GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2026-04-13T06:08:53+03:00,
for the dataset https://www.visimarsrutai.lt/gtfs/google_transit.zip. No country code was provided.

Use this report alongside our documentation.

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

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

Summary

Agencies included


Feed Info


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

Files included


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

Counts


  • Agencies: 52
  • Blocks: 0
  • Routes: 1587
  • Shapes: 4037
  • Stops: 15285
  • Trips: 28854

Specification Compliance report

119849 notices reported (0 errors, 119816 warnings, 33 infos)

Notice Code Severity Total
duplicate_route_name WARNING 1

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`.
536 "3645" 1432 "8681" "144" "Vilnius (Žalgirio stotelė) – Nemenčinė per Pikeliškes" 3 "53"
equal_shape_distance_diff_coordinates_distance_below_threshold WARNING 4156

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 4156 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" 509376 29882.7 878 509375 29882.7 877 0.12791084993239907
"2328" 417079 35929.8 642 417078 35929.8 641 0.11119510090982554
"3659" 504426 49657.5 1177 504425 49657.5 1176 0.12791084993239907
"42205" 3507885 57850.1 335 3507884 57850.1 334 0.06178544815632574
"2369" 405883 63265.5 1261 405882 63265.5 1260 0.11119510090982554
"2385" 615340 69168.3 1771 615339 69168.3 1770 0.06441976500794575
"28733" 2380450 71509.2 1569 2380449 71509.2 1568 0.06441976500794575
"1919" 779108 136875.8 2842 779107 136875.8 2841 0.12752942403551987
"1919" 779111 136876.0 2845 779110 136876.0 2844 0.11119510090982554
"1919" 779118 136876.5 2852 779117 136876.5 2851 0.11119510232447394
"1919" 779121 136876.7 2855 779120 136876.7 2854 0.11119510161714974
"1919" 779124 136876.9 2858 779123 136876.9 2857 0.12752941555597483
"1919" 779133 136877.5 2867 779132 136877.5 2866 0.11119510090982554
"1919" 779136 136877.7 2870 779135 136877.7 2869 0.11119510161714974
"1919" 779139 136877.9 2873 779138 136877.9 2872 0.11119510090982554
"1919" 779146 136878.4 2880 779145 136878.4 2879 0.11119510090982554
"1919" 779149 136878.6 2883 779148 136878.6 2882 0.11119510161714974
"1919" 779158 136879.2 2892 779157 136879.2 2891 0.11119510090982554
"1919" 779161 136879.4 2895 779160 136879.4 2894 0.12752939825777979
"1919" 779164 136879.6 2898 779163 136879.6 2897 0.11119510161714974
"1919" 779173 136880.2 2907 779172 136880.2 2906 0.11119510161714974
"1919" 779177 136880.5 2911 779176 136880.5 2910 0.06244513630731429
"1919" 779183 136880.9 2917 779182 136880.9 2916 0.11119510161714974
"1919" 779186 136881.1 2920 779185 136881.1 2919 0.11119510090982554
"1919" 779189 136881.3 2923 779188 136881.3 2922 0.11119510090982554
"1919" 779198 136881.9 2932 779197 136881.9 2931 0.12752938095958766
"1919" 779201 136882.1 2935 779200 136882.1 2934 0.11119510161714974
"1919" 779212 136882.8 2946 779211 136882.8 2945 0.11119510161714974
"1919" 779217 136883.1 2951 779216 136883.1 2950 0.11119510161714974
"1919" 779225 136883.6 2959 779224 136883.6 2958 0.11119510090982554
"1919" 779230 136883.9 2964 779229 136883.9 2963 0.11119510090982554
"1919" 779243 136884.7 2977 779242 136884.7 2976 0.11119510161714974
"1919" 779245 136884.8 2979 779244 136884.8 2978 0.11119510090982554
"1919" 779248 136885.0 2982 779247 136885.0 2981 0.11119510161714974
"1919" 779256 136885.5 2990 779255 136885.5 2989 0.1275293557985862
"1919" 779258 136885.6 2992 779257 136885.6 2991 0.11119510161714974
"1919" 779261 136885.8 2995 779260 136885.8 2994 0.11119510090982554
"1919" 779263 136885.9 2997 779262 136885.9 2996 0.11119510232447394
"1919" 779269 136886.3 3003 779268 136886.3 3002 0.06244505260741443
"1919" 779274 136886.6 3008 779273 136886.6 3007 0.11119510161714974
"1919" 779276 136886.7 3010 779275 136886.7 3009 0.11119510090982554
"1919" 779279 136886.9 3013 779278 136886.9 3012 0.11119510090982554
"1919" 779281 136887.0 3015 779280 136887.0 3014 0.11119510090982554
"1919" 779287 136887.4 3021 779286 136887.4 3020 0.11119510090982554
"1919" 779289 136887.5 3023 779288 136887.5 3022 0.11119510161714974
"1919" 779292 136887.7 3026 779291 136887.7 3025 0.11119510090982554
"1919" 779294 136887.8 3028 779293 136887.8 3027 0.11119510161714974
"1919" 779305 136888.5 3039 779304 136888.5 3038 0.11119510161714974
"1919" 779307 136888.6 3041 779306 136888.6 3040 0.11119510090982554
"1919" 779310 136888.8 3044 779309 136888.8 3043 0.11119510090982554
equal_shape_distance_same_coordinates WARNING 15000

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 15000 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`.
"54233" 3433963 568.4 11 3433962 568.4 10
"54233" 3433980 1332.9 28 3433979 1332.9 27
"54233" 3433995 2632.1 43 3433994 2632.1 42
"54233" 3434025 4344.1 73 3434024 4344.1 72
"54233" 3434035 4911.0 83 3434034 4911.0 82
"54233" 3434065 6436.5 113 3434064 6436.5 112
"54233" 3434074 7866.2 122 3434073 7866.2 121
"54233" 3434112 14319.8 160 3434111 14319.8 159
"54233" 3434122 14744.6 170 3434121 14744.6 169
"54233" 3434144 15719.1 192 3434143 15719.1 191
"54233" 3434155 15951.6 203 3434154 15951.6 202
"54233" 3434162 16300.0 210 3434161 16300.0 209
"54233" 3434169 16654.4 217 3434168 16654.4 216
"54233" 3434183 16900.6 231 3434182 16900.6 230
"54233" 3434214 17882.6 262 3434213 17882.6 261
"54233" 3434226 18307.8 274 3434225 18307.8 273
"54233" 3434267 22494.3 315 3434266 22494.3 314
"54233" 3434303 25025.7 351 3434302 25025.7 350
"54233" 3434313 26609.0 361 3434312 26609.0 360
"54233" 3434360 27761.7 408 3434359 27761.7 407
"54233" 3434532 38641.3 580 3434531 38641.3 579
"54233" 3434550 44076.7 598 3434549 44076.7 597
"54233" 3434558 45164.8 606 3434557 45164.8 605
"54233" 3434566 45314.5 614 3434565 45314.5 613
"54233" 3434570 45372.3 618 3434569 45372.3 617
"54233" 3434575 45737.6 623 3434574 45737.6 622
"54233" 3434585 46538.2 633 3434584 46538.2 632
"54232" 3433281 568.4 11 3433280 568.4 10
"54232" 3433298 1332.9 28 3433297 1332.9 27
"54232" 3433313 2632.1 43 3433312 2632.1 42
"54232" 3433343 4344.1 73 3433342 4344.1 72
"54232" 3433374 5622.4 104 3433373 5622.4 103
"54232" 3433380 5926.7 110 3433379 5926.7 109
"54232" 3433382 5940.2 112 3433381 5940.2 111
"54232" 3433384 6016.1 114 3433383 6016.1 113
"54232" 3433389 6393.3 119 3433388 6393.3 118
"54232" 3433396 6754.4 126 3433395 6754.4 125
"54232" 3433398 6803.6 128 3433397 6803.6 127
"54232" 3433401 7277.4 131 3433400 7277.4 130
"54232" 3433405 7324.7 135 3433404 7324.7 134
"54232" 3433408 7419.7 138 3433407 7419.7 137
"54232" 3433417 7725.2 147 3433416 7725.2 146
"54232" 3433425 8161.5 155 3433424 8161.5 154
"54232" 3433432 8575.2 162 3433431 8575.2 161
"54232" 3433441 8804.7 171 3433440 8804.7 170
"54232" 3433444 8980.8 174 3433443 8980.8 173
"54232" 3433449 9110.1 179 3433448 9110.1 178
"54232" 3433509 11189.6 239 3433508 11189.6 238
"54232" 3433541 12505.1 271 3433540 12505.1 270
"54232" 3433566 12791.9 296 3433565 12791.9 295
expired_calendar WARNING 180

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 180 affected records are displayed below.

csvRowNumber (?) The row of the faulty record. serviceId (?) The service id of the faulty record.
6 "1076"
12589 "87941"
3306 "73341"
426 "87938"
3253 "1256"
3249 "1271"
13261 "1294"
22998 "24601"
2 "1339"
22990 "12709"
9926 "1379"
9 "1461"
22034 "71609"
2616 "71604"
3977 "71605"
22984 "1954"
19320 "71589"
21104 "71586"
22075 "83728"
23829 "83731"
16065 "83669"
15925 "83664"
11992 "83665"
19750 "20239"
22993 "20237"
22992 "17222"
16569 "17343"
26011 "78853"
2513 "78854"
12922 "78858"
5121 "78961"
47 "76307"
19786 "76308"
48 "76309"
16052 "78958"
5864 "76497"
14998 "76430"
26201 "76431"
18477 "76435"
2940 "76500"
4955 "76689"
5953 "88660"
21537 "88657"
8162 "76690"
6476 "76694"
24003 "88616"
20916 "88612"
5212 "88611"
22994 "13033"
3262 "13105"
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.
5236 "21_APNV_416-45-3-250526-ab-1310" "17272" 196.9887428340989 3.283145713901648 183985 17 "99227" "Krekenava" "14:03:00" 183986 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.
22747 "2699" "7597181"
22780 "2699" "7597150"
22869 "2699" "7597128"
22893 "2699" "7597186"
22918 "2699" "7597187"
22963 "2699" "7597156"
22989 "2699" "7597209"
23011 "2699" "7597164"
23021 "2699" "7597176"
23040 "2699" "7597137"
23109 "2699" "7597173"
23319 "2699" "7597189"
23336 "2699" "7597195"
23362 "2699" "7597171"
23394 "2699" "7597170"
23433 "2699" "7597140"
23619 "2699" "7597141"
23648 "2699" "7597182"
23724 "2699" "7597132"
23791 "2699" "7597191"
23796 "2699" "7597133"
23881 "2699" "7597147"
24043 "2699" "7597126"
24079 "2699" "7597138"
24144 "2699" "7597196"
24168 "2699" "7597144"
24263 "2699" "7597130"
24284 "2699" "7597185"
24293 "2699" "7597205"
24304 "2699" "7597145"
24932 "2699" "7597161"
24953 "2699" "7597151"
24965 "2699" "7597197"
25157 "2699" "7597155"
25202 "2699" "7597146"
25225 "2699" "7597199"
25262 "2699" "7597200"
25527 "2699" "7597159"
25573 "2699" "7597135"
25578 "2699" "7597165"
25678 "2699" "7597174"
25688 "2699" "7597139"
25883 "2699" "7597158"
25944 "2699" "7597160"
26072 "2699" "7597169"
26239 "2699" "7597162"
26397 "2699" "7597180"
26445 "2699" "7597183"
26497 "2699" "7597148"
26572 "2699" "7597188"
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 297

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 297 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\"" 52
"routes.txt" "route_short_name" "3_VLP" 33
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-GLOBOS NAMAI-RIMKAI" 42
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 43
"routes.txt" "route_long_name" "ŠVENČIONYS-ŠUTONYS-ŠVENČIONYS" 111
"routes.txt" "route_short_name" "5_VLP" 235
"routes.txt" "route_long_name" "JONAVA-ŽEIMIAI" 239
"routes.txt" "route_long_name" "ŠVENČIONYS-PABRADĖ-VILNIUS-PABRADĖ-ŠVENČIONYS" 266
"routes.txt" "route_short_name" "40-DT" 327
"routes.txt" "route_long_name" "ŽELVA - PUSNĖ" 367
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS, KANDRĖNUS, LAIČIUS" 368
"routes.txt" "route_short_name" "2_VLP" 428
"routes.txt" "route_long_name" "JONAVA - PAGELEŽIAI" 434
"routes.txt" "route_long_name" "JONAVA-PREIŠIOGALĖLĖ-ŽINĖNAI-JONAVA" 437
"routes.txt" "route_short_name" "94AT" 586
"routes.txt" "route_long_name" "JONAVA-KULVA PER JUODMENĄ" 638
"routes.txt" "route_long_name" "RIMKAI-MAXIMA-ŠVEICARIJA" 639
"routes.txt" "route_long_name" "JONAVA-JUŠKONYS" 640
"routes.txt" "route_long_name" "JONAVA-GAIŽIŪNŲ STOTIS" 641
"routes.txt" "route_long_name" "JONAVA-KUIGALIAI PER NAUJASODĮ" 646
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 647
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER KANDRĖNUS, LAIČIUS" 676
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 687
"routes.txt" "route_short_name" "94-DC" 756
"routes.txt" "route_short_name" "4_VLP" 826
"routes.txt" "route_long_name" "JONAVA-KAUNAS" 836
"routes.txt" "route_long_name" "JONAVA-KĖDAINIAI" 837
"routes.txt" "route_long_name" "JONAVA-KULVA" 838
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 902
"routes.txt" "route_short_name" "70AC" 941
"routes.txt" "route_short_name" "1A_VLP" 1009
"routes.txt" "route_long_name" "JONAVA-RUKLA" 1018
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI" 1019
"routes.txt" "route_long_name" "KUPIŠKIS - ANTAŠAVA" 1082
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 1116
"routes.txt" "route_long_name" "ŠIRVINTOS - UKMERGĖ - ŠIRVINTOS" 1132
"routes.txt" "route_short_name" "2A_VLP" 1214
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-JUODMENA-RIMKAI" 1218
"routes.txt" "route_long_name" "JONAVA-BUKONYS" 1220
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI-BUKONYS-ŠILAI-JONAVA" 1221
"routes.txt" "route_long_name" "PASVALYS-ŽILPAMŪŠIS PER TETIRVINUS" 1241
"routes.txt" "route_long_name" "ŠVENČIONYS-ADUTIŠKIS-JAKELIAI-ADUTIŠKIS-ŠVENČIONYS" 1252
"routes.txt" "route_long_name" "KUPIŠKIS – ŠIMONYS PER MIGONIS" 1253
"routes.txt" "route_long_name" "KUPIŠKIS – PANEVĖŽYS" 1342
"routes.txt" "route_long_name" "ŽELVA - KIAUKLIAI" 1343
"routes.txt" "route_short_name" "50AB" 1369
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS" 1372
"routes.txt" "route_short_name" "1_VLP" 1415
"routes.txt" "route_long_name" "JONAVA-ŠĖTA" 1425
"routes.txt" "route_long_name" "JONAVA-UPININKAI" 1426
stop_too_far_from_shape WARNING 49

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.
28847 "3636" "45756" 2854 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
27675 "3651" "45771" 2883 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
26320 "3653" "45773" 2884 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
27657 "43544" "8124133" 261839 "9340" "Mokykla" [55.512857000000004,26.315831] 134.01174852768767
23355 "43548" "8124139" 261877 "8484" "Mokykla" [55.513561,26.317414] 128.25393944619788
23572 "26974" "7317015" 42300 "14216" "Glaudžiai" [55.90637400000001,21.877556999999996] 1731.1842381583824
23572 "26974" "7317015" 42301 "10163" "Glaudžiai I" [55.90637400000001,21.877556999999996] 935.5388323636666
23572 "26974" "7317015" 42316 "19491" "Plungės autobusų stotis" [55.918779,21.851513000000004] 152.03315218543798
25582 "16822" "2392140" 25190 "8988" "Miškų urėdija" [56.223549,23.648672] 192.32046673726916
22952 "16821" "2392134" 25114 "8988" "Miškų urėdija" [56.223549,23.648672] 192.32046673726916
26244 "16823" "2392141" 25209 "15916" "Miškų urėdija" [56.223436,23.64902] 114.43864929834778
22971 "18654" "3218451" 28089 "67434" "Geluva" [55.249732,23.511073] 140.46827403515317
25096 "32206" "7476583" 52242 "48065" "Troškūnų g." [55.521214350005486,25.097709664383384] 523.8519190658676
25096 "32206" "7476583" 52243 "48066" "Geležinkelio stotis" [55.526276,25.103853] 785.72734673045
25096 "32206" "7476583" 52244 "48068" "Kalno parduotuvė" [55.526598,25.099623999999995] 574.8082135251354
25096 "32206" "7476583" 52247 "48071" "Pušyno mikrorajonas" [55.521132,25.115296] 658.3695095777266
25096 "32206" "7476583" 52252 "48070" "Žiburio g." [55.525912999999996,25.113931000000004] 146.43308427108235
23501 "3899" "46086" 2992 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
28645 "3014" "43694" 2017 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
23694 "29420" "7429613" 47043 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
27214 "4529" "46899" 3928 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
24525 "4527" "47691" 5442 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
25102 "4528" "47692" 5443 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
22996 "14622" "7150733" 41199 "14754" "Naiviai" [55.84397975379556,25.145549112350125] 765.6219655883444
27970 "2821" "45017" 2778 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
24348 "29615" "7432118" 47451 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
23816 "29616" "7432119" 47499 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
10080 "21886" "60_A2-02-1-241209-ba-2100" 75190 "5846" "Grūtas" [54.032271447911626,24.074587772943918] 103.01117636409927
10073 "21885" "60_A2-02-1-241209-ab-1210" 77409 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
12751 "21887" "60_A2-01-7-060404-ab3-1100" 516868 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
12701 "21891" "60_A2-02-1-241209-ab2-2020" 73896 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
13101 "21865" "60_A2-01-7-060404-b3a-1150" 515716 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
10760 "21872" "60_A2-01-6-060404-b2a-1520" 515643 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
26531 "3339" "46943" 3929 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
25760 "4710" "47249" 4660 "4945" "Onuškis" [54.48374200000001,24.591959000000003] 103.16686496628398
23005 "4711" "47251" 4673 "4945" "Onuškis" [54.48374200000001,24.591959000000003] 103.16686496628398
24014 "11705" "747606" 18282 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
23207 "6511" "54507" 10640 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
23697 "6509" "54502" 10601 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
23928 "6513" "54509" 10664 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
23264 "5232" "56646" 12632 "14684" "Lieplaukalė" [55.9354974471734,21.831098374058865] 152.04079667279404
24004 "44681" "8136901" 273731 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
26794 "3514" "45563" 2801 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
25985 "3537" "45591" 2826 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
24189 "17131" "2515700" 25606 "16347" "Sudervė" [54.761036,25.063001999999997] 2603.225038082936
28267 "3574" "45644" 2827 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
26691 "3617" "45754" 2853 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
22950 "15331" "2211799" 22410 "6964" "Mikieriai" [55.66300100000001,25.169295] 153.6142678364674
23672 "15330" "2211797" 22397 "6964" "Mikieriai" [55.66300100000001,25.169295] 153.6142678364674
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.
25716 "3645" "57657" 14647 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14646 "12152" "Jonaičiai" [55.34641499999999,21.570023]
25584 "3667" "57730" 14786 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14785 "13926" "Jonaičiai" [55.346103,21.568929]
24846 "3714" "57736" 14860 "13926" "Jonaičiai" [55.346103,21.568929] 14859 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
25879 "13808" "1228372" 21066 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 21065 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
24820 "26489" "7231018" 41777 "10486" "Kuršų m-la" [55.853816990580704,22.40675061105697] 41776 "7720" "Baltininkai" [55.85382305337965,22.406770171019815]
25149 "35668" "7652364" 63948 "20855" "Kontariškiai" [56.04984708813942,24.383280063416947] 63947 "20829" "Smegduobių parkas" [56.056377166218944,24.39590345350891]
26358 "28435" "7339430" 43676 "64819" "Suostas" [56.32837413018391,24.713657886432735] 43675 "16112" "Svydžiai" [56.352930797976754,24.686322368913352]
28097 "28434" "7339429" 43652 "10057" "Svydžiai" [56.35334128457164,24.685572701413516] 43651 "64820" "Suostas" [56.32837775901334,24.713656830174433]
24839 "6591" "57636" 14323 "13926" "Jonaičiai" [55.346103,21.568929] 14322 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
24402 "3554" "57639" 14363 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14362 "12152" "Jonaičiai" [55.34641499999999,21.570023]
28509 "40377" "8016002" 104267 "72301" "Kirlikai" [55.32834500402225,21.565359093761266] 104266 "97223" "Tarvydai I" [55.328604,21.56423]
23507 "40378" "8016003" 104276 "71683" "Tarvydai II" [55.31814711876975,21.598011981975805] 104275 "97223" "Tarvydai I" [55.328604,21.56423]
23350 "5353" "57622" 14152 "13926" "Jonaičiai" [55.346103,21.568929] 14151 "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