GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2026-02-17T12:04:26+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: 48
  • Blocks: 0
  • Routes: 1376
  • Shapes: 3568
  • Stops: 13679
  • Trips: 21687

Specification Compliance report

118724 notices reported (0 errors, 118691 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`.
197 "18329" 286 "6209" "M1" "Alytus - Geniai" 3 "48"
843 "16052" 918 "6212" "M23" "Alytus - Punia - Butrimonys - Eigirdonys" 3 "48"
860 "19232" 1210 "19162" "M-152" "Kauno g.-Poliklinika-Birštono seniūnija" 3 "58"
392 "3645" 1274 "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" 501016 29882.7 878 501015 29882.7 877 0.12791084993239907
"2328" 405834 35929.8 642 405833 35929.8 641 0.11119510090982554
"3659" 496066 49657.5 1177 496065 49657.5 1176 0.12791084993239907
"42205" 3340223 57850.1 335 3340222 57850.1 334 0.06178544815632574
"2369" 391083 63265.5 1261 391082 63265.5 1260 0.11119510090982554
"2385" 606088 69168.3 1771 606087 69168.3 1770 0.06441976500794575
"28733" 2340331 71509.2 1569 2340330 71509.2 1568 0.06441976500794575
"1919" 771953 136875.8 2842 771952 136875.8 2841 0.12752942403551987
"1919" 771956 136876.0 2845 771955 136876.0 2844 0.11119510090982554
"1919" 771963 136876.5 2852 771962 136876.5 2851 0.11119510232447394
"1919" 771966 136876.7 2855 771965 136876.7 2854 0.11119510161714974
"1919" 771969 136876.9 2858 771968 136876.9 2857 0.12752941555597483
"1919" 771978 136877.5 2867 771977 136877.5 2866 0.11119510090982554
"1919" 771981 136877.7 2870 771980 136877.7 2869 0.11119510161714974
"1919" 771984 136877.9 2873 771983 136877.9 2872 0.11119510090982554
"1919" 771991 136878.4 2880 771990 136878.4 2879 0.11119510090982554
"1919" 771994 136878.6 2883 771993 136878.6 2882 0.11119510161714974
"1919" 772003 136879.2 2892 772002 136879.2 2891 0.11119510090982554
"1919" 772006 136879.4 2895 772005 136879.4 2894 0.12752939825777979
"1919" 772009 136879.6 2898 772008 136879.6 2897 0.11119510161714974
"1919" 772018 136880.2 2907 772017 136880.2 2906 0.11119510161714974
"1919" 772022 136880.5 2911 772021 136880.5 2910 0.06244513630731429
"1919" 772028 136880.9 2917 772027 136880.9 2916 0.11119510161714974
"1919" 772031 136881.1 2920 772030 136881.1 2919 0.11119510090982554
"1919" 772034 136881.3 2923 772033 136881.3 2922 0.11119510090982554
"1919" 772043 136881.9 2932 772042 136881.9 2931 0.12752938095958766
"1919" 772046 136882.1 2935 772045 136882.1 2934 0.11119510161714974
"1919" 772057 136882.8 2946 772056 136882.8 2945 0.11119510161714974
"1919" 772062 136883.1 2951 772061 136883.1 2950 0.11119510161714974
"1919" 772070 136883.6 2959 772069 136883.6 2958 0.11119510090982554
"1919" 772075 136883.9 2964 772074 136883.9 2963 0.11119510090982554
"1919" 772088 136884.7 2977 772087 136884.7 2976 0.11119510161714974
"1919" 772090 136884.8 2979 772089 136884.8 2978 0.11119510090982554
"1919" 772093 136885.0 2982 772092 136885.0 2981 0.11119510161714974
"1919" 772101 136885.5 2990 772100 136885.5 2989 0.1275293557985862
"1919" 772103 136885.6 2992 772102 136885.6 2991 0.11119510161714974
"1919" 772106 136885.8 2995 772105 136885.8 2994 0.11119510090982554
"1919" 772108 136885.9 2997 772107 136885.9 2996 0.11119510232447394
"1919" 772114 136886.3 3003 772113 136886.3 3002 0.06244505260741443
"1919" 772119 136886.6 3008 772118 136886.6 3007 0.11119510161714974
"1919" 772121 136886.7 3010 772120 136886.7 3009 0.11119510090982554
"1919" 772124 136886.9 3013 772123 136886.9 3012 0.11119510090982554
"1919" 772126 136887.0 3015 772125 136887.0 3014 0.11119510090982554
"1919" 772132 136887.4 3021 772131 136887.4 3020 0.11119510090982554
"1919" 772134 136887.5 3023 772133 136887.5 3022 0.11119510161714974
"1919" 772137 136887.7 3026 772136 136887.7 3025 0.11119510090982554
"1919" 772139 136887.8 3028 772138 136887.8 3027 0.11119510161714974
"1919" 772150 136888.5 3039 772149 136888.5 3038 0.11119510161714974
"1919" 772152 136888.6 3041 772151 136888.6 3040 0.11119510090982554
"1919" 772155 136888.8 3044 772154 136888.8 3043 0.11119510090982554
equal_shape_distance_same_coordinates WARNING 13281

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 13281 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" 3086823 350.5 28 3086822 350.5 27
"43541" 3086834 811.7 39 3086833 811.7 38
"43541" 3086873 1779.8 78 3086872 1779.8 77
"43541" 3086917 3184.3 122 3086916 3184.3 121
"43541" 3086950 4418.1 155 3086949 4418.1 154
"43541" 3086966 4854.6 171 3086965 4854.6 170
"43541" 3087015 6561.9 220 3087014 6561.9 219
"43541" 3087051 7544.1 256 3087050 7544.1 255
"43541" 3087090 8757.6 295 3087089 8757.6 294
"43541" 3087107 9358.6 312 3087106 9358.6 311
"43541" 3087134 9709.1 339 3087133 9709.1 338
"43541" 3087180 10376.7 385 3087179 10376.7 384
"43541" 3087233 11116.1 438 3087232 11116.1 437
"43541" 3087264 11700.4 469 3087263 11700.4 468
"43541" 3087295 12284.8 500 3087294 12284.8 499
"43541" 3087556 14358.7 761 3087555 14358.7 760
"43541" 3087632 14706.8 837 3087631 14706.8 836
"43541" 3087732 15301.6 937 3087731 15301.6 936
"43541" 3087832 15896.4 1037 3087831 15896.4 1036
"43541" 3087908 16244.5 1113 3087907 16244.5 1112
"43541" 3088106 17133.2 1311 3088105 17133.2 1310
"43541" 3088349 18161.9 1554 3088348 18161.9 1553
"43541" 3088374 18472.3 1579 3088373 18472.3 1578
"43541" 3088424 18976.3 1629 3088423 18976.3 1628
"43541" 3088571 19673.4 1776 3088570 19673.4 1775
"43541" 3088800 21285.9 2005 3088799 21285.9 2004
"43541" 3088876 22756.6 2081 3088875 22756.6 2080
"43541" 3088952 24227.3 2157 3088951 24227.3 2156
"43541" 3088991 24719.6 2196 3088990 24719.6 2195
"43541" 3089008 25292.2 2213 3089007 25292.2 2212
"43541" 3089027 25625.9 2232 3089026 25625.9 2231
"43541" 3089115 26736.7 2320 3089114 26736.7 2319
"43541" 3089202 27236.5 2407 3089201 27236.5 2406
"43541" 3089251 28436.1 2456 3089250 28436.1 2455
"43541" 3089290 28928.5 2495 3089289 28928.5 2494
"43541" 3089341 29639.4 2546 3089340 29639.4 2545
"43541" 3089572 30811.2 2777 3089571 30811.2 2776
"43541" 3089648 31159.3 2853 3089647 31159.3 2852
"43541" 3089748 31754.1 2953 3089747 31754.1 2952
"43541" 3089848 32348.9 3053 3089847 32348.9 3052
"43541" 3089924 32697.0 3129 3089923 32697.0 3128
"43541" 3090122 33585.6 3327 3090121 33585.6 3326
"43541" 3090406 35228.5 3611 3090405 35228.5 3610
"43541" 3090459 35967.9 3664 3090458 35967.9 3663
"43541" 3090490 36552.2 3695 3090489 36552.2 3694
"43541" 3090521 37136.6 3726 3090520 37136.6 3725
"42206" 3340394 20641.7 108 3340393 20641.7 107
"42206" 3340417 24205.9 131 3340416 24205.9 130
"43537" 3351499 310.3 26 3351498 310.3 25
"43537" 3351512 811.7 39 3351511 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.
8 "1076"
9501 "13743"
2390 "73341"
4680 "2499"
2340 "1256"
2335 "1271"
9465 "1294"
16503 "24602"
2 "1339"
4677 "2685"
16500 "12709"
7063 "1379"
9492 "2737"
11849 "2766"
10 "1461"
11862 "47502"
14159 "2814"
9496 "2849"
9497 "2852"
11851 "2850"
7079 "2980"
11850 "2975"
4678 "2974"
14158 "2972"
9510 "47985"
16494 "1954"
14167 "20239"
16504 "20237"
16502 "17222"
14165 "31530"
11857 "17343"
25 "43774"
16489 "678"
9464 "973"
62 "76307"
14207 "76308"
63 "76309"
16497 "3000"
4679 "3012"
16505 "13033"
2347 "13105"
11912 "76816"
13 "2009"
15 "2022"
11867 "48071"
29 "48073"
9484 "2066"
11866 "48062"
7077 "2111"
11848 "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.
9232 "21_APNV_416-45-3-250526-ab-1310" "17272" 196.9887428340989 3.283145713901648 206594 17 "99227" "Krekenava" "14:03:00" 206595 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.
12038 "2699" "7597202"
12102 "2699" "7597125"
12178 "2699" "7597210"
12184 "2699" "7597201"
12186 "2699" "7597172"
12230 "2699" "7597164"
12237 "2699" "7597176"
12254 "2699" "7597137"
12310 "2699" "7597170"
12348 "2699" "7597140"
12401 "2699" "7597191"
12405 "2699" "7597133"
12474 "2699" "7597147"
12555 "2699" "7597130"
12576 "2699" "7597181"
12605 "2699" "7597150"
12685 "2699" "7597128"
12703 "2699" "7597186"
12730 "2699" "7597155"
12768 "2699" "7597146"
12807 "2699" "7597188"
12810 "2699" "7597203"
12817 "2699" "7597157"
13034 "2699" "7597127"
13185 "2699" "7597166"
13231 "2699" "7597177"
16001 "2699" "7597183"
16047 "2699" "7597148"
16082 "2699" "7597194"
16148 "2699" "7597193"
16157 "2699" "7597175"
16260 "2699" "7597192"
16293 "2699" "7597131"
16308 "2699" "7597163"
16476 "2699" "7597129"
16485 "2699" "7597153"
16538 "2699" "7597167"
16541 "2699" "7597134"
16549 "2699" "7597206"
16555 "2699" "7597143"
16562 "2699" "7597190"
16594 "2699" "7597212"
16698 "2699" "7597173"
16772 "2699" "7597204"
16814 "2699" "7597142"
17044 "2699" "7597207"
17081 "2699" "7597021"
17183 "2699" "7597136"
17393 "2699" "7597198"
17459 "2699" "7597189"
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 996

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 996 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\"" 48
"routes.txt" "route_short_name" "3_VLP" 36
"routes.txt" "route_long_name" "RIMKAI-MAXIMA-ŠVEICARIJA" 39
"routes.txt" "route_long_name" "JONAVA-ŽEIMIAI" 41
"routes.txt" "route_long_name" "ŠVENČIONYS-ŠUTONYS-ŠVENČIONYS" 100
"routes.txt" "route_long_name" "JONAVA-PREIŠIOGALĖLĖ-ŽINĖNAI-JONAVA" 165
"routes.txt" "route_short_name" "5_VLP" 198
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 203
"routes.txt" "route_long_name" "JONAVA-KULVA PER JUODMENĄ" 204
"routes.txt" "route_long_name" "JONAVA-KAUNAS" 205
"routes.txt" "route_long_name" "JONAVA-KULVA" 206
"routes.txt" "route_long_name" "JONAVA-UPININKAI" 208
"routes.txt" "route_long_name" "ŠVENČIONYS-PABRADĖ-VILNIUS-PABRADĖ-ŠVENČIONYS" 258
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS, KANDRĖNUS, LAIČIUS" 303
"routes.txt" "route_long_name" "ŽELVA - PUSNĖ" 308
"routes.txt" "route_short_name" "40-DT" 333
"routes.txt" "route_short_name" "2_VLP" 375
"routes.txt" "route_long_name" "JONAVA-JUŠKONYS" 376
"routes.txt" "route_long_name" "JONAVA-ŠĖTA" 377
"routes.txt" "route_long_name" "JONAVA-KUIGALIAI PER NAUJASODĮ" 381
"routes.txt" "route_long_name" "JONAVA-ŽINĖNAI-PREIŠIOGALĖLĖ-JONAVA" 472
"routes.txt" "route_short_name" "94AT" 488
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-GLOBOS NAMAI-RIMKAI" 558
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 571
"routes.txt" "route_short_name" "94-DC" 576
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER KANDRĖNUS, LAIČIUS" 577
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 600
"routes.txt" "route_short_name" "4_VLP" 712
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI" 715
"routes.txt" "route_long_name" "JONAVA-RUKLA" 716
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI-BUKONYS-ŠILAI-JONAVA" 717
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-JUODMENA-RIMKAI" 718
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 788
"routes.txt" "route_short_name" "70AC" 831
"routes.txt" "route_short_name" "1A_VLP" 883
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 885
"routes.txt" "route_long_name" "JONAVA-GAIŽIŪNŲ STOTIS" 891
"routes.txt" "route_long_name" "KUPIŠKIS - ANTAŠAVA" 915
"routes.txt" "route_long_name" "ŠIRVINTOS - UKMERGĖ - ŠIRVINTOS" 964
"routes.txt" "route_short_name" "2A_VLP" 1048
"routes.txt" "route_long_name" "JONAVA-BUKONYS" 1051
"routes.txt" "route_long_name" "ŠVENČIONYS-ADUTIŠKIS-JAKELIAI-ADUTIŠKIS-ŠVENČIONYS" 1077
"routes.txt" "route_long_name" "KUPIŠKIS – ŠIMONYS PER MIGONIS" 1088
"routes.txt" "route_short_name" "50AB" 1111
"routes.txt" "route_long_name" "KUPIŠKIS – PANEVĖŽYS" 1113
"routes.txt" "route_long_name" "ŽELVA - KIAUKLIAI" 1118
"routes.txt" "route_long_name" "JONAVA - PAGELEŽIAI" 1135
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS" 1177
"routes.txt" "route_short_name" "1_VLP" 1231
"routes.txt" "route_long_name" "JONAVA-KĖDAINIAI" 1233
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.
18113 "3636" "45756" 2988 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
16889 "3651" "45771" 3017 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
19390 "3653" "45773" 3018 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
16872 "43544" "8124133" 334774 "9340" "Mokykla" [55.512857000000004,26.315831] 134.01174852768767
17492 "43548" "8124139" 334812 "8484" "Mokykla" [55.513561,26.317414] 128.25393944619788
12563 "26974" "7317014" 37672 "14216" "Glaudžiai" [55.90637400000001,21.877556999999996] 1731.1842381583824
12563 "26974" "7317014" 37673 "10163" "Glaudžiai I" [55.90637400000001,21.877556999999996] 935.5388323636666
12563 "26974" "7317014" 37688 "19491" "Plungės autobusų stotis" [55.918779,21.851513000000004] 152.03315218543798
13106 "29329" "7418310" 45173 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
16141 "29328" "7418309" 45150 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
16303 "6003" "52856" 5970 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
18252 "6005" "52858" 5979 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
17062 "6004" "52857" 5975 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
12681 "6007" "52859" 5986 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
16742 "6008" "52860" 5991 "8356" "Plinkšės" [56.146646000000004,22.177096] 708.0755710896237
18794 "16822" "2392140" 20964 "8988" "Miškų urėdija" [56.223549,23.648672] 192.32046673726916
12124 "16821" "2392135" 20898 "8988" "Miškų urėdija" [56.223549,23.648672] 192.32046673726916
17677 "16823" "2392142" 21003 "15916" "Miškų urėdija" [56.223436,23.64902] 114.43864929834778
18973 "18654" "3218451" 23753 "67434" "Geluva" [55.249732,23.511073] 140.46827403515317
16171 "32206" "7476586" 51149 "48065" "Troškūnų g." [55.521214350005486,25.097709664383384] 523.8519190658676
16171 "32206" "7476586" 51150 "48066" "Geležinkelio stotis" [55.526276,25.103853] 785.72734673045
16171 "32206" "7476586" 51151 "48068" "Kalno parduotuvė" [55.526598,25.099623999999995] 574.8082135251354
16171 "32206" "7476586" 51154 "48071" "Pušyno mikrorajonas" [55.521132,25.115296] 658.3695095777266
16171 "32206" "7476586" 51159 "48070" "Žiburio g." [55.525912999999996,25.113931000000004] 146.43308427108235
16988 "3899" "46086" 3126 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
16674 "3014" "43694" 2151 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
20807 "37872" "61_49W" 72554 "91654" "Kūlokai" [54.450829999999996,23.395002] 3378.2526672161835
17532 "29420" "7429613" 45710 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
9179 "49117" "57_1172-20260204" 403691 "70878" "Šveicarija" [55.04546,24.25836] 149.18478145589043
16570 "4529" "46899" 3949 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
17774 "4527" "47691" 5138 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
19607 "4528" "47692" 5139 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
12076 "14622" "7150732" 36678 "14754" "Naiviai" [55.84397975379556,25.145549112350125] 765.6219655883444
17103 "2821" "45017" 2912 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
17875 "29615" "7432118" 46220 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
12422 "29616" "7432119" 46268 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
2532 "21886" "60_A2-02-1-241209-ba-0720" 71858 "5846" "Grūtas" [54.032271447911626,24.074587772943918] 103.01117636409927
2539 "21885" "60_A2-02-1-241209-ab-0800" 68765 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
3341 "21887" "60_A2-01-7-251110-ab3-1100" 336359 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
4983 "21891" "60_A2-01-6-251110-ab2-0740" 338098 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
4805 "21865" "60_A2-01-7-251110-b3a-1150" 337945 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
3344 "21872" "60_A2-01-6-251110-b2a-1520" 336193 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
16076 "3339" "46943" 3950 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
18536 "11705" "747606" 14932 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
17965 "6511" "54507" 8593 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
18061 "6509" "54501" 8539 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
17332 "6513" "54509" 8617 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
12104 "29093" "7413976" 42976 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
19265 "29092" "7413975" 42946 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
12504 "5232" "48165" 5413 "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.
20124 "3645" "57657" 10818 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 10817 "12152" "Jonaičiai" [55.34641499999999,21.570023]
18796 "3667" "57730" 10957 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 10956 "13926" "Jonaičiai" [55.346103,21.568929]
16045 "3714" "57735" 11015 "13926" "Jonaičiai" [55.346103,21.568929] 11014 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
18746 "13808" "1228372" 17046 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 17045 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
19478 "28435" "7339430" 40468 "64819" "Suostas" [56.32837413018391,24.713657886432735] 40467 "16112" "Svydžiai" [56.352930797976754,24.686322368913352]
12055 "28434" "7339429" 40444 "10057" "Svydžiai" [56.35334128457164,24.685572701413516] 40443 "64820" "Suostas" [56.32837775901334,24.713656830174433]
16887 "6591" "57635" 10478 "13926" "Jonaičiai" [55.346103,21.568929] 10477 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
18817 "3554" "57643" 10622 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 10621 "12152" "Jonaičiai" [55.34641499999999,21.570023]
17874 "29102" "7413991" 43070 "71231" "Žuvintai" [54.448579423202126,23.62330650767253] 43069 "71255" "Litvanciškai" [54.41436513808293,23.67340583550103]
12167 "40377" "8016002" 95154 "72301" "Kirlikai" [55.32834500402225,21.565359093761266] 95153 "97223" "Tarvydai I" [55.328604,21.56423]
16995 "40378" "8016003" 95163 "71683" "Tarvydai II" [55.31814711876975,21.598011981975805] 95162 "97223" "Tarvydai I" [55.328604,21.56423]
13176 "5353" "57623" 10340 "13926" "Jonaičiai" [55.346103,21.568929] 10339 "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