GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2026-02-07T06:08:24+02:00,
for the dataset https://www.visimarsrutai.lt/gtfs/google_transit.zip. No country code was provided.

Use this report alongside our documentation.

⚠ This feed contains GTFS Flex features. Please note that GTFS Flex validation support is still in development. You can manually review all the validation rules for Flex data here.

A new version of the Canonical GTFS Schedule validator is available! Please update to get the latest/best validation results.

Summary

Agencies included

Feed Info

Publisher Name:
N/A
Publisher URL:
N/A
Feed Email:
N/A
Feed Language:
N/A

Files included

  1. agency.txt
  2. attributions.txt
  3. calendar.txt
  4. calendar_dates.txt
  5. fare_attributes.txt
  6. fare_rules.txt
  7. routes.txt
  8. shapes.txt
  9. stop_times.txt
  10. stops.txt
  11. trips.txt

Counts

  • Agencies: 40
  • Blocks: 0
  • Routes: 1275
  • Shapes: 3222
  • Stops: 11995
  • Trips: 20298

Specification Compliance report

113613 notices reported (0 errors, 113580 warnings, 33 infos)

Notice Code Severity Total
duplicate_route_name WARNING 4

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`.
215 "6209" 322 "18329" "M1" "Alytus - Geniai" 3 "48"
683 "16052" 915 "6212" "M23" "Alytus - Punia - Butrimonys - Eigirdonys" 3 "48"
185 "19067" 967 "19066" "M-152" "Kauno g.-Poliklinika-Birštono seniūnija" 3 "58"
395 "3645" 1185 "8681" "144" "Vilnius (Žalgirio stotelė) – Nemenčinė per Pikeliškes" 3 "53"
equal_shape_distance_diff_coordinates_distance_below_threshold WARNING 4150

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 4150 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" 491091 29882.7 878 491090 29882.7 877 0.12791084993239907
"2328" 395909 35929.8 642 395908 35929.8 641 0.11119510090982554
"3659" 486141 49657.5 1177 486140 49657.5 1176 0.12791084993239907
"42205" 3154896 57850.1 335 3154895 57850.1 334 0.06178544815632574
"2369" 381158 63265.5 1261 381157 63265.5 1260 0.11119510090982554
"2385" 596163 69168.3 1771 596162 69168.3 1770 0.06441976500794575
"28733" 2280483 71509.2 1569 2280482 71509.2 1568 0.06441976500794575
"1919" 762028 136875.8 2842 762027 136875.8 2841 0.12752942403551987
"1919" 762031 136876.0 2845 762030 136876.0 2844 0.11119510090982554
"1919" 762038 136876.5 2852 762037 136876.5 2851 0.11119510232447394
"1919" 762041 136876.7 2855 762040 136876.7 2854 0.11119510161714974
"1919" 762044 136876.9 2858 762043 136876.9 2857 0.12752941555597483
"1919" 762053 136877.5 2867 762052 136877.5 2866 0.11119510090982554
"1919" 762056 136877.7 2870 762055 136877.7 2869 0.11119510161714974
"1919" 762059 136877.9 2873 762058 136877.9 2872 0.11119510090982554
"1919" 762066 136878.4 2880 762065 136878.4 2879 0.11119510090982554
"1919" 762069 136878.6 2883 762068 136878.6 2882 0.11119510161714974
"1919" 762078 136879.2 2892 762077 136879.2 2891 0.11119510090982554
"1919" 762081 136879.4 2895 762080 136879.4 2894 0.12752939825777979
"1919" 762084 136879.6 2898 762083 136879.6 2897 0.11119510161714974
"1919" 762093 136880.2 2907 762092 136880.2 2906 0.11119510161714974
"1919" 762097 136880.5 2911 762096 136880.5 2910 0.06244513630731429
"1919" 762103 136880.9 2917 762102 136880.9 2916 0.11119510161714974
"1919" 762106 136881.1 2920 762105 136881.1 2919 0.11119510090982554
"1919" 762109 136881.3 2923 762108 136881.3 2922 0.11119510090982554
"1919" 762118 136881.9 2932 762117 136881.9 2931 0.12752938095958766
"1919" 762121 136882.1 2935 762120 136882.1 2934 0.11119510161714974
"1919" 762132 136882.8 2946 762131 136882.8 2945 0.11119510161714974
"1919" 762137 136883.1 2951 762136 136883.1 2950 0.11119510161714974
"1919" 762145 136883.6 2959 762144 136883.6 2958 0.11119510090982554
"1919" 762150 136883.9 2964 762149 136883.9 2963 0.11119510090982554
"1919" 762163 136884.7 2977 762162 136884.7 2976 0.11119510161714974
"1919" 762165 136884.8 2979 762164 136884.8 2978 0.11119510090982554
"1919" 762168 136885.0 2982 762167 136885.0 2981 0.11119510161714974
"1919" 762176 136885.5 2990 762175 136885.5 2989 0.1275293557985862
"1919" 762178 136885.6 2992 762177 136885.6 2991 0.11119510161714974
"1919" 762181 136885.8 2995 762180 136885.8 2994 0.11119510090982554
"1919" 762183 136885.9 2997 762182 136885.9 2996 0.11119510232447394
"1919" 762189 136886.3 3003 762188 136886.3 3002 0.06244505260741443
"1919" 762194 136886.6 3008 762193 136886.6 3007 0.11119510161714974
"1919" 762196 136886.7 3010 762195 136886.7 3009 0.11119510090982554
"1919" 762199 136886.9 3013 762198 136886.9 3012 0.11119510090982554
"1919" 762201 136887.0 3015 762200 136887.0 3014 0.11119510090982554
"1919" 762207 136887.4 3021 762206 136887.4 3020 0.11119510090982554
"1919" 762209 136887.5 3023 762208 136887.5 3022 0.11119510161714974
"1919" 762212 136887.7 3026 762211 136887.7 3025 0.11119510090982554
"1919" 762214 136887.8 3028 762213 136887.8 3027 0.11119510161714974
"1919" 762225 136888.5 3039 762224 136888.5 3038 0.11119510161714974
"1919" 762227 136888.6 3041 762226 136888.6 3040 0.11119510090982554
"1919" 762230 136888.8 3044 762229 136888.8 3043 0.11119510090982554
equal_shape_distance_same_coordinates WARNING 8268

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 8268 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" 2991528 350.5 28 2991527 350.5 27
"43541" 2991539 811.7 39 2991538 811.7 38
"43541" 2991578 1779.8 78 2991577 1779.8 77
"43541" 2991622 3184.3 122 2991621 3184.3 121
"43541" 2991655 4418.1 155 2991654 4418.1 154
"43541" 2991671 4854.6 171 2991670 4854.6 170
"43541" 2991720 6561.9 220 2991719 6561.9 219
"43541" 2991756 7544.1 256 2991755 7544.1 255
"43541" 2991795 8757.6 295 2991794 8757.6 294
"43541" 2991812 9358.6 312 2991811 9358.6 311
"43541" 2991839 9709.1 339 2991838 9709.1 338
"43541" 2991885 10376.7 385 2991884 10376.7 384
"43541" 2991938 11116.1 438 2991937 11116.1 437
"43541" 2991969 11700.4 469 2991968 11700.4 468
"43541" 2992000 12284.8 500 2991999 12284.8 499
"43541" 2992261 14358.7 761 2992260 14358.7 760
"43541" 2992337 14706.8 837 2992336 14706.8 836
"43541" 2992437 15301.6 937 2992436 15301.6 936
"43541" 2992537 15896.4 1037 2992536 15896.4 1036
"43541" 2992613 16244.5 1113 2992612 16244.5 1112
"43541" 2992811 17133.2 1311 2992810 17133.2 1310
"43541" 2993054 18161.9 1554 2993053 18161.9 1553
"43541" 2993079 18472.3 1579 2993078 18472.3 1578
"43541" 2993129 18976.3 1629 2993128 18976.3 1628
"43541" 2993276 19673.4 1776 2993275 19673.4 1775
"43541" 2993505 21285.9 2005 2993504 21285.9 2004
"43541" 2993581 22756.6 2081 2993580 22756.6 2080
"43541" 2993657 24227.3 2157 2993656 24227.3 2156
"43541" 2993696 24719.6 2196 2993695 24719.6 2195
"43541" 2993713 25292.2 2213 2993712 25292.2 2212
"43541" 2993732 25625.9 2232 2993731 25625.9 2231
"43541" 2993820 26736.7 2320 2993819 26736.7 2319
"43541" 2993907 27236.5 2407 2993906 27236.5 2406
"43541" 2993956 28436.1 2456 2993955 28436.1 2455
"43541" 2993995 28928.5 2495 2993994 28928.5 2494
"43541" 2994046 29639.4 2546 2994045 29639.4 2545
"43541" 2994277 30811.2 2777 2994276 30811.2 2776
"43541" 2994353 31159.3 2853 2994352 31159.3 2852
"43541" 2994453 31754.1 2953 2994452 31754.1 2952
"43541" 2994553 32348.9 3053 2994552 32348.9 3052
"43541" 2994629 32697.0 3129 2994628 32697.0 3128
"43541" 2994827 33585.6 3327 2994826 33585.6 3326
"43541" 2995111 35228.5 3611 2995110 35228.5 3610
"43541" 2995164 35967.9 3664 2995163 35967.9 3663
"43541" 2995195 36552.2 3695 2995194 36552.2 3694
"43541" 2995226 37136.6 3726 2995225 37136.6 3725
"42206" 3155067 20641.7 108 3155066 20641.7 107
"42206" 3155090 24205.9 131 3155089 24205.9 130
"43537" 3165341 310.3 26 3165340 310.3 25
"43537" 3165354 811.7 39 3165353 811.7 38
expired_calendar WARNING 67

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 67 affected records are displayed below.

csvRowNumber (?) The row of the faulty record. serviceId (?) The service id of the faulty record.
10031 "17222"
8601 "31530"
6 "1076"
5784 "13743"
1481 "73341"
7183 "17343"
2879 "2499"
23 "43774"
1430 "1256"
1426 "1271"
5749 "1294"
10032 "24602"
2 "1339"
2876 "2685"
10029 "12709"
4323 "1379"
5775 "2737"
7175 "2766"
1446 "60347"
8 "1461"
7188 "47502"
10018 "678"
8595 "2814"
5779 "2849"
5780 "2852"
7177 "2850"
4338 "2980"
7176 "2975"
2877 "2974"
8594 "2972"
5748 "973"
57 "76307"
8645 "76308"
58 "76309"
7202 "60928"
7197 "60959"
5793 "47985"
10023 "1954"
2901 "60890"
10026 "3000"
2878 "3012"
8603 "20239"
10033 "20237"
10034 "13033"
1437 "13105"
7240 "76816"
11 "2009"
13 "2022"
7193 "48071"
25 "48073"
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.
9630 "21_APNV_416-45-3-250526-ab-1310" "17272" 196.9887428340989 3.283145713901648 204970 17 "99227" "Krekenava" "14:03:00" 204971 18 "99243" "Rabikiai" "14:03:00"
missing_bike_allowance WARNING 118

missing_bike_allowance

Ferry trips should include bike allowance information.

All ferry trips should have a valid value in the bikes_allowed field in trips.txt.

You can see more about this notice here.

Only the first 50 of 118 affected records are displayed below.

csvRowNumber (?) The row number of the faulty record. routeId (?) The faulty record's route id. tripId (?) The faulty record's trip id.
10956 "2699" "7597184"
11079 "2699" "7597146"
11182 "2699" "7597170"
11212 "2699" "7597140"
11256 "2699" "7597174"
11265 "2699" "7597139"
11325 "2699" "7597169"
11426 "2699" "7597191"
11430 "2699" "7597133"
11491 "2699" "7597147"
11557 "2699" "7597183"
11734 "2699" "7597130"
11754 "2699" "7597181"
11777 "2699" "7597148"
11807 "2699" "7597194"
11816 "2699" "7597131"
11831 "2699" "7597163"
11866 "2699" "7597188"
11869 "2699" "7597203"
11875 "2699" "7597157"
11952 "2699" "7597150"
12083 "2699" "7597212"
12163 "2699" "7597127"
12207 "2699" "7597128"
12223 "2699" "7597186"
12334 "2699" "7597166"
12376 "2699" "7597177"
12513 "2699" "7597202"
12640 "2699" "7597136"
12659 "2699" "7597125"
12728 "2699" "7597210"
12734 "2699" "7597201"
12735 "2699" "7597172"
12765 "2699" "7597211"
12795 "2699" "7597208"
12855 "2699" "7597164"
12860 "2699" "7597176"
12876 "2699" "7597137"
12921 "2699" "7597187"
12957 "2699" "7597156"
12982 "2699" "7597209"
13004 "2699" "7597160"
13184 "2699" "7597189"
13200 "2699" "7597195"
13221 "2699" "7597171"
13300 "2699" "7597180"
13380 "2699" "7597141"
13409 "2699" "7597182"
13446 "2699" "7597132"
13553 "2699" "7597192"
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 897

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 897 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\"" 40
"routes.txt" "route_long_name" "RIMKAI-MAXIMA-ŠVEICARIJA" 37
"routes.txt" "route_long_name" "JONAVA-ŽEIMIAI" 38
"routes.txt" "route_long_name" "JONAVA-PREIŠIOGALĖLĖ-ŽINĖNAI-JONAVA" 149
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 188
"routes.txt" "route_long_name" "JONAVA-KULVA PER JUODMENĄ" 189
"routes.txt" "route_long_name" "JONAVA-KAUNAS" 190
"routes.txt" "route_long_name" "JONAVA-KULVA" 191
"routes.txt" "route_long_name" "JONAVA-UPININKAI" 193
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS, KANDRĖNUS, LAIČIUS" 255
"routes.txt" "route_long_name" "ŽELVA - PUSNĖ" 308
"routes.txt" "route_short_name" "40-DT" 329
"routes.txt" "route_long_name" "JONAVA-JUŠKONYS" 352
"routes.txt" "route_long_name" "JONAVA-ŠĖTA" 353
"routes.txt" "route_long_name" "JONAVA-KUIGALIAI PER NAUJASODĮ" 354
"routes.txt" "route_short_name" "94AT" 478
"routes.txt" "route_long_name" "JONAVA-ŽINĖNAI-PREIŠIOGALĖLĖ-JONAVA" 488
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-GLOBOS NAMAI-RIMKAI" 521
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 565
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER KANDRĖNUS, LAIČIUS" 569
"routes.txt" "route_short_name" "94-DC" 609
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI" 678
"routes.txt" "route_long_name" "JONAVA-RUKLA" 679
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI-BUKONYS-ŠILAI-JONAVA" 680
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-JUODMENA-RIMKAI" 681
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 715
"routes.txt" "route_short_name" "70AC" 780
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 822
"routes.txt" "route_long_name" "JONAVA-GAIŽIŪNŲ STOTIS" 823
"routes.txt" "route_long_name" "KUPIŠKIS - ANTAŠAVA" 832
"routes.txt" "route_long_name" "ŠIRVINTOS - UKMERGĖ - ŠIRVINTOS" 856
"routes.txt" "route_long_name" "JONAVA-BUKONYS" 970
"routes.txt" "route_long_name" "KUPIŠKIS – PANEVĖŽYS" 982
"routes.txt" "route_long_name" "KUPIŠKIS – ŠIMONYS PER MIGONIS" 989
"routes.txt" "route_long_name" "ŽELVA - KIAUKLIAI" 1004
"routes.txt" "route_short_name" "50AB" 1041
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS" 1072
"routes.txt" "route_long_name" "JONAVA - PAGELEŽIAI" 1100
"routes.txt" "route_long_name" "JONAVA-KĖDAINIAI" 1144
"routes.txt" "route_long_name" "KUPIŠKIS – VAINIŪNIŠKIS (PER PALĖVENĖLĘ) – KUPIŠKIS" 1168
"routes.txt" "route_long_name" "KUPIŠKIS – SUBAČIAUS MST. PER LUKONIS" 1172
"routes.txt" "route_long_name" "UKMERGĖ- MIŠNIŪNAI PER LIAUŠIUS" 1186
"routes.txt" "route_long_name" "KUPIŠKIS – ALIZAVA PER PALĖVENĖLĘ – KUPIŠKIS" 1222
"routes.txt" "route_long_name" "KUPIŠKIS – LAIČIAI PER KANDRĖNUS, SKAPIŠKIO MSTL." 1238
"stops.txt" "stop_name" "140 km" 6
"stops.txt" "stop_name" "VDU klasikinio ugdymo licėjus B" 1229
"stops.txt" "stop_name" "4-asis fortas B" 1270
"stops.txt" "stop_name" "VDU klasikinio ugdymo licėjus A" 1305
"stops.txt" "stop_name" "7-asis kilometras A" 1315
"stops.txt" "stop_name" "žieda" 1672
stop_too_far_from_shape WARNING 62

stop_too_far_from_shape

Stop too far from trip shape.

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

You can see more about this notice here.

Only the first 50 of 62 affected records are displayed below.

tripCsvRowNumber (?) The row number of the faulty record from `trips.txt`. shapeId (?) The id of the shape that is referred to. tripId (?) The id of the trip that is referred to. stopTimeCsvRowNumber (?) The row number of the faulty record from `stop_times.txt`. stopId (?) The id of the stop that is referred to. stopName (?) The name of the stop that is referred to. match (?) Latitude and longitude pair of the location. geoDistanceToShape (?) Distance from stop to shape.
12817 "3636" "45756" 3023 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
12397 "3651" "45771" 3052 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
19573 "3653" "45773" 3053 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
12298 "43544" "8124133" 333164 "9340" "Mokykla" [55.512857000000004,26.315831] 134.01174852768767
13215 "43548" "8124139" 333202 "8484" "Mokykla" [55.513561,26.317414] 128.25393944619788
11553 "26974" "7317013" 35993 "14216" "Glaudžiai" [55.90637400000001,21.877556999999996] 1731.1842381583824
11553 "26974" "7317013" 35994 "10163" "Glaudžiai I" [55.90637400000001,21.877556999999996] 935.5388323636666
11553 "26974" "7317013" 36009 "19491" "Plungės autobusų stotis" [55.918779,21.851513000000004] 152.03315218543798
11389 "29329" "7418310" 43511 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
17685 "29328" "7418309" 43488 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
11826 "6003" "52856" 6005 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
13381 "6005" "52858" 6014 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
14103 "6004" "52857" 6010 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
12203 "6007" "52859" 6021 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
18127 "6008" "52860" 6026 "8356" "Plinkšės" [56.146646000000004,22.177096] 708.0755710896237
11527 "16822" "2392139" 20281 "8988" "Miškų urėdija" [56.223549,23.648672] 192.32046673726916
12678 "16821" "2392135" 20233 "8988" "Miškų urėdija" [56.223549,23.648672] 192.32046673726916
10952 "16823" "2392142" 20338 "15916" "Miškų urėdija" [56.223436,23.64902] 114.43864929834778
12963 "18654" "3218451" 22506 "67434" "Geluva" [55.249732,23.511073] 140.46827403515317
12078 "32206" "7476587" 49511 "48065" "Troškūnų g." [55.521214350005486,25.097709664383384] 523.8519190658676
12078 "32206" "7476587" 49512 "48066" "Geležinkelio stotis" [55.526276,25.103853] 785.72734673045
12078 "32206" "7476587" 49513 "48068" "Kalno parduotuvė" [55.526598,25.099623999999995] 574.8082135251354
12078 "32206" "7476587" 49516 "48071" "Pušyno mikrorajonas" [55.521132,25.115296] 658.3695095777266
12078 "32206" "7476587" 49521 "48070" "Žiburio g." [55.525912999999996,25.113931000000004] 146.43308427108235
18170 "3899" "46086" 3161 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
17969 "3014" "43694" 2186 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
10840 "37872" "61_49W" 70784 "91654" "Kūlokai" [54.450829999999996,23.395002] 3378.2526672161835
13251 "29420" "7429613" 44048 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
9657 "49117" "57_1172-20260204" 405616 "70878" "Šveicarija" [55.04546,24.25836] 149.18478145589043
13825 "4529" "46899" 3984 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
13772 "4527" "47691" 5173 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
14437 "4528" "47692" 5174 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
12545 "14622" "7150732" 35016 "14754" "Naiviai" [55.84397975379556,25.145549112350125] 765.6219655883444
14311 "2821" "45017" 2947 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
18785 "29615" "7432118" 44558 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
11446 "29616" "7432119" 44606 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
5407 "21886" "60_A2-02-1-241209-ba-0720" 70088 "5846" "Grūtas" [54.032271447911626,24.074587772943918] 103.01117636409927
1055 "21885" "60_A2-02-1-241209-ab-1210" 70147 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
6692 "21887" "60_A2-01-7-251110-ab3-1100" 334749 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
10713 "21891" "60_A2-02-1-241209-ab2-2020" 65992 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
7250 "21865" "60_A2-01-7-251110-b3a-1150" 336335 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
6695 "21872" "60_A2-01-6-251110-b2a-1520" 334583 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
11803 "3339" "46943" 3985 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
13630 "11705" "747606" 14674 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
13111 "6511" "54507" 8628 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
12771 "6509" "54501" 8574 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
19202 "6513" "54509" 8652 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
12050 "29093" "7413977" 41328 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
14189 "29092" "7413975" 41284 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
10906 "5232" "48167" 5464 "14684" "Lieplaukalė" [55.9354974471734,21.831098374058865] 152.04079667279404
stops_match_shape_out_of_order WARNING 12

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.
11287 "3645" "57657" 10875 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 10874 "12152" "Jonaičiai" [55.34641499999999,21.570023]
18679 "3667" "57730" 11014 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 11013 "13926" "Jonaičiai" [55.346103,21.568929]
11775 "3714" "57735" 11072 "13926" "Jonaičiai" [55.346103,21.568929] 11071 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
19381 "13808" "1228372" 16381 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 16380 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
13273 "28435" "7339430" 38806 "64819" "Suostas" [56.32837413018391,24.713657886432735] 38805 "16112" "Svydžiai" [56.352930797976754,24.686322368913352]
12529 "28434" "7339429" 38782 "10057" "Svydžiai" [56.35334128457164,24.685572701413516] 38781 "64820" "Suostas" [56.32837775901334,24.713656830174433]
12312 "6591" "57635" 10535 "13926" "Jonaičiai" [55.346103,21.568929] 10534 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
13882 "3554" "57639" 10591 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 10590 "12152" "Jonaičiai" [55.34641499999999,21.570023]
18784 "29102" "7413991" 41408 "71231" "Žuvintai" [54.448579423202126,23.62330650767253] 41407 "71255" "Litvanciškai" [54.41436513808293,23.67340583550103]
12718 "40377" "8016002" 93369 "72301" "Kirlikai" [55.32834500402225,21.565359093761266] 93368 "97223" "Tarvydai I" [55.328604,21.56423]
18177 "40378" "8016003" 93378 "71683" "Tarvydai II" [55.31814711876975,21.598011981975805] 93377 "97223" "Tarvydai I" [55.328604,21.56423]
12327 "5353" "57623" 10397 "13926" "Jonaičiai" [55.346103,21.568929] 10396 "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