GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2026-11-03T06:12:16+02:00,
for the dataset https://www.visimarsrutai.lt/gtfs/google_transit.zip. No country code was provided.

Use this report alongside our documentation.

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: 55
  • Blocks: 0
  • Routes: 1844
  • Shapes: 5504
  • Stops: 20445
  • Trips: 48839

Specification Compliance report

27586 notices reported (0 errors, 27554 warnings, 32 infos)

Notice Code Severity Total
duplicate_route_name WARNING 4

duplicate_route_name

Two distinct routes have either the same route_short_name, the same route_long_name, or the same combination of route_short_name and route_long_name.

All routes of the same route_type with the same agency_id should have unique combinations of route_short_name and route_long_name.

Note that there may be valid cases where routes have the same short and long name, e.g., if they serve different areas. However, different directions must be modeled as the same route.

Example of bad data:

route_id route_short_name route_long_name
route1 U1 Southern
route2 U1 Southern

You can see more about this notice here.

csvRowNumber1 (?) The row number of the first occurrence. routeId1 (?) The id of the the first occurrence. csvRowNumber2 (?) The row number of the other occurrence. routeId2 (?) The id of the the other occurrence. routeShortName (?) Common `routes.route_short_name`. routeLongName (?) Common `routes.route_long_name`. routeTypeValue (?) Common `routes.route_type`. agencyId (?) Common `routes.agency_id`.
403 "48_23378" 1258 "48_6209" "M1" "Alytus - Geniai" 3 "48"
982 "30_21685" 1363 "30_21748" "R2" "Tauragė - Šilalė" 3 "30"
995 "48_6212" 1371 "48_23330" "M23" "Alytus - Punia - Butrimonys - Eigirdonys" 3 "48"
504 "53_8681" 1425 "53_3645" "144" "Vilnius (Žalgirio stotelė) – Nemenčinė per Pikeliškes" 3 "53"
equal_shape_distance_diff_coordinates_distance_below_threshold WARNING 3376

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 3376 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" 510868 29882.7 878 510867 29882.7 877 0.12791084993239907
"2328" 429675 35929.8 642 429674 35929.8 641 0.11119510090982554
"3659" 505918 49657.5 1177 505917 49657.5 1176 0.12791084993239907
"42205" 3682623 57850.1 335 3682622 57850.1 334 0.06178544815632574
"2369" 423511 63265.5 1261 423510 63265.5 1260 0.11119510090982554
"2385" 615223 69168.3 1771 615222 69168.3 1770 0.06441976500794575
"28733" 2225965 71509.2 1569 2225964 71509.2 1568 0.06441976500794575
"1919" 746132 136875.8 2842 746131 136875.8 2841 0.12752942403551987
"1919" 746135 136876.0 2845 746134 136876.0 2844 0.11119510090982554
"1919" 746142 136876.5 2852 746141 136876.5 2851 0.11119510232447394
"1919" 746145 136876.7 2855 746144 136876.7 2854 0.11119510161714974
"1919" 746148 136876.9 2858 746147 136876.9 2857 0.12752941555597483
"1919" 746157 136877.5 2867 746156 136877.5 2866 0.11119510090982554
"1919" 746160 136877.7 2870 746159 136877.7 2869 0.11119510161714974
"1919" 746163 136877.9 2873 746162 136877.9 2872 0.11119510090982554
"1919" 746170 136878.4 2880 746169 136878.4 2879 0.11119510090982554
"1919" 746173 136878.6 2883 746172 136878.6 2882 0.11119510161714974
"1919" 746182 136879.2 2892 746181 136879.2 2891 0.11119510090982554
"1919" 746185 136879.4 2895 746184 136879.4 2894 0.12752939825777979
"1919" 746188 136879.6 2898 746187 136879.6 2897 0.11119510161714974
"1919" 746197 136880.2 2907 746196 136880.2 2906 0.11119510161714974
"1919" 746201 136880.5 2911 746200 136880.5 2910 0.06244513630731429
"1919" 746207 136880.9 2917 746206 136880.9 2916 0.11119510161714974
"1919" 746210 136881.1 2920 746209 136881.1 2919 0.11119510090982554
"1919" 746213 136881.3 2923 746212 136881.3 2922 0.11119510090982554
"1919" 746222 136881.9 2932 746221 136881.9 2931 0.12752938095958766
"1919" 746225 136882.1 2935 746224 136882.1 2934 0.11119510161714974
"1919" 746236 136882.8 2946 746235 136882.8 2945 0.11119510161714974
"1919" 746241 136883.1 2951 746240 136883.1 2950 0.11119510161714974
"1919" 746249 136883.6 2959 746248 136883.6 2958 0.11119510090982554
"1919" 746254 136883.9 2964 746253 136883.9 2963 0.11119510090982554
"1919" 746267 136884.7 2977 746266 136884.7 2976 0.11119510161714974
"1919" 746269 136884.8 2979 746268 136884.8 2978 0.11119510090982554
"1919" 746272 136885.0 2982 746271 136885.0 2981 0.11119510161714974
"1919" 746280 136885.5 2990 746279 136885.5 2989 0.1275293557985862
"1919" 746282 136885.6 2992 746281 136885.6 2991 0.11119510161714974
"1919" 746285 136885.8 2995 746284 136885.8 2994 0.11119510090982554
"1919" 746287 136885.9 2997 746286 136885.9 2996 0.11119510232447394
"1919" 746293 136886.3 3003 746292 136886.3 3002 0.06244505260741443
"1919" 746298 136886.6 3008 746297 136886.6 3007 0.11119510161714974
"1919" 746300 136886.7 3010 746299 136886.7 3009 0.11119510090982554
"1919" 746303 136886.9 3013 746302 136886.9 3012 0.11119510090982554
"1919" 746305 136887.0 3015 746304 136887.0 3014 0.11119510090982554
"1919" 746311 136887.4 3021 746310 136887.4 3020 0.11119510090982554
"1919" 746313 136887.5 3023 746312 136887.5 3022 0.11119510161714974
"1919" 746316 136887.7 3026 746315 136887.7 3025 0.11119510090982554
"1919" 746318 136887.8 3028 746317 136887.8 3027 0.11119510161714974
"1919" 746329 136888.5 3039 746328 136888.5 3038 0.11119510161714974
"1919" 746331 136888.6 3041 746330 136888.6 3040 0.11119510090982554
"1919" 746334 136888.8 3044 746333 136888.8 3043 0.11119510090982554
equal_shape_distance_same_coordinates WARNING 21734

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 21734 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" 3096755 350.5 28 3096754 350.5 27
"43541" 3096766 811.7 39 3096765 811.7 38
"43541" 3096805 1779.8 78 3096804 1779.8 77
"43541" 3096849 3184.3 122 3096848 3184.3 121
"43541" 3096882 4418.1 155 3096881 4418.1 154
"43541" 3096898 4854.6 171 3096897 4854.6 170
"43541" 3096947 6561.9 220 3096946 6561.9 219
"43541" 3096983 7544.1 256 3096982 7544.1 255
"43541" 3097022 8757.6 295 3097021 8757.6 294
"43541" 3097039 9358.6 312 3097038 9358.6 311
"43541" 3097066 9709.1 339 3097065 9709.1 338
"43541" 3097112 10376.7 385 3097111 10376.7 384
"43541" 3097165 11116.1 438 3097164 11116.1 437
"43541" 3097196 11700.4 469 3097195 11700.4 468
"43541" 3097227 12284.8 500 3097226 12284.8 499
"43541" 3097488 14358.7 761 3097487 14358.7 760
"43541" 3097564 14706.8 837 3097563 14706.8 836
"43541" 3097664 15301.6 937 3097663 15301.6 936
"43541" 3097764 15896.4 1037 3097763 15896.4 1036
"43541" 3097840 16244.5 1113 3097839 16244.5 1112
"43541" 3098038 17133.2 1311 3098037 17133.2 1310
"43541" 3098281 18161.9 1554 3098280 18161.9 1553
"43541" 3098306 18472.3 1579 3098305 18472.3 1578
"43541" 3098356 18976.3 1629 3098355 18976.3 1628
"43541" 3098503 19673.4 1776 3098502 19673.4 1775
"43541" 3098732 21285.9 2005 3098731 21285.9 2004
"43541" 3098808 22756.6 2081 3098807 22756.6 2080
"43541" 3098884 24227.3 2157 3098883 24227.3 2156
"43541" 3098923 24719.6 2196 3098922 24719.6 2195
"43541" 3098940 25292.2 2213 3098939 25292.2 2212
"43541" 3098959 25625.9 2232 3098958 25625.9 2231
"43541" 3099047 26736.7 2320 3099046 26736.7 2319
"43541" 3099134 27236.5 2407 3099133 27236.5 2406
"43541" 3099183 28436.1 2456 3099182 28436.1 2455
"43541" 3099222 28928.5 2495 3099221 28928.5 2494
"43541" 3099273 29639.4 2546 3099272 29639.4 2545
"43541" 3099504 30811.2 2777 3099503 30811.2 2776
"43541" 3099580 31159.3 2853 3099579 31159.3 2852
"43541" 3099680 31754.1 2953 3099679 31754.1 2952
"43541" 3099780 32348.9 3053 3099779 32348.9 3052
"43541" 3099856 32697.0 3129 3099855 32697.0 3128
"43541" 3100054 33585.6 3327 3100053 33585.6 3326
"43541" 3100338 35228.5 3611 3100337 35228.5 3610
"43541" 3100391 35967.9 3664 3100390 35967.9 3663
"43541" 3100422 36552.2 3695 3100421 36552.2 3694
"43541" 3100453 37136.6 3726 3100452 37136.6 3725
"43531" 2089474 1036.1 44 2089473 1036.1 43
"43531" 2089503 1669.1 73 2089502 1669.1 72
"43531" 2089530 2285.2 100 2089529 2285.2 99
"43531" 2089571 4091.8 141 2089570 4091.8 140
expired_calendar WARNING 260

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 260 affected records are displayed below.

csvRowNumber (?) The row of the faulty record. serviceId (?) The service id of the faulty record.
4987 "73341"
4948 "1271"
15127 "24597"
20176 "24598"
9987 "1514"
54 "95599"
4970 "44515"
4969 "44517"
20634 "68777"
2981 "91022"
27958 "91028"
320 "68873"
25446 "68872"
25445 "68871"
35201 "68878"
20508 "68875"
5295 "68870"
25448 "68883"
30265 "68886"
5298 "68890"
25435 "68830"
20494 "68833"
30255 "68832"
306 "68831"
10321 "68837"
35190 "68843"
10325 "68862"
25443 "68866"
25442 "68864"
358 "68992"
25465 "68990"
15435 "68910"
5312 "68914"
35209 "68918"
335 "68916"
5314 "68921"
338 "68926"
337 "68925"
15443 "68929"
35210 "68930"
20519 "68937"
20518 "68934"
340 "68941"
25457 "68948"
35212 "68946"
15444 "68945"
10346 "68950"
25459 "68955"
10349 "68959"
15447 "68958"
fast_travel_between_consecutive_stops WARNING 20

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.
26558 "26_214-20261101" "26_24666" 248.17705011392752 4.136284168565458 955477 2 "26_312" "Rotinėnai" "08:21:00" 955478 3 "26_286" "Žerniai" "08:21:00"
27293 "26_542-20261101" "26_24666" 248.17705011392752 4.136284168565458 957381 2 "26_312" "Rotinėnai" "08:21:00" 957382 3 "26_286" "Žerniai" "08:21:00"
8842 "15_732-20261022" "15_24391" 1867.0047243666775 0.5186124234351882 936498 7 "15_319" "Klonio g." "10:00:59" 936499 8 "15_99" "Profesinio rengimo centras" "10:01:00"
10058 "15_264-20261022" "15_24400" 1825.8684619266194 0.5071856838685054 937214 5 "15_105" "Ramybės st." "15:39:59" 937215 6 "15_50" "Mindaugo" "15:40:00"
9027 "15_736-20261022" "15_24391" 1867.0047243666775 0.5186124234351882 935572 7 "15_319" "Klonio g." "11:28:59" 935573 8 "15_99" "Profesinio rengimo centras" "11:29:00"
11324 "15_464-20261022" "15_24392" 185.48009562752432 0.30913349271254054 933656 5 "15_240" "Centras" "06:23:54" 933657 6 "15_209" "Žemaitės" "06:24:00"
19040 "15_471-20261022" "15_24392" 185.48009562752432 0.30913349271254054 941200 5 "15_240" "Centras" "10:26:54" 941201 6 "15_209" "Žemaitės" "10:27:00"
18217 "15_739-20261022" "15_24391" 1867.0047243666775 0.5186124234351882 939261 7 "15_319" "Klonio g." "15:13:59" 939262 8 "15_99" "Profesinio rengimo centras" "15:14:00"
4947 "21_PNV_416-45-3-260422-ab-1310" "21_17272" 196.9887428340989 3.283145713901648 888851 77 "21_6235" "Krekenava" "14:03:00" 888852 78 "21_6242" "Rabikiai" "14:03:00"
15918 "51_1730" "51_21608" 503.83206748382037 8.397201124730339 425740 8 "51_21414" "Marcinkonys" "17:22:00" 425741 9 "51_44557" "Žiūrai" "17:22:00"
10049 "15_661-20261022" "15_24387" 211.21894486641946 3.5203157477736577 937268 1 "15_405" "Pakščiai" "14:19:00" 937269 2 "15_177" "Vainiūnai" "14:19:00"
18569 "15_892-20261022" "15_24392" 185.48009562752432 0.30913349271254054 934544 5 "15_240" "Centras" "10:26:54" 934545 6 "15_209" "Žemaitės" "10:27:00"
9576 "15_876-20261022" "15_24392" 185.48009562752432 0.30913349271254054 937072 5 "15_240" "Centras" "10:26:54" 937073 6 "15_209" "Žemaitės" "10:27:00"
9025 "15_866-20261022" "15_24392" 185.48009562752432 0.30913349271254054 936911 5 "15_240" "Centras" "14:45:54" 936912 6 "15_209" "Žemaitės" "14:46:00"
19022 "15_976-20261022" "15_24392" 185.48009562752432 0.30913349271254054 940633 5 "15_240" "Centras" "14:45:54" 940634 6 "15_209" "Žemaitės" "14:46:00"
8638 "15_883-20261022" "15_24392" 185.48009562752432 0.30913349271254054 932238 5 "15_240" "Centras" "14:45:54" 932239 6 "15_209" "Žemaitės" "14:46:00"
229 "15_898-20261022" "15_24391" 1867.0047243666775 0.5186124234351882 939683 7 "15_319" "Klonio g." "05:53:59" 939684 8 "15_99" "Profesinio rengimo centras" "05:54:00"
10044 "15_911-20261022" "15_24391" 1867.0047243666775 0.5186124234351882 936307 7 "15_319" "Klonio g." "05:53:59" 936308 8 "15_99" "Profesinio rengimo centras" "05:54:00"
10278 "15_735-20261022" "15_24391" 1867.0047243666775 0.5186124234351882 941334 7 "15_319" "Klonio g." "14:18:59" 941335 8 "15_99" "Profesinio rengimo centras" "14:19:00"
16226 "15_663-20261022" "15_24387" 211.21894486641946 3.5203157477736577 941974 1 "15_405" "Pakščiai" "16:05:00" 941975 2 "15_177" "Vainiūnai" "16:05:00"
fast_travel_between_far_stops WARNING 1

fast_travel_between_far_stops

A transit vehicle moves too fast between two far stops.

Two stops are considered "far" if they are more than 10 km apart. This normally indicates a more serious problem than too fast travel between consecutive stops.

The speed threshold depends on route type and are the same as fast_travel_between_consecutive_stops.

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.
15918 "51_1730" "51_21608" 161.5045529032965 10.766970193553101 425739 7 "51_21416" "Marcinkonių gel.stotis" "17:19:00" 425741 9 "51_44557" "Žiūrai" "17:22:00"
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.
1858 "86_2699" "86_V8523725"
1990 "86_2699" "86_V8523779"
1996 "86_2699" "86_V8523734"
2014 "86_2699" "86_V8523765"
2030 "86_2699" "86_V8523753"
2050 "86_2699" "86_V8523764"
2149 "86_2699" "86_V8523769"
2159 "86_2699" "86_V8523770"
2166 "86_2699" "86_V8523720"
2173 "86_2699" "86_V8523726"
2370 "86_2699" "86_V8523807"
2467 "86_2699" "86_V8523771"
2528 "86_2699" "86_V8523719"
2536 "86_2699" "86_V8523746"
2552 "86_2699" "86_V8523737"
2789 "86_2699" "86_V8523808"
2815 "86_2699" "86_V8523816"
2850 "86_2699" "86_V8523724"
7786 "86_2699" "86_V8523754"
7915 "86_2699" "86_V8523809"
7973 "86_2699" "86_V8523721"
11484 "86_2699" "86_V8523805"
11499 "86_2699" "86_V8523792"
11534 "86_2699" "86_V8523739"
11642 "86_2699" "86_V8523800"
11882 "86_2699" "86_V8523814"
11931 "86_2699" "86_V8523794"
11940 "86_2699" "86_V8523786"
11977 "86_2699" "86_V8523815"
12032 "86_2699" "86_V8523783"
12226 "86_2699" "86_V8523774"
12238 "86_2699" "86_V8523740"
12291 "86_2699" "86_V8523775"
12316 "86_2699" "86_V8523727"
12379 "86_2699" "86_V8523763"
12472 "86_2699" "86_V8523741"
12502 "86_2699" "86_V8523729"
12539 "86_2699" "86_V8523791"
12549 "86_2699" "86_V8523728"
12613 "86_2699" "86_V8523759"
12635 "86_2699" "86_V8523766"
12644 "86_2699" "86_V8523797"
12699 "86_2699" "86_V8523772"
12829 "86_2699" "86_V8523784"
12951 "86_2699" "86_V8523767"
13070 "86_2699" "86_V8523817"
13080 "86_2699" "86_V8523762"
13213 "86_2699" "86_V8523723"
13219 "86_2699" "86_V8523761"
13295 "86_2699" "86_V8523760"
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"
mixed_case_recommended_field WARNING 866

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 866 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.
"routes.txt" "route_long_name" "KUPIŠKIS – ALIZAVA PER PALĖVENĖLĘ – KUPIŠKIS" 40
"routes.txt" "route_long_name" "ŠIRVINTOS - UKMERGĖ - ŠIRVINTOS" 52
"routes.txt" "route_long_name" "ŽELVA - KIAUKLIAI" 66
"routes.txt" "route_long_name" "ŽELVA - PUSNĖ" 152
"routes.txt" "route_long_name" "PASVALYS-GULBINĖNAI PER KRINČINĄ" 266
"routes.txt" "route_long_name" "KUPIŠKIS – SUBAČIAUS MST. PER LUKONIS" 294
"routes.txt" "route_long_name" "ŠVENČIONYS-ŠUTONYS-ŠVENČIONYS" 301
"routes.txt" "route_long_name" "KUPIŠKIS – LAIČIAI PER KANDRĖNUS, SKAPIŠKIO MSTL." 384
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS, KANDRĖNUS, LAIČIUS" 391
"routes.txt" "route_short_name" "518_VLP" 440
"routes.txt" "route_long_name" "KUPIŠKIS – ŠIMONYS PER MIGONIS" 511
"routes.txt" "route_long_name" "KUPIŠKIS – PANEVĖŽYS" 542
"routes.txt" "route_short_name" "523_VLP" 695
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 788
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 814
"routes.txt" "route_short_name" "1A_VLP" 946
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 1056
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-JUODMENA-RIMKAI" 1157
"routes.txt" "route_short_name" "3_VLP" 1168
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 1212
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER KANDRĖNUS, LAIČIUS" 1220
"routes.txt" "route_long_name" "KUPIŠKIS - ANTAŠAVA" 1226
"routes.txt" "route_short_name" "2A_VLP" 1383
"routes.txt" "route_short_name" "787_VLP" 1387
"routes.txt" "route_long_name" "ŠVENČIONYS-ADUTIŠKIS-JAKELIAI-ADUTIŠKIS-ŠVENČIONYS" 1432
"routes.txt" "route_long_name" "KUPIŠKIS – VAINIŪNIŠKIS (PER PALĖVENĖLĘ) – KUPIŠKIS" 1456
"routes.txt" "route_short_name" "4_VLP" 1622
"routes.txt" "route_short_name" "2_VLP" 1623
"routes.txt" "route_long_name" "ŠVENČIONYS-PABRADĖ-VILNIUS-PABRADĖ-ŠVENČIONYS" 1675
"routes.txt" "route_long_name" "PASVALYS-ŽILPAMŪŠIS PER TETIRVINUS" 1682
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS" 1787
"routes.txt" "route_short_name" "1_VLP" 1837
"routes.txt" "route_short_name" "5_VLP" 1838
"stops.txt" "stop_name" "III km." 538
"stops.txt" "stop_name" "žieda" 651
"stops.txt" "stop_name" "sodai" 853
"stops.txt" "stop_name" "6-asis fortas B" 1389
"stops.txt" "stop_name" "11-as kilometras" 1429
"stops.txt" "stop_name" "9-ojo forto muziejus" 1746
"stops.txt" "stop_name" "IKI parduotuvė" 1826
"stops.txt" "stop_name" "9-asis kilometras" 2288
"stops.txt" "stop_name" "PALIŪNIŠKIS II" 2458
"stops.txt" "stop_name" "KTU inžinierijos licėjus" 2529
"stops.txt" "stop_name" "19-asis kilometras" 2532
"stops.txt" "stop_name" "9-asis fortas B" 2558
"stops.txt" "stop_name" "1-ojo forto g. A" 2559
"stops.txt" "stop_name" "9-ojo forto muziejus B" 3012
"stops.txt" "stop_name" "23-asis kilometras" 3073
"stops.txt" "stop_name" "21-asis kilometras" 3074
"stops.txt" "stop_name" "19-asis kilometras" 3228
non_ascii_or_non_printable_char WARNING 1081

non_ascii_or_non_printable_char

Non ascii or non printable char in ID field.

A value of a field with type ID contains non ASCII or non printable characters. This is not recommended.

You can see more about this notice here.

Only the first 50 of 1081 affected records are displayed below.

filename (?) Name of the faulty file. csvRowNumber (?) Row number of the faulty record. columnName (?) Name of the column where the error occurred. fieldValue (?) Faulty value.
"stop_times.txt" 295852 "trip_id" "18_AŽ1-01-1-260101-ba-0900"
"stop_times.txt" 295853 "trip_id" "18_AŽ1-01-1-260101-ba-0900"
"stop_times.txt" 295854 "trip_id" "18_AŽ1-01-1-260101-ba-0900"
"stop_times.txt" 295855 "trip_id" "18_AŽ1-01-1-260101-ba-0900"
"stop_times.txt" 295856 "trip_id" "18_AŽ1-01-1-260101-ba-0900"
"stop_times.txt" 295857 "trip_id" "18_AŽ1-01-1-260101-ba-0900"
"stop_times.txt" 295858 "trip_id" "18_AŽ1-01-1-260101-ba-0900"
"stop_times.txt" 295859 "trip_id" "18_AŽ1-01-1-260101-ba-0900"
"stop_times.txt" 295860 "trip_id" "18_AŽ1-01-1-260101-ba-0900"
"stop_times.txt" 295861 "trip_id" "18_AŽ1-01-1-260101-ba-0900"
"stop_times.txt" 295862 "trip_id" "18_AŽ1-01-1-260101-ba-0900"
"stop_times.txt" 295863 "trip_id" "18_AŽ1-01-1-260101-ba-0900"
"stop_times.txt" 295864 "trip_id" "18_AŽ1-01-1-260101-ba-0900"
"stop_times.txt" 295865 "trip_id" "18_AŽ2-01-1-260101-ab-1520"
"stop_times.txt" 295866 "trip_id" "18_AŽ2-01-1-260101-ab-1520"
"stop_times.txt" 295867 "trip_id" "18_AŽ2-01-1-260101-ab-1520"
"stop_times.txt" 295868 "trip_id" "18_AŽ2-01-1-260101-ab-1520"
"stop_times.txt" 295869 "trip_id" "18_AŽ2-01-1-260101-ab-1520"
"stop_times.txt" 295870 "trip_id" "18_AŽ2-01-1-260101-ab-1520"
"stop_times.txt" 295871 "trip_id" "18_AŽ2-01-1-260101-ab-1520"
"stop_times.txt" 295872 "trip_id" "18_AŽ2-01-1-260101-ab-1520"
"stop_times.txt" 295873 "trip_id" "18_AŽ2-01-1-260101-ab-1520"
"stop_times.txt" 295874 "trip_id" "18_AŽ2-01-1-260101-ab-1520"
"stop_times.txt" 295875 "trip_id" "18_AŽ2-01-1-260101-ab-1520"
"stop_times.txt" 295876 "trip_id" "18_AŽ2-01-1-260101-ab-1520"
"stop_times.txt" 295926 "trip_id" "18_AŽ1J-01-1-260101-ba-0950"
"stop_times.txt" 295927 "trip_id" "18_AŽ1J-01-1-260101-ba-0950"
"stop_times.txt" 295928 "trip_id" "18_AŽ1J-01-1-260101-ba-0950"
"stop_times.txt" 295929 "trip_id" "18_AŽ1J-01-1-260101-ba-0950"
"stop_times.txt" 295930 "trip_id" "18_AŽ1J-01-1-260101-ba-0950"
"stop_times.txt" 295931 "trip_id" "18_AŽ1J-01-1-260101-ba-0950"
"stop_times.txt" 295932 "trip_id" "18_AŽ1J-01-1-260101-ba-0950"
"stop_times.txt" 295933 "trip_id" "18_AŽ1J-01-1-260101-ba-0950"
"stop_times.txt" 295934 "trip_id" "18_AŽ1J-01-1-260101-ba-0950"
"stop_times.txt" 295935 "trip_id" "18_AŽ1J-01-1-260101-ba-0950"
"stop_times.txt" 295936 "trip_id" "18_AŽ1J-01-1-260101-ba-0950"
"stop_times.txt" 295937 "trip_id" "18_AŽ1J-01-1-260101-ba-0950"
"stop_times.txt" 295938 "trip_id" "18_AŽ2-01-1-260101-ba-1540"
"stop_times.txt" 295939 "trip_id" "18_AŽ2-01-1-260101-ba-1540"
"stop_times.txt" 295940 "trip_id" "18_AŽ2-01-1-260101-ba-1540"
"stop_times.txt" 295941 "trip_id" "18_AŽ2-01-1-260101-ba-1540"
"stop_times.txt" 295942 "trip_id" "18_AŽ2-01-1-260101-ba-1540"
"stop_times.txt" 295943 "trip_id" "18_AŽ2-01-1-260101-ba-1540"
"stop_times.txt" 295944 "trip_id" "18_AŽ2-01-1-260101-ba-1540"
"stop_times.txt" 295945 "trip_id" "18_AŽ2-01-1-260101-ba-1540"
"stop_times.txt" 295946 "trip_id" "18_AŽ2-01-1-260101-ba-1540"
"stop_times.txt" 295947 "trip_id" "18_AŽ2-01-1-260101-ba-1540"
"stop_times.txt" 295948 "trip_id" "18_AŽ2-01-1-260101-ba-1540"
"stop_times.txt" 295949 "trip_id" "18_AŽ2-01-1-260101-ba-1540"
"stop_times.txt" 295950 "trip_id" "18_AŽ2-01-1-260101-ba-1540"
stop_too_far_from_shape WARNING 39

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.
13305 "3636" "9_V45756" 2441 "9_V8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
11803 "3651" "9_V45771" 2470 "9_V8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
14809 "3653" "9_V45773" 2471 "9_V8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
11785 "43544" "55_V8124133" 94537 "55_V9340" "Mokykla" [55.512857000000004,26.315831] 134.01174852768767
13582 "43548" "55_V8124139" 94575 "55_V8484" "Mokykla" [55.513561,26.317414] 128.25393944619788
12691 "18654" "42_V3218451" 23605 "30_844" "Geluva" [55.249732,23.511073] 140.46827403515317
2268 "32206" "49_V7476585" 43662 "49_V48065" "Troškūnų g." [55.521214350005486,25.097709664383384] 523.8519190658676
2268 "32206" "49_V7476585" 43663 "49_V48066" "Geležinkelio stotis" [55.526276,25.103853] 785.72734673045
2268 "32206" "49_V7476585" 43664 "49_V48068" "Kalno parduotuvė" [55.526598,25.099623999999995] 574.8082135251354
2268 "32206" "49_V7476585" 43667 "49_V48071" "Pušyno mikrorajonas" [55.521132,25.115296] 658.3695095777266
2268 "32206" "49_V7476585" 43672 "49_V48070" "Žiburio g." [55.525912999999996,25.113931000000004] 146.43308427108235
12476 "3899" "9_V46086" 2562 "9_V7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
13615 "29420" "2_V7429613" 40726 "2_V8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
15755 "4529" "9_V46899" 3082 "9_V7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
2117 "4527" "9_V47691" 4501 "9_V7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
14338 "4528" "9_V47692" 4502 "9_V7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
1753 "14622" "66_V7150732" 34693 "66_V14754" "Naiviai" [55.84397975379556,25.145549112350125] 765.6219655883444
11958 "2821" "9_V45017" 2365 "9_V7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
13136 "29615" "2_V7432118" 41134 "2_V13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
7788 "29616" "2_V7432119" 41182 "2_V13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
15581 "3339" "9_V46943" 3083 "9_V7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
2464 "4710" "32_V47249" 3736 "32_V4945" "Onuškis" [54.48374200000001,24.591959000000003] 103.16686496628398
1882 "4711" "32_V47251" 3749 "32_V4945" "Onuškis" [54.48374200000001,24.591959000000003] 103.16686496628398
11724 "67322" "8_V8536546" 716687 "8_V8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
7926 "67323" "8_V8536547" 716712 "8_V8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
2110 "67324" "8_V8536549" 716724 "8_V8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
13200 "11705" "9_V747606" 16132 "9_V7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
12591 "6511" "16_V54507" 9247 "16_V5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
12931 "6509" "16_V54502" 9208 "16_V5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
12800 "6513" "16_V54509" 9271 "16_V5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
1783 "29093" "48_V7413976" 38808 "48_V21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
14063 "29092" "48_V7413975" 38778 "48_V21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
15212 "3514" "9_V45563" 2388 "9_V7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
14574 "3537" "9_V45591" 2413 "9_V7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
7855 "17131" "53_V2515700" 21169 "53_V16347" "Sudervė" [54.761036,25.063001999999997] 2603.225038082936
11638 "3574" "9_V45644" 2414 "9_V7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
15084 "3617" "9_V45754" 2440 "9_V8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
12672 "15331" "49_V2211799" 19284 "49_V6964" "Mikieriai" [55.66300100000001,25.169295] 153.6142678364674
13165 "15330" "49_V2211797" 19271 "49_V6964" "Mikieriai" [55.66300100000001,25.169295] 153.6142678364674
stop_without_stop_time WARNING 27

stop_without_stop_time

A stop in stops.txt is not referenced by any stop_times.stop_id.

Such stops are not used by any trip and normally do not provide user value. This notice may indicate a typo in stop_times.txt.

You can see more about this notice here.

csvRowNumber (?) The row number of the faulty record. stopId (?) The id of the faulty stop. stopName (?) The name of the faulty stop.
116 "43_3247" "Autobusų parkas"
428 "57_81" "2-oji Karmėlava A"
2317 "48_5192" "Takniškių kryžkelė"
3559 "30_960" "Paalsys"
3733 "27_3667" "Biblioteka"
3977 "57_263" "K. Petrausko"
4268 "57_79" "Karmėlava"
5504 "57_27" "Biruliškės"
5667 "57_236" "Sodai Neris"
5675 "30_4450" "Šoliai"
5899 "57_158" "Narėpai"
7342 "30_37" "Plentas"
7604 "57_26" "Biruliškės"
7778 "60_227" "Ringeliškės"
9864 "30_281" "Statybų"
10243 "58_5332" "Miesto ligoninė"
10293 "60_118" "Grūtas"
11630 "57_157" "Narėpai"
12180 "59_1017" "Antakalnio žiedas"
13097 "57_15" "Balio Buračo gimnazija"
14188 "57_78" "Karmėlava"
15521 "30_214" "Duobės kalnas"
15643 "57_129" "Margava"
16626 "44_2856" "Lieporiai"
16743 "57_130" "Margava"
16959 "44_2857" "Lieporių k."
19312 "57_80" "2-oji Karmėlava B"
stops_match_shape_out_of_order WARNING 27

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.
14945 "3645" "39_V57657" 12779 "39_V8212" "Laučiai" [55.34479686210668,21.558340567616426] 12778 "39_V12152" "Jonaičiai" [55.34641499999999,21.570023]
14259 "3667" "39_V57730" 12918 "39_V8212" "Laučiai" [55.34479686210668,21.558340567616426] 12917 "39_V13926" "Jonaičiai" [55.346103,21.568929]
1743 "67590" "31_V8553248" 856090 "31_V21137" "Pasvaigės g." [55.992047,22.254023999999998] 856089 "31_V21142" "Ventos g." [55.971069063511344,22.221926202187355]
2224 "3714" "39_V57736" 12992 "39_V13926" "Jonaičiai" [55.346103,21.568929] 12991 "39_V8212" "Laučiai" [55.34479686210668,21.558340567616426]
14469 "13808" "47_V1228372" 17987 "47_V29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 17986 "47_V20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
2200 "26489" "31_V7231018" 35286 "31_V10486" "Kuršų m-la" [55.853816990580704,22.40675061105697] 35285 "31_V7720" "Baltininkai" [55.85382305337965,22.406770171019815]
21663 "57705" "30_416" 161959 "30_6224" "Vieversys" [55.059990000000006,22.656120000000005] 161958 "30_1012" "Greičių sodai" [55.06255881585111,22.648915161597998]
11596 "5008" "53_V57396" 11862 "53_V15964" "2-ieji Rukainiai" [54.61112882587361,25.517813190945176] 11861 "53_V8069" "2-ieji Rukainiai" [54.61214875119864,25.51381662802195]
12498 "5008" "53_V57397" 11892 "53_V15964" "2-ieji Rukainiai" [54.61112882587361,25.517813190945176] 11891 "53_V8069" "2-ieji Rukainiai" [54.61214875119864,25.51381662802195]
14246 "5057" "53_V57768" 13166 "53_V15964" "2-ieji Rukainiai" [54.61112882587361,25.517813190945176] 13165 "53_V8069" "2-ieji Rukainiai" [54.61214875119864,25.51381662802195]
14650 "5057" "53_V1042441" 17619 "53_V15964" "2-ieji Rukainiai" [54.61112882587361,25.517813190945176] 17618 "53_V8069" "2-ieji Rukainiai" [54.61214875119864,25.51381662802195]
2186 "5059" "53_V57805" 13356 "53_V15964" "2-ieji Rukainiai" [54.61112882587361,25.517813190945176] 13355 "53_V8069" "2-ieji Rukainiai" [54.61214875119864,25.51381662802195]
7820 "5062" "53_V57847" 13704 "53_V15964" "2-ieji Rukainiai" [54.61112882587361,25.517813190945176] 13703 "53_V8069" "2-ieji Rukainiai" [54.61214875119864,25.51381662802195]
2283 "35668" "25_V7652364" 53031 "25_V20855" "Kontariškiai" [56.04984708813942,24.383280063416947] 53030 "25_V20829" "Smegduobių parkas" [56.056377166218944,24.39590345350891]
11602 "12979" "53_V1042436" 17523 "53_V15964" "2-ieji Rukainiai" [54.61112882587361,25.517813190945176] 17522 "53_V8069" "2-ieji Rukainiai" [54.61214875119864,25.51381662802195]
14104 "12979" "53_V1042435" 17514 "53_V15964" "2-ieji Rukainiai" [54.61112882587361,25.517813190945176] 17513 "53_V8069" "2-ieji Rukainiai" [54.61214875119864,25.51381662802195]
14863 "28435" "50_V7339430" 36583 "50_V64819" "Suostas" [56.32837413018391,24.713657886432735] 36582 "50_V16112" "Svydžiai" [56.352930797976754,24.686322368913352]
1729 "28434" "50_V7339429" 36559 "50_V10057" "Svydžiai" [56.35334128457164,24.685572701413516] 36558 "50_V64820" "Suostas" [56.32837775901334,24.713656830174433]
12193 "16465" "53_V2317379" 20319 "53_V15964" "2-ieji Rukainiai" [54.61112882587361,25.517813190945176] 20318 "53_V8069" "2-ieji Rukainiai" [54.61214875119864,25.51381662802195]
2216 "6591" "39_V57636" 12455 "39_V13926" "Jonaičiai" [55.346103,21.568929] 12454 "39_V8212" "Laučiai" [55.34479686210668,21.558340567616426]
19045 "69073" "15_657-20261022" 938501 "15_333" "Pašiliai 1" [55.225386015416355,23.929402592464147] 938500 "15_335" "Progreso sodai" [55.22586304072595,23.929817837339353]
13494 "3554" "39_V57639" 12495 "39_V8212" "Laučiai" [55.34479686210668,21.558340567616426] 12494 "39_V12152" "Jonaičiai" [55.34641499999999,21.570023]
1840 "40377" "39_V8016002" 66435 "39_V72301" "Kirlikai" [55.32834500402225,21.565359093761266] 66434 "39_V97223" "Tarvydai I" [55.328604,21.56423]
12482 "40378" "39_V8016003" 66444 "39_V71683" "Tarvydai II" [55.31814711876975,21.598011981975805] 66443 "39_V97223" "Tarvydai I" [55.328604,21.56423]
2848 "5353" "39_V57623" 12301 "39_V13926" "Jonaičiai" [55.346103,21.568929] 12300 "39_V8212" "Laučiai" [55.34479686210668,21.558340567616426]
11997 "54901" "2_V8226897" 152251 "2_V45588" "Balbieriškis" [54.524770000000004,23.885448] 152250 "2_V45784" "Balbieriškis" [54.525039387689404,23.885400507640224]
2425 "54903" "2_V8241502" 153496 "2_V45588" "Balbieriškis" [54.524770000000004,23.885448] 153495 "2_V45784" "Balbieriškis" [54.525039387689404,23.885400507640224]
unknown_column INFO 32

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.
"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