GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2025-12-28T06:07:46+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: 39
  • Blocks: 0
  • Routes: 1271
  • Shapes: 3274
  • Stops: 12576
  • Trips: 21636

Specification Compliance report

112526 notices reported (0 errors, 112493 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`.
151 "18329" 300 "6209" "M1" "Alytus - Geniai" 3 "48"
752 "16052" 885 "6212" "M23" "Alytus - Punia - Butrimonys - Eigirdonys" 3 "48"
352 "3645" 1145 "8681" "144" "Vilnius (Žalgirio stotelė) – Nemenčinė per Pikeliškes" 3 "53"
equal_shape_distance_diff_coordinates_distance_below_threshold WARNING 4148

equal_shape_distance_diff_coordinates_distance_below_threshold

Two consecutive points have equal shape_dist_traveled and different lat/lon coordinates in shapes.txt and the distance between the two points is greater than 0 but less than 1.11m.

When sorted by shape.shape_pt_sequence, the values for shape_dist_traveled must increase along a shape. Two consecutive points with equal values for shape_dist_traveled and small difference of coordinates (greater than 0 but less than 1.11 m distance) result in a warning.

You can see more about this notice here.

Only the first 50 of 4148 affected records are displayed below.

shapeId (?) The id of the faulty shape. csvRowNumber (?) The row number from `shapes.txt`. shapeDistTraveled (?) The faulty record's `shape_dist_traveled` value. shapePtSequence (?) The faulty record's `shapes.shape_pt_sequence`. prevCsvRowNumber (?) The row number from `shapes.txt` of the previous shape point. prevShapeDistTraveled (?) The previous shape point's `shape_dist_traveled` value. prevShapePtSequence (?) The previous record's `shapes.shape_pt_sequence`. actualDistanceBetweenShapePoints (?) Actual distance traveled along the shape from the first shape point to the previous shape point.
"3647" 501628 29882.7 878 501627 29882.7 877 0.12791084993239907
"2328" 410526 35929.8 642 410525 35929.8 641 0.11119510090982554
"3659" 496678 49657.5 1177 496677 49657.5 1176 0.12791084993239907
"2369" 395866 63265.5 1261 395865 63265.5 1260 0.11119510090982554
"2385" 605436 69168.3 1771 605435 69168.3 1770 0.06441976500794575
"28733" 2268773 71509.2 1569 2268772 71509.2 1568 0.06441976500794575
"1919" 770952 136875.8 2842 770951 136875.8 2841 0.12752942403551987
"1919" 770955 136876.0 2845 770954 136876.0 2844 0.11119510090982554
"1919" 770962 136876.5 2852 770961 136876.5 2851 0.11119510232447394
"1919" 770965 136876.7 2855 770964 136876.7 2854 0.11119510161714974
"1919" 770968 136876.9 2858 770967 136876.9 2857 0.12752941555597483
"1919" 770977 136877.5 2867 770976 136877.5 2866 0.11119510090982554
"1919" 770980 136877.7 2870 770979 136877.7 2869 0.11119510161714974
"1919" 770983 136877.9 2873 770982 136877.9 2872 0.11119510090982554
"1919" 770990 136878.4 2880 770989 136878.4 2879 0.11119510090982554
"1919" 770993 136878.6 2883 770992 136878.6 2882 0.11119510161714974
"1919" 771002 136879.2 2892 771001 136879.2 2891 0.11119510090982554
"1919" 771005 136879.4 2895 771004 136879.4 2894 0.12752939825777979
"1919" 771008 136879.6 2898 771007 136879.6 2897 0.11119510161714974
"1919" 771017 136880.2 2907 771016 136880.2 2906 0.11119510161714974
"1919" 771021 136880.5 2911 771020 136880.5 2910 0.06244513630731429
"1919" 771027 136880.9 2917 771026 136880.9 2916 0.11119510161714974
"1919" 771030 136881.1 2920 771029 136881.1 2919 0.11119510090982554
"1919" 771033 136881.3 2923 771032 136881.3 2922 0.11119510090982554
"1919" 771042 136881.9 2932 771041 136881.9 2931 0.12752938095958766
"1919" 771045 136882.1 2935 771044 136882.1 2934 0.11119510161714974
"1919" 771056 136882.8 2946 771055 136882.8 2945 0.11119510161714974
"1919" 771061 136883.1 2951 771060 136883.1 2950 0.11119510161714974
"1919" 771069 136883.6 2959 771068 136883.6 2958 0.11119510090982554
"1919" 771074 136883.9 2964 771073 136883.9 2963 0.11119510090982554
"1919" 771087 136884.7 2977 771086 136884.7 2976 0.11119510161714974
"1919" 771089 136884.8 2979 771088 136884.8 2978 0.11119510090982554
"1919" 771092 136885.0 2982 771091 136885.0 2981 0.11119510161714974
"1919" 771100 136885.5 2990 771099 136885.5 2989 0.1275293557985862
"1919" 771102 136885.6 2992 771101 136885.6 2991 0.11119510161714974
"1919" 771105 136885.8 2995 771104 136885.8 2994 0.11119510090982554
"1919" 771107 136885.9 2997 771106 136885.9 2996 0.11119510232447394
"1919" 771113 136886.3 3003 771112 136886.3 3002 0.06244505260741443
"1919" 771118 136886.6 3008 771117 136886.6 3007 0.11119510161714974
"1919" 771120 136886.7 3010 771119 136886.7 3009 0.11119510090982554
"1919" 771123 136886.9 3013 771122 136886.9 3012 0.11119510090982554
"1919" 771125 136887.0 3015 771124 136887.0 3014 0.11119510090982554
"1919" 771131 136887.4 3021 771130 136887.4 3020 0.11119510090982554
"1919" 771133 136887.5 3023 771132 136887.5 3022 0.11119510161714974
"1919" 771136 136887.7 3026 771135 136887.7 3025 0.11119510090982554
"1919" 771138 136887.8 3028 771137 136887.8 3027 0.11119510161714974
"1919" 771149 136888.5 3039 771148 136888.5 3038 0.11119510161714974
"1919" 771151 136888.6 3041 771150 136888.6 3040 0.11119510090982554
"1919" 771154 136888.8 3044 771153 136888.8 3043 0.11119510090982554
"1919" 771163 136889.4 3053 771162 136889.4 3052 0.11119510161714974
equal_shape_distance_same_coordinates WARNING 7185

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 7185 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" 2950740 350.5 28 2950739 350.5 27
"43541" 2950751 811.7 39 2950750 811.7 38
"43541" 2950790 1779.8 78 2950789 1779.8 77
"43541" 2950834 3184.3 122 2950833 3184.3 121
"43541" 2950867 4418.1 155 2950866 4418.1 154
"43541" 2950883 4854.6 171 2950882 4854.6 170
"43541" 2950932 6561.9 220 2950931 6561.9 219
"43541" 2950968 7544.1 256 2950967 7544.1 255
"43541" 2951007 8757.6 295 2951006 8757.6 294
"43541" 2951024 9358.6 312 2951023 9358.6 311
"43541" 2951051 9709.1 339 2951050 9709.1 338
"43541" 2951097 10376.7 385 2951096 10376.7 384
"43541" 2951150 11116.1 438 2951149 11116.1 437
"43541" 2951181 11700.4 469 2951180 11700.4 468
"43541" 2951212 12284.8 500 2951211 12284.8 499
"43541" 2951473 14358.7 761 2951472 14358.7 760
"43541" 2951549 14706.8 837 2951548 14706.8 836
"43541" 2951649 15301.6 937 2951648 15301.6 936
"43541" 2951749 15896.4 1037 2951748 15896.4 1036
"43541" 2951825 16244.5 1113 2951824 16244.5 1112
"43541" 2952023 17133.2 1311 2952022 17133.2 1310
"43541" 2952266 18161.9 1554 2952265 18161.9 1553
"43541" 2952291 18472.3 1579 2952290 18472.3 1578
"43541" 2952341 18976.3 1629 2952340 18976.3 1628
"43541" 2952488 19673.4 1776 2952487 19673.4 1775
"43541" 2952717 21285.9 2005 2952716 21285.9 2004
"43541" 2952793 22756.6 2081 2952792 22756.6 2080
"43541" 2952869 24227.3 2157 2952868 24227.3 2156
"43541" 2952908 24719.6 2196 2952907 24719.6 2195
"43541" 2952925 25292.2 2213 2952924 25292.2 2212
"43541" 2952944 25625.9 2232 2952943 25625.9 2231
"43541" 2953032 26736.7 2320 2953031 26736.7 2319
"43541" 2953119 27236.5 2407 2953118 27236.5 2406
"43541" 2953168 28436.1 2456 2953167 28436.1 2455
"43541" 2953207 28928.5 2495 2953206 28928.5 2494
"43541" 2953258 29639.4 2546 2953257 29639.4 2545
"43541" 2953489 30811.2 2777 2953488 30811.2 2776
"43541" 2953565 31159.3 2853 2953564 31159.3 2852
"43541" 2953665 31754.1 2953 2953664 31754.1 2952
"43541" 2953765 32348.9 3053 2953764 32348.9 3052
"43541" 2953841 32697.0 3129 2953840 32697.0 3128
"43541" 2954039 33585.6 3327 2954038 33585.6 3326
"43541" 2954323 35228.5 3611 2954322 35228.5 3610
"43541" 2954376 35967.9 3664 2954375 35967.9 3663
"43541" 2954407 36552.2 3695 2954406 36552.2 3694
"43541" 2954438 37136.6 3726 2954437 37136.6 3725
"43537" 3080586 310.3 26 3080585 310.3 25
"43537" 3080599 811.7 39 3080598 811.7 38
"43537" 3080638 1779.8 78 3080637 1779.8 77
"43537" 3080682 3184.3 122 3080681 3184.3 121
expired_calendar WARNING 73

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 73 affected records are displayed below.

csvRowNumber (?) The row of the faulty record. serviceId (?) The service id of the faulty record.
7766 "17222"
6677 "31530"
6 "1076"
1162 "73341"
5564 "17343"
2219 "2499"
1253 "59143"
1874 "59141"
7145 "60179"
23 "43774"
1108 "1256"
1104 "1271"
4463 "1294"
7767 "24602"
2 "1339"
2216 "2685"
7764 "12709"
3349 "1379"
4487 "2737"
5556 "2766"
1123 "60347"
8 "1461"
5569 "47502"
7755 "678"
6672 "2814"
4491 "2849"
4492 "2852"
5558 "2850"
3364 "2980"
5557 "2975"
2217 "2974"
6671 "2972"
4462 "973"
63 "76307"
6728 "76308"
64 "76309"
6029 "60772"
5326 "71445"
5585 "60928"
3900 "60946"
5580 "60959"
4502 "47985"
7760 "1954"
2237 "60890"
7762 "3000"
2218 "3012"
6679 "20239"
7768 "20237"
7769 "13033"
1114 "13105"
fast_travel_between_consecutive_stops WARNING 2

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.
19688 "8093432" "17272" 196.9887428340989 3.283145713901648 235195 17 "99227" "Krekenava" "14:03:00" 235196 18 "99243" "Rabikiai" "14:03:00"
20140 "8091136" "17220" 196.9887428340989 3.283145713901648 216885 17 "98468" "Krekenava" "14:03:00" 216886 18 "98476" "Rabikiai" "14:03:00"
missing_bike_allowance WARNING 118

missing_bike_allowance

Ferry trips should include bike allowance information.

All ferry trips should have a valid value in the bikes_allowed field in trips.txt.

You can see more about this notice here.

Only the first 50 of 118 affected records are displayed below.

csvRowNumber (?) The row number of the faulty record. routeId (?) The faulty record's route id. tripId (?) The faulty record's trip id.
132 "2699" "7597169"
2759 "2699" "7597174"
2760 "2699" "7597180"
2763 "2699" "7597181"
2764 "2699" "7597175"
2765 "2699" "7597176"
2766 "2699" "7597177"
2767 "2699" "7597178"
2803 "2699" "7597182"
2804 "2699" "7597183"
2805 "2699" "7597184"
2806 "2699" "7597185"
2818 "2699" "7597186"
2819 "2699" "7597187"
2820 "2699" "7597188"
2823 "2699" "7597189"
2850 "2699" "7597190"
2851 "2699" "7597191"
2852 "2699" "7597192"
2853 "2699" "7597193"
2854 "2699" "7597194"
2855 "2699" "7597195"
2857 "2699" "7597196"
2858 "2699" "7597197"
2859 "2699" "7597198"
3142 "2699" "7597021"
20802 "2699" "7597170"
20803 "2699" "7597171"
20804 "2699" "7597172"
20805 "2699" "7597173"
20926 "2699" "7597128"
20927 "2699" "7597129"
20928 "2699" "7597130"
20929 "2699" "7597131"
20930 "2699" "7597132"
20935 "2699" "7597126"
20936 "2699" "7597127"
21029 "2699" "7597133"
21030 "2699" "7597134"
21031 "2699" "7597135"
21032 "2699" "7597136"
21033 "2699" "7597137"
21034 "2699" "7597138"
21035 "2699" "7597139"
21090 "2699" "7597140"
21091 "2699" "7597141"
21092 "2699" "7597142"
21093 "2699" "7597143"
21094 "2699" "7597144"
21095 "2699" "7597145"
missing_recommended_file WARNING 1

missing_recommended_file

A recommended file is missing.

You can see more about this notice here.

filename (?) The name of the faulty file.
"feed_info.txt"
missing_timepoint_value WARNING 100000

missing_timepoint_value

stop_times.timepoint value is missing for a record.

Even though the column timepoint is optional in stop_times.txt according to the specification, stop_times.timepoint should not be empty when provided.

You can see more about this notice here.

Only the first 50 of 100000 affected records are displayed below.

csvRowNumber (?) The row number of the faulty record. tripId (?) The faulty record's `stop_times.trip_id`. stopSequence (?) The faulty record's `stop_times.stop_sequence`.
2 "41979" 1
3 "41979" 2
4 "41979" 3
5 "41979" 4
6 "41980" 1
7 "41980" 2
8 "41980" 3
9 "41980" 4
10 "41981" 1
11 "41981" 2
12 "41981" 3
13 "41981" 4
14 "41982" 1
15 "41982" 2
16 "41982" 3
17 "41982" 4
18 "42101" 1
19 "42101" 2
20 "42101" 4
21 "42101" 5
22 "42101" 6
23 "42103" 1
24 "42103" 2
25 "42103" 4
26 "42103" 5
27 "42103" 6
28 "42105" 1
29 "42105" 2
30 "42105" 4
31 "42105" 5
32 "42203" 1
33 "42203" 2
34 "42203" 3
35 "42203" 4
36 "42203" 5
37 "42203" 6
38 "42203" 7
39 "42203" 8
40 "42203" 9
41 "42203" 10
42 "42203" 11
43 "42203" 12
44 "42203" 13
45 "42203" 14
46 "42203" 15
47 "42203" 16
48 "42203" 17
49 "42203" 18
50 "42203" 19
51 "42206" 1
mixed_case_recommended_field WARNING 890

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 890 affected records are displayed below.

filename (?) Name of the faulty file. fieldName (?) Name of the faulty field. fieldValue (?) Faulty value. csvRowNumber (?) The row number of the faulty record.
"agency.txt" "agency_name" "UŽDAROJI AKCINĖ BENDROVĖ \"EMTRA\"" 39
"routes.txt" "route_long_name" "RIMKAI-MAXIMA-ŠVEICARIJA" 252
"routes.txt" "route_long_name" "JONAVA-GAIŽIŪNŲ STOTIS" 278
"routes.txt" "route_long_name" "JONAVA-JUŠKONYS" 280
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS, KANDRĖNUS, LAIČIUS" 290
"routes.txt" "route_short_name" "1A_VLP" 302
"routes.txt" "route_short_name" "523_VLP" 304
"routes.txt" "route_short_name" "518_VLP" 319
"routes.txt" "route_short_name" "40-DT" 327
"routes.txt" "route_long_name" "JONAVA-BUKONYS" 344
"routes.txt" "route_long_name" "JONAVA-KAUNAS" 345
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-GLOBOS NAMAI-RIMKAI" 346
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 431
"routes.txt" "route_long_name" "JONAVA-KULVA PER JUODMENĄ" 432
"routes.txt" "route_long_name" "JONAVA-PREIŠIOGALĖLĖ-ŽINĖNAI-JONAVA" 462
"routes.txt" "route_short_name" "2_VLP" 470
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 516
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER KANDRĖNUS, LAIČIUS" 578
"routes.txt" "route_long_name" "JONAVA-ŠĖTA" 590
"routes.txt" "route_long_name" "JONAVA-KULVA" 596
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 661
"routes.txt" "route_long_name" "JONAVA-RUKLA" 717
"routes.txt" "route_long_name" "JONAVA - PAGELEŽIAI" 738
"routes.txt" "route_long_name" "KUPIŠKIS - ANTAŠAVA" 845
"routes.txt" "route_long_name" "JONAVA-KUIGALIAI PER NAUJASODĮ" 886
"routes.txt" "route_long_name" "ŠIRVINTOS - UKMERGĖ - ŠIRVINTOS" 891
"routes.txt" "route_short_name" "2A_VLP" 912
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI" 959
"routes.txt" "route_long_name" "KUPIŠKIS – ŠIMONYS PER MIGONIS" 988
"routes.txt" "route_short_name" "50AB" 995
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 1030
"routes.txt" "route_long_name" "JONAVA-KĖDAINIAI" 1031
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS" 1034
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI-BUKONYS-ŠILAI-JONAVA" 1055
"routes.txt" "route_short_name" "1_VLP" 1079
"routes.txt" "route_long_name" "KUPIŠKIS – PANEVĖŽYS" 1093
"routes.txt" "route_long_name" "KUPIŠKIS – LAIČIAI PER KANDRĖNUS, SKAPIŠKIO MSTL." 1098
"routes.txt" "route_long_name" "UKMERGĖ- MIŠNIŪNAI PER LIAUŠIUS" 1102
"routes.txt" "route_long_name" "JONAVA-UPININKAI" 1111
"routes.txt" "route_long_name" "KUPIŠKIS – VAINIŪNIŠKIS (PER PALĖVENĖLĘ) – KUPIŠKIS" 1156
"routes.txt" "route_long_name" "KUPIŠKIS – SUBAČIAUS MST. PER LUKONIS" 1183
"routes.txt" "route_long_name" "KUPIŠKIS – ALIZAVA PER PALĖVENĖLĘ – KUPIŠKIS" 1186
"routes.txt" "route_long_name" "JONAVA-ŽEIMIAI" 1202
"routes.txt" "route_long_name" "ŽELVA - KIAUKLIAI" 1219
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-JUODMENA-RIMKAI" 1222
"routes.txt" "route_long_name" "JONAVA-ŽINĖNAI-PREIŠIOGALĖLĖ-JONAVA" 1224
"routes.txt" "route_short_name" "4_VLP" 1245
"routes.txt" "route_short_name" "787_VLP" 1247
"routes.txt" "route_short_name" "5_VLP" 1248
"routes.txt" "route_short_name" "3_VLP" 1254
stop_too_far_from_shape WARNING 60

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 60 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.
8501 "3636" "45756" 3497 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
8502 "3651" "45771" 3526 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
8219 "3653" "45773" 3527 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
7483 "43544" "8124133" 384302 "9340" "Mokykla" [55.512857000000004,26.315831] 134.01174852768767
7567 "43548" "8124139" 384340 "8484" "Mokykla" [55.513561,26.317414] 128.25393944619788
2747 "26974" "7317010" 36525 "14216" "Glaudžiai" [55.90637400000001,21.877556999999996] 1731.1842381583824
2747 "26974" "7317010" 36526 "10163" "Glaudžiai I" [55.90637400000001,21.877556999999996] 935.5388323636666
2747 "26974" "7317010" 36541 "19491" "Plungės autobusų stotis" [55.918779,21.851513000000004] 152.03315218543798
19756 "29329" "7418310" 43945 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
639 "29328" "7418309" 43922 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
13145 "37814" "7870743" 73198 "91339" "Sūduva" [54.57502093577935,23.37188570151982] 108.83359346294479
10501 "6003" "52856" 6188 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
10235 "6005" "52858" 6197 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
10248 "6004" "52857" 6193 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
10181 "6007" "52859" 6204 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
10253 "6008" "52860" 6209 "8356" "Plinkšės" [56.146646000000004,22.177096] 708.0755710896237
12064 "18654" "3218451" 22338 "67434" "Geluva" [55.249732,23.511073] 140.46827403515317
4170 "32206" "7476583" 49840 "48065" "Troškūnų g." [55.521214350005486,25.097709664383384] 523.8519190658676
4170 "32206" "7476583" 49841 "48066" "Geležinkelio stotis" [55.526276,25.103853] 785.72734673045
4170 "32206" "7476583" 49842 "48068" "Kalno parduotuvė" [55.526598,25.099623999999995] 574.8082135251354
4170 "32206" "7476583" 49845 "48071" "Pušyno mikrorajonas" [55.521132,25.115296] 658.3695095777266
4170 "32206" "7476583" 49850 "48070" "Žiburio g." [55.525912999999996,25.113931000000004] 146.43308427108235
8416 "3899" "46086" 3635 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
8469 "3014" "43694" 2660 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
10661 "37872" "7870674" 71802 "91654" "Kūlokai" [54.450829999999996,23.395002] 3378.2526672161835
19116 "29420" "7429613" 44482 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
8488 "4529" "46899" 4305 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
8498 "4527" "47691" 5336 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
8461 "4528" "47692" 5337 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
9115 "14622" "7150733" 35614 "14754" "Naiviai" [55.84397975379556,25.145549112350125] 765.6219655883444
8479 "2821" "45017" 3421 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
14399 "29615" "7432118" 44970 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
17719 "29616" "7432119" 45018 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
12931 "21886" "7846786" 65693 "5846" "Grūtas" [54.032271447911626,24.074587772943918] 103.01117636409927
10871 "21885" "7846693" 64817 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
16836 "21887" "8128791" 385564 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
13754 "21891" "7846924" 66936 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
15313 "21865" "8128916" 387473 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
13319 "21872" "7846768" 65511 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
8725 "3339" "46943" 4306 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
12174 "45952" "8147782" 392588 "70878" "Šveicarija" [55.04546,24.25836] 149.18478145589043
13473 "11705" "747606" 14714 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
10511 "6511" "54507" 8774 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
10153 "6509" "54501" 8720 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
10513 "6513" "54509" 8798 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
14493 "29093" "7413976" 41748 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
14492 "29092" "7413975" 41718 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
8727 "5232" "48166" 5592 "14684" "Lieplaukalė" [55.9354974471734,21.831098374058865] 152.04079667279404
2507 "27242" "7322653" 37910 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
2504 "27240" "7322650" 37864 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
stops_match_shape_out_of_order WARNING 13

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.
11171 "3645" "57657" 10915 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 10914 "12152" "Jonaičiai" [55.34641499999999,21.570023]
10925 "3667" "57730" 11054 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 11053 "13926" "Jonaičiai" [55.346103,21.568929]
10524 "3714" "57735" 11112 "13926" "Jonaičiai" [55.346103,21.568929] 11111 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
10720 "13808" "1228372" 16445 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 16444 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
13111 "17480" "2657524" 21021 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 21020 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
20190 "28435" "7339430" 39282 "64819" "Suostas" [56.32837413018391,24.713657886432735] 39281 "16112" "Svydžiai" [56.352930797976754,24.686322368913352]
20188 "28434" "7339429" 39258 "10057" "Svydžiai" [56.35334128457164,24.685572701413516] 39257 "64820" "Suostas" [56.32837775901334,24.713656830174433]
10922 "6591" "57635" 10575 "13926" "Jonaičiai" [55.346103,21.568929] 10574 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
10518 "3554" "57640" 10653 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 10652 "12152" "Jonaičiai" [55.34641499999999,21.570023]
1990 "29102" "7413991" 41842 "71231" "Žuvintai" [54.448579423202126,23.62330650767253] 41841 "71255" "Litvanciškai" [54.41436513808293,23.67340583550103]
2758 "40377" "8016002" 101384 "72301" "Kirlikai" [55.32834500402225,21.565359093761266] 101383 "97223" "Tarvydai I" [55.328604,21.56423]
2587 "40378" "8016003" 101393 "71683" "Tarvydai II" [55.31814711876975,21.598011981975805] 101392 "97223" "Tarvydai I" [55.328604,21.56423]
11447 "5353" "57618" 10403 "13926" "Jonaičiai" [55.346103,21.568929] 10402 "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