GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2025-10-20T06:08:27+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: 39
  • Blocks: 0
  • Routes: 1363
  • Shapes: 3514
  • Stops: 13074
  • Trips: 21983

Specification Compliance report

111248 notices reported (0 errors, 111215 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`.
760 "16052" 894 "6212" "M23" "Alytus - Punia - Butrimonys - Eigirdonys" 3 "48"
366 "3645" 1244 "8681" "144" "Vilnius (Žalgirio stotelė) – Nemenčinė per Pikeliškes" 3 "53"
340 "6209" 1285 "16982" "M1" "Alytus - Geniai" 3 "48"
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" 528792 29882.7 878 528791 29882.7 877 0.12791084993239907
"2328" 434813 35929.8 642 434812 35929.8 641 0.11119510090982554
"3659" 523842 49657.5 1177 523841 49657.5 1176 0.12791084993239907
"42205" 3247882 57850.1 335 3247881 57850.1 334 0.06178544815632574
"2369" 419968 63265.5 1261 419967 63265.5 1260 0.11119510090982554
"2385" 633631 69168.3 1771 633630 69168.3 1770 0.06441976500794575
"28733" 2318774 71509.2 1569 2318773 71509.2 1568 0.06441976500794575
"1919" 798295 136875.8 2842 798294 136875.8 2841 0.12752942403551987
"1919" 798298 136876.0 2845 798297 136876.0 2844 0.11119510090982554
"1919" 798305 136876.5 2852 798304 136876.5 2851 0.11119510232447394
"1919" 798308 136876.7 2855 798307 136876.7 2854 0.11119510161714974
"1919" 798311 136876.9 2858 798310 136876.9 2857 0.12752941555597483
"1919" 798320 136877.5 2867 798319 136877.5 2866 0.11119510090982554
"1919" 798323 136877.7 2870 798322 136877.7 2869 0.11119510161714974
"1919" 798326 136877.9 2873 798325 136877.9 2872 0.11119510090982554
"1919" 798333 136878.4 2880 798332 136878.4 2879 0.11119510090982554
"1919" 798336 136878.6 2883 798335 136878.6 2882 0.11119510161714974
"1919" 798345 136879.2 2892 798344 136879.2 2891 0.11119510090982554
"1919" 798348 136879.4 2895 798347 136879.4 2894 0.12752939825777979
"1919" 798351 136879.6 2898 798350 136879.6 2897 0.11119510161714974
"1919" 798360 136880.2 2907 798359 136880.2 2906 0.11119510161714974
"1919" 798364 136880.5 2911 798363 136880.5 2910 0.06244513630731429
"1919" 798370 136880.9 2917 798369 136880.9 2916 0.11119510161714974
"1919" 798373 136881.1 2920 798372 136881.1 2919 0.11119510090982554
"1919" 798376 136881.3 2923 798375 136881.3 2922 0.11119510090982554
"1919" 798385 136881.9 2932 798384 136881.9 2931 0.12752938095958766
"1919" 798388 136882.1 2935 798387 136882.1 2934 0.11119510161714974
"1919" 798399 136882.8 2946 798398 136882.8 2945 0.11119510161714974
"1919" 798404 136883.1 2951 798403 136883.1 2950 0.11119510161714974
"1919" 798412 136883.6 2959 798411 136883.6 2958 0.11119510090982554
"1919" 798417 136883.9 2964 798416 136883.9 2963 0.11119510090982554
"1919" 798430 136884.7 2977 798429 136884.7 2976 0.11119510161714974
"1919" 798432 136884.8 2979 798431 136884.8 2978 0.11119510090982554
"1919" 798435 136885.0 2982 798434 136885.0 2981 0.11119510161714974
"1919" 798443 136885.5 2990 798442 136885.5 2989 0.1275293557985862
"1919" 798445 136885.6 2992 798444 136885.6 2991 0.11119510161714974
"1919" 798448 136885.8 2995 798447 136885.8 2994 0.11119510090982554
"1919" 798450 136885.9 2997 798449 136885.9 2996 0.11119510232447394
"1919" 798456 136886.3 3003 798455 136886.3 3002 0.06244505260741443
"1919" 798461 136886.6 3008 798460 136886.6 3007 0.11119510161714974
"1919" 798463 136886.7 3010 798462 136886.7 3009 0.11119510090982554
"1919" 798466 136886.9 3013 798465 136886.9 3012 0.11119510090982554
"1919" 798468 136887.0 3015 798467 136887.0 3014 0.11119510090982554
"1919" 798474 136887.4 3021 798473 136887.4 3020 0.11119510090982554
"1919" 798476 136887.5 3023 798475 136887.5 3022 0.11119510161714974
"1919" 798479 136887.7 3026 798478 136887.7 3025 0.11119510090982554
"1919" 798481 136887.8 3028 798480 136887.8 3027 0.11119510161714974
"1919" 798492 136888.5 3039 798491 136888.5 3038 0.11119510161714974
"1919" 798494 136888.6 3041 798493 136888.6 3040 0.11119510090982554
"1919" 798497 136888.8 3044 798496 136888.8 3043 0.11119510090982554
equal_shape_distance_same_coordinates WARNING 6617

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 6617 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`.
"42240" 3242956 737.8 13 3242955 737.8 12
"42240" 3242968 2352.0 25 3242967 2352.0 24
"42240" 3242977 3491.8 34 3242976 3491.8 33
"42240" 3242983 4865.0 40 3242982 4865.0 39
"42240" 3242987 5554.3 44 3242986 5554.3 43
"42240" 3243004 6396.7 61 3243003 6396.7 60
"42240" 3243011 6934.4 68 3243010 6934.4 67
"42240" 3243026 7840.3 83 3243025 7840.3 82
"42240" 3243040 10346.3 97 3243039 10346.3 96
"42240" 3243045 11454.4 102 3243044 11454.4 101
"42240" 3243053 13835.6 110 3243052 13835.6 109
"42240" 3243060 15723.6 117 3243059 15723.6 116
"42240" 3243069 17949.4 126 3243068 17949.4 125
"42240" 3243077 19562.0 134 3243076 19562.0 133
"42240" 3243085 21049.9 142 3243084 21049.9 141
"42240" 3243095 22942.4 152 3243094 22942.4 151
"42240" 3243102 24678.0 159 3243101 24678.0 158
"42240" 3243115 26969.0 172 3243114 26969.0 171
"42240" 3243151 29908.1 208 3243150 29908.1 207
"42240" 3243153 30452.1 210 3243152 30452.1 209
"42240" 3243162 31702.0 219 3243161 31702.0 218
"42240" 3243164 32018.4 221 3243163 32018.4 220
"42240" 3243184 35179.9 241 3243183 35179.9 240
"42240" 3243205 36507.3 262 3243204 36507.3 261
"42240" 3243226 37918.9 283 3243225 37918.9 282
"42240" 3243237 38898.8 294 3243236 38898.8 293
"42240" 3243248 40703.2 305 3243247 40703.2 304
"42241" 3243471 2949.9 56 3243470 2949.9 55
"42241" 3243490 4357.5 75 3243489 4357.5 74
"42241" 3243507 5630.3 92 3243506 5630.3 91
"42241" 3243528 8766.6 113 3243527 8766.6 112
"42241" 3243531 9153.8 116 3243530 9153.8 115
"42241" 3243537 10359.6 122 3243536 10359.6 121
"42241" 3243539 10851.3 124 3243538 10851.3 123
"42241" 3243590 14478.9 175 3243589 14478.9 174
"42241" 3243603 16715.9 188 3243602 16715.9 187
"42241" 3243626 21124.2 211 3243625 21124.2 210
"42241" 3243635 22132.7 220 3243634 22132.7 219
"42241" 3243645 23593.3 230 3243644 23593.3 229
"42241" 3243651 25255.5 236 3243650 25255.5 235
"42241" 3243661 27458.5 246 3243660 27458.5 245
"42241" 3243668 29420.8 253 3243667 29420.8 252
"42241" 3243676 31816.0 261 3243675 31816.0 260
"42241" 3243682 32864.4 267 3243681 32864.4 266
"42241" 3243703 35395.5 288 3243702 35395.5 287
"42241" 3243713 36023.8 298 3243712 36023.8 297
"42241" 3243750 37818.6 335 3243749 37818.6 334
"42241" 3243759 38338.0 344 3243758 38338.0 343
"42241" 3243765 38959.5 350 3243764 38959.5 349
"42241" 3243782 40738.3 367 3243781 40738.3 366
expired_calendar WARNING 48

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.
2690 "60928"
2691 "60959"
2671 "44833"
2155 "47985"
3760 "44819"
1095 "60890"
1638 "48492"
191 "66471"
2832 "66470"
2297 "66486"
23 "43774"
534 "1256"
1072 "3012"
2662 "3047"
3754 "24602"
3210 "3086"
3231 "48594"
3374 "66581"
3742 "2688"
16 "2697"
705 "66565"
2839 "66566"
1073 "10038"
1621 "2705"
1069 "2713"
2655 "2726"
1622 "2734"
2656 "2731"
591 "60347"
3743 "2773"
87 "1461"
2658 "2789"
2142 "2796"
3728 "678"
17 "2801"
1070 "2800"
2659 "2806"
3744 "2848"
2679 "48071"
31 "48073"
1572 "66704"
2491 "66705"
3208 "2938"
2678 "48062"
1759 "59691"
2122 "973"
18 "6675"
1625 "6669"
fast_travel_between_consecutive_stops WARNING 3

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.
20070 "8055844" "17050" 1041.5567056076209 1.7359278426793683 240535 20 "11568" "Išorai" "15:52:57" 240536 21 "71035" "Girininkai" "15:53:03"
16008 "8093432" "17272" 196.9887428340989 3.283145713901648 428721 17 "99227" "Krekenava" "14:03:00" 428722 18 "99243" "Rabikiai" "14:03:00"
13841 "8091136" "17220" 196.9887428340989 3.283145713901648 400825 17 "98468" "Krekenava" "14:03:00" 400826 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.
815 "2699" "7597169"
6688 "2699" "7597174"
6689 "2699" "7597180"
6692 "2699" "7597181"
6693 "2699" "7597175"
6694 "2699" "7597176"
6962 "2699" "7597170"
6963 "2699" "7597171"
6964 "2699" "7597172"
6965 "2699" "7597173"
7001 "2699" "7597128"
7002 "2699" "7597129"
7003 "2699" "7597130"
7004 "2699" "7597131"
7005 "2699" "7597132"
7086 "2699" "7597177"
7087 "2699" "7597178"
7208 "2699" "7597182"
7209 "2699" "7597183"
7210 "2699" "7597184"
7211 "2699" "7597185"
7279 "2699" "7597186"
7280 "2699" "7597187"
7282 "2699" "7597188"
7284 "2699" "7597189"
7378 "2699" "7597190"
7379 "2699" "7597191"
7380 "2699" "7597192"
7381 "2699" "7597193"
7382 "2699" "7597194"
7383 "2699" "7597195"
7384 "2699" "7597196"
7385 "2699" "7597197"
7386 "2699" "7597198"
7444 "2699" "7597199"
7446 "2699" "7597200"
7447 "2699" "7597201"
7448 "2699" "7597202"
7517 "2699" "7597203"
7519 "2699" "7597204"
7616 "2699" "7597205"
7659 "2699" "7597206"
7660 "2699" "7597207"
7661 "2699" "7597208"
7763 "2699" "7597209"
7764 "2699" "7597210"
7765 "2699" "7597211"
7766 "2699" "7597212"
7791 "2699" "7597021"
21464 "2699" "7597133"
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 211

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 211 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\"" 39
"routes.txt" "route_long_name" "JONAVA-ŠĖTA" 47
"routes.txt" "route_long_name" "JONAVA-UPININKAI" 51
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS, KANDRĖNUS, LAIČIUS" 205
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-GLOBOS NAMAI-RIMKAI" 206
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 207
"routes.txt" "route_short_name" "1A_VLP" 302
"routes.txt" "route_short_name" "523_VLP" 330
"routes.txt" "route_short_name" "518_VLP" 338
"routes.txt" "route_long_name" "JONAVA-BUKONYS" 349
"routes.txt" "route_short_name" "2_VLP" 457
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI-BUKONYS-ŠILAI-JONAVA" 498
"routes.txt" "route_long_name" "JONAVA-ŽINĖNAI-PREIŠIOGALĖLĖ-JONAVA" 506
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 513
"routes.txt" "route_long_name" "JONAVA-ŽEIMIAI" 547
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER KANDRĖNUS, LAIČIUS" 555
"routes.txt" "route_long_name" "RIMKAI-MAXIMA-ŠVEICARIJA" 698
"routes.txt" "route_long_name" "JONAVA-RUKLA" 699
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI" 700
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 709
"routes.txt" "route_long_name" "JONAVA-KUIGALIAI PER NAUJASODĮ" 834
"routes.txt" "route_long_name" "JONAVA-KĖDAINIAI" 881
"routes.txt" "route_long_name" "KUPIŠKIS - ANTAŠAVA" 931
"routes.txt" "route_short_name" "2A_VLP" 965
"routes.txt" "route_long_name" "JONAVA - PAGELEŽIAI" 998
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-JUODMENA-RIMKAI" 1054
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 1056
"routes.txt" "route_long_name" "KUPIŠKIS – ŠIMONYS PER MIGONIS" 1073
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS" 1109
"routes.txt" "route_long_name" "KUPIŠKIS – PANEVĖŽYS" 1114
"routes.txt" "route_short_name" "1_VLP" 1135
"routes.txt" "route_long_name" "UKMERGĖ- MIŠNIŪNAI PER LIAUŠIUS" 1200
"routes.txt" "route_long_name" "KUPIŠKIS – LAIČIAI PER KANDRĖNUS, SKAPIŠKIO MSTL." 1202
"routes.txt" "route_long_name" "KUPIŠKIS – VAINIŪNIŠKIS (PER PALĖVENĖLĘ) – KUPIŠKIS" 1214
"routes.txt" "route_long_name" "JONAVA-KAUNAS" 1219
"routes.txt" "route_long_name" "JONAVA-KULVA" 1220
"routes.txt" "route_long_name" "KUPIŠKIS – SUBAČIAUS MST. PER LUKONIS" 1255
"routes.txt" "route_long_name" "KUPIŠKIS – ALIZAVA PER PALĖVENĖLĘ – KUPIŠKIS" 1290
"routes.txt" "route_short_name" "3_VLP" 1300
"routes.txt" "route_short_name" "4_VLP" 1303
"routes.txt" "route_short_name" "5_VLP" 1304
"routes.txt" "route_short_name" "787_VLP" 1326
"routes.txt" "route_long_name" "JONAVA-JUŠKONYS" 1354
"routes.txt" "route_long_name" "JONAVA-PREIŠIOGALĖLĖ-ŽINĖNAI-JONAVA" 1357
"routes.txt" "route_long_name" "JONAVA-KULVA PER JUODMENĄ" 1359
"routes.txt" "route_long_name" "JONAVA-GAIŽIŪNŲ STOTIS" 1360
"stops.txt" "stop_name" "140 km" 762
"stops.txt" "stop_name" "VDU klasikinio ugdymo licėjus A" 1213
"stops.txt" "stop_name" "4-asis fortas B" 1221
"stops.txt" "stop_name" "7-asis kilometras A" 1318
stop_too_far_from_shape WARNING 52

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 52 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.
5895 "3636" "45756" 3497 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
5896 "3651" "45771" 3526 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
5527 "3653" "45773" 3527 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
8008 "26974" "7317010" 39360 "14216" "Glaudžiai" [55.90637400000001,21.877556999999996] 1731.1842381583824
8008 "26974" "7317010" 39361 "10163" "Glaudžiai I" [55.90637400000001,21.877556999999996] 935.5388323636666
8008 "26974" "7317010" 39376 "19491" "Plungės autobusų stotis" [55.918779,21.851513000000004] 152.03315218543798
19767 "10745" "432217" 15328 "8484" "Mokykla" [55.513561,26.317414] 128.25393944619788
13456 "29329" "7418310" 46809 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
14370 "29328" "7418309" 46786 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
18854 "37846" "7870668" 82155 "91654" "Kūlokai" [54.45108200000001,23.396507] 3297.0156004557466
14248 "9923" "432216" 15327 "9340" "Mokykla" [55.512857000000004,26.315831] 134.01174852768767
1932 "37814" "7870743" 83645 "91339" "Sūduva" [54.57502093577935,23.37188570151982] 108.83359346294479
2789 "18654" "3218451" 24034 "67434" "Geluva" [55.249732,23.511073] 140.46827403515317
11873 "32206" "7476583" 52770 "48065" "Troškūnų g." [55.521214350005486,25.097709664383384] 523.8519190658676
11873 "32206" "7476583" 52771 "48066" "Geležinkelio stotis" [55.526276,25.103853] 785.72734673045
11873 "32206" "7476583" 52772 "48068" "Kalno parduotuvė" [55.526598,25.099623999999995] 574.8082135251354
11873 "32206" "7476583" 52775 "48071" "Pušyno mikrorajonas" [55.521132,25.115296] 658.3695095777266
11873 "32206" "7476583" 52780 "48070" "Žiburio g." [55.525912999999996,25.113931000000004] 146.43308427108235
5784 "3899" "46086" 3635 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
5853 "3014" "43694" 2660 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
15219 "29420" "7429613" 47331 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
18152 "22910" "4973791" 32064 "24190" "Maldeniai" [56.08905,23.080025999999993] 114.55535215311666
5877 "4529" "46899" 4472 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
5887 "4527" "47691" 5607 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
5842 "4528" "47692" 5608 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
2534 "14622" "7150732" 38241 "14754" "Naiviai" [55.84397975379556,25.145549112350125] 765.6219655883444
6 "18184" "2933102" 23530 "24190" "Maldeniai" [56.08905,23.080025999999993] 114.55535215311666
3299 "18185" "2933105" 23544 "24190" "Maldeniai" [56.08905,23.080025999999993] 114.55535215311666
5863 "2821" "45017" 3421 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
1305 "29615" "7432118" 47875 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
17169 "29616" "7432119" 47923 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
1035 "21886" "7847213" 79416 "5846" "Grūtas" [54.032271447911626,24.074587772943918] 103.01117636409927
2113 "41495" "8055536" 235130 "70878" "Šveicarija" [55.04546,24.25836] 149.18478145589043
287 "21885" "7847163" 78760 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
1322 "21887" "7847087" 77672 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
1057 "21891" "7846924" 75455 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
1337 "21865" "7847347" 81067 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
223 "21872" "7847122" 78188 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
6132 "3339" "46943" 4473 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
18286 "28460" "7340051" 42182 "8316" "Tirkšlių paviljonas" [56.262579012838884,22.304642653254728] 376.76730742519857
5421 "11705" "747606" 15486 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
5643 "6511" "54507" 9189 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
5342 "6509" "54501" 9135 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
5645 "6513" "54509" 9213 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
2669 "29093" "7413976" 44672 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
2668 "29092" "7413975" 44642 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
6136 "5232" "48166" 5835 "14684" "Lieplaukalė" [55.9354974471734,21.831098374058865] 152.04079667279404
5864 "3514" "45563" 3444 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
5525 "3537" "45591" 3469 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
3110 "17131" "2515700" 22181 "16347" "Sudervė" [54.761036,25.063001999999997] 2603.225038082936
stops_match_shape_out_of_order WARNING 14

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.
6257 "3645" "57657" 11563 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 11562 "12152" "Jonaičiai" [55.34641499999999,21.570023]
6234 "3667" "57730" 11702 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 11701 "13926" "Jonaičiai" [55.346103,21.568929]
5656 "3714" "57735" 11760 "13926" "Jonaičiai" [55.346103,21.568929] 11759 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
20522 "13808" "1228372" 17048 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 17047 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
4941 "17480" "2657524" 22570 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 22569 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
17844 "22910" "4981065" 32624 "44981" "Apušėliai" [56.058900282912056,23.196604001375526] 32623 "23941" "Žiogai" [56.04871914929978,23.214028627477276]
17045 "28435" "7339430" 42117 "64819" "Suostas" [56.32837413018391,24.713657886432735] 42116 "16112" "Svydžiai" [56.352930797976754,24.686322368913352]
17043 "28434" "7339429" 42093 "10057" "Svydžiai" [56.35334128457164,24.685572701413516] 42092 "64820" "Suostas" [56.32837775901334,24.713656830174433]
6231 "6591" "57635" 11223 "13926" "Jonaičiai" [55.346103,21.568929] 11222 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
5650 "3554" "57640" 11301 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 11300 "12152" "Jonaičiai" [55.34641499999999,21.570023]
11790 "29102" "7413991" 44766 "71231" "Žuvintai" [54.448579423202126,23.62330650767253] 44765 "71255" "Litvanciškai" [54.41436513808293,23.67340583550103]
6686 "40377" "8016002" 134829 "72301" "Kirlikai" [55.32834500402225,21.565359093761266] 134828 "97223" "Tarvydai I" [55.328604,21.56423]
21811 "40378" "8016003" 134838 "71683" "Tarvydai II" [55.31814711876975,21.598011981975805] 134837 "97223" "Tarvydai I" [55.328604,21.56423]
6458 "5353" "57618" 11051 "13926" "Jonaičiai" [55.346103,21.568929] 11050 "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