GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2025-12-16T06:08:02+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: 1331
  • Shapes: 3539
  • Stops: 13520
  • Trips: 22312

Specification Compliance report

116374 notices reported (0 errors, 116341 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`.
175 "18329" 286 "6209" "M1" "Alytus - Geniai" 3 "48"
783 "16052" 932 "6212" "M23" "Alytus - Punia - Butrimonys - Eigirdonys" 3 "48"
438 "3645" 1204 "8681" "144" "Vilnius (Žalgirio stotelė) – Nemenčinė per Pikeliškes" 3 "53"
equal_shape_distance_diff_coordinates_distance_below_threshold WARNING 4148

equal_shape_distance_diff_coordinates_distance_below_threshold

Two consecutive points have equal shape_dist_traveled and different lat/lon coordinates in shapes.txt and the distance between the two points is greater than 0 but less than 1.11m.

When sorted by shape.shape_pt_sequence, the values for shape_dist_traveled must increase along a shape. Two consecutive points with equal values for shape_dist_traveled and small difference of coordinates (greater than 0 but less than 1.11 m distance) result in a warning.

You can see more about this notice here.

Only the first 50 of 4148 affected records are displayed below.

shapeId (?) The id of the faulty shape. csvRowNumber (?) The row number from `shapes.txt`. shapeDistTraveled (?) The faulty record's `shape_dist_traveled` value. shapePtSequence (?) The faulty record's `shapes.shape_pt_sequence`. prevCsvRowNumber (?) The row number from `shapes.txt` of the previous shape point. prevShapeDistTraveled (?) The previous shape point's `shape_dist_traveled` value. prevShapePtSequence (?) The previous record's `shapes.shape_pt_sequence`. actualDistanceBetweenShapePoints (?) Actual distance traveled along the shape from the first shape point to the previous shape point.
"3647" 507689 29882.7 878 507688 29882.7 877 0.12791084993239907
"2328" 416587 35929.8 642 416586 35929.8 641 0.11119510090982554
"3659" 502739 49657.5 1177 502738 49657.5 1176 0.12791084993239907
"2369" 401927 63265.5 1261 401926 63265.5 1260 0.11119510090982554
"2385" 611497 69168.3 1771 611496 69168.3 1770 0.06441976500794575
"28733" 2280896 71509.2 1569 2280895 71509.2 1568 0.06441976500794575
"1919" 777013 136875.8 2842 777012 136875.8 2841 0.12752942403551987
"1919" 777016 136876.0 2845 777015 136876.0 2844 0.11119510090982554
"1919" 777023 136876.5 2852 777022 136876.5 2851 0.11119510232447394
"1919" 777026 136876.7 2855 777025 136876.7 2854 0.11119510161714974
"1919" 777029 136876.9 2858 777028 136876.9 2857 0.12752941555597483
"1919" 777038 136877.5 2867 777037 136877.5 2866 0.11119510090982554
"1919" 777041 136877.7 2870 777040 136877.7 2869 0.11119510161714974
"1919" 777044 136877.9 2873 777043 136877.9 2872 0.11119510090982554
"1919" 777051 136878.4 2880 777050 136878.4 2879 0.11119510090982554
"1919" 777054 136878.6 2883 777053 136878.6 2882 0.11119510161714974
"1919" 777063 136879.2 2892 777062 136879.2 2891 0.11119510090982554
"1919" 777066 136879.4 2895 777065 136879.4 2894 0.12752939825777979
"1919" 777069 136879.6 2898 777068 136879.6 2897 0.11119510161714974
"1919" 777078 136880.2 2907 777077 136880.2 2906 0.11119510161714974
"1919" 777082 136880.5 2911 777081 136880.5 2910 0.06244513630731429
"1919" 777088 136880.9 2917 777087 136880.9 2916 0.11119510161714974
"1919" 777091 136881.1 2920 777090 136881.1 2919 0.11119510090982554
"1919" 777094 136881.3 2923 777093 136881.3 2922 0.11119510090982554
"1919" 777103 136881.9 2932 777102 136881.9 2931 0.12752938095958766
"1919" 777106 136882.1 2935 777105 136882.1 2934 0.11119510161714974
"1919" 777117 136882.8 2946 777116 136882.8 2945 0.11119510161714974
"1919" 777122 136883.1 2951 777121 136883.1 2950 0.11119510161714974
"1919" 777130 136883.6 2959 777129 136883.6 2958 0.11119510090982554
"1919" 777135 136883.9 2964 777134 136883.9 2963 0.11119510090982554
"1919" 777148 136884.7 2977 777147 136884.7 2976 0.11119510161714974
"1919" 777150 136884.8 2979 777149 136884.8 2978 0.11119510090982554
"1919" 777153 136885.0 2982 777152 136885.0 2981 0.11119510161714974
"1919" 777161 136885.5 2990 777160 136885.5 2989 0.1275293557985862
"1919" 777163 136885.6 2992 777162 136885.6 2991 0.11119510161714974
"1919" 777166 136885.8 2995 777165 136885.8 2994 0.11119510090982554
"1919" 777168 136885.9 2997 777167 136885.9 2996 0.11119510232447394
"1919" 777174 136886.3 3003 777173 136886.3 3002 0.06244505260741443
"1919" 777179 136886.6 3008 777178 136886.6 3007 0.11119510161714974
"1919" 777181 136886.7 3010 777180 136886.7 3009 0.11119510090982554
"1919" 777184 136886.9 3013 777183 136886.9 3012 0.11119510090982554
"1919" 777186 136887.0 3015 777185 136887.0 3014 0.11119510090982554
"1919" 777192 136887.4 3021 777191 136887.4 3020 0.11119510090982554
"1919" 777194 136887.5 3023 777193 136887.5 3022 0.11119510161714974
"1919" 777197 136887.7 3026 777196 136887.7 3025 0.11119510090982554
"1919" 777199 136887.8 3028 777198 136887.8 3027 0.11119510161714974
"1919" 777210 136888.5 3039 777209 136888.5 3038 0.11119510161714974
"1919" 777212 136888.6 3041 777211 136888.6 3040 0.11119510090982554
"1919" 777215 136888.8 3044 777214 136888.8 3043 0.11119510090982554
"1919" 777224 136889.4 3053 777223 136889.4 3052 0.11119510161714974
equal_shape_distance_same_coordinates WARNING 10958

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 10958 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" 2965489 350.5 28 2965488 350.5 27
"43541" 2965500 811.7 39 2965499 811.7 38
"43541" 2965539 1779.8 78 2965538 1779.8 77
"43541" 2965583 3184.3 122 2965582 3184.3 121
"43541" 2965616 4418.1 155 2965615 4418.1 154
"43541" 2965632 4854.6 171 2965631 4854.6 170
"43541" 2965681 6561.9 220 2965680 6561.9 219
"43541" 2965717 7544.1 256 2965716 7544.1 255
"43541" 2965756 8757.6 295 2965755 8757.6 294
"43541" 2965773 9358.6 312 2965772 9358.6 311
"43541" 2965800 9709.1 339 2965799 9709.1 338
"43541" 2965846 10376.7 385 2965845 10376.7 384
"43541" 2965899 11116.1 438 2965898 11116.1 437
"43541" 2965930 11700.4 469 2965929 11700.4 468
"43541" 2965961 12284.8 500 2965960 12284.8 499
"43541" 2966222 14358.7 761 2966221 14358.7 760
"43541" 2966298 14706.8 837 2966297 14706.8 836
"43541" 2966398 15301.6 937 2966397 15301.6 936
"43541" 2966498 15896.4 1037 2966497 15896.4 1036
"43541" 2966574 16244.5 1113 2966573 16244.5 1112
"43541" 2966772 17133.2 1311 2966771 17133.2 1310
"43541" 2967015 18161.9 1554 2967014 18161.9 1553
"43541" 2967040 18472.3 1579 2967039 18472.3 1578
"43541" 2967090 18976.3 1629 2967089 18976.3 1628
"43541" 2967237 19673.4 1776 2967236 19673.4 1775
"43541" 2967466 21285.9 2005 2967465 21285.9 2004
"43541" 2967542 22756.6 2081 2967541 22756.6 2080
"43541" 2967618 24227.3 2157 2967617 24227.3 2156
"43541" 2967657 24719.6 2196 2967656 24719.6 2195
"43541" 2967674 25292.2 2213 2967673 25292.2 2212
"43541" 2967693 25625.9 2232 2967692 25625.9 2231
"43541" 2967781 26736.7 2320 2967780 26736.7 2319
"43541" 2967868 27236.5 2407 2967867 27236.5 2406
"43541" 2967917 28436.1 2456 2967916 28436.1 2455
"43541" 2967956 28928.5 2495 2967955 28928.5 2494
"43541" 2968007 29639.4 2546 2968006 29639.4 2545
"43541" 2968238 30811.2 2777 2968237 30811.2 2776
"43541" 2968314 31159.3 2853 2968313 31159.3 2852
"43541" 2968414 31754.1 2953 2968413 31754.1 2952
"43541" 2968514 32348.9 3053 2968513 32348.9 3052
"43541" 2968590 32697.0 3129 2968589 32697.0 3128
"43541" 2968788 33585.6 3327 2968787 33585.6 3326
"43541" 2969072 35228.5 3611 2969071 35228.5 3610
"43541" 2969125 35967.9 3664 2969124 35967.9 3663
"43541" 2969156 36552.2 3695 2969155 36552.2 3694
"43541" 2969187 37136.6 3726 2969186 37136.6 3725
"43537" 3127583 310.3 26 3127582 310.3 25
"43537" 3127596 811.7 39 3127595 811.7 38
"43537" 3127635 1779.8 78 3127634 1779.8 77
"43537" 3127679 3184.3 122 3127678 3184.3 121
expired_calendar WARNING 66

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 66 affected records are displayed below.

csvRowNumber (?) The row of the faulty record. serviceId (?) The service id of the faulty record.
10677 "17222"
9209 "31530"
6 "1076"
1576 "73341"
7649 "17343"
3015 "2499"
23 "43774"
1519 "1256"
1515 "1271"
6121 "1294"
10678 "24602"
2 "1339"
3012 "2685"
10675 "12709"
4583 "1379"
6145 "2737"
7641 "2766"
1534 "60347"
8 "1461"
7653 "47502"
10666 "678"
9204 "2814"
6149 "2849"
6150 "2852"
7643 "2850"
4599 "2980"
7642 "2975"
3013 "2974"
9203 "2972"
6120 "973"
71 "76307"
1575 "76308"
72 "76309"
9359 "71428"
7666 "60928"
7663 "60959"
6159 "47985"
10671 "1954"
3034 "60890"
10673 "3000"
3014 "3012"
9211 "20239"
10679 "20237"
10680 "13033"
1525 "13105"
11 "2009"
13 "2022"
7658 "48071"
25 "48073"
6137 "2066"
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.
6960 "8093432" "17272" 196.9887428340989 3.283145713901648 240264 17 "99227" "Krekenava" "14:03:00" 240265 18 "99243" "Rabikiai" "14:03:00"
7968 "8091136" "17220" 196.9887428340989 3.283145713901648 221499 17 "98468" "Krekenava" "14:03:00" 221500 18 "98476" "Rabikiai" "14:03:00"
missing_bike_allowance WARNING 118

missing_bike_allowance

Ferry trips should include bike allowance information.

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

You can see more about this notice here.

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

csvRowNumber (?) The row number of the faulty record. routeId (?) The faulty record's route id. tripId (?) The faulty record's trip id.
4229 "2699" "7597182"
4230 "2699" "7597183"
4231 "2699" "7597184"
4232 "2699" "7597185"
4244 "2699" "7597186"
4245 "2699" "7597187"
4246 "2699" "7597188"
4249 "2699" "7597189"
4260 "2699" "7597174"
4261 "2699" "7597180"
4264 "2699" "7597181"
4265 "2699" "7597175"
4266 "2699" "7597176"
4267 "2699" "7597177"
4268 "2699" "7597178"
4297 "2699" "7597169"
4569 "2699" "7597021"
15772 "2699" "7597170"
15773 "2699" "7597171"
15774 "2699" "7597172"
15775 "2699" "7597173"
15933 "2699" "7597128"
15934 "2699" "7597129"
15935 "2699" "7597130"
15936 "2699" "7597131"
15937 "2699" "7597132"
15957 "2699" "7597125"
15959 "2699" "7597126"
15960 "2699" "7597127"
16029 "2699" "7597133"
16030 "2699" "7597134"
16031 "2699" "7597135"
16032 "2699" "7597136"
16033 "2699" "7597137"
16034 "2699" "7597138"
16035 "2699" "7597139"
16064 "2699" "7597190"
16065 "2699" "7597191"
16066 "2699" "7597192"
16067 "2699" "7597193"
16068 "2699" "7597194"
16069 "2699" "7597195"
16071 "2699" "7597196"
16072 "2699" "7597197"
16073 "2699" "7597198"
16103 "2699" "7597140"
16104 "2699" "7597141"
16105 "2699" "7597142"
16106 "2699" "7597143"
16107 "2699" "7597144"
missing_recommended_file WARNING 1

missing_recommended_file

A recommended file is missing.

You can see more about this notice here.

filename (?) The name of the faulty file.
"feed_info.txt"
missing_timepoint_value WARNING 100000

missing_timepoint_value

stop_times.timepoint value is missing for a record.

Even though the column timepoint is optional in stop_times.txt according to the specification, stop_times.timepoint should not be empty when provided.

You can see more about this notice here.

Only the first 50 of 100000 affected records are displayed below.

csvRowNumber (?) The row number of the faulty record. tripId (?) The faulty record's `stop_times.trip_id`. stopSequence (?) The faulty record's `stop_times.stop_sequence`.
2 "41979" 1
3 "41979" 2
4 "41979" 3
5 "41979" 4
6 "41980" 1
7 "41980" 2
8 "41980" 3
9 "41980" 4
10 "41981" 1
11 "41981" 2
12 "41981" 3
13 "41981" 4
14 "41982" 1
15 "41982" 2
16 "41982" 3
17 "41982" 4
18 "42101" 1
19 "42101" 2
20 "42101" 4
21 "42101" 5
22 "42101" 6
23 "42103" 1
24 "42103" 2
25 "42103" 4
26 "42103" 5
27 "42103" 6
28 "42105" 1
29 "42105" 2
30 "42105" 4
31 "42105" 5
32 "42203" 1
33 "42203" 2
34 "42203" 3
35 "42203" 4
36 "42203" 5
37 "42203" 6
38 "42203" 7
39 "42203" 8
40 "42203" 9
41 "42203" 10
42 "42203" 11
43 "42203" 12
44 "42203" 13
45 "42203" 14
46 "42203" 15
47 "42203" 16
48 "42203" 17
49 "42203" 18
50 "42203" 19
51 "42206" 1
mixed_case_recommended_field WARNING 972

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 972 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" 199
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS, KANDRĖNUS, LAIČIUS" 201
"routes.txt" "route_long_name" "JONAVA-JUŠKONYS" 203
"routes.txt" "route_long_name" "JONAVA-GAIŽIŪNŲ STOTIS" 204
"routes.txt" "route_short_name" "1A_VLP" 258
"routes.txt" "route_short_name" "523_VLP" 260
"routes.txt" "route_short_name" "518_VLP" 270
"routes.txt" "route_long_name" "JONAVA-BUKONYS" 358
"routes.txt" "route_long_name" "JONAVA-KAUNAS" 359
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-GLOBOS NAMAI-RIMKAI" 360
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 376
"routes.txt" "route_long_name" "JONAVA-KULVA PER JUODMENĄ" 379
"routes.txt" "route_short_name" "2_VLP" 428
"routes.txt" "route_long_name" "JONAVA-PREIŠIOGALĖLĖ-ŽINĖNAI-JONAVA" 458
"routes.txt" "route_long_name" "JONAVA-ŠĖTA" 543
"routes.txt" "route_long_name" "JONAVA-KULVA" 546
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 561
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER KANDRĖNUS, LAIČIUS" 612
"routes.txt" "route_long_name" "JONAVA - PAGELEŽIAI" 693
"routes.txt" "route_long_name" "JONAVA-RUKLA" 694
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 715
"routes.txt" "route_long_name" "ŠIRVINTOS - UKMERGĖ - ŠIRVINTOS" 848
"routes.txt" "route_long_name" "KUPIŠKIS - ANTAŠAVA" 883
"routes.txt" "route_short_name" "2A_VLP" 896
"routes.txt" "route_long_name" "JONAVA-KUIGALIAI PER NAUJASODĮ" 938
"routes.txt" "route_long_name" "JONAVA-KĖDAINIAI" 1017
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 1018
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI" 1021
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI-BUKONYS-ŠILAI-JONAVA" 1023
"routes.txt" "route_long_name" "KUPIŠKIS – ŠIMONYS PER MIGONIS" 1027
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS" 1052
"routes.txt" "route_short_name" "1_VLP" 1059
"routes.txt" "route_short_name" "50AB" 1104
"routes.txt" "route_long_name" "KUPIŠKIS – PANEVĖŽYS" 1118
"routes.txt" "route_long_name" "UKMERGĖ- MIŠNIŪNAI PER LIAUŠIUS" 1152
"routes.txt" "route_long_name" "JONAVA-UPININKAI" 1161
"routes.txt" "route_long_name" "KUPIŠKIS – LAIČIAI PER KANDRĖNUS, SKAPIŠKIO MSTL." 1165
"routes.txt" "route_long_name" "ŽELVA - KIAUKLIAI" 1179
"routes.txt" "route_long_name" "KUPIŠKIS – VAINIŪNIŠKIS (PER PALĖVENĖLĘ) – KUPIŠKIS" 1180
"routes.txt" "route_long_name" "KUPIŠKIS – ALIZAVA PER PALĖVENĖLĘ – KUPIŠKIS" 1186
"routes.txt" "route_long_name" "JONAVA-ŽEIMIAI" 1190
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-JUODMENA-RIMKAI" 1196
"routes.txt" "route_long_name" "JONAVA-ŽINĖNAI-PREIŠIOGALĖLĖ-JONAVA" 1201
"routes.txt" "route_short_name" "4_VLP" 1239
"routes.txt" "route_short_name" "787_VLP" 1240
"routes.txt" "route_short_name" "3_VLP" 1242
"routes.txt" "route_short_name" "5_VLP" 1245
"routes.txt" "route_long_name" "KUPIŠKIS – SUBAČIAUS MST. PER LUKONIS" 1308
"stops.txt" "stop_name" "2-asis fortas" 100
stop_too_far_from_shape WARNING 60

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 60 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.
19474 "3636" "45756" 3497 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
19475 "3651" "45771" 3526 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
19147 "3653" "45773" 3527 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
11354 "43544" "8124133" 392485 "9340" "Mokykla" [55.512857000000004,26.315831] 134.01174852768767
11359 "43548" "8124139" 392523 "8484" "Mokykla" [55.513561,26.317414] 128.25393944619788
4055 "26974" "7317012" 36897 "14216" "Glaudžiai" [55.90637400000001,21.877556999999996] 1731.1842381583824
4055 "26974" "7317012" 36898 "10163" "Glaudžiai I" [55.90637400000001,21.877556999999996] 935.5388323636666
4055 "26974" "7317012" 36913 "19491" "Plungės autobusų stotis" [55.918779,21.851513000000004] 152.03315218543798
7596 "29329" "7418310" 44297 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
8336 "29328" "7418309" 44274 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
1390 "37814" "7870743" 74167 "91339" "Sūduva" [54.57502093577935,23.37188570151982] 108.83359346294479
19266 "6003" "52856" 6188 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
19235 "6005" "52858" 6197 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
19248 "6004" "52857" 6193 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
19012 "6007" "52859" 6204 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
19253 "6008" "52860" 6209 "8356" "Plinkšės" [56.146646000000004,22.177096] 708.0755710896237
10276 "18654" "3218451" 22338 "67434" "Geluva" [55.249732,23.511073] 140.46827403515317
18166 "32206" "7476583" 50192 "48065" "Troškūnų g." [55.521214350005486,25.097709664383384] 523.8519190658676
18166 "32206" "7476583" 50193 "48066" "Geležinkelio stotis" [55.526276,25.103853] 785.72734673045
18166 "32206" "7476583" 50194 "48068" "Kalno parduotuvė" [55.526598,25.099623999999995] 574.8082135251354
18166 "32206" "7476583" 50197 "48071" "Pušyno mikrorajonas" [55.521132,25.115296] 658.3695095777266
18166 "32206" "7476583" 50202 "48070" "Žiburio g." [55.525912999999996,25.113931000000004] 146.43308427108235
19191 "3899" "46086" 3635 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
19443 "3014" "43694" 2660 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
758 "37872" "7870674" 72771 "91654" "Kūlokai" [54.450829999999996,23.395002] 3378.2526672161835
5983 "29420" "7429613" 44834 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
19462 "4529" "46899" 4305 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
19471 "4527" "47691" 5336 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
19435 "4528" "47692" 5337 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
8771 "14622" "7150732" 35937 "14754" "Naiviai" [55.84397975379556,25.145549112350125] 765.6219655883444
19453 "2821" "45017" 3421 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
9253 "29615" "7432118" 45322 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
7927 "29616" "7432119" 45370 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
1524 "21886" "7847213" 70680 "5846" "Grūtas" [54.032271447911626,24.074587772943918] 103.01117636409927
1369 "21885" "7846736" 66129 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
15196 "21887" "8128791" 393747 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
1546 "21891" "7846924" 67905 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
14516 "21865" "8128916" 395656 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
1448 "21872" "7846768" 66480 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
19737 "3339" "46943" 4306 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
1461 "45952" "8148013" 423758 "70878" "Šveicarija" [55.04546,24.25836] 149.18478145589043
18359 "11705" "747606" 14714 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
19276 "6511" "54507" 8774 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
18984 "6509" "54501" 8720 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
19278 "6513" "54509" 8798 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
9802 "29093" "7413976" 42100 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
9801 "29092" "7413975" 42070 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
19739 "5232" "48166" 5592 "14684" "Lieplaukalė" [55.9354974471734,21.831098374058865] 152.04079667279404
2517 "27242" "7322653" 38248 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
2514 "27240" "7322650" 38202 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
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.
19854 "3645" "57657" 10915 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 10914 "12152" "Jonaičiai" [55.34641499999999,21.570023]
19827 "3667" "57730" 11054 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 11053 "13926" "Jonaičiai" [55.346103,21.568929]
19289 "3714" "57735" 11112 "13926" "Jonaičiai" [55.346103,21.568929] 11111 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
662 "13808" "1228372" 16445 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 16444 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
22052 "17480" "2657524" 21021 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 21020 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
9900 "28435" "7339430" 39620 "64819" "Suostas" [56.32837413018391,24.713657886432735] 39619 "16112" "Svydžiai" [56.352930797976754,24.686322368913352]
9898 "28434" "7339429" 39596 "10057" "Svydžiai" [56.35334128457164,24.685572701413516] 39595 "64820" "Suostas" [56.32837775901334,24.713656830174433]
19824 "6591" "57635" 10575 "13926" "Jonaičiai" [55.346103,21.568929] 10574 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
19283 "3554" "57640" 10653 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 10652 "12152" "Jonaičiai" [55.34641499999999,21.570023]
4728 "29102" "7413991" 42194 "71231" "Žuvintai" [54.448579423202126,23.62330650767253] 42193 "71255" "Litvanciškai" [54.41436513808293,23.67340583550103]
4259 "40377" "8016002" 105908 "72301" "Kirlikai" [55.32834500402225,21.565359093761266] 105907 "97223" "Tarvydai I" [55.328604,21.56423]
14567 "40378" "8016003" 105917 "71683" "Tarvydai II" [55.31814711876975,21.598011981975805] 105916 "97223" "Tarvydai I" [55.328604,21.56423]
20139 "5353" "57618" 10403 "13926" "Jonaičiai" [55.346103,21.568929] 10402 "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