GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2026-06-05T06:45:53+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: 48
  • Blocks: 0
  • Routes: 1312
  • Shapes: 3610
  • Stops: 13884
  • Trips: 27339

Specification Compliance report

109817 notices reported (0 errors, 109784 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`.
830 "16052" 899 "6212" "M23" "Alytus - Punia - Butrimonys - Eigirdonys" 3 "48"
331 "6209" 1005 "18329" "M1" "Alytus - Geniai" 3 "48"
407 "3645" 1223 "8681" "144" "Vilnius (Žalgirio stotelė) – Nemenčinė per Pikeliškes" 3 "53"
equal_shape_distance_diff_coordinates_distance_below_threshold WARNING 46

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" 311333 29882.7 878 311332 29882.7 877 0.12791084993239907
"3659" 306383 49657.5 1177 306382 49657.5 1176 0.12791084993239907
"42205" 1871370 57850.1 335 1871369 57850.1 334 0.06178544815632574
"9899" 645214 10140.5 535 645213 10140.5 534 0.06374919783940136
"36319" 811633 31015.9 528 811632 31015.9 527 0.0623586881758763
"36317" 1452188 38911.6 654 1452187 38911.6 653 0.0623586881758763
"38950" 1640365 11713.3 325 1640364 11713.3 324 0.06234682915415588
"38950" 1640366 11713.3 326 1640365 11713.3 325 0.06234682915415588
"3712" 329314 11159.7 339 329313 11159.7 338 0.12791084993239907
"11231" 9795 37139.9 834 9794 37139.9 833 0.0636527781910892
"7377" 668715 27067.3 649 668714 27067.3 648 0.12791084993239907
"46694" 1921672 23752.8 557 1921671 23752.8 556 0.06193557554384503
"18612" 1006298 37006.9 870 1006297 37006.9 869 0.0636527781910892
"12645" 841826 11954.2 545 841825 11954.2 544 0.06437323893721987
"37003" 79310 22299.5 518 79309 22299.5 517 0.0635133278590634
"34101" 1382837 3241.6 163 1382836 3241.6 162 0.0623586881758763
"15821" 926181 20596.5 662 926180 20596.5 661 0.12801541284872414
"34067" 1095309 49177.4 805 1095308 49177.4 804 0.0623586881758763
"44279" 883401 12494.9 411 883400 12494.9 410 0.061754062897733865
"34096" 1382041 3241.6 163 1382040 3241.6 162 0.0623586881758763
"34086" 1083097 3793.2 180 1083096 3793.2 179 0.0623586881758763
"34086" 1083643 17842.1 726 1083642 17842.1 725 0.06236154185211733
"34084" 777483 3793.2 180 777482 3793.2 179 0.0623586881758763
"34079" 809857 10297.4 210 809856 10297.4 209 0.06236154185211733
"39052" 80220 17654.0 367 80219 17654.0 366 0.06308593794989874
"32404" 1357803 13453.5 454 1357802 13453.5 453 0.06256821099246385
"20409" 1171220 20881.2 405 1171219 20881.2 404 0.06200667717945432
"20408" 1170399 6611.0 219 1170398 6611.0 218 0.06200667717945432
"4571" 481710 11713.3 325 481709 11713.3 324 0.06234682915415588
"4571" 481711 11713.3 326 481710 11713.3 325 0.06234682915415588
"47474" 1833291 22362.6 555 1833290 22362.6 554 0.0623586881758763
"47449" 1570119 16956.1 469 1570118 16956.1 468 0.06193557554384503
"35667" 1466312 5114.4 147 1466311 5114.4 146 0.12737703146093737
"6592" 564033 37595.4 841 564032 37595.4 840 0.12791084993239907
"33918" 1404382 12783.1 436 1404381 12783.1 435 0.06386439485468
"15279" 1002189 11652.3 181 1002188 11652.3 180 0.06234682915415588
"7096" 551916 11652.3 181 551915 11652.3 180 0.06234682915415588
"3515" 314593 11159.7 339 314592 11159.7 338 0.12791084993239907
"4871" 496365 11713.3 325 496364 11713.3 324 0.06234682915415588
"4871" 496366 11713.3 326 496365 11713.3 325 0.06234682915415588
"3550" 275575 11159.7 339 275574 11159.7 338 0.12791084993239907
"4878" 503332 11713.3 325 503331 11713.3 324 0.06234682915415588
"4878" 503333 11713.3 326 503332 11713.3 325 0.06234682915415588
"38905" 1636900 11713.3 325 1636899 11713.3 324 0.06234682915415588
"4912" 508989 11713.3 325 508988 11713.3 324 0.06234682915415588
"4912" 508990 11713.3 326 508989 11713.3 325 0.06234682915415588
equal_shape_distance_same_coordinates WARNING 8649

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 8649 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" 1737086 25.8 3 1737085 25.8 2
"55560" 1737127 2388.3 44 1737126 2388.3 43
"55560" 1737139 3182.6 56 1737138 3182.6 55
"55560" 1737143 3262.5 60 1737142 3262.5 59
"55560" 1737198 5428.3 115 1737197 5428.3 114
"55560" 1737207 5767.2 124 1737206 5767.2 123
"55560" 1737209 5959.5 126 1737208 5959.5 125
"55560" 1737212 6072.2 129 1737211 6072.2 128
"55560" 1737232 7328.9 149 1737231 7328.9 148
"55560" 1737267 9433.5 184 1737266 9433.5 183
"55560" 1737282 10146.9 199 1737281 10146.9 198
"55560" 1737303 11247.0 220 1737302 11247.0 219
"55560" 1737307 11334.1 224 1737306 11334.1 223
"55560" 1737357 14027.0 274 1737356 14027.0 273
"55560" 1737370 14822.5 287 1737369 14822.5 286
"55560" 1737395 16299.5 312 1737394 16299.5 311
"55560" 1737423 17487.3 340 1737422 17487.3 339
"55560" 1737461 19123.6 378 1737460 19123.6 377
"55560" 1737468 19373.1 385 1737467 19373.1 384
"55560" 1737495 20736.5 412 1737494 20736.5 411
"55560" 1737499 20821.5 416 1737498 20821.5 415
"55560" 1737531 21684.5 448 1737530 21684.5 447
"55560" 1737534 21734.4 451 1737533 21734.4 450
"55560" 1737541 22070.6 458 1737540 22070.6 457
"55560" 1737548 22632.4 465 1737547 22632.4 464
"55560" 1737555 23104.4 472 1737554 23104.4 471
"55560" 1737572 23985.8 489 1737571 23985.8 488
"55560" 1737578 24095.3 495 1737577 24095.3 494
"55560" 1737580 24162.1 497 1737579 24162.1 496
"55564" 1739588 387.4 21 1739587 387.4 20
"55564" 1739596 517.7 29 1739595 517.7 28
"55564" 1739620 1286.2 53 1739619 1286.2 52
"55564" 1739631 1651.0 64 1739630 1651.0 63
"55564" 1739634 1717.3 67 1739633 1717.3 66
"55564" 1739636 1746.4 69 1739635 1746.4 68
"55564" 1739638 1790.4 71 1739637 1790.4 70
"55564" 1739641 1896.5 74 1739640 1896.5 73
"55564" 1739644 1925.9 77 1739643 1925.9 76
"55564" 1739648 2045.2 81 1739647 2045.2 80
"55564" 1739653 2341.1 86 1739652 2341.1 85
"55564" 1739662 2582.6 95 1739661 2582.6 94
"55564" 1739666 2663.9 99 1739665 2663.9 98
"55564" 1739678 2771.7 111 1739677 2771.7 110
"55564" 1739693 2855.1 126 1739692 2855.1 125
"55564" 1739698 2992.2 131 1739697 2992.2 130
"55564" 1739706 3182.5 139 1739705 3182.5 138
"55564" 1739708 3254.5 141 1739707 3254.5 140
"55564" 1739714 3485.8 147 1739713 3485.8 146
"55564" 1739734 4000.4 167 1739733 4000.4 166
"55564" 1739754 4321.1 187 1739753 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"
8975 "13743"
2232 "73341"
4458 "2499"
2200 "1256"
2197 "1271"
8944 "1294"
2 "1339"
4455 "2685"
15473 "12709"
6725 "1379"
8969 "2737"
11139 "2766"
8 "1461"
11150 "47502"
13272 "2814"
8970 "2849"
8971 "2852"
11141 "2850"
6738 "2980"
11140 "2975"
4456 "2974"
13271 "2972"
15468 "1954"
13279 "20239"
15476 "20237"
15475 "17222"
13277 "31530"
11146 "17343"
15463 "678"
8943 "973"
34 "76307"
13298 "76308"
35 "76309"
15470 "3000"
4457 "3012"
15477 "13033"
2209 "13105"
11171 "76816"
11 "2009"
13 "2022"
8961 "2066"
6736 "2111"
11138 "2123"
8963 "2137"
8989 "62494"
4448 "2158"
4451 "2175"
4453 "2173"
8976 "14823"
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.
5659 "48_1760" "16027" 241.63706430018638 4.0272844050031065 572194 33 "48_5597" "Ąžuoliniai" "07:55:00" 572195 34 "48_7379" "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.
5659 "48_1760" "16027" 205.63332489854255 10.281666244927129 572191 30 "48_7368" "Gluosninkai" "07:53:00" 572195 34 "48_7379" "Ostampas" "07:55:00"
missing_bike_allowance WARNING 160

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 160 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.
14774 "2699" "8250457"
14807 "2699" "8250504"
14853 "2699" "8250499"
14896 "2699" "8250487"
14935 "2699" "8250486"
14957 "2699" "8250414"
15042 "2699" "8250509"
15076 "2699" "8250470"
15124 "2699" "8250500"
15149 "2699" "8250456"
15208 "2699" "8250460"
15219 "2699" "8250415"
15245 "2699" "8250513"
15425 "2699" "8250491"
15673 "2699" "8250426"
15766 "2699" "8250515"
16000 "2699" "8250444"
16027 "2699" "8250503"
16035 "2699" "8250483"
16038 "2699" "8250514"
16048 "2699" "8250478"
16075 "2699" "8250422"
16098 "2699" "8250413"
16131 "2699" "8250433"
16155 "2699" "8250431"
16225 "2699" "8250437"
16261 "2699" "8250498"
16280 "2699" "8250434"
16310 "2699" "8250463"
16408 "2699" "8250438"
16417 "2699" "8250484"
16420 "2699" "8250465"
16474 "2699" "8250505"
16478 "2699" "8250479"
16497 "2699" "8250467"
16503 "2699" "8250430"
16525 "2699" "8250511"
16526 "2699" "8250485"
16581 "2699" "8250435"
16589 "2699" "8250475"
16695 "2699" "8250445"
16799 "2699" "8250464"
16807 "2699" "8250432"
16853 "2699" "8250512"
16865 "2699" "8250468"
17132 "2699" "8250494"
17233 "2699" "8250493"
17237 "2699" "8250441"
17287 "2699" "8250477"
17298 "2699" "8250407"
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 624

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 624 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\"" 48
"routes.txt" "route_long_name" "JONAVA-KAUNAS" 26
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 28
"routes.txt" "route_long_name" "RIMKAI-MAXIMA-ŠVEICARIJA" 29
"routes.txt" "route_long_name" "RIMKAI-SKARULIŲ KAPINĖS" 30
"routes.txt" "route_short_name" "3_VLP" 40
"routes.txt" "route_long_name" "ŠVENČIONYS-ŠUTONYS-ŠVENČIONYS" 50
"routes.txt" "route_short_name" "5_VLP" 208
"routes.txt" "route_long_name" "ŽELVA - PUSNĖ" 224
"routes.txt" "route_long_name" "ŠVENČIONYS-PABRADĖ-VILNIUS-PABRADĖ-ŠVENČIONYS" 234
"routes.txt" "route_short_name" "40-DT" 294
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS, KANDRĖNUS, LAIČIUS" 320
"routes.txt" "route_long_name" "JONAVA-BUKONYS" 358
"routes.txt" "route_long_name" "JONAVA-UPININKAI" 361
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI-BUKONYS-ŠILAI-JONAVA" 366
"routes.txt" "route_long_name" "JONAVA-PREIŠIOGALĖLĖ-ŽINĖNAI-JONAVA" 367
"routes.txt" "route_short_name" "2_VLP" 375
"routes.txt" "route_short_name" "94AT" 492
"routes.txt" "route_long_name" "JONAVA - PAGELEŽIAI" 532
"routes.txt" "route_long_name" "JONAVA-JUŠKONYS" 534
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 545
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER KANDRĖNUS, LAIČIUS" 546
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 596
"routes.txt" "route_short_name" "94-DC" 626
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI" 670
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 671
"routes.txt" "route_long_name" "JONAVA-ŽEIMIAI" 672
"routes.txt" "route_long_name" "JONAVA-KUIGALIAI PER NAUJASODĮ" 677
"routes.txt" "route_short_name" "4_VLP" 689
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 733
"routes.txt" "route_short_name" "70AC" 754
"routes.txt" "route_long_name" "JONAVA-RUKLA" 821
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-GLOBOS NAMAI-RIMKAI" 822
"routes.txt" "route_long_name" "JONAVA-KULVA PER JUODMENĄ" 823
"routes.txt" "route_long_name" "JONAVA-ŽINĖNAI-PREIŠIOGALĖLĖ-JONAVA" 827
"routes.txt" "route_short_name" "1A_VLP" 836
"routes.txt" "route_long_name" "KUPIŠKIS - ANTAŠAVA" 852
"routes.txt" "route_long_name" "ŠIRVINTOS - UKMERGĖ - ŠIRVINTOS" 930
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 948
"routes.txt" "route_short_name" "2A_VLP" 1011
"routes.txt" "route_long_name" "KUPIŠKIS – ŠIMONYS PER MIGONIS" 1020
"routes.txt" "route_long_name" "PASVALYS-ŽILPAMŪŠIS PER TETIRVINUS" 1034
"routes.txt" "route_long_name" "ŠVENČIONYS-ADUTIŠKIS-JAKELIAI-ADUTIŠKIS-ŠVENČIONYS" 1044
"routes.txt" "route_long_name" "KUPIŠKIS – PANEVĖŽYS" 1045
"routes.txt" "route_long_name" "ŽELVA - KIAUKLIAI" 1050
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS" 1053
"routes.txt" "route_short_name" "50AB" 1128
"routes.txt" "route_long_name" "JONAVA-ŠĖTA" 1154
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-JUODMENA-RIMKAI" 1155
"routes.txt" "route_long_name" "JONAVA-KULVA" 1157
stop_too_far_from_shape WARNING 35

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.
15237 "3636" "45756" 639 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
18717 "3651" "45771" 668 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
17996 "3653" "45773" 669 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
18701 "43544" "8124133" 198049 "9340" "Mokykla" [55.512857000000004,26.315831] 134.01174852768767
15571 "43548" "8124139" 198087 "8484" "Mokykla" [55.513561,26.317414] 128.25393944619788
15294 "18654" "3218451" 23008 "42_844" "Geluva" [55.249732,23.511073] 140.46827403515317
15065 "32206" "7476586" 40255 "48065" "Troškūnų g." [55.521214350005486,25.097709664383384] 523.8519190658676
15065 "32206" "7476586" 40256 "48066" "Geležinkelio stotis" [55.526276,25.103853] 785.72734673045
15065 "32206" "7476586" 40257 "48068" "Kalno parduotuvė" [55.526598,25.099623999999995] 574.8082135251354
15065 "32206" "7476586" 40260 "48071" "Pušyno mikrorajonas" [55.521132,25.115296] 658.3695095777266
15065 "32206" "7476586" 40265 "48070" "Žiburio g." [55.525912999999996,25.113931000000004] 146.43308427108235
15717 "3899" "46086" 777 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
15393 "3014" "43694" 235 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
18611 "4529" "46899" 1303 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
16368 "4527" "47691" 2703 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
17137 "4528" "47692" 2704 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
15313 "14622" "7150733" 34681 "14754" "Naiviai" [55.84397975379556,25.145549112350125] 765.6219655883444
14903 "2821" "45017" 575 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
18123 "3339" "46943" 1304 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
18099 "4710" "47248" 1944 "4945" "Onuškis" [54.48374200000001,24.591959000000003] 103.16686496628398
25468 "4711" "47251" 1969 "4945" "Onuškis" [54.48374200000001,24.591959000000003] 103.16686496628398
16055 "11705" "747606" 14779 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
15481 "6511" "54507" 7759 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
14999 "6509" "54501" 7705 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
16178 "6513" "54509" 7783 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
18371 "29093" "7413977" 37903 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
16875 "29092" "7413975" 37859 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
14919 "44681" "8136900" 207978 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
18307 "3514" "45563" 586 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
17527 "3537" "45591" 611 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
14920 "17131" "2515701" 20389 "16347" "Sudervė" [54.761036,25.063001999999997] 2603.225038082936
15105 "3574" "45644" 612 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
18233 "3617" "45754" 638 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
15277 "15331" "2211799" 17900 "6964" "Mikieriai" [55.66300100000001,25.169295] 153.6142678364674
16020 "15330" "2211797" 17887 "6964" "Mikieriai" [55.66300100000001,25.169295] 153.6142678364674
stop_without_stop_time WARNING 193

stop_without_stop_time

A stop in stops.txt is not referenced by any stop_times.stop_id.

Such stops are not used by any trip and normally do not provide user value. This notice may indicate a typo in stop_times.txt.

You can see more about this notice here.

Only the first 50 of 193 affected records are displayed below.

csvRowNumber (?) The row number of the faulty record. stopId (?) The id of the faulty stop. stopName (?) The name of the faulty stop.
7 "62_130" "Margava"
35 "47_1088" "Piktuižiai"
62 "41_1048" "Šilo Pavėžupis"
80 "16_952" "Aukštelkė"
82 "27_3667" "Biblioteka"
205 "62_2983" "Neveronys"
366 "62_2898" "Raudondvaris"
481 "41_953" "Aukštelkė"
523 "27_3500" "Sodra"
676 "41_1057" "Paverpenis"
695 "44_936" "Giedriai"
709 "16_978" "Lieporių k."
710 "16_1182" "Gudeliai"
733 "47_1093" "Viliočiai"
750 "53_1017" "Antakalnio žiedas"
784 "57_295" "Žinėnai"
1053 "57_27" "Biruliškės"
1168 "44_931" "Einoraičiai"
1190 "16_1168" "Laisvučiai"
1248 "57_80" "2-oji Karmėlava B"
1293 "47_1094" "Viliočiai"
1454 "41_1179" "Tytuvėnėliai"
1455 "41_1182" "Gudeliai"
1457 "41_962" "140 km"
1499 "44_1027" "Bertužiai"
1586 "41_968" "Bazilionai"
1587 "41_930" "Lingailiai"
1639 "62_2841" "Kauno pilis"
1668 "16_950" "Beržynė"
1752 "41_951" "Beržynė"
1766 "44_930" "Lingailiai"
1771 "16_1157" "Spaudžiai"
1773 "16_962" "140 km"
1830 "62_158" "Narėpai"
1899 "62_2940" "Pervaža"
2183 "20_4881" "Naisiai"
2347 "16_1051" "Elvyrava"
2480 "57_26" "Biruliškės"
2489 "22_1026" "Bertužiai"
2490 "22_1028" "Susivienijimas"
2562 "27_3497" "Strielčiai"
2639 "62_79" "Karmėlava"
2760 "57_79" "Karmėlava"
2783 "44_944" "Lingailiai"
2819 "41_950" "Beržynė"
2850 "44_978" "Lieporių k."
2855 "62_27" "Biruliškės"
2880 "16_1166" "Sodai"
2982 "47_1086" "Mykolaičiai"
3094 "16_1156" "Sodai"
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.
17530 "3645" "57657" 11375 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 11374 "12152" "Jonaičiai" [55.34641499999999,21.570023]
17305 "3667" "57730" 11514 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 11513 "13926" "Jonaičiai" [55.346103,21.568929]
15865 "3714" "57736" 11588 "13926" "Jonaičiai" [55.346103,21.568929] 11587 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
17688 "13808" "1228372" 16611 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 16610 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
15841 "26489" "7231018" 35259 "10486" "Kuršų m-la" [55.853816990580704,22.40675061105697] 35258 "7720" "Baltininkai" [55.85382305337965,22.406770171019815]
16637 "35668" "7652364" 50472 "20855" "Kontariškiai" [56.04984708813942,24.383280063416947] 50471 "20829" "Smegduobių parkas" [56.056377166218944,24.39590345350891]
17810 "28435" "7339430" 36474 "64819" "Suostas" [56.32837413018391,24.713657886432735] 36473 "16112" "Svydžiai" [56.352930797976754,24.686322368913352]
26529 "28434" "7339429" 36450 "10057" "Svydžiai" [56.35334128457164,24.685572701413516] 36449 "64820" "Suostas" [56.32837775901334,24.713656830174433]
15856 "6591" "57636" 11051 "13926" "Jonaičiai" [55.346103,21.568929] 11050 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
16305 "3554" "57639" 11091 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 11090 "12152" "Jonaičiai" [55.34641499999999,21.570023]
25415 "40377" "8016002" 77127 "72301" "Kirlikai" [55.32834500402225,21.565359093761266] 77126 "97223" "Tarvydai I" [55.328604,21.56423]
15722 "40378" "8016003" 77136 "71683" "Tarvydai II" [55.31814711876975,21.598011981975805] 77135 "97223" "Tarvydai I" [55.328604,21.56423]
15567 "5353" "57622" 10880 "13926" "Jonaičiai" [55.346103,21.568929] 10879 "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