GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2026-03-31T06:07:04+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: 53
  • Blocks: 0
  • Routes: 1590
  • Shapes: 4006
  • Stops: 15353
  • Trips: 25919

Specification Compliance report

119527 notices reported (0 errors, 119494 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`.
252 "6209" 338 "18329" "M1" "Alytus - Geniai" 3 "48"
883 "16052" 1005 "6212" "M23" "Alytus - Punia - Butrimonys - Eigirdonys" 3 "48"
409 "3645" 1450 "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" 506515 29882.7 878 506514 29882.7 877 0.12791084993239907
"2328" 414218 35929.8 642 414217 35929.8 641 0.11119510090982554
"3659" 501565 49657.5 1177 501564 49657.5 1176 0.12791084993239907
"42205" 3474816 57850.1 335 3474815 57850.1 334 0.06178544815632574
"2369" 403022 63265.5 1261 403021 63265.5 1260 0.11119510090982554
"2385" 612479 69168.3 1771 612478 69168.3 1770 0.06441976500794575
"28733" 2378741 71509.2 1569 2378740 71509.2 1568 0.06441976500794575
"1919" 775070 136875.8 2842 775069 136875.8 2841 0.12752942403551987
"1919" 775073 136876.0 2845 775072 136876.0 2844 0.11119510090982554
"1919" 775080 136876.5 2852 775079 136876.5 2851 0.11119510232447394
"1919" 775083 136876.7 2855 775082 136876.7 2854 0.11119510161714974
"1919" 775086 136876.9 2858 775085 136876.9 2857 0.12752941555597483
"1919" 775095 136877.5 2867 775094 136877.5 2866 0.11119510090982554
"1919" 775098 136877.7 2870 775097 136877.7 2869 0.11119510161714974
"1919" 775101 136877.9 2873 775100 136877.9 2872 0.11119510090982554
"1919" 775108 136878.4 2880 775107 136878.4 2879 0.11119510090982554
"1919" 775111 136878.6 2883 775110 136878.6 2882 0.11119510161714974
"1919" 775120 136879.2 2892 775119 136879.2 2891 0.11119510090982554
"1919" 775123 136879.4 2895 775122 136879.4 2894 0.12752939825777979
"1919" 775126 136879.6 2898 775125 136879.6 2897 0.11119510161714974
"1919" 775135 136880.2 2907 775134 136880.2 2906 0.11119510161714974
"1919" 775139 136880.5 2911 775138 136880.5 2910 0.06244513630731429
"1919" 775145 136880.9 2917 775144 136880.9 2916 0.11119510161714974
"1919" 775148 136881.1 2920 775147 136881.1 2919 0.11119510090982554
"1919" 775151 136881.3 2923 775150 136881.3 2922 0.11119510090982554
"1919" 775160 136881.9 2932 775159 136881.9 2931 0.12752938095958766
"1919" 775163 136882.1 2935 775162 136882.1 2934 0.11119510161714974
"1919" 775174 136882.8 2946 775173 136882.8 2945 0.11119510161714974
"1919" 775179 136883.1 2951 775178 136883.1 2950 0.11119510161714974
"1919" 775187 136883.6 2959 775186 136883.6 2958 0.11119510090982554
"1919" 775192 136883.9 2964 775191 136883.9 2963 0.11119510090982554
"1919" 775205 136884.7 2977 775204 136884.7 2976 0.11119510161714974
"1919" 775207 136884.8 2979 775206 136884.8 2978 0.11119510090982554
"1919" 775210 136885.0 2982 775209 136885.0 2981 0.11119510161714974
"1919" 775218 136885.5 2990 775217 136885.5 2989 0.1275293557985862
"1919" 775220 136885.6 2992 775219 136885.6 2991 0.11119510161714974
"1919" 775223 136885.8 2995 775222 136885.8 2994 0.11119510090982554
"1919" 775225 136885.9 2997 775224 136885.9 2996 0.11119510232447394
"1919" 775231 136886.3 3003 775230 136886.3 3002 0.06244505260741443
"1919" 775236 136886.6 3008 775235 136886.6 3007 0.11119510161714974
"1919" 775238 136886.7 3010 775237 136886.7 3009 0.11119510090982554
"1919" 775241 136886.9 3013 775240 136886.9 3012 0.11119510090982554
"1919" 775243 136887.0 3015 775242 136887.0 3014 0.11119510090982554
"1919" 775249 136887.4 3021 775248 136887.4 3020 0.11119510090982554
"1919" 775251 136887.5 3023 775250 136887.5 3022 0.11119510161714974
"1919" 775254 136887.7 3026 775253 136887.7 3025 0.11119510090982554
"1919" 775256 136887.8 3028 775255 136887.8 3027 0.11119510161714974
"1919" 775267 136888.5 3039 775266 136888.5 3038 0.11119510161714974
"1919" 775269 136888.6 3041 775268 136888.6 3040 0.11119510090982554
"1919" 775272 136888.8 3044 775271 136888.8 3043 0.11119510090982554
equal_shape_distance_same_coordinates WARNING 14776

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 14776 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" 3223027 350.5 28 3223026 350.5 27
"43541" 3223038 811.7 39 3223037 811.7 38
"43541" 3223077 1779.8 78 3223076 1779.8 77
"43541" 3223121 3184.3 122 3223120 3184.3 121
"43541" 3223154 4418.1 155 3223153 4418.1 154
"43541" 3223170 4854.6 171 3223169 4854.6 170
"43541" 3223219 6561.9 220 3223218 6561.9 219
"43541" 3223255 7544.1 256 3223254 7544.1 255
"43541" 3223294 8757.6 295 3223293 8757.6 294
"43541" 3223311 9358.6 312 3223310 9358.6 311
"43541" 3223338 9709.1 339 3223337 9709.1 338
"43541" 3223384 10376.7 385 3223383 10376.7 384
"43541" 3223437 11116.1 438 3223436 11116.1 437
"43541" 3223468 11700.4 469 3223467 11700.4 468
"43541" 3223499 12284.8 500 3223498 12284.8 499
"43541" 3223760 14358.7 761 3223759 14358.7 760
"43541" 3223836 14706.8 837 3223835 14706.8 836
"43541" 3223936 15301.6 937 3223935 15301.6 936
"43541" 3224036 15896.4 1037 3224035 15896.4 1036
"43541" 3224112 16244.5 1113 3224111 16244.5 1112
"43541" 3224310 17133.2 1311 3224309 17133.2 1310
"43541" 3224553 18161.9 1554 3224552 18161.9 1553
"43541" 3224578 18472.3 1579 3224577 18472.3 1578
"43541" 3224628 18976.3 1629 3224627 18976.3 1628
"43541" 3224775 19673.4 1776 3224774 19673.4 1775
"43541" 3225004 21285.9 2005 3225003 21285.9 2004
"43541" 3225080 22756.6 2081 3225079 22756.6 2080
"43541" 3225156 24227.3 2157 3225155 24227.3 2156
"43541" 3225195 24719.6 2196 3225194 24719.6 2195
"43541" 3225212 25292.2 2213 3225211 25292.2 2212
"43541" 3225231 25625.9 2232 3225230 25625.9 2231
"43541" 3225319 26736.7 2320 3225318 26736.7 2319
"43541" 3225406 27236.5 2407 3225405 27236.5 2406
"43541" 3225455 28436.1 2456 3225454 28436.1 2455
"43541" 3225494 28928.5 2495 3225493 28928.5 2494
"43541" 3225545 29639.4 2546 3225544 29639.4 2545
"43541" 3225776 30811.2 2777 3225775 30811.2 2776
"43541" 3225852 31159.3 2853 3225851 31159.3 2852
"43541" 3225952 31754.1 2953 3225951 31754.1 2952
"43541" 3226052 32348.9 3053 3226051 32348.9 3052
"43541" 3226128 32697.0 3129 3226127 32697.0 3128
"43541" 3226326 33585.6 3327 3226325 33585.6 3326
"43541" 3226610 35228.5 3611 3226609 35228.5 3610
"43541" 3226663 35967.9 3664 3226662 35967.9 3663
"43541" 3226694 36552.2 3695 3226693 36552.2 3694
"43541" 3226725 37136.6 3726 3226724 37136.6 3725
"43531" 2248283 1036.1 44 2248282 1036.1 43
"43531" 2248312 1669.1 73 2248311 1669.1 72
"43531" 2248339 2285.2 100 2248338 2285.2 99
"43531" 2248380 4091.8 141 2248379 4091.8 140
expired_calendar WARNING 70

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 70 affected records are displayed below.

csvRowNumber (?) The row of the faulty record. serviceId (?) The service id of the faulty record.
6 "1076"
12311 "13743"
3059 "73341"
6060 "2499"
3009 "1256"
3005 "1271"
12276 "1294"
21324 "24601"
2 "1339"
6057 "2685"
21316 "12709"
9170 "1379"
12302 "2737"
15325 "2766"
9 "1461"
15338 "47502"
18298 "2814"
6861 "59417"
12306 "2849"
12307 "2852"
15327 "2850"
9185 "2980"
15326 "2975"
6058 "2974"
18297 "2972"
18147 "59976"
8609 "59978"
12322 "47985"
21310 "1954"
18306 "20239"
21319 "20237"
12349 "67236"
21318 "17222"
18304 "31530"
15333 "17343"
23 "43774"
21305 "678"
6262 "89537"
9377 "89536"
12275 "973"
54 "76307"
18346 "76308"
55 "76309"
21313 "3000"
6059 "3012"
21320 "13033"
3018 "13105"
15380 "76816"
12 "2009"
14 "2022"
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.
14497 "21_APNV_416-45-3-250526-ab-1310" "17272" 196.9887428340989 3.283145713901648 197145 17 "99227" "Krekenava" "14:03:00" 197146 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.
16 "2699" "7597196"
40 "2699" "7597144"
130 "2699" "7597177"
189 "2699" "7597202"
263 "2699" "7597125"
342 "2699" "7597210"
351 "2699" "7597201"
353 "2699" "7597172"
572 "2699" "7597155"
619 "2699" "7597146"
958 "2699" "7597188"
961 "2699" "7597203"
969 "2699" "7597157"
1099 "2699" "7597127"
1170 "2699" "7597166"
19808 "2699" "7597128"
19833 "2699" "7597164"
19843 "2699" "7597176"
19860 "2699" "7597137"
19920 "2699" "7597170"
19940 "2699" "7597186"
19967 "2699" "7597140"
20024 "2699" "7597191"
20029 "2699" "7597133"
20104 "2699" "7597147"
20187 "2699" "7597130"
20210 "2699" "7597181"
20243 "2699" "7597150"
20476 "2699" "7597159"
20568 "2699" "7597169"
20634 "2699" "7597158"
20690 "2699" "7597162"
20712 "2699" "7597185"
20721 "2699" "7597205"
20732 "2699" "7597145"
20872 "2699" "7597198"
21247 "2699" "7597184"
21325 "2699" "7597195"
21351 "2699" "7597171"
21414 "2699" "7597132"
21423 "2699" "7597154"
21529 "2699" "7597161"
21549 "2699" "7597151"
21559 "2699" "7597197"
21610 "2699" "7597199"
21771 "2699" "7597183"
21821 "2699" "7597148"
21859 "2699" "7597178"
21952 "2699" "7597200"
22030 "2699" "7597135"
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 304

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 304 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\"" 53
"routes.txt" "route_long_name" "ŠVENČIONYS-ŠUTONYS-ŠVENČIONYS" 66
"routes.txt" "route_short_name" "3_VLP" 109
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 114
"routes.txt" "route_long_name" "JONAVA-KĖDAINIAI" 115
"routes.txt" "route_long_name" "ŠVENČIONYS-PABRADĖ-VILNIUS-PABRADĖ-ŠVENČIONYS" 195
"routes.txt" "route_short_name" "5_VLP" 327
"routes.txt" "route_long_name" "RIMKAI-MAXIMA-ŠVEICARIJA" 330
"routes.txt" "route_long_name" "JONAVA-KUIGALIAI PER NAUJASODĮ" 331
"routes.txt" "route_long_name" "JONAVA-ŠĖTA" 332
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS, KANDRĖNUS, LAIČIUS" 382
"routes.txt" "route_long_name" "ŽELVA - PUSNĖ" 383
"routes.txt" "route_short_name" "40-DT" 396
"routes.txt" "route_short_name" "2_VLP" 492
"routes.txt" "route_long_name" "JONAVA-KAUNAS" 495
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-JUODMENA-RIMKAI" 496
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI" 497
"routes.txt" "route_long_name" "JONAVA-BUKONYS" 498
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI-BUKONYS-ŠILAI-JONAVA" 499
"routes.txt" "route_long_name" "JONAVA-ŽEIMIAI" 500
"routes.txt" "route_long_name" "JONAVA - PAGELEŽIAI" 501
"routes.txt" "route_short_name" "94AT" 597
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 622
"routes.txt" "route_short_name" "94-DC" 629
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER KANDRĖNUS, LAIČIUS" 630
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 664
"routes.txt" "route_long_name" "JONAVA-KULVA PER JUODMENĄ" 712
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 815
"routes.txt" "route_short_name" "70AC" 818
"routes.txt" "route_short_name" "4_VLP" 881
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 884
"routes.txt" "route_long_name" "ŠIRVINTOS - UKMERGĖ - ŠIRVINTOS" 984
"routes.txt" "route_long_name" "KUPIŠKIS - ANTAŠAVA" 1002
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 1009
"routes.txt" "route_short_name" "1A_VLP" 1098
"routes.txt" "route_long_name" "PASVALYS-ŽILPAMŪŠIS PER TETIRVINUS" 1191
"routes.txt" "route_long_name" "ŠVENČIONYS-ADUTIŠKIS-JAKELIAI-ADUTIŠKIS-ŠVENČIONYS" 1205
"routes.txt" "route_long_name" "KUPIŠKIS – PANEVĖŽYS" 1241
"routes.txt" "route_long_name" "KUPIŠKIS – ŠIMONYS PER MIGONIS" 1243
"routes.txt" "route_long_name" "ŽELVA - KIAUKLIAI" 1246
"routes.txt" "route_short_name" "50AB" 1265
"routes.txt" "route_short_name" "2A_VLP" 1290
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-GLOBOS NAMAI-RIMKAI" 1292
"routes.txt" "route_long_name" "JONAVA-UPININKAI" 1293
"routes.txt" "route_long_name" "JONAVA-JUŠKONYS" 1294
"routes.txt" "route_long_name" "JONAVA-PREIŠIOGALĖLĖ-ŽINĖNAI-JONAVA" 1295
"routes.txt" "route_long_name" "JONAVA-ŽINĖNAI-PREIŠIOGALĖLĖ-JONAVA" 1296
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS" 1347
"routes.txt" "route_long_name" "KUPIŠKIS – VAINIŪNIŠKIS (PER PALĖVENĖLĘ) – KUPIŠKIS" 1428
"routes.txt" "route_long_name" "KUPIŠKIS – SUBAČIAUS MST. PER LUKONIS" 1447
stop_too_far_from_shape WARNING 51

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 51 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.
22207 "3636" "45756" 2854 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
20985 "3651" "45771" 2883 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
21076 "3653" "45773" 2884 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
20967 "43544" "8124133" 288466 "9340" "Mokykla" [55.512857000000004,26.315831] 134.01174852768767
21344 "43548" "8124139" 288504 "8484" "Mokykla" [55.513561,26.317414] 128.25393944619788
51 "26974" "7317018" 39308 "14216" "Glaudžiai" [55.90637400000001,21.877556999999996] 1731.1842381583824
51 "26974" "7317018" 39309 "10163" "Glaudžiai I" [55.90637400000001,21.877556999999996] 935.5388323636666
51 "26974" "7317018" 39324 "19491" "Plungės autobusų stotis" [55.918779,21.851513000000004] 152.03315218543798
21016 "16822" "2392138" 25140 "8988" "Miškų urėdija" [56.223549,23.648672] 192.32046673726916
284 "16821" "2392135" 25110 "8988" "Miškų urėdija" [56.223549,23.648672] 192.32046673726916
20696 "16823" "2392141" 25195 "15916" "Miškų urėdija" [56.223436,23.64902] 114.43864929834778
23400 "18654" "3218451" 28351 "67434" "Geluva" [55.249732,23.511073] 140.46827403515317
548 "32206" "7476585" 50780 "48065" "Troškūnų g." [55.521214350005486,25.097709664383384] 523.8519190658676
548 "32206" "7476585" 50781 "48066" "Geležinkelio stotis" [55.526276,25.103853] 785.72734673045
548 "32206" "7476585" 50782 "48068" "Kalno parduotuvė" [55.526598,25.099623999999995] 574.8082135251354
548 "32206" "7476585" 50785 "48071" "Pušyno mikrorajonas" [55.521132,25.115296] 658.3695095777266
548 "32206" "7476585" 50790 "48070" "Žiburio g." [55.525912999999996,25.113931000000004] 146.43308427108235
23892 "3899" "46086" 2992 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
23470 "3014" "43694" 2017 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
21386 "29420" "7429613" 45451 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
24000 "4529" "46899" 3928 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
98 "4527" "47691" 5442 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
23700 "4528" "47692" 5443 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
233 "14622" "7150732" 38141 "14754" "Naiviai" [55.84397975379556,25.145549112350125] 765.6219655883444
24469 "2821" "45017" 2778 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
20779 "29615" "7432118" 45859 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
20046 "29616" "7432119" 45907 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
5680 "21886" "60_A2-02-1-241209-ba-0720" 76949 "5846" "Grūtas" [54.032271447911626,24.074587772943918] 103.01117636409927
1320 "21885" "60_A2-01-7-251110-ab-0840" 290029 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
15850 "21887" "60_A2-01-7-251110-ab3-1430" 289399 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
1831 "21891" "60_A2-01-6-251110-ab2-0740" 291461 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
1312 "21865" "60_A2-01-7-251110-b3a-0920" 289196 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
1327 "21872" "60_A2-01-7-251110-b2a-0810" 289251 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
22976 "3339" "46943" 3929 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
751 "4710" "47249" 4660 "4945" "Onuškis" [54.48374200000001,24.591959000000003] 103.16686496628398
396 "4711" "47251" 4673 "4945" "Onuškis" [54.48374200000001,24.591959000000003] 103.16686496628398
22456 "11705" "747606" 18268 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
21635 "6511" "54507" 10612 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
21389 "6509" "54502" 10573 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
24324 "6513" "54509" 10636 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
264 "29093" "7413976" 43016 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
23312 "29092" "7413975" 42986 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
20136 "5232" "48165" 5817 "14684" "Lieplaukalė" [55.9354974471734,21.831098374058865] 152.04079667279404
20819 "44681" "8136900" 302132 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
23577 "3514" "45563" 2801 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
22752 "3537" "45591" 2826 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
20117 "17131" "2515700" 25592 "16347" "Sudervė" [54.761036,25.063001999999997] 2603.225038082936
23075 "3574" "45644" 2827 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
21456 "3617" "45754" 2853 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
21913 "15331" "2211798" 22384 "6964" "Mikieriai" [55.66300100000001,25.169295] 153.6142678364674
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.
20516 "3645" "57657" 14619 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14618 "12152" "Jonaičiai" [55.34641499999999,21.570023]
22346 "3667" "57730" 14758 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14757 "13926" "Jonaičiai" [55.346103,21.568929]
500 "3714" "57736" 14832 "13926" "Jonaičiai" [55.346103,21.568929] 14831 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
20630 "13808" "1228372" 21052 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 21051 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
474 "26489" "7231018" 38734 "10486" "Kuršų m-la" [55.853816990580704,22.40675061105697] 38733 "7720" "Baltininkai" [55.85382305337965,22.406770171019815]
563 "35668" "7652364" 62459 "20855" "Kontariškiai" [56.04984708813942,24.383280063416947] 62458 "20829" "Smegduobių parkas" [56.056377166218944,24.39590345350891]
22826 "28435" "7339430" 40680 "64819" "Suostas" [56.32837413018391,24.713657886432735] 40679 "16112" "Svydžiai" [56.352930797976754,24.686322368913352]
210 "28434" "7339429" 40656 "10057" "Svydžiai" [56.35334128457164,24.685572701413516] 40655 "64820" "Suostas" [56.32837775901334,24.713656830174433]
492 "6591" "57636" 14295 "13926" "Jonaičiai" [55.346103,21.568929] 14294 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
22365 "3554" "57643" 14423 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14422 "12152" "Jonaičiai" [55.34641499999999,21.570023]
20778 "29102" "7413991" 43110 "71231" "Žuvintai" [54.448579423202126,23.62330650767253] 43109 "71255" "Litvanciškai" [54.41436513808293,23.67340583550103]
329 "40377" "8016002" 108763 "72301" "Kirlikai" [55.32834500402225,21.565359093761266] 108762 "97223" "Tarvydai I" [55.328604,21.56423]
23898 "40378" "8016003" 108772 "71683" "Tarvydai II" [55.31814711876975,21.598011981975805] 108771 "97223" "Tarvydai I" [55.328604,21.56423]
1159 "5353" "57623" 14141 "13926" "Jonaičiai" [55.346103,21.568929] 14140 "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