GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2025-05-02T06:07:20+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. calendar.txt
  3. calendar_dates.txt
  4. fare_attributes.txt
  5. fare_rules.txt
  6. routes.txt
  7. shapes.txt
  8. stop_times.txt
  9. stops.txt
  10. trips.txt

Counts

  • Agencies: 31
  • Blocks: 0
  • Routes: 1082
  • Shapes: 2797
  • Stops: 9897
  • Trips: 19953

Specification Compliance report

109400 notices reported (0 errors, 109368 warnings, 32 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`.
20 "16021" 203 "6209" "M1" "Alytus - Geniai" 3 "48"
578 "16052" 739 "6212" "M23" "Alytus - Punia - Butrimonys - Eigirdonys" 3 "48"
340 "3645" 1027 "8681" "144" "Vilnius (Žalgirio stotelė) – Nemenčinė per Pikeliškes" 3 "53"
equal_shape_distance_diff_coordinates_distance_below_threshold WARNING 4141

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 4141 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.
"2328" 350897 35929.8 642 350896 35929.8 641 0.11119510090982554
"32404" 2301499 13453.5 454 2301498 13453.5 453 0.06256821099246385
"2369" 334516 63265.5 1261 334515 63265.5 1260 0.11119510090982554
"2385" 553490 69168.3 1771 553489 69168.3 1770 0.06441976500794575
"4571" 932325 11713.3 325 932324 11713.3 324 0.06234682915415588
"4571" 932326 11713.3 326 932325 11713.3 325 0.06234682915415588
"36843" 2579953 81036.6 2372 2579952 81036.6 2371 0.06230995253378047
"28733" 2108053 71509.2 1569 2108052 71509.2 1568 0.06441976500794575
"1919" 733985 136875.8 2842 733984 136875.8 2841 0.12752942403551987
"1919" 733988 136876.0 2845 733987 136876.0 2844 0.11119510090982554
"1919" 733995 136876.5 2852 733994 136876.5 2851 0.11119510232447394
"1919" 733998 136876.7 2855 733997 136876.7 2854 0.11119510161714974
"1919" 734001 136876.9 2858 734000 136876.9 2857 0.12752941555597483
"1919" 734010 136877.5 2867 734009 136877.5 2866 0.11119510090982554
"1919" 734013 136877.7 2870 734012 136877.7 2869 0.11119510161714974
"1919" 734016 136877.9 2873 734015 136877.9 2872 0.11119510090982554
"1919" 734023 136878.4 2880 734022 136878.4 2879 0.11119510090982554
"1919" 734026 136878.6 2883 734025 136878.6 2882 0.11119510161714974
"1919" 734035 136879.2 2892 734034 136879.2 2891 0.11119510090982554
"1919" 734038 136879.4 2895 734037 136879.4 2894 0.12752939825777979
"1919" 734041 136879.6 2898 734040 136879.6 2897 0.11119510161714974
"1919" 734050 136880.2 2907 734049 136880.2 2906 0.11119510161714974
"1919" 734054 136880.5 2911 734053 136880.5 2910 0.06244513630731429
"1919" 734060 136880.9 2917 734059 136880.9 2916 0.11119510161714974
"1919" 734063 136881.1 2920 734062 136881.1 2919 0.11119510090982554
"1919" 734066 136881.3 2923 734065 136881.3 2922 0.11119510090982554
"1919" 734075 136881.9 2932 734074 136881.9 2931 0.12752938095958766
"1919" 734078 136882.1 2935 734077 136882.1 2934 0.11119510161714974
"1919" 734089 136882.8 2946 734088 136882.8 2945 0.11119510161714974
"1919" 734094 136883.1 2951 734093 136883.1 2950 0.11119510161714974
"1919" 734102 136883.6 2959 734101 136883.6 2958 0.11119510090982554
"1919" 734107 136883.9 2964 734106 136883.9 2963 0.11119510090982554
"1919" 734120 136884.7 2977 734119 136884.7 2976 0.11119510161714974
"1919" 734122 136884.8 2979 734121 136884.8 2978 0.11119510090982554
"1919" 734125 136885.0 2982 734124 136885.0 2981 0.11119510161714974
"1919" 734133 136885.5 2990 734132 136885.5 2989 0.1275293557985862
"1919" 734135 136885.6 2992 734134 136885.6 2991 0.11119510161714974
"1919" 734138 136885.8 2995 734137 136885.8 2994 0.11119510090982554
"1919" 734140 136885.9 2997 734139 136885.9 2996 0.11119510232447394
"1919" 734146 136886.3 3003 734145 136886.3 3002 0.06244505260741443
"1919" 734151 136886.6 3008 734150 136886.6 3007 0.11119510161714974
"1919" 734153 136886.7 3010 734152 136886.7 3009 0.11119510090982554
"1919" 734156 136886.9 3013 734155 136886.9 3012 0.11119510090982554
"1919" 734158 136887.0 3015 734157 136887.0 3014 0.11119510090982554
"1919" 734164 136887.4 3021 734163 136887.4 3020 0.11119510090982554
"1919" 734166 136887.5 3023 734165 136887.5 3022 0.11119510161714974
"1919" 734169 136887.7 3026 734168 136887.7 3025 0.11119510090982554
"1919" 734171 136887.8 3028 734170 136887.8 3027 0.11119510161714974
"1919" 734182 136888.5 3039 734181 136888.5 3038 0.11119510161714974
"1919" 734184 136888.6 3041 734183 136888.6 3040 0.11119510090982554
equal_shape_distance_same_coordinates WARNING 4901

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 4901 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`.
"2795" 685755 137085.3 3378 685754 137085.3 3377
"4525" 870465 34291.0 619 870464 34291.0 618
"29239" 2331952 160069.3 3319 2331951 160069.3 3318
"3208" 640073 1350.8 11 640072 1350.8 10
"3208" 640095 2748.7 33 640094 2748.7 32
"3208" 640119 7075.0 57 640118 7075.0 56
"3208" 640133 8332.4 71 640132 8332.4 70
"3208" 640144 10190.8 82 640143 10190.8 81
"3208" 640155 12049.1 93 640154 12049.1 92
"3208" 640166 13907.5 104 640165 13907.5 103
"3208" 640177 15765.9 115 640176 15765.9 114
"3208" 640191 17871.7 129 640190 17871.7 128
"3208" 640205 19977.6 143 640204 19977.6 142
"3208" 640219 22083.4 157 640218 22083.4 156
"3208" 640233 24189.3 171 640232 24189.3 170
"3208" 640247 25446.7 185 640246 25446.7 184
"3208" 640271 29773.0 209 640270 29773.0 208
"3208" 640293 31170.9 231 640292 31170.9 230
"3209" 641400 2759.6 33 641399 2759.6 32
"3209" 641424 7085.9 57 641423 7085.9 56
"3209" 641438 8343.3 71 641437 8343.3 70
"3209" 641465 12555.0 98 641464 12555.0 97
"3209" 641486 16271.8 119 641485 16271.8 118
"3209" 641500 17529.2 133 641499 17529.2 132
"3209" 641524 21855.5 157 641523 21855.5 156
"3699" 514540 17853.2 141 514539 17853.2 140
"3699" 514565 19846.6 166 514564 19846.6 165
"3699" 514576 21672.8 177 514575 21672.8 176
"3699" 514583 22751.5 184 514582 22751.5 183
"3699" 514587 24107.8 188 514586 24107.8 187
"3699" 514592 25643.1 193 514591 25643.1 192
"3699" 514619 29354.5 220 514618 29354.5 219
"3699" 514624 30889.8 225 514623 30889.8 224
"3699" 514628 32246.1 229 514627 32246.1 228
"3699" 514635 33324.8 236 514634 33324.8 235
"3699" 514646 35151.0 247 514645 35151.0 246
"3699" 514671 37144.4 272 514670 37144.4 271
"36888" 2894882 13272.7 435 2894881 13272.7 434
"36875" 74557 13272.7 436 74556 13272.7 435
"4124" 849106 212232.8 3475 849105 212232.8 3474
"22672" 1826148 14396.1 344 1826147 14396.1 343
"22672" 1826163 14578.4 359 1826162 14578.4 358
"22674" 1914744 16490.1 440 1914743 16490.1 439
"22674" 1914759 16672.4 455 1914758 16672.4 454
"22675" 1915926 19188.3 597 1915925 19188.3 596
"22675" 1915941 19354.6 612 1915940 19354.6 611
"4127" 466055 212633.5 3491 466054 212633.5 3490
"36842" 1808510 154877.4 3880 1808509 154877.4 3879
"36842" 1808515 154956.4 3885 1808514 154956.4 3884
"36843" 2580709 111350.8 3128 2580708 111350.8 3127
expired_calendar WARNING 12

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.

csvRowNumber (?) The row of the faulty record. serviceId (?) The service id of the faulty record.
995 "47985"
1736 "678"
1243 "48071"
22 "48073"
1242 "48062"
756 "48492"
14 "43774"
244 "1256"
1738 "860"
1757 "24602"
1503 "48594"
978 "973"
missing_bike_allowance WARNING 120

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 120 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.
175 "2699" "7597125"
182 "2699" "7597126"
183 "2699" "7597127"
2778 "2699" "7597169"
3159 "2699" "7597147"
3194 "2699" "7597148"
3195 "2699" "7597149"
3247 "2699" "7597150"
3248 "2699" "7597151"
3250 "2699" "7597152"
3252 "2699" "7597153"
3254 "2699" "7597154"
3261 "2699" "7597155"
3262 "2699" "7597156"
3263 "2699" "7597157"
3264 "2699" "7597158"
3265 "2699" "7597159"
3266 "2699" "7597160"
3267 "2699" "7597161"
3284 "2699" "7597162"
3285 "2699" "7597163"
3303 "2699" "7597164"
3304 "2699" "7597165"
3308 "2699" "7597166"
3309 "2699" "7597167"
3330 "2699" "7597133"
3331 "2699" "7597134"
3332 "2699" "7597135"
3333 "2699" "7597136"
3334 "2699" "7597137"
3335 "2699" "7597138"
3336 "2699" "7597139"
3381 "2699" "7597140"
3382 "2699" "7597141"
3383 "2699" "7597142"
3384 "2699" "7597143"
3385 "2699" "7597144"
3390 "2699" "7597145"
3391 "2699" "7597146"
17211 "2699" "7597170"
17213 "2699" "7597171"
17214 "2699" "7597172"
17216 "2699" "7597173"
17320 "2699" "7597174"
17321 "2699" "7597180"
17322 "2699" "7597181"
17323 "2699" "7597175"
17324 "2699" "7597176"
17325 "2699" "7597177"
17326 "2699" "7597178"
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 141

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 141 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\"" 31
"routes.txt" "route_long_name" "ŠVENČIONYS-ŠUTONYS-ŠVENČIONYS" 49
"routes.txt" "route_long_name" "JONAVA-ŠĖTA" 79
"routes.txt" "route_long_name" "JONAVA-RUKLA" 131
"routes.txt" "route_long_name" "ŠVENČIONYS-PABRADĖ-VILNIUS-PABRADĖ-ŠVENČIONYS" 150
"routes.txt" "route_long_name" "RIMKAI-MAXIMA-ŠVEICARIJA" 186
"routes.txt" "route_long_name" "JONAVA-PREIŠIOGALĖLĖ-ŽINĖNAI-JONAVA" 196
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 220
"routes.txt" "route_long_name" "JONAVA-BUKONYS" 306
"routes.txt" "route_long_name" "JONAVA-UPININKAI" 308
"routes.txt" "route_long_name" "JONAVA-ŽINĖNAI-PREIŠIOGALĖLĖ-JONAVA" 337
"routes.txt" "route_long_name" "JONAVA-KAUNAS" 419
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 449
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI" 488
"routes.txt" "route_long_name" "JONAVA-ŽEIMIAI" 568
"routes.txt" "route_long_name" "JONAVA-JUŠKONYS" 594
"routes.txt" "route_long_name" "JONAVA-KĖDAINIAI" 595
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 596
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-JUODMENA-RIMKAI" 748
"routes.txt" "route_long_name" "JONAVA - PAGELEŽIAI" 756
"routes.txt" "route_long_name" "ŠVENČIONYS-ADUTIŠKIS-JAKELIAI-ADUTIŠKIS-ŠVENČIONYS" 812
"routes.txt" "route_long_name" "JONAVA-GAIŽIŪNŲ STOTIS" 884
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI-BUKONYS-ŠILAI-JONAVA" 889
"routes.txt" "route_long_name" "JONAVA-KULVA" 892
"routes.txt" "route_long_name" "PASVALYS-ŽILPAMŪŠIS PER TETIRVINUS" 917
"routes.txt" "route_long_name" "PASVALYS-GULBINĖNAI PER KRINČINĄ" 961
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-GLOBOS NAMAI-RIMKAI" 992
"routes.txt" "route_long_name" "JONAVA-KULVA PER JUODMENĄ" 1015
"routes.txt" "route_long_name" "JONAVA-KUIGALIAI PER NAUJASODĮ" 1021
"stops.txt" "stop_name" "HARJU ELEKTER" 128
"stops.txt" "stop_name" "KTU inžinerijos licėjus" 384
"stops.txt" "stop_name" "1-ojo forto g." 395
"stops.txt" "stop_name" "9-asis fortas" 410
"stops.txt" "stop_name" "13-sis kilometras" 456
"stops.txt" "stop_name" "IKI prekybos centras" 521
"stops.txt" "stop_name" "IKI parduotuvė" 626
"stops.txt" "stop_name" "11-as kilometras" 655
"stops.txt" "stop_name" "III km." 721
"stops.txt" "stop_name" "16-sis kilometras" 751
"stops.txt" "stop_name" "25 -as km" 877
"stops.txt" "stop_name" "5-oji gimnazija" 1363
"stops.txt" "stop_name" "1-ojo forto g." 1626
"stops.txt" "stop_name" "PALIŪNIŠKIS II" 1735
"stops.txt" "stop_name" "RUKAINIŲ GIRIN." 1873
"stops.txt" "stop_name" "23 km" 1930
"stops.txt" "stop_name" "sodai" 2147
"stops.txt" "stop_name" "sodai" 2160
"stops.txt" "stop_name" "6-asis fortas" 2632
"stops.txt" "stop_name" "9-asis fortas" 2797
"stops.txt" "stop_name" "32 kilometras" 3004
stop_too_far_from_shape WARNING 44

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.
13145 "3636" "45756" 4092 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
13146 "3651" "45771" 4121 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
12731 "3653" "45773" 4122 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
13128 "4529" "46899" 5316 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
13140 "4527" "47691" 6347 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
13086 "4528" "47692" 6348 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
1022 "18184" "2933103" 22218 "24190" "Maldeniai" [56.08905,23.080025999999993] 114.55535215311666
12465 "18185" "2933105" 22219 "24190" "Maldeniai" [56.08905,23.080025999999993] 114.55535215311666
13114 "2821" "45017" 3764 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
6065 "29615" "7432118" 41693 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
10957 "29616" "7432119" 41741 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
5454 "21886" "7847299" 106579 "5846" "Grūtas" [54.032271447911626,24.074587772943918] 103.01117636409927
5127 "21885" "7846946" 101858 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
6070 "21887" "7847087" 103810 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
6097 "21891" "7847352" 107292 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
6093 "21865" "7847347" 107205 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
5074 "21872" "7847048" 103219 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
15973 "10745" "432217" 12460 "8484" "Mokykla" [55.513561,26.317414] 128.25393944619788
11802 "29329" "7418310" 40475 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
5904 "29328" "7418309" 40452 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
13455 "3339" "46943" 5317 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
11694 "9923" "432216" 12459 "9340" "Mokykla" [55.512857000000004,26.315831] 134.01174852768767
12710 "2906" "43487" 2688 "8484" "Mokykla" [55.513561,26.317414] 128.25393944619788
4858 "18654" "3218451" 22802 "67434" "Geluva" [55.249732,23.511073] 140.46827403515317
4828 "32206" "7476583" 44824 "48065" "Troškūnų g." [55.521214350005486,25.097709664383384] 523.8519190658676
4828 "32206" "7476583" 44825 "48066" "Geležinkelio stotis" [55.526276,25.103853] 785.72734673045
4828 "32206" "7476583" 44826 "48068" "Kalno parduotuvė" [55.526598,25.099623999999995] 574.8082135251354
4828 "32206" "7476583" 44829 "48071" "Pušyno mikrorajonas" [55.521132,25.115296] 658.3695095777266
4828 "32206" "7476583" 44834 "48070" "Žiburio g." [55.525912999999996,25.113931000000004] 146.43308427108235
13023 "3899" "46086" 4446 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
1334 "11705" "747606" 12618 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
12693 "3013" "43693" 2967 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
12715 "3014" "43692" 2952 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
13027 "3028" "45483" 3827 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
8750 "29093" "7413976" 38195 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
8749 "29092" "7413975" 38165 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
6034 "29420" "7429613" 41073 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
5041 "38372" "7907230" 309640 "70878" "Šveicarija" [55.04546,24.25836] 149.18478145589043
13117 "3514" "45563" 3922 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
12728 "3537" "45591" 3995 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
901 "17131" "2515700" 20202 "16347" "Sudervė" [54.761036,25.063001999999997] 2603.225038082936
13028 "3574" "45644" 3996 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
14886 "22910" "4973791" 29797 "24190" "Maldeniai" [56.08905,23.080025999999993] 114.55535215311666
13135 "3617" "45754" 4091 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
stops_match_shape_out_of_order WARNING 5

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.
16527 "13808" "1228372" 14801 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 14800 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
2812 "35668" "7652364" 61105 "20855" "Kontariškiai" [56.04984708813942,24.383280063416947] 61104 "20829" "Smegduobių parkas" [56.056377166218944,24.39590345350891]
1248 "17480" "2657524" 20591 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 20590 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
11442 "29102" "7413991" 38289 "71231" "Žuvintai" [54.448579423202126,23.62330650767253] 38288 "71255" "Litvanciškai" [54.41436513808293,23.67340583550103]
14541 "22910" "4981065" 30291 "44981" "Apušėliai" [56.058900282912056,23.196604001375526] 30290 "23941" "Žiogai" [56.04871914929978,23.214028627477276]
unknown_column INFO 32

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.
"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