GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2026-02-18T06:08:51+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: 42
  • Blocks: 0
  • Routes: 1289
  • Shapes: 3238
  • Stops: 12336
  • Trips: 20240

Specification Compliance report

113975 notices reported (0 errors, 113942 warnings, 33 infos)

Notice Code Severity Total
duplicate_route_name WARNING 4

duplicate_route_name

Two distinct routes have either the same route_short_name, the same route_long_name, or the same combination of route_short_name and route_long_name.

All routes of the same route_type with the same agency_id should have unique combinations of route_short_name and route_long_name.

Note that there may be valid cases where routes have the same short and long name, e.g., if they serve different areas. However, different directions must be modeled as the same route.

Example of bad data:

route_id route_short_name route_long_name
route1 U1 Southern
route2 U1 Southern

You can see more about this notice here.

csvRowNumber1 (?) The row number of the first occurrence. routeId1 (?) The id of the the first occurrence. csvRowNumber2 (?) The row number of the other occurrence. routeId2 (?) The id of the the other occurrence. routeShortName (?) Common `routes.route_short_name`. routeLongName (?) Common `routes.route_long_name`. routeTypeValue (?) Common `routes.route_type`. agencyId (?) Common `routes.agency_id`.
206 "18329" 243 "6209" "M1" "Alytus - Geniai" 3 "48"
688 "16052" 926 "6212" "M23" "Alytus - Punia - Butrimonys - Eigirdonys" 3 "48"
810 "19232" 1132 "19162" "M-152" "Kauno g.-Poliklinika-Birštono seniūnija" 3 "58"
379 "3645" 1184 "8681" "144" "Vilnius (Žalgirio stotelė) – Nemenčinė per Pikeliškes" 3 "53"
equal_shape_distance_diff_coordinates_distance_below_threshold WARNING 4153

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 4153 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" 492517 29882.7 878 492516 29882.7 877 0.12791084993239907
"2328" 397335 35929.8 642 397334 35929.8 641 0.11119510090982554
"3659" 487567 49657.5 1177 487566 49657.5 1176 0.12791084993239907
"42205" 3180497 57850.1 335 3180496 57850.1 334 0.06178544815632574
"2369" 382584 63265.5 1261 382583 63265.5 1260 0.11119510090982554
"2385" 597589 69168.3 1771 597588 69168.3 1770 0.06441976500794575
"28733" 2284286 71509.2 1569 2284285 71509.2 1568 0.06441976500794575
"1919" 762416 136875.8 2842 762415 136875.8 2841 0.12752942403551987
"1919" 762419 136876.0 2845 762418 136876.0 2844 0.11119510090982554
"1919" 762426 136876.5 2852 762425 136876.5 2851 0.11119510232447394
"1919" 762429 136876.7 2855 762428 136876.7 2854 0.11119510161714974
"1919" 762432 136876.9 2858 762431 136876.9 2857 0.12752941555597483
"1919" 762441 136877.5 2867 762440 136877.5 2866 0.11119510090982554
"1919" 762444 136877.7 2870 762443 136877.7 2869 0.11119510161714974
"1919" 762447 136877.9 2873 762446 136877.9 2872 0.11119510090982554
"1919" 762454 136878.4 2880 762453 136878.4 2879 0.11119510090982554
"1919" 762457 136878.6 2883 762456 136878.6 2882 0.11119510161714974
"1919" 762466 136879.2 2892 762465 136879.2 2891 0.11119510090982554
"1919" 762469 136879.4 2895 762468 136879.4 2894 0.12752939825777979
"1919" 762472 136879.6 2898 762471 136879.6 2897 0.11119510161714974
"1919" 762481 136880.2 2907 762480 136880.2 2906 0.11119510161714974
"1919" 762485 136880.5 2911 762484 136880.5 2910 0.06244513630731429
"1919" 762491 136880.9 2917 762490 136880.9 2916 0.11119510161714974
"1919" 762494 136881.1 2920 762493 136881.1 2919 0.11119510090982554
"1919" 762497 136881.3 2923 762496 136881.3 2922 0.11119510090982554
"1919" 762506 136881.9 2932 762505 136881.9 2931 0.12752938095958766
"1919" 762509 136882.1 2935 762508 136882.1 2934 0.11119510161714974
"1919" 762520 136882.8 2946 762519 136882.8 2945 0.11119510161714974
"1919" 762525 136883.1 2951 762524 136883.1 2950 0.11119510161714974
"1919" 762533 136883.6 2959 762532 136883.6 2958 0.11119510090982554
"1919" 762538 136883.9 2964 762537 136883.9 2963 0.11119510090982554
"1919" 762551 136884.7 2977 762550 136884.7 2976 0.11119510161714974
"1919" 762553 136884.8 2979 762552 136884.8 2978 0.11119510090982554
"1919" 762556 136885.0 2982 762555 136885.0 2981 0.11119510161714974
"1919" 762564 136885.5 2990 762563 136885.5 2989 0.1275293557985862
"1919" 762566 136885.6 2992 762565 136885.6 2991 0.11119510161714974
"1919" 762569 136885.8 2995 762568 136885.8 2994 0.11119510090982554
"1919" 762571 136885.9 2997 762570 136885.9 2996 0.11119510232447394
"1919" 762577 136886.3 3003 762576 136886.3 3002 0.06244505260741443
"1919" 762582 136886.6 3008 762581 136886.6 3007 0.11119510161714974
"1919" 762584 136886.7 3010 762583 136886.7 3009 0.11119510090982554
"1919" 762587 136886.9 3013 762586 136886.9 3012 0.11119510090982554
"1919" 762589 136887.0 3015 762588 136887.0 3014 0.11119510090982554
"1919" 762595 136887.4 3021 762594 136887.4 3020 0.11119510090982554
"1919" 762597 136887.5 3023 762596 136887.5 3022 0.11119510161714974
"1919" 762600 136887.7 3026 762599 136887.7 3025 0.11119510090982554
"1919" 762602 136887.8 3028 762601 136887.8 3027 0.11119510161714974
"1919" 762613 136888.5 3039 762612 136888.5 3038 0.11119510161714974
"1919" 762615 136888.6 3041 762614 136888.6 3040 0.11119510090982554
"1919" 762618 136888.8 3044 762617 136888.8 3043 0.11119510090982554
equal_shape_distance_same_coordinates WARNING 8620

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 8620 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" 3011221 350.5 28 3011220 350.5 27
"43541" 3011232 811.7 39 3011231 811.7 38
"43541" 3011271 1779.8 78 3011270 1779.8 77
"43541" 3011315 3184.3 122 3011314 3184.3 121
"43541" 3011348 4418.1 155 3011347 4418.1 154
"43541" 3011364 4854.6 171 3011363 4854.6 170
"43541" 3011413 6561.9 220 3011412 6561.9 219
"43541" 3011449 7544.1 256 3011448 7544.1 255
"43541" 3011488 8757.6 295 3011487 8757.6 294
"43541" 3011505 9358.6 312 3011504 9358.6 311
"43541" 3011532 9709.1 339 3011531 9709.1 338
"43541" 3011578 10376.7 385 3011577 10376.7 384
"43541" 3011631 11116.1 438 3011630 11116.1 437
"43541" 3011662 11700.4 469 3011661 11700.4 468
"43541" 3011693 12284.8 500 3011692 12284.8 499
"43541" 3011954 14358.7 761 3011953 14358.7 760
"43541" 3012030 14706.8 837 3012029 14706.8 836
"43541" 3012130 15301.6 937 3012129 15301.6 936
"43541" 3012230 15896.4 1037 3012229 15896.4 1036
"43541" 3012306 16244.5 1113 3012305 16244.5 1112
"43541" 3012504 17133.2 1311 3012503 17133.2 1310
"43541" 3012747 18161.9 1554 3012746 18161.9 1553
"43541" 3012772 18472.3 1579 3012771 18472.3 1578
"43541" 3012822 18976.3 1629 3012821 18976.3 1628
"43541" 3012969 19673.4 1776 3012968 19673.4 1775
"43541" 3013198 21285.9 2005 3013197 21285.9 2004
"43541" 3013274 22756.6 2081 3013273 22756.6 2080
"43541" 3013350 24227.3 2157 3013349 24227.3 2156
"43541" 3013389 24719.6 2196 3013388 24719.6 2195
"43541" 3013406 25292.2 2213 3013405 25292.2 2212
"43541" 3013425 25625.9 2232 3013424 25625.9 2231
"43541" 3013513 26736.7 2320 3013512 26736.7 2319
"43541" 3013600 27236.5 2407 3013599 27236.5 2406
"43541" 3013649 28436.1 2456 3013648 28436.1 2455
"43541" 3013688 28928.5 2495 3013687 28928.5 2494
"43541" 3013739 29639.4 2546 3013738 29639.4 2545
"43541" 3013970 30811.2 2777 3013969 30811.2 2776
"43541" 3014046 31159.3 2853 3014045 31159.3 2852
"43541" 3014146 31754.1 2953 3014145 31754.1 2952
"43541" 3014246 32348.9 3053 3014245 32348.9 3052
"43541" 3014322 32697.0 3129 3014321 32697.0 3128
"43541" 3014520 33585.6 3327 3014519 33585.6 3326
"43541" 3014804 35228.5 3611 3014803 35228.5 3610
"43541" 3014857 35967.9 3664 3014856 35967.9 3663
"43541" 3014888 36552.2 3695 3014887 36552.2 3694
"43541" 3014919 37136.6 3726 3014918 37136.6 3725
"42206" 3180668 20641.7 108 3180667 20641.7 107
"42206" 3180691 24205.9 131 3180690 24205.9 130
"43537" 3191100 310.3 26 3191099 310.3 25
"43537" 3191113 811.7 39 3191112 811.7 38
expired_calendar WARNING 63

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 63 affected records are displayed below.

csvRowNumber (?) The row of the faulty record. serviceId (?) The service id of the faulty record.
10771 "17222"
9224 "31530"
6 "1076"
6212 "13743"
1589 "73341"
7728 "17343"
3080 "2499"
23 "43774"
1537 "1256"
1533 "1271"
6177 "1294"
10772 "24602"
2 "1339"
3077 "2685"
10769 "12709"
4634 "1379"
6203 "2737"
7720 "2766"
8 "1461"
7732 "47502"
10758 "678"
9218 "2814"
6207 "2849"
6208 "2852"
7722 "2850"
4649 "2980"
7721 "2975"
3078 "2974"
9217 "2972"
6176 "973"
57 "76307"
9266 "76308"
58 "76309"
6221 "47985"
10763 "1954"
10766 "3000"
3079 "3012"
9226 "20239"
10773 "20237"
10774 "13033"
1544 "13105"
7781 "76816"
11 "2009"
13 "2022"
7737 "48071"
25 "48073"
6195 "2066"
7736 "48062"
4647 "2111"
7719 "2123"
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.
4606 "21_APNV_416-45-3-250526-ab-1310" "17272" 196.9887428340989 3.283145713901648 203211 17 "99227" "Krekenava" "14:03:00" 203212 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.
14651 "2699" "7597155"
14687 "2699" "7597146"
14763 "2699" "7597130"
14783 "2699" "7597181"
14809 "2699" "7597150"
14885 "2699" "7597128"
14901 "2699" "7597186"
14978 "2699" "7597212"
15384 "2699" "7597188"
15387 "2699" "7597203"
15392 "2699" "7597157"
15577 "2699" "7597136"
15610 "2699" "7597211"
15641 "2699" "7597208"
15664 "2699" "7597127"
15723 "2699" "7597166"
15766 "2699" "7597187"
15800 "2699" "7597156"
15849 "2699" "7597177"
15896 "2699" "7597202"
15907 "2699" "7597209"
15935 "2699" "7597189"
15950 "2699" "7597195"
15972 "2699" "7597171"
16036 "2699" "7597125"
16107 "2699" "7597132"
16191 "2699" "7597210"
16196 "2699" "7597201"
16197 "2699" "7597172"
16283 "2699" "7597196"
16303 "2699" "7597144"
16320 "2699" "7597164"
16327 "2699" "7597176"
16342 "2699" "7597137"
16393 "2699" "7597170"
16510 "2699" "7597140"
16555 "2699" "7597191"
16559 "2699" "7597133"
16688 "2699" "7597147"
16752 "2699" "7597161"
16768 "2699" "7597151"
16777 "2699" "7597197"
16947 "2699" "7597199"
16971 "2699" "7597200"
17026 "2699" "7597174"
17035 "2699" "7597139"
17157 "2699" "7597135"
17160 "2699" "7597165"
17217 "2699" "7597160"
17225 "2699" "7597169"
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 908

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 908 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\"" 42
"routes.txt" "route_long_name" "RIMKAI-MAXIMA-ŠVEICARIJA" 23
"routes.txt" "route_long_name" "JONAVA-ŽEIMIAI" 27
"routes.txt" "route_short_name" "3_VLP" 32
"routes.txt" "route_long_name" "ŠVENČIONYS-ŠUTONYS-ŠVENČIONYS" 92
"routes.txt" "route_long_name" "JONAVA-PREIŠIOGALĖLĖ-ŽINĖNAI-JONAVA" 150
"routes.txt" "route_long_name" "JONAVA-KULVA PER JUODMENĄ" 184
"routes.txt" "route_long_name" "JONAVA-KAUNAS" 185
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 186
"routes.txt" "route_long_name" "JONAVA-KULVA" 187
"routes.txt" "route_long_name" "JONAVA-UPININKAI" 189
"routes.txt" "route_short_name" "5_VLP" 198
"routes.txt" "route_long_name" "ŠVENČIONYS-PABRADĖ-VILNIUS-PABRADĖ-ŠVENČIONYS" 241
"routes.txt" "route_long_name" "ŽELVA - PUSNĖ" 315
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS, KANDRĖNUS, LAIČIUS" 318
"routes.txt" "route_short_name" "40-DT" 336
"routes.txt" "route_long_name" "JONAVA-JUŠKONYS" 349
"routes.txt" "route_long_name" "JONAVA-ŠĖTA" 350
"routes.txt" "route_long_name" "JONAVA-KUIGALIAI PER NAUJASODĮ" 354
"routes.txt" "route_short_name" "2_VLP" 355
"routes.txt" "route_long_name" "JONAVA-ŽINĖNAI-PREIŠIOGALĖLĖ-JONAVA" 483
"routes.txt" "route_short_name" "94AT" 484
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-GLOBOS NAMAI-RIMKAI" 517
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 535
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 542
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER KANDRĖNUS, LAIČIUS" 593
"routes.txt" "route_short_name" "94-DC" 612
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI" 668
"routes.txt" "route_long_name" "JONAVA-RUKLA" 669
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI-BUKONYS-ŠILAI-JONAVA" 670
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-JUODMENA-RIMKAI" 671
"routes.txt" "route_short_name" "4_VLP" 679
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 723
"routes.txt" "route_short_name" "70AC" 763
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 815
"routes.txt" "route_long_name" "JONAVA-GAIŽIŪNŲ STOTIS" 823
"routes.txt" "route_short_name" "1A_VLP" 829
"routes.txt" "route_long_name" "ŠIRVINTOS - UKMERGĖ - ŠIRVINTOS" 882
"routes.txt" "route_long_name" "KUPIŠKIS - ANTAŠAVA" 907
"routes.txt" "route_long_name" "JONAVA-BUKONYS" 974
"routes.txt" "route_short_name" "2A_VLP" 977
"routes.txt" "route_long_name" "KUPIŠKIS – PANEVĖŽYS" 1022
"routes.txt" "route_long_name" "KUPIŠKIS – ŠIMONYS PER MIGONIS" 1025
"routes.txt" "route_long_name" "ŽELVA - KIAUKLIAI" 1028
"routes.txt" "route_long_name" "ŠVENČIONYS-ADUTIŠKIS-JAKELIAI-ADUTIŠKIS-ŠVENČIONYS" 1047
"routes.txt" "route_short_name" "50AB" 1058
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS" 1066
"routes.txt" "route_long_name" "JONAVA - PAGELEŽIAI" 1093
"routes.txt" "route_long_name" "JONAVA-KĖDAINIAI" 1142
"routes.txt" "route_short_name" "1_VLP" 1147
stop_too_far_from_shape WARNING 62

stop_too_far_from_shape

Stop too far from trip shape.

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

You can see more about this notice here.

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

tripCsvRowNumber (?) The row number of the faulty record from `trips.txt`. shapeId (?) The id of the shape that is referred to. tripId (?) The id of the trip that is referred to. stopTimeCsvRowNumber (?) The row number of the faulty record from `stop_times.txt`. stopId (?) The id of the stop that is referred to. stopName (?) The name of the stop that is referred to. match (?) Latitude and longitude pair of the location. geoDistanceToShape (?) Distance from stop to shape.
15750 "3636" "45756" 2988 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
15257 "3651" "45771" 3017 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
18014 "3653" "45773" 3018 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
15158 "43544" "8124133" 331405 "9340" "Mokykla" [55.512857000000004,26.315831] 134.01174852768767
15966 "43548" "8124139" 331443 "8484" "Mokykla" [55.513561,26.317414] 128.25393944619788
14771 "26974" "7317014" 34078 "14216" "Glaudžiai" [55.90637400000001,21.877556999999996] 1731.1842381583824
14771 "26974" "7317014" 34079 "10163" "Glaudžiai I" [55.90637400000001,21.877556999999996] 935.5388323636666
14771 "26974" "7317014" 34094 "19491" "Plungės autobusų stotis" [55.918779,21.851513000000004] 152.03315218543798
15176 "29329" "7418310" 41559 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
18834 "29328" "7418309" 41536 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
17500 "6003" "52856" 5942 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
19141 "6005" "52858" 5951 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
18287 "6004" "52857" 5947 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
14881 "6007" "52859" 5958 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
19469 "6008" "52860" 5963 "8356" "Plinkšės" [56.146646000000004,22.177096] 708.0755710896237
17164 "16822" "2392140" 20920 "8988" "Miškų urėdija" [56.223549,23.648672] 192.32046673726916
15792 "16821" "2392134" 20844 "8988" "Miškų urėdija" [56.223549,23.648672] 192.32046673726916
17951 "16823" "2392141" 20939 "15916" "Miškų urėdija" [56.223436,23.64902] 114.43864929834778
15805 "18654" "3218451" 23709 "67434" "Geluva" [55.249732,23.511073] 140.46827403515317
14974 "32206" "7476587" 47559 "48065" "Troškūnų g." [55.521214350005486,25.097709664383384] 523.8519190658676
14974 "32206" "7476587" 47560 "48066" "Geležinkelio stotis" [55.526276,25.103853] 785.72734673045
14974 "32206" "7476587" 47561 "48068" "Kalno parduotuvė" [55.526598,25.099623999999995] 574.8082135251354
14974 "32206" "7476587" 47564 "48071" "Pušyno mikrorajonas" [55.521132,25.115296] 658.3695095777266
14974 "32206" "7476587" 47569 "48070" "Žiburio g." [55.525912999999996,25.113931000000004] 146.43308427108235
19511 "3899" "46086" 3126 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
19291 "3014" "43694" 2151 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
10325 "37872" "61_49W" 68940 "91654" "Kūlokai" [54.450829999999996,23.395002] 3378.2526672161835
16087 "29420" "7429613" 42096 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
3947 "49117" "57_1172-20260204" 399899 "70878" "Šveicarija" [55.04546,24.25836] 149.18478145589043
18056 "4529" "46899" 3949 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
16434 "4527" "47691" 5138 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
20029 "4528" "47692" 5139 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
15911 "14622" "7150733" 33099 "14754" "Naiviai" [55.84397975379556,25.145549112350125] 765.6219655883444
18433 "2821" "45017" 2912 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
19970 "29615" "7432118" 42606 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
16649 "29616" "7432119" 42654 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
7668 "21886" "60_A2-02-1-241209-ba-2100" 65689 "5846" "Grūtas" [54.032271447911626,24.074587772943918] 103.01117636409927
7657 "21885" "60_A2-02-1-241209-ab-1210" 68303 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
12424 "21887" "60_A2-01-7-251110-ab3-1100" 332990 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
10683 "21891" "60_A2-02-1-241209-ab2-2020" 64148 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
11903 "21865" "60_A2-01-7-251110-b3a-1150" 334576 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
10703 "21872" "60_A2-02-1-241209-b2a-1940" 62723 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
17474 "3339" "46943" 3950 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
19381 "11705" "747606" 14888 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
18372 "6511" "54508" 8577 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
15616 "6509" "54501" 8511 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
19713 "6513" "54509" 8589 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
14945 "29093" "7413977" 39376 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
19804 "29092" "7413975" 39332 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
16714 "5232" "48165" 5385 "14684" "Lieplaukalė" [55.9354974471734,21.831098374058865] 152.04079667279404
stops_match_shape_out_of_order WARNING 12

stops_match_shape_out_of_order

Two stop entries are different than their arrival-departure order defined by shapes.txt.

This could indicate a problem with the location of the stops, the path of the shape, or the sequence of the stops for their trip.

You can see more about this notice here.

tripCsvRowNumber (?) The row number of the faulty record from `trips.txt`. shapeId (?) The id of the shape that is referred to. tripId (?) The id of the trip that is referred to. stopTimeCsvRowNumber1 (?) The row number of the first faulty record from `stop_times.txt`. stopId1 (?) The id of the first stop that is referred to. stopName1 (?) The name of the first stop that is referred to. match1 (?) Latitude and longitude pair of the first matching location. stopTimeCsvRowNumber2 (?) The row number of the second faulty record from `stop_times.txt`. stopId2 (?) The id of the second stop that is referred to. stopName2 (?) The name of the second stop that is referred to. match2 (?) Latitude and longitude pair of the second matching location.
17055 "3645" "57657" 10790 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 10789 "12152" "Jonaičiai" [55.34641499999999,21.570023]
17166 "3667" "57730" 10929 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 10928 "13926" "Jonaičiai" [55.346103,21.568929]
16604 "3714" "57736" 11003 "13926" "Jonaičiai" [55.346103,21.568929] 11002 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
17795 "13808" "1228372" 17002 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 17001 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
17428 "28435" "7339430" 36874 "64819" "Suostas" [56.32837413018391,24.713657886432735] 36873 "16112" "Svydžiai" [56.352930797976754,24.686322368913352]
15993 "28434" "7339429" 36850 "10057" "Svydžiai" [56.35334128457164,24.685572701413516] 36849 "64820" "Suostas" [56.32837775901334,24.713656830174433]
15255 "6591" "57635" 10450 "13926" "Jonaičiai" [55.346103,21.568929] 10449 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
17185 "3554" "57643" 10594 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 10593 "12152" "Jonaičiai" [55.34641499999999,21.570023]
19969 "29102" "7413991" 39456 "71231" "Žuvintai" [54.448579423202126,23.62330650767253] 39455 "71255" "Litvanciškai" [54.41436513808293,23.67340583550103]
16182 "40377" "8016002" 91540 "72301" "Kirlikai" [55.32834500402225,21.565359093761266] 91539 "97223" "Tarvydai I" [55.328604,21.56423]
19518 "40378" "8016003" 91549 "71683" "Tarvydai II" [55.31814711876975,21.598011981975805] 91548 "97223" "Tarvydai I" [55.328604,21.56423]
15714 "5353" "57623" 10312 "13926" "Jonaičiai" [55.346103,21.568929] 10311 "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