GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2026-05-20T06:10:02+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: 52
  • Blocks: 0
  • Routes: 1407
  • Shapes: 3951
  • Stops: 15108
  • Trips: 28791

Specification Compliance report

114084 notices reported (0 errors, 114051 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`.
929 "6212" 983 "16052" "M23" "Alytus - Punia - Butrimonys - Eigirdonys" 3 "48"
285 "6209" 1162 "18329" "M1" "Alytus - Geniai" 3 "48"
384 "3645" 1215 "8681" "144" "Vilnius (Žalgirio stotelė) – Nemenčinė per Pikeliškes" 3 "53"
equal_shape_distance_diff_coordinates_distance_below_threshold WARNING 48

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.

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" 318838 29882.7 878 318837 29882.7 877 0.12791084993239907
"3659" 313888 49657.5 1177 313887 49657.5 1176 0.12791084993239907
"42205" 2017036 57850.1 335 2017035 57850.1 334 0.06178544815632574
"9899" 685199 10140.5 535 685198 10140.5 534 0.06374919783940136
"7246" 787849 67609.0 1511 787848 67609.0 1510 0.11119510090982554
"36319" 873494 31015.9 528 873493 31015.9 527 0.0623586881758763
"36317" 1562010 38911.6 654 1562009 38911.6 653 0.0623586881758763
"38950" 1761732 11713.3 325 1761731 11713.3 324 0.06234682915415588
"38950" 1761733 11713.3 326 1761732 11713.3 325 0.06234682915415588
"3712" 336819 11159.7 339 336818 11159.7 338 0.12791084993239907
"11231" 9795 37139.9 834 9794 37139.9 833 0.0636527781910892
"7377" 709781 27067.3 649 709780 27067.3 648 0.12791084993239907
"46694" 2086505 23752.8 557 2086504 23752.8 556 0.06193557554384503
"18612" 1083055 37006.9 870 1083054 37006.9 869 0.0636527781910892
"12645" 911951 11954.2 545 911950 11954.2 544 0.06437323893721987
"37003" 80606 22299.5 518 80605 22299.5 517 0.0635133278590634
"3116" 355224 24215.5 136 355223 24215.5 135 0.06303814001271353
"34101" 1482024 3241.6 163 1482023 3241.6 162 0.0623586881758763
"15821" 1002840 20596.5 662 1002839 20596.5 661 0.12801541284872414
"34067" 1174286 49177.4 805 1174285 49177.4 804 0.0623586881758763
"44279" 959131 12494.9 411 959130 12494.9 410 0.061754062897733865
"34096" 1481228 3241.6 163 1481227 3241.6 162 0.0623586881758763
"34086" 1160559 3793.2 180 1160558 3793.2 179 0.0623586881758763
"34086" 1161105 17842.1 726 1161104 17842.1 725 0.06236154185211733
"34084" 836222 3793.2 180 836221 3793.2 179 0.0623586881758763
"34079" 871718 10297.4 210 871717 10297.4 209 0.06236154185211733
"39052" 81516 17654.0 367 81515 17654.0 366 0.06308593794989874
"32404" 1456685 13453.5 454 1456684 13453.5 453 0.06256821099246385
"20409" 1252175 20881.2 405 1252174 20881.2 404 0.06200667717945432
"20408" 1251354 6611.0 219 1251353 6611.0 218 0.06200667717945432
"4571" 502212 11713.3 325 502211 11713.3 324 0.06234682915415588
"4571" 502213 11713.3 326 502212 11713.3 325 0.06234682915415588
"47474" 1964823 22362.6 555 1964822 22362.6 554 0.0623586881758763
"47449" 1686479 16956.1 469 1686478 16956.1 468 0.06193557554384503
"35667" 1576942 5114.4 147 1576941 5114.4 146 0.12737703146093737
"6592" 598755 37595.4 841 598754 37595.4 840 0.12791084993239907
"33918" 1509864 12783.1 436 1509863 12783.1 435 0.06386439485468
"15279" 1078946 11652.3 181 1078945 11652.3 180 0.06234682915415588
"7096" 584872 11652.3 181 584871 11652.3 180 0.06234682915415588
"3515" 322098 11159.7 339 322097 11159.7 338 0.12791084993239907
"4871" 518398 11713.3 325 518397 11713.3 324 0.06234682915415588
"4871" 518399 11713.3 326 518398 11713.3 325 0.06234682915415588
"3550" 283080 11159.7 339 283079 11159.7 338 0.12791084993239907
"4878" 526799 11713.3 325 526798 11713.3 324 0.06234682915415588
"4878" 526800 11713.3 326 526799 11713.3 325 0.06234682915415588
"38905" 1758267 11713.3 325 1758266 11713.3 324 0.06234682915415588
"4912" 533047 11713.3 325 533046 11713.3 324 0.06234682915415588
"4912" 533048 11713.3 326 533047 11713.3 325 0.06234682915415588
equal_shape_distance_same_coordinates WARNING 13065

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 13065 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`.
"55560" 1860048 25.8 3 1860047 25.8 2
"55560" 1860089 2388.3 44 1860088 2388.3 43
"55560" 1860101 3182.6 56 1860100 3182.6 55
"55560" 1860105 3262.5 60 1860104 3262.5 59
"55560" 1860160 5428.3 115 1860159 5428.3 114
"55560" 1860169 5767.2 124 1860168 5767.2 123
"55560" 1860171 5959.5 126 1860170 5959.5 125
"55560" 1860174 6072.2 129 1860173 6072.2 128
"55560" 1860194 7328.9 149 1860193 7328.9 148
"55560" 1860229 9433.5 184 1860228 9433.5 183
"55560" 1860244 10146.9 199 1860243 10146.9 198
"55560" 1860265 11247.0 220 1860264 11247.0 219
"55560" 1860269 11334.1 224 1860268 11334.1 223
"55560" 1860319 14027.0 274 1860318 14027.0 273
"55560" 1860332 14822.5 287 1860331 14822.5 286
"55560" 1860357 16299.5 312 1860356 16299.5 311
"55560" 1860385 17487.3 340 1860384 17487.3 339
"55560" 1860423 19123.6 378 1860422 19123.6 377
"55560" 1860430 19373.1 385 1860429 19373.1 384
"55560" 1860457 20736.5 412 1860456 20736.5 411
"55560" 1860461 20821.5 416 1860460 20821.5 415
"55560" 1860493 21684.5 448 1860492 21684.5 447
"55560" 1860496 21734.4 451 1860495 21734.4 450
"55560" 1860503 22070.6 458 1860502 22070.6 457
"55560" 1860510 22632.4 465 1860509 22632.4 464
"55560" 1860517 23104.4 472 1860516 23104.4 471
"55560" 1860534 23985.8 489 1860533 23985.8 488
"55560" 1860540 24095.3 495 1860539 24095.3 494
"55560" 1860542 24162.1 497 1860541 24162.1 496
"55564" 1862550 387.4 21 1862549 387.4 20
"55564" 1862558 517.7 29 1862557 517.7 28
"55564" 1862582 1286.2 53 1862581 1286.2 52
"55564" 1862593 1651.0 64 1862592 1651.0 63
"55564" 1862596 1717.3 67 1862595 1717.3 66
"55564" 1862598 1746.4 69 1862597 1746.4 68
"55564" 1862600 1790.4 71 1862599 1790.4 70
"55564" 1862603 1896.5 74 1862602 1896.5 73
"55564" 1862606 1925.9 77 1862605 1925.9 76
"55564" 1862610 2045.2 81 1862609 2045.2 80
"55564" 1862615 2341.1 86 1862614 2341.1 85
"55564" 1862624 2582.6 95 1862623 2582.6 94
"55564" 1862628 2663.9 99 1862627 2663.9 98
"55564" 1862640 2771.7 111 1862639 2771.7 110
"55564" 1862655 2855.1 126 1862654 2855.1 125
"55564" 1862660 2992.2 131 1862659 2992.2 130
"55564" 1862668 3182.5 139 1862667 3182.5 138
"55564" 1862670 3254.5 141 1862669 3254.5 140
"55564" 1862676 3485.8 147 1862675 3485.8 146
"55564" 1862696 4000.4 167 1862695 4000.4 166
"55564" 1862716 4321.1 187 1862715 4321.1 186
expired_calendar WARNING 58

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 58 affected records are displayed below.

csvRowNumber (?) The row of the faulty record. serviceId (?) The service id of the faulty record.
6 "1076"
3728 "73341"
3695 "1256"
3692 "1271"
15069 "1294"
2 "1339"
26094 "12709"
11309 "1379"
8 "1461"
26088 "1954"
22394 "20239"
26097 "20237"
26096 "17222"
18786 "17343"
37 "76307"
22417 "76308"
38 "76309"
26098 "13033"
3704 "13105"
18813 "76816"
11 "2009"
13 "2022"
15087 "2066"
11322 "2111"
18778 "2123"
15089 "2137"
15120 "62494"
7461 "2158"
7464 "2175"
7466 "2173"
22379 "2206"
7467 "2205"
15091 "2218"
18776 "2217"
22382 "2216"
18772 "2213"
26087 "2224"
11325 "2285"
15104 "13743"
7471 "2499"
7468 "2685"
15095 "2737"
18779 "2766"
18790 "47502"
22386 "2814"
15099 "2849"
15100 "2852"
18781 "2850"
11324 "2980"
18780 "2975"
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.
15471 "21_APNV_416-45-3-250526-ab-1310" "17272" 196.9887428340989 3.283145713901648 142897 17 "99227" "Krekenava" "14:03:00" 142898 18 "99243" "Rabikiai" "14:03:00"
5780 "48_1760" "16027" 241.63706430018638 4.0272844050031065 612389 33 "71255" "Ąžuoliniai" "07:55:00" 612390 34 "92301" "Ostampas" "07:55:00"
fast_travel_between_far_stops WARNING 1

fast_travel_between_far_stops

A transit vehicle moves too fast between two far stops.

Two stops are considered "far" if they are more than 10 km apart. This normally indicates a more serious problem than too fast travel between consecutive stops.

The speed threshold depends on route type and are the same as fast_travel_between_consecutive_stops.

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.
5780 "48_1760" "16027" 205.63332489854255 10.281666244927129 612386 30 "92286" "Gluosninkai" "07:53:00" 612390 34 "92301" "Ostampas" "07:55:00"
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.
40 "2699" "7597183"
86 "2699" "7597148"
200 "2699" "7597136"
239 "2699" "7597211"
272 "2699" "7597208"
320 "2699" "7597187"
356 "2699" "7597156"
378 "2699" "7597209"
416 "2699" "7597189"
431 "2699" "7597195"
456 "2699" "7597171"
511 "2699" "7597132"
623 "2699" "7597196"
746 "2699" "7597194"
757 "2699" "7597131"
774 "2699" "7597163"
850 "2699" "7597212"
1024 "2699" "7597174"
1032 "2699" "7597139"
1100 "2699" "7597169"
1139 "2699" "7597142"
1168 "2699" "7597207"
1203 "2699" "7597021"
1550 "2699" "7597198"
1620 "2699" "7597184"
1798 "2699" "7597141"
1827 "2699" "7597182"
1911 "2699" "7597126"
1945 "2699" "7597138"
2033 "2699" "7597160"
2174 "2699" "7597180"
2269 "2699" "7597192"
2349 "2699" "7597167"
2353 "2699" "7597134"
2362 "2699" "7597206"
2367 "2699" "7597143"
2377 "2699" "7597190"
2413 "2699" "7597204"
13497 "2699" "7597178"
13696 "2699" "7597149"
13868 "2699" "7597193"
13876 "2699" "7597175"
14002 "2699" "7597185"
14008 "2699" "7597205"
14019 "2699" "7597145"
14144 "2699" "7597199"
14181 "2699" "7597200"
14286 "2699" "7597173"
14548 "2699" "7597135"
14552 "2699" "7597165"
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 "42663" 1
12 "42663" 2
13 "42663" 3
14 "42663" 4
15 "42663" 5
16 "42663" 6
17 "42663" 7
18 "42663" 8
19 "42663" 9
20 "42663" 10
21 "42663" 11
22 "42663" 12
23 "42663" 13
24 "42663" 14
25 "42663" 15
26 "42665" 1
27 "42665" 2
28 "42665" 3
29 "42665" 4
30 "42665" 5
31 "42665" 6
32 "42665" 7
33 "42665" 8
34 "42665" 9
35 "43001" 1
36 "43001" 2
37 "43001" 3
38 "43001" 4
39 "43001" 5
40 "43001" 6
41 "43001" 7
42 "43001" 8
43 "43001" 9
44 "43001" 10
45 "43001" 11
46 "43001" 12
47 "43001" 13
48 "43001" 14
49 "43001" 15
50 "43001" 16
51 "43001" 17
mixed_case_recommended_field WARNING 703

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 703 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\"" 52
"routes.txt" "route_long_name" "ŠVENČIONYS-ŠUTONYS-ŠVENČIONYS" 46
"routes.txt" "route_long_name" "JONAVA-KAUNAS" 120
"routes.txt" "route_long_name" "RIMKAI-MAXIMA-ŠVEICARIJA" 122
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 129
"routes.txt" "route_long_name" "RIMKAI-SKARULIŲ KAPINĖS" 130
"routes.txt" "route_short_name" "3_VLP" 138
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS, KANDRĖNUS, LAIČIUS" 187
"routes.txt" "route_long_name" "ŠVENČIONYS-PABRADĖ-VILNIUS-PABRADĖ-ŠVENČIONYS" 212
"routes.txt" "route_long_name" "ŽELVA - PUSNĖ" 283
"routes.txt" "route_short_name" "5_VLP" 319
"routes.txt" "route_short_name" "40-DT" 348
"routes.txt" "route_short_name" "94AT" 472
"routes.txt" "route_long_name" "JONAVA-UPININKAI" 493
"routes.txt" "route_long_name" "JONAVA-BUKONYS" 494
"routes.txt" "route_long_name" "JONAVA-PREIŠIOGALĖLĖ-ŽINĖNAI-JONAVA" 501
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI-BUKONYS-ŠILAI-JONAVA" 502
"routes.txt" "route_short_name" "2_VLP" 507
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 555
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 556
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER KANDRĖNUS, LAIČIUS" 576
"routes.txt" "route_long_name" "JONAVA - PAGELEŽIAI" 645
"routes.txt" "route_long_name" "JONAVA-JUŠKONYS" 647
"routes.txt" "route_short_name" "94-DC" 673
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 729
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI" 802
"routes.txt" "route_long_name" "JONAVA-ŽEIMIAI" 803
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 804
"routes.txt" "route_long_name" "JONAVA-KUIGALIAI PER NAUJASODĮ" 814
"routes.txt" "route_short_name" "4_VLP" 822
"routes.txt" "route_short_name" "70AC" 859
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 865
"routes.txt" "route_long_name" "KUPIŠKIS - ANTAŠAVA" 878
"routes.txt" "route_long_name" "JONAVA-RUKLA" 981
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-GLOBOS NAMAI-RIMKAI" 984
"routes.txt" "route_long_name" "JONAVA-KULVA PER JUODMENĄ" 985
"routes.txt" "route_long_name" "JONAVA-ŽINĖNAI-PREIŠIOGALĖLĖ-JONAVA" 987
"routes.txt" "route_short_name" "1A_VLP" 996
"routes.txt" "route_long_name" "ŠIRVINTOS - UKMERGĖ - ŠIRVINTOS" 1028
"routes.txt" "route_long_name" "ŠVENČIONYS-ADUTIŠKIS-JAKELIAI-ADUTIŠKIS-ŠVENČIONYS" 1052
"routes.txt" "route_long_name" "KUPIŠKIS – ŠIMONYS PER MIGONIS" 1066
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS" 1073
"routes.txt" "route_long_name" "KUPIŠKIS – PANEVĖŽYS" 1122
"routes.txt" "route_long_name" "PASVALYS-ŽILPAMŪŠIS PER TETIRVINUS" 1135
"routes.txt" "route_long_name" "ŽELVA - KIAUKLIAI" 1136
"routes.txt" "route_short_name" "2A_VLP" 1177
"routes.txt" "route_short_name" "50AB" 1209
"routes.txt" "route_long_name" "PASVALYS-GULBINĖNAI PER KRINČINĄ" 1225
"routes.txt" "route_long_name" "KUPIŠKIS – SUBAČIAUS MST. PER LUKONIS" 1236
"routes.txt" "route_long_name" "KUPIŠKIS – LAIČIAI PER KANDRĖNUS, SKAPIŠKIO MSTL." 1237
stop_too_far_from_shape WARNING 39

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.
299 "3636" "45756" 639 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
100 "3651" "45771" 668 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
15440 "3653" "45773" 669 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
956 "43544" "8124133" 204516 "9340" "Mokykla" [55.512857000000004,26.315831] 134.01174852768767
449 "43548" "8124139" 204554 "8484" "Mokykla" [55.513561,26.317414] 128.25393944619788
32 "26974" "7317013" 37559 "14216" "Glaudžiai" [55.90637400000001,21.877556999999996] 1731.1842381583824
32 "26974" "7317013" 37560 "10163" "Glaudžiai I" [55.90637400000001,21.877556999999996] 935.5388323636666
32 "26974" "7317013" 37575 "19491" "Plungės autobusų stotis" [55.918779,21.851513000000004] 152.03315218543798
364 "18654" "3218451" 24793 "67434" "Geluva" [55.249732,23.511073] 140.46827403515317
845 "32206" "7476587" 44549 "48065" "Troškūnų g." [55.521214350005486,25.097709664383384] 523.8519190658676
845 "32206" "7476587" 44550 "48066" "Geležinkelio stotis" [55.526276,25.103853] 785.72734673045
845 "32206" "7476587" 44551 "48068" "Kalno parduotuvė" [55.526598,25.099623999999995] 574.8082135251354
845 "32206" "7476587" 44554 "48071" "Pušyno mikrorajonas" [55.521132,25.115296] 658.3695095777266
845 "32206" "7476587" 44559 "48070" "Žiburio g." [55.525912999999996,25.113931000000004] 146.43308427108235
14682 "3899" "46086" 777 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
14261 "3014" "43694" 235 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
2387 "4529" "46899" 1566 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
28245 "4527" "47691" 2966 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
1412 "4528" "47692" 2967 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
385 "14622" "7150733" 36600 "14754" "Naiviai" [55.84397975379556,25.145549112350125] 765.6219655883444
1487 "2821" "45017" 575 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
739 "3339" "46943" 1567 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
2235 "4710" "47248" 2207 "4945" "Onuškis" [54.48374200000001,24.591959000000003] 103.16686496628398
27658 "4711" "47251" 2232 "4945" "Onuškis" [54.48374200000001,24.591959000000003] 103.16686496628398
1887 "11705" "747606" 15841 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
1691 "6511" "54507" 8108 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
246 "6509" "54501" 8054 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
15144 "6513" "54509" 8132 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
818 "29093" "7413977" 40398 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
1327 "29092" "7413975" 40354 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
1565 "5232" "48167" 3329 "14684" "Lieplaukalė" [55.9354974471734,21.831098374058865] 152.04079667279404
146 "44681" "8136902" 214482 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
2270 "3514" "45563" 586 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
2072 "3537" "45591" 611 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
1505 "17131" "2515701" 22132 "16347" "Sudervė" [54.761036,25.063001999999997] 2603.225038082936
14951 "3574" "45644" 612 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
15552 "3617" "45754" 638 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
345 "15331" "2211799" 19643 "6964" "Mikieriai" [55.66300100000001,25.169295] 153.6142678364674
1468 "15330" "2211796" 19618 "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.
1054 "3645" "57657" 12165 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 12164 "12152" "Jonaičiai" [55.34641499999999,21.570023]
14556 "3667" "57730" 12304 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 12303 "13926" "Jonaičiai" [55.346103,21.568929]
85 "3714" "57735" 12362 "13926" "Jonaičiai" [55.346103,21.568929] 12361 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
15273 "13808" "1228372" 18354 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 18353 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
28419 "26489" "7231018" 37178 "10486" "Kuršų m-la" [55.853816990580704,22.40675061105697] 37177 "7720" "Baltininkai" [55.85382305337965,22.406770171019815]
28585 "35668" "7652364" 55165 "20855" "Kontariškiai" [56.04984708813942,24.383280063416947] 55164 "20829" "Smegduobių parkas" [56.056377166218944,24.39590345350891]
2136 "28435" "7339430" 38969 "64819" "Suostas" [56.32837413018391,24.713657886432735] 38968 "16112" "Svydžiai" [56.352930797976754,24.686322368913352]
27487 "28434" "7339429" 38945 "10057" "Svydžiai" [56.35334128457164,24.685572701413516] 38944 "64820" "Suostas" [56.32837775901334,24.713656830174433]
97 "6591" "57635" 11825 "13926" "Jonaičiai" [55.346103,21.568929] 11824 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
1970 "3554" "57639" 11881 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 11880 "12152" "Jonaičiai" [55.34641499999999,21.570023]
27597 "40377" "8016002" 82930 "72301" "Kirlikai" [55.32834500402225,21.565359093761266] 82929 "97223" "Tarvydai I" [55.328604,21.56423]
14687 "40378" "8016003" 82939 "71683" "Tarvydai II" [55.31814711876975,21.598011981975805] 82938 "97223" "Tarvydai I" [55.328604,21.56423]
444 "5353" "57622" 11670 "13926" "Jonaičiai" [55.346103,21.568929] 11669 "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