GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2025-11-19T06:07:51+02:00,
for the dataset https://www.visimarsrutai.lt/gtfs/google_transit.zip. No country code was provided.

Use this report alongside our documentation.

⚠ This feed contains GTFS Flex features. Please note that GTFS Flex validation support is still in development. You can manually review all the validation rules for Flex data here.

A new version of the Canonical GTFS Schedule validator is available! Please update to get the latest/best validation results.

Summary

Agencies included

Feed Info

Publisher Name:
N/A
Publisher URL:
N/A
Feed Email:
N/A
Feed Language:
N/A

Files included

  1. agency.txt
  2. attributions.txt
  3. calendar.txt
  4. calendar_dates.txt
  5. fare_attributes.txt
  6. fare_rules.txt
  7. routes.txt
  8. shapes.txt
  9. stop_times.txt
  10. stops.txt
  11. trips.txt

Counts

  • Agencies: 38
  • Blocks: 0
  • Routes: 1300
  • Shapes: 3394
  • Stops: 12662
  • Trips: 20846

Specification Compliance report

109069 notices reported (0 errors, 109036 warnings, 33 infos)

Notice Code Severity Total
duplicate_route_name WARNING 2

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`.
668 "16052" 858 "6212" "M23" "Alytus - Punia - Butrimonys - Eigirdonys" 3 "48"
357 "3645" 1197 "8681" "144" "Vilnius (Žalgirio stotelė) – Nemenčinė per Pikeliškes" 3 "53"
equal_shape_distance_diff_coordinates_distance_below_threshold WARNING 4149

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 4149 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" 504741 29882.7 878 504740 29882.7 877 0.12791084993239907
"2328" 413639 35929.8 642 413638 35929.8 641 0.11119510090982554
"3659" 499791 49657.5 1177 499790 49657.5 1176 0.12791084993239907
"42205" 3171959 57850.1 335 3171958 57850.1 334 0.06178544815632574
"2369" 398979 63265.5 1261 398978 63265.5 1260 0.11119510090982554
"2385" 608549 69168.3 1771 608548 69168.3 1770 0.06441976500794575
"28733" 2289196 71509.2 1569 2289195 71509.2 1568 0.06441976500794575
"1919" 774065 136875.8 2842 774064 136875.8 2841 0.12752942403551987
"1919" 774068 136876.0 2845 774067 136876.0 2844 0.11119510090982554
"1919" 774075 136876.5 2852 774074 136876.5 2851 0.11119510232447394
"1919" 774078 136876.7 2855 774077 136876.7 2854 0.11119510161714974
"1919" 774081 136876.9 2858 774080 136876.9 2857 0.12752941555597483
"1919" 774090 136877.5 2867 774089 136877.5 2866 0.11119510090982554
"1919" 774093 136877.7 2870 774092 136877.7 2869 0.11119510161714974
"1919" 774096 136877.9 2873 774095 136877.9 2872 0.11119510090982554
"1919" 774103 136878.4 2880 774102 136878.4 2879 0.11119510090982554
"1919" 774106 136878.6 2883 774105 136878.6 2882 0.11119510161714974
"1919" 774115 136879.2 2892 774114 136879.2 2891 0.11119510090982554
"1919" 774118 136879.4 2895 774117 136879.4 2894 0.12752939825777979
"1919" 774121 136879.6 2898 774120 136879.6 2897 0.11119510161714974
"1919" 774130 136880.2 2907 774129 136880.2 2906 0.11119510161714974
"1919" 774134 136880.5 2911 774133 136880.5 2910 0.06244513630731429
"1919" 774140 136880.9 2917 774139 136880.9 2916 0.11119510161714974
"1919" 774143 136881.1 2920 774142 136881.1 2919 0.11119510090982554
"1919" 774146 136881.3 2923 774145 136881.3 2922 0.11119510090982554
"1919" 774155 136881.9 2932 774154 136881.9 2931 0.12752938095958766
"1919" 774158 136882.1 2935 774157 136882.1 2934 0.11119510161714974
"1919" 774169 136882.8 2946 774168 136882.8 2945 0.11119510161714974
"1919" 774174 136883.1 2951 774173 136883.1 2950 0.11119510161714974
"1919" 774182 136883.6 2959 774181 136883.6 2958 0.11119510090982554
"1919" 774187 136883.9 2964 774186 136883.9 2963 0.11119510090982554
"1919" 774200 136884.7 2977 774199 136884.7 2976 0.11119510161714974
"1919" 774202 136884.8 2979 774201 136884.8 2978 0.11119510090982554
"1919" 774205 136885.0 2982 774204 136885.0 2981 0.11119510161714974
"1919" 774213 136885.5 2990 774212 136885.5 2989 0.1275293557985862
"1919" 774215 136885.6 2992 774214 136885.6 2991 0.11119510161714974
"1919" 774218 136885.8 2995 774217 136885.8 2994 0.11119510090982554
"1919" 774220 136885.9 2997 774219 136885.9 2996 0.11119510232447394
"1919" 774226 136886.3 3003 774225 136886.3 3002 0.06244505260741443
"1919" 774231 136886.6 3008 774230 136886.6 3007 0.11119510161714974
"1919" 774233 136886.7 3010 774232 136886.7 3009 0.11119510090982554
"1919" 774236 136886.9 3013 774235 136886.9 3012 0.11119510090982554
"1919" 774238 136887.0 3015 774237 136887.0 3014 0.11119510090982554
"1919" 774244 136887.4 3021 774243 136887.4 3020 0.11119510090982554
"1919" 774246 136887.5 3023 774245 136887.5 3022 0.11119510161714974
"1919" 774249 136887.7 3026 774248 136887.7 3025 0.11119510090982554
"1919" 774251 136887.8 3028 774250 136887.8 3027 0.11119510161714974
"1919" 774262 136888.5 3039 774261 136888.5 3038 0.11119510161714974
"1919" 774264 136888.6 3041 774263 136888.6 3040 0.11119510090982554
"1919" 774267 136888.8 3044 774266 136888.8 3043 0.11119510090982554
equal_shape_distance_same_coordinates WARNING 4461

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 4461 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" 3057555 350.5 28 3057554 350.5 27
"43541" 3057566 811.7 39 3057565 811.7 38
"43541" 3057605 1779.8 78 3057604 1779.8 77
"43541" 3057649 3184.3 122 3057648 3184.3 121
"43541" 3057682 4418.1 155 3057681 4418.1 154
"43541" 3057698 4854.6 171 3057697 4854.6 170
"43541" 3057747 6561.9 220 3057746 6561.9 219
"43541" 3057783 7544.1 256 3057782 7544.1 255
"43541" 3057822 8757.6 295 3057821 8757.6 294
"43541" 3057839 9358.6 312 3057838 9358.6 311
"43541" 3057866 9709.1 339 3057865 9709.1 338
"43541" 3057912 10376.7 385 3057911 10376.7 384
"43541" 3057965 11116.1 438 3057964 11116.1 437
"43541" 3057996 11700.4 469 3057995 11700.4 468
"43541" 3058027 12284.8 500 3058026 12284.8 499
"43541" 3058288 14358.7 761 3058287 14358.7 760
"43541" 3058364 14706.8 837 3058363 14706.8 836
"43541" 3058464 15301.6 937 3058463 15301.6 936
"43541" 3058564 15896.4 1037 3058563 15896.4 1036
"43541" 3058640 16244.5 1113 3058639 16244.5 1112
"43541" 3058838 17133.2 1311 3058837 17133.2 1310
"43541" 3059081 18161.9 1554 3059080 18161.9 1553
"43541" 3059106 18472.3 1579 3059105 18472.3 1578
"43541" 3059156 18976.3 1629 3059155 18976.3 1628
"43541" 3059303 19673.4 1776 3059302 19673.4 1775
"43541" 3059532 21285.9 2005 3059531 21285.9 2004
"43541" 3059608 22756.6 2081 3059607 22756.6 2080
"43541" 3059684 24227.3 2157 3059683 24227.3 2156
"43541" 3059723 24719.6 2196 3059722 24719.6 2195
"43541" 3059740 25292.2 2213 3059739 25292.2 2212
"43541" 3059759 25625.9 2232 3059758 25625.9 2231
"43541" 3059847 26736.7 2320 3059846 26736.7 2319
"43541" 3059934 27236.5 2407 3059933 27236.5 2406
"43541" 3059983 28436.1 2456 3059982 28436.1 2455
"43541" 3060022 28928.5 2495 3060021 28928.5 2494
"43541" 3060073 29639.4 2546 3060072 29639.4 2545
"43541" 3060304 30811.2 2777 3060303 30811.2 2776
"43541" 3060380 31159.3 2853 3060379 31159.3 2852
"43541" 3060480 31754.1 2953 3060479 31754.1 2952
"43541" 3060580 32348.9 3053 3060579 32348.9 3052
"43541" 3060656 32697.0 3129 3060655 32697.0 3128
"43541" 3060854 33585.6 3327 3060853 33585.6 3326
"43541" 3061138 35228.5 3611 3061137 35228.5 3610
"43541" 3061191 35967.9 3664 3061190 35967.9 3663
"43541" 3061222 36552.2 3695 3061221 36552.2 3694
"43541" 3061253 37136.6 3726 3061252 37136.6 3725
"42206" 3172130 20641.7 108 3172129 20641.7 107
"42206" 3172153 24205.9 131 3172152 24205.9 130
"43537" 3180999 310.3 26 3180998 310.3 25
"43537" 3181012 811.7 39 3181011 811.7 38
expired_calendar WARNING 62

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 62 affected records are displayed below.

csvRowNumber (?) The row of the faulty record. serviceId (?) The service id of the faulty record.
3618 "60928"
3614 "60959"
5079 "17222"
4351 "31530"
6 "1076"
2933 "47985"
5073 "1954"
5237 "66192"
1458 "60890"
3595 "17343"
1437 "2499"
23 "43774"
711 "1256"
2891 "1294"
5075 "3000"
1436 "3012"
4353 "20239"
5081 "20237"
5080 "24602"
5082 "13033"
4366 "48594"
2 "1339"
1434 "2685"
5077 "12709"
2174 "1379"
716 "13105"
2917 "2737"
3587 "2766"
725 "60347"
8 "1461"
3600 "47502"
5068 "678"
4346 "2814"
2921 "2849"
2922 "2852"
3589 "2850"
11 "2009"
13 "2022"
3606 "48071"
26 "48073"
3604 "48062"
2189 "2980"
3588 "2975"
1435 "2974"
4345 "2972"
2187 "2111"
3586 "2123"
2911 "2137"
1428 "2158"
1431 "2175"
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.
12211 "8093432" "17272" 196.9887428340989 3.283145713901648 247170 17 "99227" "Krekenava" "14:03:00" 247171 18 "99243" "Rabikiai" "14:03:00"
9035 "8091136" "17220" 196.9887428340989 3.283145713901648 228165 17 "98468" "Krekenava" "14:03:00" 228166 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.
1943 "2699" "7597128"
1944 "2699" "7597129"
1945 "2699" "7597130"
1946 "2699" "7597131"
1947 "2699" "7597132"
1968 "2699" "7597162"
1969 "2699" "7597163"
1976 "2699" "7597164"
1979 "2699" "7597165"
1980 "2699" "7597166"
1981 "2699" "7597167"
2008 "2699" "7597133"
2009 "2699" "7597134"
2010 "2699" "7597135"
2011 "2699" "7597136"
2012 "2699" "7597137"
2013 "2699" "7597138"
2014 "2699" "7597139"
2046 "2699" "7597140"
2047 "2699" "7597141"
2048 "2699" "7597142"
2049 "2699" "7597143"
2050 "2699" "7597144"
2051 "2699" "7597145"
2052 "2699" "7597146"
2069 "2699" "7597147"
2081 "2699" "7597148"
2082 "2699" "7597149"
2093 "2699" "7597150"
2094 "2699" "7597151"
2095 "2699" "7597153"
2096 "2699" "7597154"
2106 "2699" "7597155"
2107 "2699" "7597156"
2108 "2699" "7597157"
2109 "2699" "7597158"
2110 "2699" "7597159"
2111 "2699" "7597160"
2112 "2699" "7597161"
9135 "2699" "7597182"
9136 "2699" "7597183"
9137 "2699" "7597184"
9138 "2699" "7597185"
9232 "2699" "7597186"
9233 "2699" "7597187"
9234 "2699" "7597188"
9237 "2699" "7597189"
9334 "2699" "7597169"
9366 "2699" "7597190"
9367 "2699" "7597191"
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 177

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 177 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\"" 38
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS, KANDRĖNUS, LAIČIUS" 220
"routes.txt" "route_short_name" "1A_VLP" 268
"routes.txt" "route_short_name" "523_VLP" 269
"routes.txt" "route_short_name" "518_VLP" 279
"routes.txt" "route_short_name" "2_VLP" 406
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 505
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER KANDRĖNUS, LAIČIUS" 525
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 674
"routes.txt" "route_long_name" "KUPIŠKIS - ANTAŠAVA" 884
"routes.txt" "route_short_name" "2A_VLP" 893
"routes.txt" "route_long_name" "KUPIŠKIS – ŠIMONYS PER MIGONIS" 1018
"routes.txt" "route_short_name" "1_VLP" 1063
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS" 1068
"routes.txt" "route_long_name" "KUPIŠKIS – PANEVĖŽYS" 1087
"routes.txt" "route_long_name" "UKMERGĖ- MIŠNIŪNAI PER LIAUŠIUS" 1130
"routes.txt" "route_long_name" "KUPIŠKIS – VAINIŪNIŠKIS (PER PALĖVENĖLĘ) – KUPIŠKIS" 1179
"routes.txt" "route_short_name" "4_VLP" 1214
"routes.txt" "route_short_name" "787_VLP" 1215
"routes.txt" "route_short_name" "3_VLP" 1217
"routes.txt" "route_short_name" "5_VLP" 1228
"routes.txt" "route_long_name" "KUPIŠKIS – ALIZAVA PER PALĖVENĖLĘ – KUPIŠKIS" 1257
"routes.txt" "route_long_name" "KUPIŠKIS – LAIČIAI PER KANDRĖNUS, SKAPIŠKIO MSTL." 1263
"routes.txt" "route_long_name" "ŽELVA - KIAUKLIAI" 1273
"routes.txt" "route_long_name" "KUPIŠKIS – SUBAČIAUS MST. PER LUKONIS" 1286
"stops.txt" "stop_name" "140 km" 209
"stops.txt" "stop_name" "7-asis kilometras A" 627
"stops.txt" "stop_name" "VDU klasikinio ugdymo licėjus B" 671
"stops.txt" "stop_name" "4-asis fortas B" 710
"stops.txt" "stop_name" "VDU klasikinio ugdymo licėjus A" 733
"stops.txt" "stop_name" "KTU inžinerijos licėjus B" 2273
"stops.txt" "stop_name" "140 km" 2440
"stops.txt" "stop_name" "9 kilometras" 2487
"stops.txt" "stop_name" "9 kilometras" 2488
"stops.txt" "stop_name" "40 km" 2537
"stops.txt" "stop_name" "žieda" 2560
"stops.txt" "stop_name" "16-sis kilometras" 2628
"stops.txt" "stop_name" "HARJU ELEKTER UAB" 2734
"stops.txt" "stop_name" "kulniškiai" 3575
"stops.txt" "stop_name" "140 km" 3918
"stops.txt" "stop_name" "32 kilometras" 4042
"stops.txt" "stop_name" "40 km" 4166
"stops.txt" "stop_name" "III km." 4300
"stops.txt" "stop_name" "III km." 4312
"stops.txt" "stop_name" "1-ojo forto g. B" 5372
"stops.txt" "stop_name" "23 km" 5703
"stops.txt" "stop_name" "IKI prekybos centras" 5706
"stops.txt" "stop_name" "23 km" 5713
"stops.txt" "stop_name" "11-as kilometras" 5715
"stops.txt" "stop_name" "RUKAINIŲ GIRIN." 5717
stop_too_far_from_shape WARNING 50

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.

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.
16845 "3636" "45756" 3497 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
16846 "3651" "45771" 3526 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
16496 "3653" "45773" 3527 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
17946 "43544" "8124133" 399891 "9340" "Mokykla" [55.512857000000004,26.315831] 134.01174852768767
17951 "43548" "8124139" 399929 "8484" "Mokykla" [55.513561,26.317414] 128.25393944619788
10274 "26974" "7317010" 37410 "14216" "Glaudžiai" [55.90637400000001,21.877556999999996] 1731.1842381583824
10274 "26974" "7317010" 37411 "10163" "Glaudžiai I" [55.90637400000001,21.877556999999996] 935.5388323636666
10274 "26974" "7317010" 37426 "19491" "Plungės autobusų stotis" [55.918779,21.851513000000004] 152.03315218543798
8653 "29329" "7418310" 45109 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
10643 "29328" "7418309" 45086 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
3643 "37814" "7870743" 78382 "91339" "Sūduva" [54.57502093577935,23.37188570151982] 108.83359346294479
2284 "18654" "3218451" 22799 "67434" "Geluva" [55.249732,23.511073] 140.46827403515317
19489 "32206" "7476583" 51022 "48065" "Troškūnų g." [55.521214350005486,25.097709664383384] 523.8519190658676
19489 "32206" "7476583" 51023 "48066" "Geležinkelio stotis" [55.526276,25.103853] 785.72734673045
19489 "32206" "7476583" 51024 "48068" "Kalno parduotuvė" [55.526598,25.099623999999995] 574.8082135251354
19489 "32206" "7476583" 51027 "48071" "Pušyno mikrorajonas" [55.521132,25.115296] 658.3695095777266
19489 "32206" "7476583" 51032 "48070" "Žiburio g." [55.525912999999996,25.113931000000004] 146.43308427108235
16540 "3899" "46086" 3635 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
16814 "3014" "43694" 2660 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
16652 "37872" "7870674" 76986 "91654" "Kūlokai" [54.450829999999996,23.395002] 3378.2526672161835
11709 "29420" "7429613" 45664 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
16833 "4529" "46899" 4305 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
16842 "4527" "47691" 5336 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
16806 "4528" "47692" 5337 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
2172 "14622" "7150732" 36484 "14754" "Naiviai" [55.84397975379556,25.145549112350125] 765.6219655883444
16824 "2821" "45017" 3421 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
5168 "29615" "7432118" 46152 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
6316 "29616" "7432119" 46200 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
1229 "21886" "8128860" 402208 "5846" "Grūtas" [54.032271447911626,24.074587772943918] 103.01117636409927
1284 "21885" "8128758" 400631 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
1422 "21887" "8128811" 401476 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
1584 "21891" "8128924" 403215 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
1526 "21865" "8128916" 403062 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
1405 "21872" "8128802" 401310 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
16913 "3339" "46943" 4306 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
1369 "28460" "7340051" 40232 "8316" "Tirkšlių paviljonas" [56.262579012838884,22.304642653254728] 376.76730742519857
4048 "11705" "747606" 14963 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
4735 "6511" "54507" 8774 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
4525 "6509" "54501" 8720 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
4737 "6513" "54509" 8798 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
1716 "29093" "7413976" 42886 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
1715 "29092" "7413975" 42856 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
5279 "5232" "56646" 8900 "14684" "Lieplaukalė" [55.9354974471734,21.831098374058865] 152.04079667279404
16825 "3514" "45563" 3444 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
16494 "3537" "45591" 3469 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
2561 "17131" "2515700" 21068 "16347" "Sudervė" [54.761036,25.063001999999997] 2603.225038082936
16541 "3574" "45644" 3470 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
16839 "3617" "45754" 3496 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
1656 "15331" "2211799" 17832 "6964" "Mikieriai" [55.66300100000001,25.169295] 153.6142678364674
10187 "15330" "2211797" 17819 "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.
12518 "29269" "7429480" 45160 "22015" "Graužiečiai" [55.224458,24.844213] 45159 "21701" "Vaisgeliškiai" [55.21389948434742,24.843246782879064]
5033 "3645" "57657" 10915 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 10914 "12152" "Jonaičiai" [55.34641499999999,21.570023]
5006 "3667" "57730" 11054 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 11053 "13926" "Jonaičiai" [55.346103,21.568929]
4748 "3714" "57735" 11112 "13926" "Jonaičiai" [55.346103,21.568929] 11111 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
16435 "13808" "1228372" 16694 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 16693 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
3798 "17480" "2657524" 21482 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 21481 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
11971 "28435" "7339430" 40167 "64819" "Suostas" [56.32837413018391,24.713657886432735] 40166 "16112" "Svydžiai" [56.352930797976754,24.686322368913352]
11969 "28434" "7339429" 40143 "10057" "Svydžiai" [56.35334128457164,24.685572701413516] 40142 "64820" "Suostas" [56.32837775901334,24.713656830174433]
5003 "6591" "57635" 10575 "13926" "Jonaičiai" [55.346103,21.568929] 10574 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
4742 "3554" "57640" 10653 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 10652 "12152" "Jonaičiai" [55.34641499999999,21.570023]
7608 "29102" "7413991" 42980 "71231" "Žuvintai" [54.448579423202126,23.62330650767253] 42979 "71255" "Litvanciškai" [54.41436513808293,23.67340583550103]
10372 "40377" "8016002" 110207 "72301" "Kirlikai" [55.32834500402225,21.565359093761266] 110206 "97223" "Tarvydai I" [55.328604,21.56423]
12604 "40378" "8016003" 110216 "71683" "Tarvydai II" [55.31814711876975,21.598011981975805] 110215 "97223" "Tarvydai I" [55.328604,21.56423]
5252 "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