Tarvydai I" [55.328604,21.56423]
14475 "5353" "57618" 10375 "13926" "Jonaičiai" [55.346103,21.568929] 10374 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
unknown_column INFO 33

unknown_column

A column name is unknown.

You can see more about this notice here.

filename (?) The name of the faulty file. fieldName (?) The name of the unknown column. index (?) The index of the faulty column.
"attributions.txt" "id" 3
"fare_attributes.txt" "journey_duration" 8
"routes.txt" "eligibility_restricted" 11
"routes.txt" "bikes_allowed" 12
"routes.txt" "regional_fare_card" 14
"stops.txt" "stop_direction" 12
"stops.txt" "vehicle_type" 14
"stops.txt" "mta_stop_id" 17
"stops.txt" "regional_fare_card" 18
"stop_times.txt" "start_service_area_id" 1
"stop_times.txt" "end_service_area_id" 2
"stop_times.txt" "note_id" 5
"stop_times.txt" "to_stop_sequence" 16
"stop_times.txt" "route_short_name" 18
"stop_times.txt" "start_service_area_radius" 24
"stop_times.txt" "end_service_area_radius" 25
"stop_times.txt" "fare_period_id" 26
"stop_times.txt" "departure_buffer" 27
"stop_times.txt" "track" 28
"stop_times.txt" "mean_duration_factor" 29
"stop_times.txt" "mean_duration_offset" 30
"stop_times.txt" "safe_duration_factor" 31
"stop_times.txt" "safe_duration_offset" 32
"stop_times.txt" "free_running_flag" 33
"trips.txt" "note_id" 2
"trips.txt" "mean_duration_factor" 12
"trips.txt" "mean_duration_offset" 13
"trips.txt" "safe_duration_factor" 14
"trips.txt" "safe_duration_offset" 15
"trips.txt" "cars_allowed" 16
"trips.txt" "peak_offpeak" 17
"trips.txt" "mta_trip_id" 18
"trips.txt" "boarding_type" 19