GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2025-12-20T06:07:55+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: 40
  • Blocks: 0
  • Routes: 1368
  • Shapes: 3694
  • Stops: 13523
  • Trips: 24378

Specification Compliance report

119967 notices reported (0 errors, 119934 warnings, 33 infos)

Notice Code Severity Total
duplicate_route_name WARNING 39

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`.
80 "18256" 93 "18349" "M-163" "Kaunas-Babtai-Labūnava" 3 "14"
68 "18284" 202 "18350" "M-199" "Kaunas-Voškoniai-Vandžiogala-Labūnava" 3 "14"
200 "6209" 233 "18329" "M1" "Alytus - Geniai" 3 "48"
38 "18282" 253 "18374" "M-179" "Kaunas-Vaišvydava-Viršužiglis-Arlaviškės" 3 "14"
102 "18293" 350 "18382" "M-151" "Kaunas-Ramučiai" 3 "14"
159 "18377" 406 "18279" "M-140" "Kauno pilis-Garliava-Mastaičiai-Kampiškiai" 3 "14"
434 "18273" 436 "18378" "M-153" "Kaunas-Vilkija-Liučiūnai-Čekiškė" 3 "14"
186 "18250" 437 "18383" "M-154" "Čekiškė - Daugėliškiai - Vilkija - Kaunas" 3 "14"
351 "18352" 442 "18260" "M-181" "Kaunas-Noreikiškės-Ringaudai-Tabariškiai-Gelžkeliuko g." 3 "14"
36 "18253" 451 "18346" "M-165" "Kaunas-Kačerginė-Zapyškis-Lekėčiai" 3 "14"
107 "18354" 598 "18261" "M-166" "Kaunas-Kačerginė-Zapyškis-Šėtijų stotelė" 3 "14"
560 "18277" 607 "18366" "M-148" "Kaunas-Domeikava-SB\"Didžiosios Lapės\"" 3 "14"
381 "18275" 608 "18373" "M-159" "Kaunas-Mastaičiai-Pažėrai-SB\"Aronija\"-Smėlio g." 3 "14"
79 "18286" 615 "18385" "M-166" "Kaunas-Raudondvario pl.-Ringaudai-Tabariškiai" 3 "14"
526 "18246" 682 "18380" "M-120" "Karmėlava-Ramučiai" 3 "14"
240 "18353" 712 "18264" "M-156" "Kaunas - Neveronys" 3 "14"
185 "18270" 729 "18357" "M-157" "Kaunas-Kačerginė-Zapyškis-Ežerėlis" 3 "14"
428 "18367" 763 "18269" "M-149" "Kaunas-Vaišvydava-Gervėnupis" 3 "14"
711 "18296" 777 "18347" "M-172" "Kaunas-Margininkai-Piliuona-Pakuonis" 3 "14"
614 "18381" 878 "18292" "M-106" "Kaunas-Jonučiai-Garliava-Jurginiškiai" 3 "14"
716 "18365" 882 "18235" "M-161" "Kaunas-Raudondvaris-Netoniai- Kulautuva" 3 "14"
278 "18386" 883 "18257" "M-180" "Kaunas-Ringaudai-Tabariškiai-Girininkai" 3 "14"
784 "18358" 884 "18307" "M-150" "Kaunas-Ramučiai-Karmėlava-Salupiai-SB\"Inkaras\"" 3 "14"
728 "18362" 923 "18266" "M-194" "Kauno pilis-Garliava-Linksmakalnis" 3 "14"
782 "18351" 924 "18301" "M-189" "Kaunas - Drąseikiai - Batėgala" 3 "14"
718 "16052" 938 "6212" "M23" "Alytus - Punia - Butrimonys - Eigirdonys" 3 "48"
563 "18232" 940 "18369" "M-135" "Kaunas - Rokai - Girininkai" 3 "14"
286 "18361" 946 "18263" "M-167" "Kaunas-Raudondvaris-Padauguva-Vilkija" 3 "14"
90 "18370" 1042 "18241" "M-198" "Kaunas - Vandžiogala - Boniškiai" 3 "14"
618 "18265" 1096 "18364" "M-120" "Kaunas-Karmėlavos kapinės" 3 "14"
952 "18356" 1097 "18304" "M-151(A)" "Kaunas-Urban HUB-LEZ-Kaunas" 3 "14"
399 "3645" 1217 "8681" "144" "Vilnius (Žalgirio stotelė) – Nemenčinė per Pikeliškes" 3 "53"
201 "18308" 1222 "18363" "M-197" "Kaunas-Babtai-Panevėžiukas (SB\"Vija\")" 3 "14"
796 "18372" 1265 "18276" "M-146" "Kaunas-Žiegždriai" 3 "14"
681 "18348" 1274 "18297" "M-108" "Kaunas-Ireniškiai-Seniava" 3 "14"
561 "18272" 1280 "18371" "M-103" "Kauno pilis-SB\"Lokomotyvas\"-Babtai" 3 "14"
99 "18368" 1288 "18274" "M-170" "Kaunas-Vilkija-Purviškiai-Čekiškė" 3 "14"
1296 "18262" 1302 "18359" "M-180A" "Kaunas-Akademija-Bajorai-Girininkų miškas" 3 "14"
431 "18240" 1361 "18379" "M-104" "Kaunas-Ražiškiai-Karkazai-Kreidos g.-Seniava" 3 "14"
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" 506789 29882.7 878 506788 29882.7 877 0.12791084993239907
"2328" 415687 35929.8 642 415686 35929.8 641 0.11119510090982554
"3659" 501839 49657.5 1177 501838 49657.5 1176 0.12791084993239907
"2369" 401027 63265.5 1261 401026 63265.5 1260 0.11119510090982554
"2385" 610597 69168.3 1771 610596 69168.3 1770 0.06441976500794575
"28733" 2280140 71509.2 1569 2280139 71509.2 1568 0.06441976500794575
"1919" 776113 136875.8 2842 776112 136875.8 2841 0.12752942403551987
"1919" 776116 136876.0 2845 776115 136876.0 2844 0.11119510090982554
"1919" 776123 136876.5 2852 776122 136876.5 2851 0.11119510232447394
"1919" 776126 136876.7 2855 776125 136876.7 2854 0.11119510161714974
"1919" 776129 136876.9 2858 776128 136876.9 2857 0.12752941555597483
"1919" 776138 136877.5 2867 776137 136877.5 2866 0.11119510090982554
"1919" 776141 136877.7 2870 776140 136877.7 2869 0.11119510161714974
"1919" 776144 136877.9 2873 776143 136877.9 2872 0.11119510090982554
"1919" 776151 136878.4 2880 776150 136878.4 2879 0.11119510090982554
"1919" 776154 136878.6 2883 776153 136878.6 2882 0.11119510161714974
"1919" 776163 136879.2 2892 776162 136879.2 2891 0.11119510090982554
"1919" 776166 136879.4 2895 776165 136879.4 2894 0.12752939825777979
"1919" 776169 136879.6 2898 776168 136879.6 2897 0.11119510161714974
"1919" 776178 136880.2 2907 776177 136880.2 2906 0.11119510161714974
"1919" 776182 136880.5 2911 776181 136880.5 2910 0.06244513630731429
"1919" 776188 136880.9 2917 776187 136880.9 2916 0.11119510161714974
"1919" 776191 136881.1 2920 776190 136881.1 2919 0.11119510090982554
"1919" 776194 136881.3 2923 776193 136881.3 2922 0.11119510090982554
"1919" 776203 136881.9 2932 776202 136881.9 2931 0.12752938095958766
"1919" 776206 136882.1 2935 776205 136882.1 2934 0.11119510161714974
"1919" 776217 136882.8 2946 776216 136882.8 2945 0.11119510161714974
"1919" 776222 136883.1 2951 776221 136883.1 2950 0.11119510161714974
"1919" 776230 136883.6 2959 776229 136883.6 2958 0.11119510090982554
"1919" 776235 136883.9 2964 776234 136883.9 2963 0.11119510090982554
"1919" 776248 136884.7 2977 776247 136884.7 2976 0.11119510161714974
"1919" 776250 136884.8 2979 776249 136884.8 2978 0.11119510090982554
"1919" 776253 136885.0 2982 776252 136885.0 2981 0.11119510161714974
"1919" 776261 136885.5 2990 776260 136885.5 2989 0.1275293557985862
"1919" 776263 136885.6 2992 776262 136885.6 2991 0.11119510161714974
"1919" 776266 136885.8 2995 776265 136885.8 2994 0.11119510090982554
"1919" 776268 136885.9 2997 776267 136885.9 2996 0.11119510232447394
"1919" 776274 136886.3 3003 776273 136886.3 3002 0.06244505260741443
"1919" 776279 136886.6 3008 776278 136886.6 3007 0.11119510161714974
"1919" 776281 136886.7 3010 776280 136886.7 3009 0.11119510090982554
"1919" 776284 136886.9 3013 776283 136886.9 3012 0.11119510090982554
"1919" 776286 136887.0 3015 776285 136887.0 3014 0.11119510090982554
"1919" 776292 136887.4 3021 776291 136887.4 3020 0.11119510090982554
"1919" 776294 136887.5 3023 776293 136887.5 3022 0.11119510161714974
"1919" 776297 136887.7 3026 776296 136887.7 3025 0.11119510090982554
"1919" 776299 136887.8 3028 776298 136887.8 3027 0.11119510161714974
"1919" 776310 136888.5 3039 776309 136888.5 3038 0.11119510161714974
"1919" 776312 136888.6 3041 776311 136888.6 3040 0.11119510090982554
"1919" 776315 136888.8 3044 776314 136888.8 3043 0.11119510090982554
"1919" 776324 136889.4 3053 776323 136889.4 3052 0.11119510161714974
equal_shape_distance_same_coordinates WARNING 14433

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 14433 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`.
"46602" 3109397 1807.0 30 3109396 1807.0 29
"46602" 3109427 3452.5 60 3109426 3452.5 59
"46602" 3109444 4217.0 77 3109443 4217.0 76
"46602" 3109459 5516.2 92 3109458 5516.2 91
"46602" 3109489 7228.2 122 3109488 7228.2 121
"46602" 3109499 7795.1 132 3109498 7795.1 131
"46602" 3109529 9320.6 162 3109528 9320.6 161
"46602" 3109538 10750.3 171 3109537 10750.3 170
"46602" 3109563 15382.3 196 3109562 15382.3 195
"46602" 3109593 20959.2 226 3109592 20959.2 225
"46602" 3109621 22063.0 254 3109620 22063.0 253
"46602" 3109639 27498.4 272 3109638 27498.4 271
"46602" 3109647 28586.5 280 3109646 28586.5 279
"46602" 3109655 28736.2 288 3109654 28736.2 287
"46602" 3109659 28794.0 292 3109658 28794.0 291
"46602" 3109664 29159.3 297 3109663 29159.3 296
"46602" 3109674 29959.9 307 3109673 29959.9 306
"46602" 3109680 30754.4 313 3109679 30754.4 312
"46602" 3109686 31212.6 319 3109685 31212.6 318
"46602" 3109707 34332.8 340 3109706 34332.8 339
"46602" 3109740 37879.5 373 3109739 37879.5 372
"46602" 3109755 40204.0 388 3109754 40204.0 387
"46602" 3109775 42614.9 408 3109774 42614.9 407
"46602" 3109788 43598.2 421 3109787 43598.2 420
"46602" 3109800 44049.2 433 3109799 44049.2 432
"46602" 3109816 45566.6 449 3109815 45566.6 448
"46603" 3109830 2322.8 14 3109829 2322.8 13
"46603" 3109832 4635.2 16 3109831 4635.2 15
"46603" 3109840 7616.1 24 3109839 7616.1 23
"46603" 3109853 9283.4 37 3109852 9283.4 36
"46603" 3109864 10014.8 48 3109863 10014.8 47
"46603" 3109882 11300.5 66 3109881 11300.5 65
"46603" 3109888 12462.6 72 3109887 12462.6 71
"46603" 3109894 13513.8 78 3109893 13513.8 77
"46603" 3109900 14163.0 84 3109899 14163.0 83
"46603" 3109907 15426.7 91 3109906 15426.7 90
"46603" 3109914 16282.2 98 3109913 16282.2 97
"46603" 3109924 17762.3 108 3109923 17762.3 107
"46603" 3109935 19202.3 119 3109934 19202.3 118
"46603" 3109957 22036.2 141 3109956 22036.2 140
"46603" 3109970 23211.6 154 3109969 23211.6 153
"46603" 3109993 24339.5 177 3109992 24339.5 176
"46603" 3110011 26197.7 195 3110010 26197.7 194
"46603" 3110024 27133.3 208 3110023 27133.3 207
"46603" 3110033 27821.7 217 3110032 27821.7 216
"46603" 3110040 28241.8 224 3110039 28241.8 223
"46603" 3110046 28806.3 230 3110045 28806.3 229
"46603" 3110067 29525.8 251 3110066 29525.8 250
"46603" 3110105 31130.7 289 3110104 31130.7 288
"46603" 3110115 31762.2 299 3110114 31762.2 298
expired_calendar WARNING 84

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 84 affected records are displayed below.

csvRowNumber (?) The row of the faulty record. serviceId (?) The service id of the faulty record.
6 "1076"
1618 "73341"
3083 "2499"
1561 "1256"
1557 "1271"
6249 "1294"
10914 "24602"
2 "1339"
3080 "2685"
10911 "12709"
4681 "1379"
6273 "2737"
7815 "2766"
1576 "60347"
8 "1461"
7828 "47502"
9396 "2814"
6277 "2849"
6278 "2852"
7817 "2850"
4696 "2980"
7816 "2975"
3081 "2974"
9395 "2972"
6431 "71430"
6430 "71429"
7842 "60928"
7839 "60959"
6288 "47985"
10907 "1954"
3101 "60890"
9403 "20239"
10915 "20237"
7995 "70927"
164 "70933"
10913 "17222"
9401 "31530"
7823 "17343"
23 "43774"
9549 "66498"
9550 "66499"
1718 "66524"
10902 "678"
7993 "66871"
1720 "66872"
7992 "66870"
4848 "66875"
6427 "66879"
4849 "66877"
3234 "66878"
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.
11551 "8093432" "17272" 196.9887428340989 3.283145713901648 241952 17 "99227" "Krekenava" "14:03:00" 241953 18 "99243" "Rabikiai" "14:03:00"
1937 "8091136" "17220" 196.9887428340989 3.283145713901648 223187 17 "98468" "Krekenava" "14:03:00" 223188 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.
684 "2699" "7597164"
687 "2699" "7597165"
688 "2699" "7597166"
689 "2699" "7597167"
750 "2699" "7597125"
752 "2699" "7597126"
753 "2699" "7597127"
828 "2699" "7597150"
829 "2699" "7597151"
830 "2699" "7597153"
831 "2699" "7597154"
839 "2699" "7597155"
840 "2699" "7597156"
841 "2699" "7597157"
842 "2699" "7597158"
843 "2699" "7597159"
844 "2699" "7597160"
845 "2699" "7597161"
857 "2699" "7597162"
858 "2699" "7597163"
4253 "2699" "7597169"
9994 "2699" "7597134"
9995 "2699" "7597135"
9996 "2699" "7597136"
9997 "2699" "7597137"
9998 "2699" "7597138"
9999 "2699" "7597139"
10039 "2699" "7597182"
10040 "2699" "7597183"
10041 "2699" "7597184"
10042 "2699" "7597185"
10078 "2699" "7597140"
10079 "2699" "7597141"
10080 "2699" "7597142"
10081 "2699" "7597143"
10082 "2699" "7597144"
10083 "2699" "7597145"
10084 "2699" "7597146"
10102 "2699" "7597186"
10103 "2699" "7597187"
10140 "2699" "7597188"
10143 "2699" "7597189"
10170 "2699" "7597190"
10171 "2699" "7597191"
10172 "2699" "7597192"
10212 "2699" "7597147"
10223 "2699" "7597193"
10224 "2699" "7597194"
10225 "2699" "7597195"
10227 "2699" "7597196"
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 1036

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 1036 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\"" 40
"routes.txt" "route_short_name" "518_VLP" 217
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS, KANDRĖNUS, LAIČIUS" 225
"routes.txt" "route_short_name" "1A_VLP" 226
"routes.txt" "route_short_name" "523_VLP" 231
"routes.txt" "route_short_name" "40-DT" 244
"routes.txt" "route_long_name" "RIMKAI-MAXIMA-ŠVEICARIJA" 249
"routes.txt" "route_long_name" "JONAVA-GAIŽIŪNŲ STOTIS" 250
"routes.txt" "route_long_name" "JONAVA-JUŠKONYS" 251
"routes.txt" "route_short_name" "2_VLP" 384
"routes.txt" "route_long_name" "JONAVA-BUKONYS" 418
"routes.txt" "route_long_name" "JONAVA-KAUNAS" 419
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-GLOBOS NAMAI-RIMKAI" 420
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 424
"routes.txt" "route_long_name" "JONAVA-KULVA PER JUODMENĄ" 432
"routes.txt" "route_long_name" "JONAVA-PREIŠIOGALĖLĖ-ŽINĖNAI-JONAVA" 449
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 599
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER KANDRĖNUS, LAIČIUS" 606
"routes.txt" "route_long_name" "JONAVA-ŠĖTA" 610
"routes.txt" "route_long_name" "JONAVA-KULVA" 617
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 770
"routes.txt" "route_long_name" "JONAVA-RUKLA" 773
"routes.txt" "route_long_name" "JONAVA - PAGELEŽIAI" 776
"routes.txt" "route_short_name" "2A_VLP" 889
"routes.txt" "route_long_name" "KUPIŠKIS - ANTAŠAVA" 896
"routes.txt" "route_long_name" "JONAVA-KUIGALIAI PER NAUJASODĮ" 925
"routes.txt" "route_long_name" "ŠIRVINTOS - UKMERGĖ - ŠIRVINTOS" 928
"routes.txt" "route_long_name" "KUPIŠKIS – ŠIMONYS PER MIGONIS" 1026
"routes.txt" "route_short_name" "1_VLP" 1051
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS" 1060
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI" 1083
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI-BUKONYS-ŠILAI-JONAVA" 1085
"routes.txt" "route_long_name" "JONAVA-KĖDAINIAI" 1088
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 1100
"routes.txt" "route_long_name" "KUPIŠKIS – PANEVĖŽYS" 1133
"routes.txt" "route_short_name" "50AB" 1177
"routes.txt" "route_long_name" "ŽELVA - KIAUKLIAI" 1210
"routes.txt" "route_long_name" "KUPIŠKIS – VAINIŪNIŠKIS (PER PALĖVENĖLĘ) – KUPIŠKIS" 1218
"routes.txt" "route_short_name" "3_VLP" 1228
"routes.txt" "route_short_name" "5_VLP" 1231
"routes.txt" "route_short_name" "4_VLP" 1232
"routes.txt" "route_short_name" "787_VLP" 1241
"routes.txt" "route_long_name" "KUPIŠKIS – LAIČIAI PER KANDRĖNUS, SKAPIŠKIO MSTL." 1259
"routes.txt" "route_long_name" "UKMERGĖ- MIŠNIŪNAI PER LIAUŠIUS" 1261
"routes.txt" "route_long_name" "JONAVA-UPININKAI" 1267
"routes.txt" "route_long_name" "JONAVA-ŽEIMIAI" 1278
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-JUODMENA-RIMKAI" 1279
"routes.txt" "route_long_name" "JONAVA-ŽINĖNAI-PREIŠIOGALĖLĖ-JONAVA" 1281
"routes.txt" "route_long_name" "KUPIŠKIS – ALIZAVA PER PALĖVENĖLĘ – KUPIŠKIS" 1317
"routes.txt" "route_long_name" "KUPIŠKIS – SUBAČIAUS MST. PER LUKONIS" 1340
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.
14481 "3636" "45756" 3497 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
14482 "3651" "45771" 3526 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
13837 "3653" "45773" 3527 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
24086 "43544" "8124133" 394173 "9340" "Mokykla" [55.512857000000004,26.315831] 134.01174852768767
24091 "43548" "8124139" 394211 "8484" "Mokykla" [55.513561,26.317414] 128.25393944619788
11175 "26974" "7317010" 36606 "14216" "Glaudžiai" [55.90637400000001,21.877556999999996] 1731.1842381583824
11175 "26974" "7317010" 36607 "10163" "Glaudžiai I" [55.90637400000001,21.877556999999996] 935.5388323636666
11175 "26974" "7317010" 36622 "19491" "Plungės autobusų stotis" [55.918779,21.851513000000004] 152.03315218543798
2474 "29329" "7418310" 44040 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
12770 "29328" "7418309" 44017 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
5098 "37814" "7870743" 73690 "91339" "Sūduva" [54.57502093577935,23.37188570151982] 108.83359346294479
14236 "6003" "52856" 6188 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
13939 "6005" "52858" 6197 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
13952 "6004" "52857" 6193 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
13885 "6007" "52859" 6204 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
14223 "6008" "52860" 6209 "8356" "Plinkšės" [56.146646000000004,22.177096] 708.0755710896237
4649 "18654" "3218451" 22338 "67434" "Geluva" [55.249732,23.511073] 140.46827403515317
20518 "32206" "7476583" 49935 "48065" "Troškūnų g." [55.521214350005486,25.097709664383384] 523.8519190658676
20518 "32206" "7476583" 49936 "48066" "Geležinkelio stotis" [55.526276,25.103853] 785.72734673045
20518 "32206" "7476583" 49937 "48068" "Kalno parduotuvė" [55.526598,25.099623999999995] 574.8082135251354
20518 "32206" "7476583" 49940 "48071" "Pušyno mikrorajonas" [55.521132,25.115296] 658.3695095777266
20518 "32206" "7476583" 49945 "48070" "Žiburio g." [55.525912999999996,25.113931000000004] 146.43308427108235
14147 "3899" "46086" 3635 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
14200 "3014" "43694" 2660 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
14693 "37872" "7870674" 72294 "91654" "Kūlokai" [54.450829999999996,23.395002] 3378.2526672161835
12984 "29420" "7429613" 44577 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
14219 "4529" "46899" 4305 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
14478 "4527" "47691" 5336 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
14192 "4528" "47692" 5337 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
4868 "14622" "7150733" 35695 "14754" "Naiviai" [55.84397975379556,25.145549112350125] 765.6219655883444
14210 "2821" "45017" 3421 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
6792 "29615" "7432118" 45065 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
2642 "29616" "7432119" 45113 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
5747 "21886" "7846786" 66185 "5846" "Grūtas" [54.032271447911626,24.074587772943918] 103.01117636409927
871 "21885" "8128771" 395105 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
8549 "21887" "8128791" 395435 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
5988 "21891" "7846924" 67428 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
8062 "21865" "8128916" 397344 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
880 "21872" "8128779" 395213 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
14549 "3339" "46943" 4306 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
4819 "45952" "8148145" 428170 "70878" "Šveicarija" [55.04546,24.25836] 149.18478145589043
6108 "11705" "747606" 14714 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
14246 "6511" "54507" 8774 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
13857 "6509" "54501" 8720 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
14248 "6513" "54509" 8798 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
4541 "29093" "7413976" 41843 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
4540 "29092" "7413975" 41813 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
6160 "5232" "56646" 8900 "14684" "Lieplaukalė" [55.9354974471734,21.831098374058865] 152.04079667279404
9724 "27242" "7322653" 37991 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
9721 "27240" "7322650" 37945 "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.
14915 "3645" "57657" 10915 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 10914 "12152" "Jonaičiai" [55.34641499999999,21.570023]
14891 "3667" "57730" 11054 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 11053 "13926" "Jonaičiai" [55.346103,21.568929]
14259 "3714" "57735" 11112 "13926" "Jonaičiai" [55.346103,21.568929] 11111 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
14405 "13808" "1228372" 16445 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 16444 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
5847 "17480" "2657524" 21021 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 21020 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
12170 "28435" "7339430" 39363 "64819" "Suostas" [56.32837413018391,24.713657886432735] 39362 "16112" "Svydžiai" [56.352930797976754,24.686322368913352]
12168 "28434" "7339429" 39339 "10057" "Svydžiai" [56.35334128457164,24.685572701413516] 39338 "64820" "Suostas" [56.32837775901334,24.713656830174433]
14888 "6591" "57635" 10575 "13926" "Jonaičiai" [55.346103,21.568929] 10574 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
6138 "3554" "57643" 10719 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 10718 "12152" "Jonaičiai" [55.34641499999999,21.570023]
9643 "29102" "7413991" 41937 "71231" "Žuvintai" [54.448579423202126,23.62330650767253] 41936 "71255" "Litvanciškai" [54.41436513808293,23.67340583550103]
11270 "40377" "8016002" 105431 "72301" "Kirlikai" [55.32834500402225,21.565359093761266] 105430 "97223" "Tarvydai I" [55.328604,21.56423]
8086 "40378" "8016003" 105440 "71683" "Tarvydai II" [55.31814711876975,21.598011981975805] 105439 "97223" "Tarvydai I" [55.328604,21.56423]
6133 "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