GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2026-06-28T06:14:23+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: 57
  • Blocks: 0
  • Routes: 1675
  • Shapes: 4839
  • Stops: 16544
  • Trips: 44939

Specification Compliance report

118694 notices reported (0 errors, 118661 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`.
278 "21685" 461 "21748" "R2" "Tauragė - Šilalė" 3 "30"
1077 "16052" 1172 "6212" "M23" "Alytus - Punia - Butrimonys - Eigirdonys" 3 "48"
564 "3645" 1541 "8681" "144" "Vilnius (Žalgirio stotelė) – Nemenčinė per Pikeliškes" 3 "53"
equal_shape_distance_diff_coordinates_distance_below_threshold WARNING 3902

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 3902 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" 533093 29882.7 878 533092 29882.7 877 0.12791084993239907
"2328" 449023 35929.8 642 449022 35929.8 641 0.11119510090982554
"3659" 528143 49657.5 1177 528142 49657.5 1176 0.12791084993239907
"42205" 3515323 57850.1 335 3515322 57850.1 334 0.06178544815632574
"2369" 442674 63265.5 1261 442673 63265.5 1260 0.11119510090982554
"2385" 639057 69168.3 1771 639056 69168.3 1770 0.06441976500794575
"28733" 2314787 71509.2 1569 2314786 71509.2 1568 0.06441976500794575
"1919" 771148 136875.8 2842 771147 136875.8 2841 0.12752942403551987
"1919" 771151 136876.0 2845 771150 136876.0 2844 0.11119510090982554
"1919" 771158 136876.5 2852 771157 136876.5 2851 0.11119510232447394
"1919" 771161 136876.7 2855 771160 136876.7 2854 0.11119510161714974
"1919" 771164 136876.9 2858 771163 136876.9 2857 0.12752941555597483
"1919" 771173 136877.5 2867 771172 136877.5 2866 0.11119510090982554
"1919" 771176 136877.7 2870 771175 136877.7 2869 0.11119510161714974
"1919" 771179 136877.9 2873 771178 136877.9 2872 0.11119510090982554
"1919" 771186 136878.4 2880 771185 136878.4 2879 0.11119510090982554
"1919" 771189 136878.6 2883 771188 136878.6 2882 0.11119510161714974
"1919" 771198 136879.2 2892 771197 136879.2 2891 0.11119510090982554
"1919" 771201 136879.4 2895 771200 136879.4 2894 0.12752939825777979
"1919" 771204 136879.6 2898 771203 136879.6 2897 0.11119510161714974
"1919" 771213 136880.2 2907 771212 136880.2 2906 0.11119510161714974
"1919" 771217 136880.5 2911 771216 136880.5 2910 0.06244513630731429
"1919" 771223 136880.9 2917 771222 136880.9 2916 0.11119510161714974
"1919" 771226 136881.1 2920 771225 136881.1 2919 0.11119510090982554
"1919" 771229 136881.3 2923 771228 136881.3 2922 0.11119510090982554
"1919" 771238 136881.9 2932 771237 136881.9 2931 0.12752938095958766
"1919" 771241 136882.1 2935 771240 136882.1 2934 0.11119510161714974
"1919" 771252 136882.8 2946 771251 136882.8 2945 0.11119510161714974
"1919" 771257 136883.1 2951 771256 136883.1 2950 0.11119510161714974
"1919" 771265 136883.6 2959 771264 136883.6 2958 0.11119510090982554
"1919" 771270 136883.9 2964 771269 136883.9 2963 0.11119510090982554
"1919" 771283 136884.7 2977 771282 136884.7 2976 0.11119510161714974
"1919" 771285 136884.8 2979 771284 136884.8 2978 0.11119510090982554
"1919" 771288 136885.0 2982 771287 136885.0 2981 0.11119510161714974
"1919" 771296 136885.5 2990 771295 136885.5 2989 0.1275293557985862
"1919" 771298 136885.6 2992 771297 136885.6 2991 0.11119510161714974
"1919" 771301 136885.8 2995 771300 136885.8 2994 0.11119510090982554
"1919" 771303 136885.9 2997 771302 136885.9 2996 0.11119510232447394
"1919" 771309 136886.3 3003 771308 136886.3 3002 0.06244505260741443
"1919" 771314 136886.6 3008 771313 136886.6 3007 0.11119510161714974
"1919" 771316 136886.7 3010 771315 136886.7 3009 0.11119510090982554
"1919" 771319 136886.9 3013 771318 136886.9 3012 0.11119510090982554
"1919" 771321 136887.0 3015 771320 136887.0 3014 0.11119510090982554
"1919" 771327 136887.4 3021 771326 136887.4 3020 0.11119510090982554
"1919" 771329 136887.5 3023 771328 136887.5 3022 0.11119510161714974
"1919" 771332 136887.7 3026 771331 136887.7 3025 0.11119510090982554
"1919" 771334 136887.8 3028 771333 136887.8 3027 0.11119510161714974
"1919" 771345 136888.5 3039 771344 136888.5 3038 0.11119510161714974
"1919" 771347 136888.6 3041 771346 136888.6 3040 0.11119510090982554
"1919" 771350 136888.8 3044 771349 136888.8 3043 0.11119510090982554
equal_shape_distance_same_coordinates WARNING 13511

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 13511 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" 3102059 350.5 28 3102058 350.5 27
"43541" 3102070 811.7 39 3102069 811.7 38
"43541" 3102109 1779.8 78 3102108 1779.8 77
"43541" 3102153 3184.3 122 3102152 3184.3 121
"43541" 3102186 4418.1 155 3102185 4418.1 154
"43541" 3102202 4854.6 171 3102201 4854.6 170
"43541" 3102251 6561.9 220 3102250 6561.9 219
"43541" 3102287 7544.1 256 3102286 7544.1 255
"43541" 3102326 8757.6 295 3102325 8757.6 294
"43541" 3102343 9358.6 312 3102342 9358.6 311
"43541" 3102370 9709.1 339 3102369 9709.1 338
"43541" 3102416 10376.7 385 3102415 10376.7 384
"43541" 3102469 11116.1 438 3102468 11116.1 437
"43541" 3102500 11700.4 469 3102499 11700.4 468
"43541" 3102531 12284.8 500 3102530 12284.8 499
"43541" 3102792 14358.7 761 3102791 14358.7 760
"43541" 3102868 14706.8 837 3102867 14706.8 836
"43541" 3102968 15301.6 937 3102967 15301.6 936
"43541" 3103068 15896.4 1037 3103067 15896.4 1036
"43541" 3103144 16244.5 1113 3103143 16244.5 1112
"43541" 3103342 17133.2 1311 3103341 17133.2 1310
"43541" 3103585 18161.9 1554 3103584 18161.9 1553
"43541" 3103610 18472.3 1579 3103609 18472.3 1578
"43541" 3103660 18976.3 1629 3103659 18976.3 1628
"43541" 3103807 19673.4 1776 3103806 19673.4 1775
"43541" 3104036 21285.9 2005 3104035 21285.9 2004
"43541" 3104112 22756.6 2081 3104111 22756.6 2080
"43541" 3104188 24227.3 2157 3104187 24227.3 2156
"43541" 3104227 24719.6 2196 3104226 24719.6 2195
"43541" 3104244 25292.2 2213 3104243 25292.2 2212
"43541" 3104263 25625.9 2232 3104262 25625.9 2231
"43541" 3104351 26736.7 2320 3104350 26736.7 2319
"43541" 3104438 27236.5 2407 3104437 27236.5 2406
"43541" 3104487 28436.1 2456 3104486 28436.1 2455
"43541" 3104526 28928.5 2495 3104525 28928.5 2494
"43541" 3104577 29639.4 2546 3104576 29639.4 2545
"43541" 3104808 30811.2 2777 3104807 30811.2 2776
"43541" 3104884 31159.3 2853 3104883 31159.3 2852
"43541" 3104984 31754.1 2953 3104983 31754.1 2952
"43541" 3105084 32348.9 3053 3105083 32348.9 3052
"43541" 3105160 32697.0 3129 3105159 32697.0 3128
"43541" 3105358 33585.6 3327 3105357 33585.6 3326
"43541" 3105642 35228.5 3611 3105641 35228.5 3610
"43541" 3105695 35967.9 3664 3105694 35967.9 3663
"43541" 3105726 36552.2 3695 3105725 36552.2 3694
"43541" 3105757 37136.6 3726 3105756 37136.6 3725
"43531" 2177328 1036.1 44 2177327 1036.1 43
"43531" 2177357 1669.1 73 2177356 1669.1 72
"43531" 2177384 2285.2 100 2177383 2285.2 99
"43531" 2177425 4091.8 141 2177424 4091.8 140
expired_calendar WARNING 96

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 96 affected records are displayed below.

csvRowNumber (?) The row of the faulty record. serviceId (?) The service id of the faulty record.
8 "1076"
12549 "61320"
4081 "73341"
268 "61371"
20647 "61376"
20648 "61377"
12543 "61378"
4041 "1256"
4036 "1271"
16329 "1294"
2 "1339"
28273 "12709"
12261 "1379"
17009 "61630"
11 "1461"
20861 "61752"
487 "61753"
20862 "61754"
16849 "61755"
8646 "61756"
8647 "61757"
8648 "61758"
16848 "61748"
24753 "61760"
16851 "61766"
12779 "61759"
12781 "61770"
24755 "61772"
4557 "61773"
491 "61781"
28421 "1801"
16517 "1824"
28267 "1954"
24256 "20239"
28276 "20237"
4059 "44515"
4058 "44517"
28275 "17222"
20343 "17343"
47 "76307"
24280 "76308"
48 "76309"
8462 "62020"
8463 "62022"
28616 "62025"
16702 "62031"
20703 "62061"
20742 "62074"
28277 "13033"
4050 "13105"
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.
35062 "26_214-20260615" "21992" 248.17705011392752 4.136284168565458 364093 2 "26_312" "Rotinėnai" "08:21:00" 364094 3 "26_286" "Žerniai" "08:21:00"
36942 "51_1730" "21608" 167.9440224946068 8.397201124730339 261262 9 "51_21414" "Marcinkonys" "17:01:00" 261263 10 "51_44557" "Žiūrai" "17:03:00"
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.
36942 "51_1730" "21608" 161.5045529032965 10.766970193553101 261261 8 "51_21416" "Marcinkonių gel.stotis" "17:00:00" 261263 10 "51_44557" "Žiūrai" "17:03:00"
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.
26581 "2699" "8250445"
26651 "2699" "8250442"
26718 "2699" "8250411"
26736 "2699" "8250421"
26862 "2699" "8250510"
26866 "2699" "8250471"
26925 "2699" "8250420"
26933 "2699" "8250417"
26951 "2699" "8250439"
27020 "2699" "8250462"
27075 "2699" "8250466"
27156 "2699" "8250472"
27208 "2699" "8250497"
27223 "2699" "8250496"
27291 "2699" "8250476"
27310 "2699" "8250489"
27318 "2699" "8250506"
27352 "2699" "8250482"
27397 "2699" "8250488"
27449 "2699" "8250469"
27576 "2699" "8250459"
27750 "2699" "8250458"
27784 "2699" "8250492"
27799 "2699" "8250427"
27877 "2699" "8250455"
27878 "2699" "8250516"
27936 "2699" "8250461"
28028 "2699" "8250428"
28076 "2699" "8250443"
28101 "2699" "8250416"
28110 "2699" "8250481"
28139 "2699" "8250487"
28285 "2699" "8250419"
28314 "2699" "8250501"
28376 "2699" "8250486"
28400 "2699" "8250414"
28466 "2699" "8250460"
28476 "2699" "8250457"
28562 "2699" "8250509"
28674 "2699" "8250415"
28774 "2699" "8250513"
28889 "2699" "8250429"
28998 "2699" "8250515"
29153 "2699" "8250413"
29214 "2699" "8250473"
29283 "2699" "8250503"
29294 "2699" "8250483"
29298 "2699" "8250514"
29307 "2699" "8250478"
29336 "2699" "8250422"
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 "41979" 1
12 "41979" 2
13 "41979" 3
14 "41979" 4
15 "41980" 1
16 "41980" 2
17 "41980" 3
18 "41980" 4
19 "41981" 1
20 "41981" 2
21 "41981" 3
22 "41981" 4
23 "41982" 1
24 "41982" 2
25 "41982" 3
26 "41982" 4
27 "42101" 1
28 "42101" 2
29 "42101" 4
30 "42101" 5
31 "42101" 6
32 "42103" 1
33 "42103" 2
34 "42103" 4
35 "42103" 5
36 "42103" 6
37 "42105" 1
38 "42105" 2
39 "42105" 4
40 "42105" 5
41 "42203" 1
42 "42203" 2
43 "42203" 3
44 "42203" 4
45 "42203" 5
46 "42203" 6
47 "42203" 7
48 "42203" 8
49 "42203" 9
50 "42203" 10
51 "42203" 11
mixed_case_recommended_field WARNING 783

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 783 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\"" 57
"routes.txt" "route_long_name" "RIMKAI-MAXIMA-ŠVEICARIJA" 65
"routes.txt" "route_long_name" "JONAVA-RUKLA" 66
"routes.txt" "route_long_name" "JONAVA-JUŠKONYS" 67
"routes.txt" "route_long_name" "JONAVA-KULVA" 68
"routes.txt" "route_short_name" "3_VLP" 76
"routes.txt" "route_long_name" "ŠVENČIONYS-ŠUTONYS-ŠVENČIONYS" 141
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-JUODMENA-RIMKAI" 280
"routes.txt" "route_long_name" "JONAVA - SB TAUROSTA" 281
"routes.txt" "route_short_name" "5_VLP" 287
"routes.txt" "route_long_name" "ŠVENČIONYS-PABRADĖ-VILNIUS-PABRADĖ-ŠVENČIONYS" 296
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS, KANDRĖNUS, LAIČIUS" 333
"routes.txt" "route_long_name" "ŽELVA - PUSNĖ" 345
"routes.txt" "route_short_name" "40-DT" 431
"routes.txt" "route_long_name" "JONAVA-UPININKAI" 492
"routes.txt" "route_long_name" "JONAVA - PAGELEŽIAI" 493
"routes.txt" "route_long_name" "JONAVA-BUKONYS" 496
"routes.txt" "route_short_name" "2_VLP" 505
"routes.txt" "route_short_name" "94AT" 581
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 704
"routes.txt" "route_long_name" "RIMKAI-SKARULIŲ KAPINĖS" 705
"routes.txt" "route_long_name" "JONAVA-KĖDAINIAI" 706
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI-BUKONYS-ŠILAI-JONAVA" 707
"routes.txt" "route_long_name" "JONAVA-PREIŠIOGALĖLĖ-ŽINĖNAI-JONAVA" 708
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 722
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 754
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER KANDRĖNUS, LAIČIUS" 757
"routes.txt" "route_short_name" "94-DC" 808
"routes.txt" "route_long_name" "JONAVA-ŠĖTA" 913
"routes.txt" "route_long_name" "JONAVA-KUIGALIAI PER NAUJASODĮ" 914
"routes.txt" "route_short_name" "4_VLP" 919
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 937
"routes.txt" "route_short_name" "70AC" 1025
"routes.txt" "route_short_name" "1A_VLP" 1104
"routes.txt" "route_long_name" "ŠIRVINTOS - UKMERGĖ - ŠIRVINTOS" 1113
"routes.txt" "route_long_name" "KUPIŠKIS - ANTAŠAVA" 1129
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 1131
"routes.txt" "route_long_name" "JONAVA-KULVA PER JUODMENĄ" 1301
"routes.txt" "route_short_name" "2A_VLP" 1309
"routes.txt" "route_long_name" "KUPIŠKIS – PANEVĖŽYS" 1314
"routes.txt" "route_long_name" "KUPIŠKIS – ŠIMONYS PER MIGONIS" 1318
"routes.txt" "route_long_name" "ŽELVA - KIAUKLIAI" 1323
"routes.txt" "route_long_name" "ŠVENČIONYS-ADUTIŠKIS-JAKELIAI-ADUTIŠKIS-ŠVENČIONYS" 1339
"routes.txt" "route_short_name" "50AB" 1402
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS" 1416
"routes.txt" "route_long_name" "JONAVA-KAUNAS" 1513
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-GLOBOS NAMAI-RIMKAI" 1514
"routes.txt" "route_long_name" "JONAVA-ŽEIMIAI" 1515
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 1516
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI" 1517
stop_too_far_from_shape WARNING 38

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.
28767 "3636" "45756" 2602 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
27903 "3651" "45771" 2631 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
31940 "3653" "45773" 2632 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
27688 "43544" "8124133" 120857 "9340" "Mokykla" [55.512857000000004,26.315831] 134.01174852768767
29101 "43548" "8124139" 120895 "8484" "Mokykla" [55.513561,26.317414] 128.25393944619788
28825 "18654" "3218451" 25759 "30_844" "Geluva" [55.249732,23.511073] 140.46827403515317
26778 "32206" "7476588" 47395 "48065" "Troškūnų g." [55.521214350005486,25.097709664383384] 523.8519190658676
26778 "32206" "7476588" 47396 "48066" "Geležinkelio stotis" [55.526276,25.103853] 785.72734673045
26778 "32206" "7476588" 47397 "48068" "Kalno parduotuvė" [55.526598,25.099623999999995] 574.8082135251354
26778 "32206" "7476588" 47400 "48071" "Pušyno mikrorajonas" [55.521132,25.115296] 658.3695095777266
26778 "32206" "7476588" 47405 "48070" "Žiburio g." [55.525912999999996,25.113931000000004] 146.43308427108235
33677 "3899" "46086" 2740 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
33242 "3014" "43694" 1854 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
29137 "29420" "7429613" 44337 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
27793 "4529" "46899" 3413 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
29723 "4527" "47691" 4910 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
30216 "4528" "47692" 4911 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
28847 "14622" "7150733" 37865 "14754" "Naiviai" [55.84397975379556,25.145549112350125] 765.6219655883444
28147 "2821" "45017" 2526 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
34236 "29615" "7432118" 44745 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
30067 "29616" "7432119" 44793 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
27162 "3339" "46943" 3414 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
27256 "4710" "47248" 4133 "4945" "Onuškis" [54.48374200000001,24.591959000000003] 103.16686496628398
27482 "4711" "47250" 4146 "4945" "Onuškis" [54.48374200000001,24.591959000000003] 103.16686496628398
29313 "11705" "747606" 17001 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
28737 "6511" "54507" 9975 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
28521 "6509" "54501" 9921 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
33960 "6513" "54509" 9999 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
27340 "29093" "7413977" 42060 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
29940 "29092" "7413975" 42016 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
27947 "44681" "8136902" 130431 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
27285 "3514" "45563" 2549 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
31017 "3537" "45591" 2574 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
28162 "17131" "2515701" 23140 "16347" "Sudervė" [54.761036,25.063001999999997] 2603.225038082936
32991 "3574" "45644" 2575 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
32158 "3617" "45754" 2601 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
28808 "15331" "2211799" 20172 "6964" "Mikieriai" [55.66300100000001,25.169295] 153.6142678364674
26811 "15330" "2211796" 20147 "6964" "Mikieriai" [55.66300100000001,25.169295] 153.6142678364674
stop_without_stop_time WARNING 147

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 147 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.
29 "41_960" "Meškiai"
150 "41_1052" "Kukečiai"
434 "41_1087" "Mykolaičiai"
463 "41_1063" "Gordai"
480 "41_1250" "Stendas"
523 "43_3247" "Autobusų parkas"
599 "57_81" "2-oji Karmėlava A"
661 "41_1090" "Gedvydžiai"
713 "62_2953" "Jonučiai"
881 "_1018" "Altoniškiai"
899 "62_2940" "Pervaža"
925 "48_5192" "Takniškių kryžkelė"
1411 "41_1042" "Stendas"
1499 "44_2974" "Giedriai"
2251 "57_263" "K. Petrausko"
2329 "41_1050" "Grimziai"
2330 "41_1152" "Kurtuvėnai"
2446 "_3353" "Varžupio g."
2482 "41_1071" "Bridai"
2483 "41_1083" "Dargaičiai"
2545 "41_1157" "Spaudžiai"
2671 "41_978" "Lieporių k."
2706 "41_1091" "Gedvydžiai"
2879 "57_79" "Karmėlava"
2887 "62_2941" "Pervaža"
2945 "30_960" "Paalsys"
3021 "27_3667" "Biblioteka"
3083 "41_968" "Bazilionai"
3182 "41_1204" "Niūraičiai"
3424 "41_1030" "Kairiai"
3451 "41_1084" "Saveikiai"
3502 "44_2975" "Pakapė"
3503 "41_954" "Bubių miestelis"
3795 "41_1085" "Saveikiai"
3825 "41_1158" "Šukiškiai"
4081 "41_1056" "Gyvenvietė"
4083 "41_942" "Einoraičių st."
4085 "41_987" "Bubiai"
4087 "41_962" "140 km"
4189 "30_4450" "Šoliai"
4222 "41_1031" "Kairiai"
4262 "41_1178" "Gudeliai"
4462 "41_1138" "Turgus"
4700 "57_26" "Biruliškės"
4701 "57_236" "Sodai Neris"
4774 "41_1082" "Dargaičiai"
4827 "57_158" "Narėpai"
4828 "62_2899" "Raudondvaris"
4829 "62_2994" "Raudondvaris"
4938 "41_1053" "Paverpenis"
stops_match_shape_out_of_order WARNING 17

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.
26970 "3645" "57657" 13591 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 13590 "12152" "Jonaičiai" [55.34641499999999,21.570023]
30763 "3667" "57730" 13730 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 13729 "13926" "Jonaičiai" [55.346103,21.568929]
27131 "3714" "57735" 13788 "13926" "Jonaičiai" [55.346103,21.568929] 13787 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
31659 "13808" "1228372" 18856 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 18855 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
30004 "26489" "7231018" 38443 "10486" "Kuršų m-la" [55.853816990580704,22.40675061105697] 38442 "7720" "Baltininkai" [55.85382305337965,22.406770171019815]
3694 "57769" "30_415" 257444 "30_6224" "Vieversys" [55.059990000000006,22.656120000000005] 257443 "30_1012" "Greičių sodai" [55.06255881585111,22.648915161597998]
3696 "57705" "30_416" 257430 "30_6224" "Vieversys" [55.059990000000006,22.656120000000005] 257429 "30_1012" "Greičių sodai" [55.06255881585111,22.648915161597998]
3693 "57882" "30_414" 257461 "30_6224" "Vieversys" [55.059990000000006,22.656120000000005] 257460 "30_1012" "Greičių sodai" [55.06255881585111,22.648915161597998]
31251 "28435" "7339430" 39766 "64819" "Suostas" [56.32837413018391,24.713657886432735] 39765 "16112" "Svydžiai" [56.352930797976754,24.686322368913352]
28913 "28434" "7339429" 39742 "10057" "Svydžiai" [56.35334128457164,24.685572701413516] 39741 "64820" "Suostas" [56.32837775901334,24.713656830174433]
27900 "6591" "57635" 13251 "13926" "Jonaičiai" [55.346103,21.568929] 13250 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
29586 "3554" "57639" 13307 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 13306 "12152" "Jonaičiai" [55.34641499999999,21.570023]
29228 "40377" "8016002" 73262 "72301" "Kirlikai" [55.32834500402225,21.565359093761266] 73261 "97223" "Tarvydai I" [55.328604,21.56423]
33683 "40378" "8016003" 73271 "71683" "Tarvydai II" [55.31814711876975,21.598011981975805] 73270 "97223" "Tarvydai I" [55.328604,21.56423]
27221 "5353" "57618" 13079 "13926" "Jonaičiai" [55.346103,21.568929] 13078 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
28378 "54901" "8226897" 218829 "45588" "Balbieriškis" [54.524770000000004,23.885448] 218828 "45784" "Balbieriškis" [54.525039387689404,23.885400507640224]
26659 "54903" "8241502" 232242 "45588" "Balbieriškis" [54.524770000000004,23.885448] 232241 "45784" "Balbieriškis" [54.525039387689404,23.885400507640224]
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