GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2026-03-29T06:10:01+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: 1565
  • Shapes: 3933
  • Stops: 14879
  • Trips: 21987

Specification Compliance report

119905 notices reported (0 errors, 119872 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`.
254 "6209" 353 "18329" "M1" "Alytus - Geniai" 3 "48"
923 "16052" 964 "6212" "M23" "Alytus - Punia - Butrimonys - Eigirdonys" 3 "48"
160 "20364" 1333 "20365" "M-152" "Kauno g.-Poliklinika-Birštono seniūnija" 3 "58"
451 "3645" 1384 "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" 505328 29882.7 878 505327 29882.7 877 0.12791084993239907
"2328" 413031 35929.8 642 413030 35929.8 641 0.11119510090982554
"3659" 500378 49657.5 1177 500377 49657.5 1176 0.12791084993239907
"42205" 3478312 57850.1 335 3478311 57850.1 334 0.06178544815632574
"2369" 401835 63265.5 1261 401834 63265.5 1260 0.11119510090982554
"2385" 611292 69168.3 1771 611291 69168.3 1770 0.06441976500794575
"28733" 2391540 71509.2 1569 2391539 71509.2 1568 0.06441976500794575
"1919" 774022 136875.8 2842 774021 136875.8 2841 0.12752942403551987
"1919" 774025 136876.0 2845 774024 136876.0 2844 0.11119510090982554
"1919" 774032 136876.5 2852 774031 136876.5 2851 0.11119510232447394
"1919" 774035 136876.7 2855 774034 136876.7 2854 0.11119510161714974
"1919" 774038 136876.9 2858 774037 136876.9 2857 0.12752941555597483
"1919" 774047 136877.5 2867 774046 136877.5 2866 0.11119510090982554
"1919" 774050 136877.7 2870 774049 136877.7 2869 0.11119510161714974
"1919" 774053 136877.9 2873 774052 136877.9 2872 0.11119510090982554
"1919" 774060 136878.4 2880 774059 136878.4 2879 0.11119510090982554
"1919" 774063 136878.6 2883 774062 136878.6 2882 0.11119510161714974
"1919" 774072 136879.2 2892 774071 136879.2 2891 0.11119510090982554
"1919" 774075 136879.4 2895 774074 136879.4 2894 0.12752939825777979
"1919" 774078 136879.6 2898 774077 136879.6 2897 0.11119510161714974
"1919" 774087 136880.2 2907 774086 136880.2 2906 0.11119510161714974
"1919" 774091 136880.5 2911 774090 136880.5 2910 0.06244513630731429
"1919" 774097 136880.9 2917 774096 136880.9 2916 0.11119510161714974
"1919" 774100 136881.1 2920 774099 136881.1 2919 0.11119510090982554
"1919" 774103 136881.3 2923 774102 136881.3 2922 0.11119510090982554
"1919" 774112 136881.9 2932 774111 136881.9 2931 0.12752938095958766
"1919" 774115 136882.1 2935 774114 136882.1 2934 0.11119510161714974
"1919" 774126 136882.8 2946 774125 136882.8 2945 0.11119510161714974
"1919" 774131 136883.1 2951 774130 136883.1 2950 0.11119510161714974
"1919" 774139 136883.6 2959 774138 136883.6 2958 0.11119510090982554
"1919" 774144 136883.9 2964 774143 136883.9 2963 0.11119510090982554
"1919" 774157 136884.7 2977 774156 136884.7 2976 0.11119510161714974
"1919" 774159 136884.8 2979 774158 136884.8 2978 0.11119510090982554
"1919" 774162 136885.0 2982 774161 136885.0 2981 0.11119510161714974
"1919" 774170 136885.5 2990 774169 136885.5 2989 0.1275293557985862
"1919" 774172 136885.6 2992 774171 136885.6 2991 0.11119510161714974
"1919" 774175 136885.8 2995 774174 136885.8 2994 0.11119510090982554
"1919" 774177 136885.9 2997 774176 136885.9 2996 0.11119510232447394
"1919" 774183 136886.3 3003 774182 136886.3 3002 0.06244505260741443
"1919" 774188 136886.6 3008 774187 136886.6 3007 0.11119510161714974
"1919" 774190 136886.7 3010 774189 136886.7 3009 0.11119510090982554
"1919" 774193 136886.9 3013 774192 136886.9 3012 0.11119510090982554
"1919" 774195 136887.0 3015 774194 136887.0 3014 0.11119510090982554
"1919" 774201 136887.4 3021 774200 136887.4 3020 0.11119510090982554
"1919" 774203 136887.5 3023 774202 136887.5 3022 0.11119510161714974
"1919" 774206 136887.7 3026 774205 136887.7 3025 0.11119510090982554
"1919" 774208 136887.8 3028 774207 136887.8 3027 0.11119510161714974
"1919" 774219 136888.5 3039 774218 136888.5 3038 0.11119510161714974
"1919" 774221 136888.6 3041 774220 136888.6 3040 0.11119510090982554
"1919" 774224 136888.8 3044 774223 136888.8 3043 0.11119510090982554
equal_shape_distance_same_coordinates WARNING 15117

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 15117 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" 3229087 350.5 28 3229086 350.5 27
"43541" 3229098 811.7 39 3229097 811.7 38
"43541" 3229137 1779.8 78 3229136 1779.8 77
"43541" 3229181 3184.3 122 3229180 3184.3 121
"43541" 3229214 4418.1 155 3229213 4418.1 154
"43541" 3229230 4854.6 171 3229229 4854.6 170
"43541" 3229279 6561.9 220 3229278 6561.9 219
"43541" 3229315 7544.1 256 3229314 7544.1 255
"43541" 3229354 8757.6 295 3229353 8757.6 294
"43541" 3229371 9358.6 312 3229370 9358.6 311
"43541" 3229398 9709.1 339 3229397 9709.1 338
"43541" 3229444 10376.7 385 3229443 10376.7 384
"43541" 3229497 11116.1 438 3229496 11116.1 437
"43541" 3229528 11700.4 469 3229527 11700.4 468
"43541" 3229559 12284.8 500 3229558 12284.8 499
"43541" 3229820 14358.7 761 3229819 14358.7 760
"43541" 3229896 14706.8 837 3229895 14706.8 836
"43541" 3229996 15301.6 937 3229995 15301.6 936
"43541" 3230096 15896.4 1037 3230095 15896.4 1036
"43541" 3230172 16244.5 1113 3230171 16244.5 1112
"43541" 3230370 17133.2 1311 3230369 17133.2 1310
"43541" 3230613 18161.9 1554 3230612 18161.9 1553
"43541" 3230638 18472.3 1579 3230637 18472.3 1578
"43541" 3230688 18976.3 1629 3230687 18976.3 1628
"43541" 3230835 19673.4 1776 3230834 19673.4 1775
"43541" 3231064 21285.9 2005 3231063 21285.9 2004
"43541" 3231140 22756.6 2081 3231139 22756.6 2080
"43541" 3231216 24227.3 2157 3231215 24227.3 2156
"43541" 3231255 24719.6 2196 3231254 24719.6 2195
"43541" 3231272 25292.2 2213 3231271 25292.2 2212
"43541" 3231291 25625.9 2232 3231290 25625.9 2231
"43541" 3231379 26736.7 2320 3231378 26736.7 2319
"43541" 3231466 27236.5 2407 3231465 27236.5 2406
"43541" 3231515 28436.1 2456 3231514 28436.1 2455
"43541" 3231554 28928.5 2495 3231553 28928.5 2494
"43541" 3231605 29639.4 2546 3231604 29639.4 2545
"43541" 3231836 30811.2 2777 3231835 30811.2 2776
"43541" 3231912 31159.3 2853 3231911 31159.3 2852
"43541" 3232012 31754.1 2953 3232011 31754.1 2952
"43541" 3232112 32348.9 3053 3232111 32348.9 3052
"43541" 3232188 32697.0 3129 3232187 32697.0 3128
"43541" 3232386 33585.6 3327 3232385 33585.6 3326
"43541" 3232670 35228.5 3611 3232669 35228.5 3610
"43541" 3232723 35967.9 3664 3232722 35967.9 3663
"43541" 3232754 36552.2 3695 3232753 36552.2 3694
"43541" 3232785 37136.6 3726 3232784 37136.6 3725
"43531" 2260731 1036.1 44 2260730 1036.1 43
"43531" 2260760 1669.1 73 2260759 1669.1 72
"43531" 2260787 2285.2 100 2260786 2285.2 99
"43531" 2260828 4091.8 141 2260827 4091.8 140
expired_calendar WARNING 107

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 107 affected records are displayed below.

csvRowNumber (?) The row of the faulty record. serviceId (?) The service id of the faulty record.
6 "1076"
12140 "13743"
14475 "87943"
3007 "73341"
5981 "2499"
6123 "59136"
2964 "1256"
2960 "1271"
12105 "1294"
21077 "24601"
21071 "24602"
2 "1339"
5978 "2685"
21068 "12709"
9037 "1379"
12131 "2737"
15122 "2766"
9 "1461"
15135 "47502"
18077 "2814"
12135 "2849"
12136 "2852"
15124 "2850"
9052 "2980"
15123 "2975"
5979 "2974"
18076 "2972"
22251 "84771"
12151 "47985"
9213 "69280"
12311 "69283"
21062 "1954"
3877 "84845"
15300 "69237"
158 "69236"
12304 "69232"
9207 "69231"
12305 "69248"
21249 "69240"
15303 "69244"
18243 "69268"
12308 "69260"
9210 "69266"
9209 "69264"
15306 "69273"
12310 "69277"
6142 "69274"
2460 "83733"
4814 "83676"
18085 "20239"
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.
20635 "21_APNV_416-45-3-250526-ab-1310" "17272" 196.9887428340989 3.283145713901648 181661 17 "99227" "Krekenava" "14:03:00" 181662 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.
8 "2699" "7597125"
90 "2699" "7597210"
99 "2699" "7597201"
101 "2699" "7597172"
146 "2699" "7597164"
159 "2699" "7597176"
176 "2699" "7597137"
232 "2699" "7597170"
271 "2699" "7597140"
318 "2699" "7597144"
556 "2699" "7597155"
605 "2699" "7597146"
941 "2699" "7597188"
944 "2699" "7597203"
952 "2699" "7597157"
1083 "2699" "7597127"
1155 "2699" "7597166"
1214 "2699" "7597177"
1269 "2699" "7597202"
1348 "2699" "7597208"
1392 "2699" "7597187"
1432 "2699" "7597156"
1455 "2699" "7597209"
1493 "2699" "7597189"
1511 "2699" "7597195"
1537 "2699" "7597171"
1600 "2699" "7597132"
1724 "2699" "7597196"
2050 "2699" "7597174"
2060 "2699" "7597139"
2140 "2699" "7597169"
2214 "2699" "7597183"
2264 "2699" "7597148"
2300 "2699" "7597194"
2312 "2699" "7597131"
2330 "2699" "7597163"
2418 "2699" "7597212"
2746 "2699" "7597136"
2786 "2699" "7597211"
2970 "2699" "7597141"
2998 "2699" "7597182"
3096 "2699" "7597126"
3132 "2699" "7597138"
3315 "2699" "7597161"
3335 "2699" "7597151"
3345 "2699" "7597197"
3396 "2699" "7597199"
3431 "2699" "7597200"
3509 "2699" "7597135"
3514 "2699" "7597165"
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 302

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 302 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_long_name" "ŠVENČIONYS-ŠUTONYS-ŠVENČIONYS" 69
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 156
"routes.txt" "route_long_name" "JONAVA-KĖDAINIAI" 157
"routes.txt" "route_short_name" "3_VLP" 180
"routes.txt" "route_long_name" "ŠVENČIONYS-PABRADĖ-VILNIUS-PABRADĖ-ŠVENČIONYS" 221
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS, KANDRĖNUS, LAIČIUS" 316
"routes.txt" "route_long_name" "ŽELVA - PUSNĖ" 332
"routes.txt" "route_long_name" "JONAVA-ŠĖTA" 357
"routes.txt" "route_long_name" "RIMKAI-MAXIMA-ŠVEICARIJA" 358
"routes.txt" "route_long_name" "JONAVA-KUIGALIAI PER NAUJASODĮ" 360
"routes.txt" "route_short_name" "5_VLP" 384
"routes.txt" "route_short_name" "40-DT" 390
"routes.txt" "route_short_name" "94AT" 534
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-JUODMENA-RIMKAI" 563
"routes.txt" "route_long_name" "JONAVA-KAUNAS" 564
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI" 565
"routes.txt" "route_long_name" "JONAVA-ŽEIMIAI" 566
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI-BUKONYS-ŠILAI-JONAVA" 567
"routes.txt" "route_long_name" "JONAVA - PAGELEŽIAI" 568
"routes.txt" "route_long_name" "JONAVA-BUKONYS" 569
"routes.txt" "route_short_name" "2_VLP" 581
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 595
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 645
"routes.txt" "route_short_name" "94-DC" 666
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER KANDRĖNUS, LAIČIUS" 667
"routes.txt" "route_long_name" "JONAVA-KULVA PER JUODMENĄ" 737
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 801
"routes.txt" "route_short_name" "70AC" 804
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 921
"routes.txt" "route_short_name" "4_VLP" 943
"routes.txt" "route_long_name" "KUPIŠKIS - ANTAŠAVA" 961
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 971
"routes.txt" "route_long_name" "ŠIRVINTOS - UKMERGĖ - ŠIRVINTOS" 999
"routes.txt" "route_short_name" "1A_VLP" 1150
"routes.txt" "route_long_name" "ŠVENČIONYS-ADUTIŠKIS-JAKELIAI-ADUTIŠKIS-ŠVENČIONYS" 1163
"routes.txt" "route_long_name" "KUPIŠKIS – ŠIMONYS PER MIGONIS" 1179
"routes.txt" "route_long_name" "PASVALYS-ŽILPAMŪŠIS PER TETIRVINUS" 1187
"routes.txt" "route_long_name" "KUPIŠKIS – PANEVĖŽYS" 1209
"routes.txt" "route_long_name" "ŽELVA - KIAUKLIAI" 1215
"routes.txt" "route_short_name" "50AB" 1234
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS" 1248
"routes.txt" "route_long_name" "JONAVA-JUŠKONYS" 1329
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-GLOBOS NAMAI-RIMKAI" 1330
"routes.txt" "route_long_name" "JONAVA-ŽINĖNAI-PREIŠIOGALĖLĖ-JONAVA" 1331
"routes.txt" "route_long_name" "JONAVA-UPININKAI" 1332
"routes.txt" "route_long_name" "JONAVA-PREIŠIOGALĖLĖ-ŽINĖNAI-JONAVA" 1335
"routes.txt" "route_short_name" "2A_VLP" 1349
"routes.txt" "route_long_name" "KUPIŠKIS – ALIZAVA PER PALĖVENĖLĘ – KUPIŠKIS" 1390
"routes.txt" "route_long_name" "PASVALYS-GULBINĖNAI PER KRINČINĄ" 1394
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.
1373 "3636" "45756" 2854 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
2552 "3651" "45771" 2883 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
21640 "3653" "45773" 2884 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
2534 "43544" "8124133" 298913 "9340" "Mokykla" [55.512857000000004,26.315831] 134.01174852768767
1530 "43548" "8124139" 298951 "8484" "Mokykla" [55.513561,26.317414] 128.25393944619788
329 "26974" "7317018" 39308 "14216" "Glaudžiai" [55.90637400000001,21.877556999999996] 1731.1842381583824
329 "26974" "7317018" 39309 "10163" "Glaudžiai I" [55.90637400000001,21.877556999999996] 935.5388323636666
329 "26974" "7317018" 39324 "19491" "Plungės autobusų stotis" [55.918779,21.851513000000004] 152.03315218543798
2179 "16822" "2392139" 25158 "8988" "Miškų urėdija" [56.223549,23.648672] 192.32046673726916
30 "16821" "2392135" 25110 "8988" "Miškų urėdija" [56.223549,23.648672] 192.32046673726916
4263 "16823" "2392142" 25215 "15916" "Miškų urėdija" [56.223436,23.64902] 114.43864929834778
1439 "18654" "3218451" 28351 "67434" "Geluva" [55.249732,23.511073] 140.46827403515317
532 "32206" "7476585" 50812 "48065" "Troškūnų g." [55.521214350005486,25.097709664383384] 523.8519190658676
532 "32206" "7476585" 50813 "48066" "Geležinkelio stotis" [55.526276,25.103853] 785.72734673045
532 "32206" "7476585" 50814 "48068" "Kalno parduotuvė" [55.526598,25.099623999999995] 574.8082135251354
532 "32206" "7476585" 50817 "48071" "Pušyno mikrorajonas" [55.521132,25.115296] 658.3695095777266
532 "32206" "7476585" 50822 "48070" "Žiburio g." [55.525912999999996,25.113931000000004] 146.43308427108235
21127 "3899" "46086" 2992 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
20591 "3014" "43694" 2017 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
10797 "37872" "61_49W" 77734 "91654" "Kūlokai" [54.450829999999996,23.395002] 3378.2526672161835
1572 "29420" "7429613" 45483 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
3956 "4529" "46899" 3928 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
377 "4527" "47691" 5442 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
1908 "4528" "47692" 5443 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
1317 "14622" "7150732" 38141 "14754" "Naiviai" [55.84397975379556,25.145549112350125] 765.6219655883444
4123 "2821" "45017" 2778 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
21001 "29615" "7432118" 45891 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
8036 "29616" "7432119" 45939 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
10789 "21886" "60_A2-02-1-241209-ba-1520" 71910 "5846" "Grūtas" [54.032271447911626,24.074587772943918] 103.01117636409927
12094 "21885" "60_A2-01-6-251110-ab-0900" 300456 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
12101 "21887" "60_A2-01-7-251110-ab3-1430" 299702 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
11029 "21891" "60_A2-02-1-241209-ab2-2020" 72942 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
12699 "21865" "60_A2-01-7-251110-b3a-0920" 299499 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
4767 "21872" "60_A2-01-7-251110-b2a-1520" 301562 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
2294 "3339" "46943" 3929 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
735 "4710" "47249" 4660 "4945" "Onuškis" [54.48374200000001,24.591959000000003] 103.16686496628398
141 "4711" "47251" 4673 "4945" "Onuškis" [54.48374200000001,24.591959000000003] 103.16686496628398
3069 "11705" "747606" 18268 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
2855 "6511" "54507" 10612 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
1575 "6509" "54502" 10573 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
20812 "6513" "54509" 10636 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
10 "29093" "7413976" 43028 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
1828 "29092" "7413975" 42998 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
2911 "5232" "56646" 12604 "14684" "Lieplaukalė" [55.9354974471734,21.831098374058865] 152.04079667279404
2596 "44681" "8136902" 304821 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
3832 "3514" "45563" 2801 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
3618 "3537" "45591" 2826 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
4142 "17131" "2515701" 25618 "16347" "Sudervė" [54.761036,25.063001999999997] 2603.225038082936
20431 "3574" "45644" 2827 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
21724 "3617" "45754" 2853 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
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.
2088 "3645" "57657" 14619 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14618 "12152" "Jonaičiai" [55.34641499999999,21.570023]
3520 "3667" "57730" 14758 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14757 "13926" "Jonaičiai" [55.346103,21.568929]
485 "3714" "57736" 14832 "13926" "Jonaičiai" [55.346103,21.568929] 14831 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
21444 "13808" "1228372" 21052 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 21051 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
456 "26489" "7231018" 38734 "10486" "Kuršų m-la" [55.853816990580704,22.40675061105697] 38733 "7720" "Baltininkai" [55.85382305337965,22.406770171019815]
547 "35668" "7652364" 62493 "20855" "Kontariškiai" [56.04984708813942,24.383280063416947] 62492 "20829" "Smegduobių parkas" [56.056377166218944,24.39590345350891]
3692 "28435" "7339430" 40680 "64819" "Suostas" [56.32837413018391,24.713657886432735] 40679 "16112" "Svydžiai" [56.352930797976754,24.686322368913352]
1294 "28434" "7339429" 40656 "10057" "Svydžiai" [56.35334128457164,24.685572701413516] 40655 "64820" "Suostas" [56.32837775901334,24.713656830174433]
477 "6591" "57636" 14295 "13926" "Jonaičiai" [55.346103,21.568929] 14294 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
3156 "3554" "57639" 14335 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14334 "12152" "Jonaičiai" [55.34641499999999,21.570023]
21000 "29102" "7413991" 43122 "71231" "Žuvintai" [54.448579423202126,23.62330650767253] 43121 "71255" "Litvanciškai" [54.41436513808293,23.67340583550103]
77 "40377" "8016002" 97948 "72301" "Kirlikai" [55.32834500402225,21.565359093761266] 97947 "97223" "Tarvydai I" [55.328604,21.56423]
21133 "40378" "8016003" 97957 "71683" "Tarvydai II" [55.31814711876975,21.598011981975805] 97956 "97223" "Tarvydai I" [55.328604,21.56423]
1144 "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