GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-04-24T00:40:22Z,
for the dataset file:///shared/lietuvos-transporto_d0942676.zip. No country code was provided.

Use this report alongside our documentation.

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: 64
  • Blocks: 0
  • Routes: 3679
  • Shapes: 4933
  • Stops: 17300
  • Trips: 53532

Specification Compliance report

526989 notices reported (402059 errors, 124911 warnings, 19 infos)

Notice Code Severity Total
decreasing_or_equal_stop_time_distance ERROR 11

decreasing_or_equal_stop_time_distance

Decreasing or equal shape_dist_traveled in stop_times.txt.

When sorted by stop_times.stop_sequence, two consecutive entries in stop_times.txt should have increasing distance, based on the field shape_dist_traveled. If the values are equal, this is considered as an error.

You can see more about this notice here.

tripId (?) The id of the faulty trip. stopId (?) The id of the faulty stop. csvRowNumber (?) The row number from `stop_times.txt`. shapeDistTraveled (?) Actual distance traveled along the shape from the first shape point to the faulty record. stopSequence (?) The faulty record's `stop_times.stop_sequence`. prevCsvRowNumber (?) The row number from `stop_times.txt` of the previous stop time. prevShapeDistTraveled (?) Actual distance traveled along the shape from the first shape point to the previous stop time. prevStopSequence (?) The previous record's `stop_times.stop_sequence`.
"7231024" "11774" 41487 44095.4 17 41486 44095.4 16
"7874236" "26166" 79513 2009.5 4 79512 2009.5 3
"8124121" "21023" 499082 9521.8 8 499081 9521.8 7
"8124125" "21023" 499101 9521.8 8 499100 9521.8 7
"1222537" "5509" 20971 20018.1 7 20970 20018.1 6
"8069411" "7470" 164159 8203.6 8 164158 8203.6 7
"8069411" "11216" 164167 24117.0 17 164166 24117.0 16
"8069413" "7470" 164201 8203.6 8 164200 8203.6 7
"8069413" "11216" 164210 24117.0 17 164209 24117.0 16
"8069412" "7470" 164180 8203.6 8 164179 8203.6 7
"8069412" "11216" 164188 24117.0 17 164187 24117.0 16
duplicate_key ERROR 2003

duplicate_key

Duplicated entity.

The values of the given key and rows are duplicates.

You can see more about this notice here.

Only the first 50 of 2003 affected records are displayed below.

filename (?) The name of the faulty file oldCsvRowNumber (?) The row of the first occurrence. newCsvRowNumber (?) The row of the other occurrence. fieldName1 (?) Composite key's first field name. fieldValue1 (?) Composite key's first value.
"calendar_dates.txt" 3763 9058 "service_id,date" "87829,20260328"
"calendar_dates.txt" 14491 25338 "service_id,date" "84985,20260328"
"calendar_dates.txt" 9023 36164 "service_id,date" "85377,20260328"
"calendar_dates.txt" 14516 36204 "service_id,date" "87832,20260328"
"calendar_dates.txt" 3765 36211 "service_id,date" "87830,20260328"
"calendar_dates.txt" 3774 41412 "service_id,date" "87833,20260328"
"calendar_dates.txt" 3766 41458 "service_id,date" "87831,20260328"
"stops.txt" 4 532 "stop_id" "14748"
"stops.txt" 298 684 "stop_id" "11777"
"stops.txt" 190 705 "stop_id" "16942"
"stops.txt" 202 708 "stop_id" "17115"
"stops.txt" 173 721 "stop_id" "17350"
"stops.txt" 490 730 "stop_id" "19480"
"stops.txt" 373 943 "stop_id" "7276"
"stops.txt" 337 1035 "stop_id" "9684"
"stops.txt" 825 1056 "stop_id" "6174"
"stops.txt" 397 1320 "stop_id" "12865"
"stops.txt" 587 1465 "stop_id" "3704"
"stops.txt" 1102 1559 "stop_id" "11553"
"stops.txt" 784 1615 "stop_id" "71305"
"stops.txt" 1537 1665 "stop_id" "8714"
"stops.txt" 817 1719 "stop_id" "15287"
"stops.txt" 100 1729 "stop_id" "22168"
"stops.txt" 1524 1743 "stop_id" "4655"
"stops.txt" 756 1757 "stop_id" "4720"
"stops.txt" 1289 1814 "stop_id" "19489"
"stops.txt" 498 1833 "stop_id" "11298"
"stops.txt" 1560 1835 "stop_id" "11570"
"stops.txt" 833 1914 "stop_id" "44952"
"stops.txt" 1697 1951 "stop_id" "8959"
"stops.txt" 1829 1970 "stop_id" "5817"
"stops.txt" 1603 2058 "stop_id" "19488"
"stops.txt" 1081 2075 "stop_id" "16337"
"stops.txt" 1135 2078 "stop_id" "19485"
"stops.txt" 518 2142 "stop_id" "29045"
"stops.txt" 1024 2417 "stop_id" "23606"
"stops.txt" 529 2495 "stop_id" "4747"
"stops.txt" 1727 2531 "stop_id" "22085"
"stops.txt" 756 2535 "stop_id" "4720"
"stops.txt" 1806 2554 "stop_id" "5412"
"stops.txt" 1905 2556 "stop_id" "7291"
"stops.txt" 1906 2557 "stop_id" "7326"
"stops.txt" 703 2625 "stop_id" "16839"
"stops.txt" 685 2749 "stop_id" "11790"
"stops.txt" 941 2778 "stop_id" "5723"
"stops.txt" 1859 2881 "stop_id" "11813"
"stops.txt" 1930 2904 "stop_id" "7535"
"stops.txt" 2416 2931 "stop_id" "20328"
"stops.txt" 13 2933 "stop_id" "21417"
"stops.txt" 2436 2945 "stop_id" "24427"
forbidden_arrival_or_departure_time ERROR 100000

forbidden_arrival_or_departure_time

The arrival or departure times are provided alongside pickup or drop-off windows in stop_times.txt.

This violates GTFS specification, as both cannot coexist for a single stop time record.

You can see more about this notice here.

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

csvRowNumber (?) The row of the faulty record. arrivalTime (?) The arrival time of the faulty record. departureTime (?) The departure time of the faulty record. startPickupDropOffWindow (?) The start pickup drop off window of the faulty record. endPickupDropOffWindow (?) The end pickup drop off window of the faulty record.
2 "15:35:00" "15:35:00" "00:00:00" "00:00:00"
3 "15:38:00" "15:39:00" "00:00:00" "00:00:00"
4 "15:42:00" "15:43:00" "00:00:00" "00:00:00"
5 "15:44:00" "15:45:00" "00:00:00" "00:00:00"
6 "15:49:00" "15:50:00" "00:00:00" "00:00:00"
7 "15:55:00" "15:56:00" "00:00:00" "00:00:00"
8 "15:58:00" "15:59:00" "00:00:00" "00:00:00"
9 "16:01:00" "16:02:00" "00:00:00" "00:00:00"
10 "16:05:00" "16:05:00" "00:00:00" "00:00:00"
11 "09:15:00" "09:15:00" "00:00:00" "00:00:00"
12 "10:58:00" "10:58:00" "00:00:00" "00:00:00"
13 "11:03:00" "11:03:00" "00:00:00" "00:00:00"
14 "11:15:00" "11:15:00" "00:00:00" "00:00:00"
15 "11:50:00" "11:50:00" "00:00:00" "00:00:00"
16 "13:33:00" "13:33:00" "00:00:00" "00:00:00"
17 "13:38:00" "13:38:00" "00:00:00" "00:00:00"
18 "13:50:00" "13:50:00" "00:00:00" "00:00:00"
19 "15:45:00" "15:45:00" "00:00:00" "00:00:00"
20 "17:28:00" "17:28:00" "00:00:00" "00:00:00"
21 "17:33:00" "17:33:00" "00:00:00" "00:00:00"
22 "17:45:00" "17:45:00" "00:00:00" "00:00:00"
23 "17:30:00" "17:30:00" "00:00:00" "00:00:00"
24 "19:13:00" "19:13:00" "00:00:00" "00:00:00"
25 "19:18:00" "19:18:00" "00:00:00" "00:00:00"
26 "19:30:00" "19:30:00" "00:00:00" "00:00:00"
27 "15:00:00" "15:00:00" "00:00:00" "00:00:00"
28 "15:05:00" "15:05:00" "00:00:00" "00:00:00"
29 "16:30:00" "16:30:00" "00:00:00" "00:00:00"
30 "16:37:00" "16:37:00" "00:00:00" "00:00:00"
31 "16:45:00" "16:45:00" "00:00:00" "00:00:00"
32 "17:00:00" "17:00:00" "00:00:00" "00:00:00"
33 "17:05:00" "17:05:00" "00:00:00" "00:00:00"
34 "18:25:00" "18:25:00" "00:00:00" "00:00:00"
35 "18:32:00" "18:32:00" "00:00:00" "00:00:00"
36 "18:40:00" "18:40:00" "00:00:00" "00:00:00"
37 "18:00:00" "18:00:00" "00:00:00" "00:00:00"
38 "18:15:00" "18:15:00" "00:00:00" "00:00:00"
39 "19:40:00" "19:40:00" "00:00:00" "00:00:00"
40 "19:45:00" "19:45:00" "00:00:00" "00:00:00"
41 "06:00:00" "06:00:00" "00:00:00" "00:00:00"
42 "06:10:00" "06:10:00" "00:00:00" "00:00:00"
43 "06:17:00" "06:17:00" "00:00:00" "00:00:00"
44 "06:22:00" "06:22:00" "00:00:00" "00:00:00"
45 "06:27:00" "06:27:00" "00:00:00" "00:00:00"
46 "06:33:00" "06:33:00" "00:00:00" "00:00:00"
47 "06:38:00" "06:38:00" "00:00:00" "00:00:00"
48 "06:45:00" "06:50:00" "00:00:00" "00:00:00"
49 "06:55:00" "06:55:00" "00:00:00" "00:00:00"
50 "06:59:00" "06:59:00" "00:00:00" "00:00:00"
51 "07:02:00" "07:02:00" "00:00:00" "00:00:00"
forbidden_drop_off_type ERROR 100000

forbidden_drop_off_type

pickup_drop_off_window fields are forbidden when the drop_off_type is regularly scheduled (0).

You can see more about this notice here.

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

csvRowNumber (?) The row of the faulty record. startPickupDropOffWindow (?) The start pickup drop off window of the faulty record. endPickupDropOffWindow (?) The end pickup drop off window of the faulty record.
2 "00:00:00" "00:00:00"
3 "00:00:00" "00:00:00"
4 "00:00:00" "00:00:00"
5 "00:00:00" "00:00:00"
6 "00:00:00" "00:00:00"
7 "00:00:00" "00:00:00"
8 "00:00:00" "00:00:00"
9 "00:00:00" "00:00:00"
10 "00:00:00" "00:00:00"
12 "00:00:00" "00:00:00"
13 "00:00:00" "00:00:00"
14 "00:00:00" "00:00:00"
16 "00:00:00" "00:00:00"
17 "00:00:00" "00:00:00"
18 "00:00:00" "00:00:00"
20 "00:00:00" "00:00:00"
21 "00:00:00" "00:00:00"
22 "00:00:00" "00:00:00"
24 "00:00:00" "00:00:00"
25 "00:00:00" "00:00:00"
26 "00:00:00" "00:00:00"
29 "00:00:00" "00:00:00"
30 "00:00:00" "00:00:00"
31 "00:00:00" "00:00:00"
34 "00:00:00" "00:00:00"
35 "00:00:00" "00:00:00"
36 "00:00:00" "00:00:00"
39 "00:00:00" "00:00:00"
40 "00:00:00" "00:00:00"
43 "00:00:00" "00:00:00"
44 "00:00:00" "00:00:00"
45 "00:00:00" "00:00:00"
46 "00:00:00" "00:00:00"
47 "00:00:00" "00:00:00"
48 "00:00:00" "00:00:00"
49 "00:00:00" "00:00:00"
50 "00:00:00" "00:00:00"
51 "00:00:00" "00:00:00"
52 "00:00:00" "00:00:00"
53 "00:00:00" "00:00:00"
54 "00:00:00" "00:00:00"
55 "00:00:00" "00:00:00"
56 "00:00:00" "00:00:00"
57 "00:00:00" "00:00:00"
58 "00:00:00" "00:00:00"
59 "00:00:00" "00:00:00"
62 "00:00:00" "00:00:00"
63 "00:00:00" "00:00:00"
64 "00:00:00" "00:00:00"
65 "00:00:00" "00:00:00"
forbidden_pickup_type ERROR 100000

forbidden_pickup_type

pickup_drop_off_window fields are forbidden when the pickup_type is regularly scheduled (0) or must be coordinated with the driver (3).

You can see more about this notice here.

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

csvRowNumber (?) The row of the faulty record. startPickupDropOffWindow (?) The start pickup drop off window of the faulty record. endPickupDropOffWindow (?) The end pickup drop off window of the faulty record.
2 "00:00:00" "00:00:00"
3 "00:00:00" "00:00:00"
4 "00:00:00" "00:00:00"
5 "00:00:00" "00:00:00"
6 "00:00:00" "00:00:00"
7 "00:00:00" "00:00:00"
8 "00:00:00" "00:00:00"
9 "00:00:00" "00:00:00"
10 "00:00:00" "00:00:00"
11 "00:00:00" "00:00:00"
12 "00:00:00" "00:00:00"
13 "00:00:00" "00:00:00"
15 "00:00:00" "00:00:00"
16 "00:00:00" "00:00:00"
17 "00:00:00" "00:00:00"
19 "00:00:00" "00:00:00"
20 "00:00:00" "00:00:00"
21 "00:00:00" "00:00:00"
23 "00:00:00" "00:00:00"
24 "00:00:00" "00:00:00"
25 "00:00:00" "00:00:00"
27 "00:00:00" "00:00:00"
28 "00:00:00" "00:00:00"
32 "00:00:00" "00:00:00"
33 "00:00:00" "00:00:00"
37 "00:00:00" "00:00:00"
38 "00:00:00" "00:00:00"
41 "00:00:00" "00:00:00"
42 "00:00:00" "00:00:00"
43 "00:00:00" "00:00:00"
44 "00:00:00" "00:00:00"
45 "00:00:00" "00:00:00"
46 "00:00:00" "00:00:00"
47 "00:00:00" "00:00:00"
48 "00:00:00" "00:00:00"
49 "00:00:00" "00:00:00"
50 "00:00:00" "00:00:00"
51 "00:00:00" "00:00:00"
52 "00:00:00" "00:00:00"
53 "00:00:00" "00:00:00"
54 "00:00:00" "00:00:00"
55 "00:00:00" "00:00:00"
56 "00:00:00" "00:00:00"
60 "00:00:00" "00:00:00"
61 "00:00:00" "00:00:00"
62 "00:00:00" "00:00:00"
63 "00:00:00" "00:00:00"
64 "00:00:00" "00:00:00"
65 "00:00:00" "00:00:00"
66 "00:00:00" "00:00:00"
invalid_pickup_drop_off_window ERROR 100000

invalid_pickup_drop_off_window

The pickup/drop-off window in stop_times.txt is invalid.

The end_pickup_drop_off_window must be strictly later than the start_pickup_drop_off_window.

You can see more about this notice here.

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

csvRowNumber (?) The row of the faulty record. startPickupDropOffWindow (?) The start pickup drop off window of the faulty record. endPickupDropOffWindow (?) The end pickup drop off window of the faulty record.
2 "00:00:00" "00:00:00"
3 "00:00:00" "00:00:00"
4 "00:00:00" "00:00:00"
5 "00:00:00" "00:00:00"
6 "00:00:00" "00:00:00"
7 "00:00:00" "00:00:00"
8 "00:00:00" "00:00:00"
9 "00:00:00" "00:00:00"
10 "00:00:00" "00:00:00"
11 "00:00:00" "00:00:00"
12 "00:00:00" "00:00:00"
13 "00:00:00" "00:00:00"
14 "00:00:00" "00:00:00"
15 "00:00:00" "00:00:00"
16 "00:00:00" "00:00:00"
17 "00:00:00" "00:00:00"
18 "00:00:00" "00:00:00"
19 "00:00:00" "00:00:00"
20 "00:00:00" "00:00:00"
21 "00:00:00" "00:00:00"
22 "00:00:00" "00:00:00"
23 "00:00:00" "00:00:00"
24 "00:00:00" "00:00:00"
25 "00:00:00" "00:00:00"
26 "00:00:00" "00:00:00"
27 "00:00:00" "00:00:00"
28 "00:00:00" "00:00:00"
29 "00:00:00" "00:00:00"
30 "00:00:00" "00:00:00"
31 "00:00:00" "00:00:00"
32 "00:00:00" "00:00:00"
33 "00:00:00" "00:00:00"
34 "00:00:00" "00:00:00"
35 "00:00:00" "00:00:00"
36 "00:00:00" "00:00:00"
37 "00:00:00" "00:00:00"
38 "00:00:00" "00:00:00"
39 "00:00:00" "00:00:00"
40 "00:00:00" "00:00:00"
41 "00:00:00" "00:00:00"
42 "00:00:00" "00:00:00"
43 "00:00:00" "00:00:00"
44 "00:00:00" "00:00:00"
45 "00:00:00" "00:00:00"
46 "00:00:00" "00:00:00"
47 "00:00:00" "00:00:00"
48 "00:00:00" "00:00:00"
49 "00:00:00" "00:00:00"
50 "00:00:00" "00:00:00"
51 "00:00:00" "00:00:00"
trip_distance_exceeds_shape_distance ERROR 45

trip_distance_exceeds_shape_distance

The distance between the last shape point and last stop point is greater than or equal to the 11.1m threshold.

You can see more about this notice here.

tripId (?) The faulty record's trip id. shapeId (?) The faulty record's shape id. maxTripDistanceTraveled (?) The faulty record's trip max distance traveled. maxShapeDistanceTraveled (?) The faulty record's shape max distance traveled. geoDistanceToShape (?) The distance in meters between the shape and the stop.
"7231024" "26500" 65664.3 65592.6 18.496192821711233
"7559295" "33949" 53706.4 52276.9 35.47466877025625
"3499687" "19568" 130544.1 130540.1 16.12238106348177
"1785553" "14608" 32411.9 30842.4 18.64210795469535
"7150732" "14622" 29283.2 26182.6 22.96936039760486
"7559294" "33949" 53706.4 52276.9 35.47466877025625
"7150733" "14622" 29283.2 26182.6 22.96936039760486
"3499686" "19568" 130544.1 130540.1 16.12238106348177
"7143201" "14608" 32411.9 30842.4 18.64210795469535
"7559293" "33949" 53706.4 52276.9 35.47466877025625
"7317018" "26974" 10008.2 8028.3 152.03315218543855
"7317011" "26974" 10008.2 8028.3 152.03315218543855
"7429581" "29409" 219092.9 217663.4 17.908616128466356
"7317014" "26974" 10008.2 8028.3 152.03315218543855
"7476585" "32206" 24295.6 13723.6 46.847173432108875
"7652364" "35668" 68062.6 68008.2 640.9168339500501
"1785550" "14608" 32411.9 30842.4 18.64210795469535
"7559289" "33949" 53706.4 52276.9 35.47466877025625
"7559292" "33949" 53706.4 52276.9 35.47466877025625
"7476584" "32206" 24295.6 13723.6 46.847173432108875
"7476587" "32206" 24295.6 13723.6 46.847173432108875
"7476586" "32206" 24295.6 13723.6 46.847173432108875
"7317010" "26974" 10008.2 8028.3 152.03315218543855
"7317017" "26974" 10008.2 8028.3 152.03315218543855
"3499692" "19570" 138641.8 138637.8 16.12238106348177
"7559296" "33949" 53706.4 52276.9 35.47466877025625
"7559299" "33949" 53706.4 52276.9 35.47466877025625
"3499684" "19568" 130544.1 130540.1 16.12238106348177
"7317015" "26974" 10008.2 8028.3 152.03315218543855
"3499685" "19568" 130544.1 130540.1 16.12238106348177
"7317012" "26974" 10008.2 8028.3 152.03315218543855
"7559297" "33949" 53706.4 52276.9 35.47466877025625
"7559291" "33949" 53706.4 52276.9 35.47466877025625
"7559290" "33949" 53706.4 52276.9 35.47466877025625
"7555313" "33821" 40528.8 39099.3 35.47466877025625
"7559298" "33949" 53706.4 52276.9 35.47466877025625
"7561761" "16294" 254635.9 254635.8 20.668319256736904
"7476583" "32206" 24295.6 13723.6 46.847173432108875
"3499691" "19570" 138641.8 138637.8 16.12238106348177
"7476588" "32206" 24295.6 13723.6 46.847173432108875
"7559300" "33949" 53706.4 52276.9 35.47466877025625
"7317016" "26974" 10008.2 8028.3 152.03315218543855
"7143202" "14608" 32411.9 30842.4 18.64210795469535
"7317013" "26974" 10008.2 8028.3 152.03315218543855
"3499693" "19570" 138641.8 138637.8 16.12238106348177
duplicate_route_name WARNING 1887

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.

Only the first 50 of 1887 affected records are displayed below.

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`.
3 "2009_1732767" 4 "2009_1732765" "130" "Linkuva - Diržiai - Pakruojis - Žeimelis - Pakruojis" 3 "20"
3 "2009_1732767" 5 "2009_1732764" "130" "Linkuva - Diržiai - Pakruojis - Žeimelis - Pakruojis" 3 "20"
3 "2009_1732767" 6 "2009_1732766" "130" "Linkuva - Diržiai - Pakruojis - Žeimelis - Pakruojis" 3 "20"
7 "1990_7652561" 8 "1990_7652553" "71" "Pasvalys-Narteikiai" 3 "25"
7 "1990_7652561" 9 "1990_7652560" "71" "Pasvalys-Narteikiai" 3 "25"
7 "1990_7652561" 10 "1990_7652562" "71" "Pasvalys-Narteikiai" 3 "25"
7 "1990_7652561" 11 "1990_7652554" "71" "Pasvalys-Narteikiai" 3 "25"
7 "1990_7652561" 12 "1990_7652556" "71" "Pasvalys-Narteikiai" 3 "25"
7 "1990_7652561" 13 "1990_7652555" "71" "Pasvalys-Narteikiai" 3 "25"
7 "1990_7652561" 14 "1990_7652559" "71" "Pasvalys-Narteikiai" 3 "25"
15 "683_7433794" 16 "683_7433795" "M-658" "Skuodas-Klaipėda" 3 "2"
15 "683_7433794" 17 "683_7433796" "M-658" "Skuodas-Klaipėda" 3 "2"
15 "683_7433794" 18 "683_7433793" "M-658" "Skuodas-Klaipėda" 3 "2"
19 "684_7433601" 20 "684_7433604" "M-659" "Skuodas-Klaipėda" 3 "2"
19 "684_7433601" 21 "684_7433605" "M-659" "Skuodas-Klaipėda" 3 "2"
19 "684_7433601" 22 "684_7433602" "M-659" "Skuodas-Klaipėda" 3 "2"
19 "684_7433601" 23 "684_7433603" "M-659" "Skuodas-Klaipėda" 3 "2"
19 "684_7433601" 24 "684_7433606" "M-659" "Skuodas-Klaipėda" 3 "2"
25 "691_43744" 26 "691_43730" "M-680" "Šakiai-Vilnius" 3 "2"
25 "691_43744" 27 "691_43741" "M-680" "Šakiai-Vilnius" 3 "2"
25 "691_43744" 28 "691_43725" "M-680" "Šakiai-Vilnius" 3 "2"
25 "691_43744" 29 "691_43739" "M-680" "Šakiai-Vilnius" 3 "2"
30 "726_42784" 31 "726_42790" "M-801" "Tauragė-Šiauliai" 3 "2"
30 "726_42784" 32 "726_42783" "M-801" "Tauragė-Šiauliai" 3 "2"
30 "726_42784" 33 "726_42788" "M-801" "Tauragė-Šiauliai" 3 "2"
30 "726_42784" 34 "726_42791" "M-801" "Tauragė-Šiauliai" 3 "2"
30 "726_42784" 35 "726_42792" "M-801" "Tauragė-Šiauliai" 3 "2"
37 "3785_311299" 38 "3785_311305" "157M" "Nemenčinė - Gėla" 3 "53"
37 "3785_311299" 39 "3785_311304" "157M" "Nemenčinė - Gėla" 3 "53"
37 "3785_311299" 40 "3785_311301" "157M" "Nemenčinė - Gėla" 3 "53"
37 "3785_311299" 41 "3785_311302" "157M" "Nemenčinė - Gėla" 3 "53"
37 "3785_311299" 42 "3785_311300" "157M" "Nemenčinė - Gėla" 3 "53"
43 "3788_311290" 44 "3788_311288" "162M" "Vilnius (Antakalnio tr.m.) - Eitminiškės per Sirvydiškes, Dailydėnus" 3 "53"
43 "3788_311290" 45 "3788_311289" "162M" "Vilnius (Antakalnio tr.m.) - Eitminiškės per Sirvydiškes, Dailydėnus" 3 "53"
46 "2046_261747" 47 "2046_261743" "48" "Utena - Užpaliai per Vyžuonas" 3 "34"
46 "2046_261747" 48 "2046_261745" "48" "Utena - Užpaliai per Vyžuonas" 3 "34"
46 "2046_261747" 49 "2046_261741" "48" "Utena - Užpaliai per Vyžuonas" 3 "34"
50 "359_45017" 51 "359_46943" "50-00" "Molėtai - Girsteitiškis - Alanta" 3 "9"
52 "484_44916" 53 "484_44912" "M-137" "Alytus-Vilnius" 3 "2"
52 "484_44916" 54 "484_44915" "M-137" "Alytus-Vilnius" 3 "2"
52 "484_44916" 55 "484_44913" "M-137" "Alytus-Vilnius" 3 "2"
56 "441_60593" 57 "441_60595" "M-262" "Marijampolė-Kaunas" 3 "2"
59 "528_42452" 60 "528_42454" "M-107" "Alytus-Kaunas" 3 "2"
65 "555_7946330" 66 "555_7946329" "M-310" "Kaunas-Palanga" 3 "2"
67 "563_42916" 68 "563_42920" "M-321" "Kaunas-Mažeikiai" 3 "2"
71 "569_42519" 72 "569_42515" "M-329" "Kaunas-Panevėžys" 3 "2"
71 "569_42519" 73 "569_42520" "M-329" "Kaunas-Panevėžys" 3 "2"
71 "569_42519" 74 "569_42518" "M-329" "Kaunas-Panevėžys" 3 "2"
71 "569_42519" 75 "569_42517" "M-329" "Kaunas-Panevėžys" 3 "2"
76 "576_43145" 77 "576_43143" "M-351" "Kaunas-Šilalė" 3 "2"
equal_shape_distance_diff_coordinates_distance_below_threshold WARNING 4154

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 4154 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" 581046 29882.7 878 581045 29882.7 877 0.12791084993239907
"2328" 488749 35929.8 642 488748 35929.8 641 0.11119510090982554
"3659" 576096 49657.5 1177 576095 49657.5 1176 0.12791084993239907
"42205" 3764959 57850.1 335 3764958 57850.1 334 0.06178544815632574
"2369" 477553 63265.5 1261 477552 63265.5 1260 0.11119510090982554
"2385" 687010 69168.3 1771 687009 69168.3 1770 0.06441976500794575
"28733" 2492403 71509.2 1569 2492402 71509.2 1568 0.06441976500794575
"1919" 840600 136875.8 2842 840599 136875.8 2841 0.12752942403551987
"1919" 840603 136876.0 2845 840602 136876.0 2844 0.11119510090982554
"1919" 840610 136876.5 2852 840609 136876.5 2851 0.11119510232447394
"1919" 840613 136876.7 2855 840612 136876.7 2854 0.11119510161714974
"1919" 840616 136876.9 2858 840615 136876.9 2857 0.12752941555597483
"1919" 840625 136877.5 2867 840624 136877.5 2866 0.11119510090982554
"1919" 840628 136877.7 2870 840627 136877.7 2869 0.11119510161714974
"1919" 840631 136877.9 2873 840630 136877.9 2872 0.11119510090982554
"1919" 840638 136878.4 2880 840637 136878.4 2879 0.11119510090982554
"1919" 840641 136878.6 2883 840640 136878.6 2882 0.11119510161714974
"1919" 840650 136879.2 2892 840649 136879.2 2891 0.11119510090982554
"1919" 840653 136879.4 2895 840652 136879.4 2894 0.12752939825777979
"1919" 840656 136879.6 2898 840655 136879.6 2897 0.11119510161714974
"1919" 840665 136880.2 2907 840664 136880.2 2906 0.11119510161714974
"1919" 840669 136880.5 2911 840668 136880.5 2910 0.06244513630731429
"1919" 840675 136880.9 2917 840674 136880.9 2916 0.11119510161714974
"1919" 840678 136881.1 2920 840677 136881.1 2919 0.11119510090982554
"1919" 840681 136881.3 2923 840680 136881.3 2922 0.11119510090982554
"1919" 840690 136881.9 2932 840689 136881.9 2931 0.12752938095958766
"1919" 840693 136882.1 2935 840692 136882.1 2934 0.11119510161714974
"1919" 840704 136882.8 2946 840703 136882.8 2945 0.11119510161714974
"1919" 840709 136883.1 2951 840708 136883.1 2950 0.11119510161714974
"1919" 840717 136883.6 2959 840716 136883.6 2958 0.11119510090982554
"1919" 840722 136883.9 2964 840721 136883.9 2963 0.11119510090982554
"1919" 840735 136884.7 2977 840734 136884.7 2976 0.11119510161714974
"1919" 840737 136884.8 2979 840736 136884.8 2978 0.11119510090982554
"1919" 840740 136885.0 2982 840739 136885.0 2981 0.11119510161714974
"1919" 840748 136885.5 2990 840747 136885.5 2989 0.1275293557985862
"1919" 840750 136885.6 2992 840749 136885.6 2991 0.11119510161714974
"1919" 840753 136885.8 2995 840752 136885.8 2994 0.11119510090982554
"1919" 840755 136885.9 2997 840754 136885.9 2996 0.11119510232447394
"1919" 840761 136886.3 3003 840760 136886.3 3002 0.06244505260741443
"1919" 840766 136886.6 3008 840765 136886.6 3007 0.11119510161714974
"1919" 840768 136886.7 3010 840767 136886.7 3009 0.11119510090982554
"1919" 840771 136886.9 3013 840770 136886.9 3012 0.11119510090982554
"1919" 840773 136887.0 3015 840772 136887.0 3014 0.11119510090982554
"1919" 840779 136887.4 3021 840778 136887.4 3020 0.11119510090982554
"1919" 840781 136887.5 3023 840780 136887.5 3022 0.11119510161714974
"1919" 840784 136887.7 3026 840783 136887.7 3025 0.11119510090982554
"1919" 840786 136887.8 3028 840785 136887.8 3027 0.11119510161714974
"1919" 840797 136888.5 3039 840796 136888.5 3038 0.11119510161714974
"1919" 840799 136888.6 3041 840798 136888.6 3040 0.11119510090982554
"1919" 840802 136888.8 3044 840801 136888.8 3043 0.11119510090982554
equal_shape_distance_same_coordinates WARNING 16122

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 16122 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" 3434652 350.5 28 3434651 350.5 27
"43541" 3434663 811.7 39 3434662 811.7 38
"43541" 3434702 1779.8 78 3434701 1779.8 77
"43541" 3434746 3184.3 122 3434745 3184.3 121
"43541" 3434779 4418.1 155 3434778 4418.1 154
"43541" 3434795 4854.6 171 3434794 4854.6 170
"43541" 3434844 6561.9 220 3434843 6561.9 219
"43541" 3434880 7544.1 256 3434879 7544.1 255
"43541" 3434919 8757.6 295 3434918 8757.6 294
"43541" 3434936 9358.6 312 3434935 9358.6 311
"43541" 3434963 9709.1 339 3434962 9709.1 338
"43541" 3435009 10376.7 385 3435008 10376.7 384
"43541" 3435062 11116.1 438 3435061 11116.1 437
"43541" 3435093 11700.4 469 3435092 11700.4 468
"43541" 3435124 12284.8 500 3435123 12284.8 499
"43541" 3435385 14358.7 761 3435384 14358.7 760
"43541" 3435461 14706.8 837 3435460 14706.8 836
"43541" 3435561 15301.6 937 3435560 15301.6 936
"43541" 3435661 15896.4 1037 3435660 15896.4 1036
"43541" 3435737 16244.5 1113 3435736 16244.5 1112
"43541" 3435935 17133.2 1311 3435934 17133.2 1310
"43541" 3436178 18161.9 1554 3436177 18161.9 1553
"43541" 3436203 18472.3 1579 3436202 18472.3 1578
"43541" 3436253 18976.3 1629 3436252 18976.3 1628
"43541" 3436400 19673.4 1776 3436399 19673.4 1775
"43541" 3436629 21285.9 2005 3436628 21285.9 2004
"43541" 3436705 22756.6 2081 3436704 22756.6 2080
"43541" 3436781 24227.3 2157 3436780 24227.3 2156
"43541" 3436820 24719.6 2196 3436819 24719.6 2195
"43541" 3436837 25292.2 2213 3436836 25292.2 2212
"43541" 3436856 25625.9 2232 3436855 25625.9 2231
"43541" 3436944 26736.7 2320 3436943 26736.7 2319
"43541" 3437031 27236.5 2407 3437030 27236.5 2406
"43541" 3437080 28436.1 2456 3437079 28436.1 2455
"43541" 3437119 28928.5 2495 3437118 28928.5 2494
"43541" 3437170 29639.4 2546 3437169 29639.4 2545
"43541" 3437401 30811.2 2777 3437400 30811.2 2776
"43541" 3437477 31159.3 2853 3437476 31159.3 2852
"43541" 3437577 31754.1 2953 3437576 31754.1 2952
"43541" 3437677 32348.9 3053 3437676 32348.9 3052
"43541" 3437753 32697.0 3129 3437752 32697.0 3128
"43541" 3437951 33585.6 3327 3437950 33585.6 3326
"43541" 3438235 35228.5 3611 3438234 35228.5 3610
"43541" 3438288 35967.9 3664 3438287 35967.9 3663
"43541" 3438319 36552.2 3695 3438318 36552.2 3694
"43541" 3438350 37136.6 3726 3438349 37136.6 3725
"43531" 2347869 1036.1 44 2347868 1036.1 43
"43531" 2347898 1669.1 73 2347897 1669.1 72
"43531" 2347925 2285.2 100 2347924 2285.2 99
"43531" 2347966 4091.8 141 2347965 4091.8 140
expired_calendar WARNING 77

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 77 affected records are displayed below.

csvRowNumber (?) The row of the faulty record. serviceId (?) The service id of the faulty record.
24727 "62494"
25710 "67244"
25729 "65845"
25741 "59433"
25749 "67252"
25782 "60778"
25814 "76868"
25847 "72148"
25852 "90004"
25873 "61661"
25882 "76858"
25913 "67255"
25929 "89998"
26182 "13105"
26184 "14823"
26185 "17343"
26188 "20239"
26189 "12709"
26191 "17222"
26192 "20237"
26193 "13033"
26711 "43774"
26725 "48073"
26903 "47985"
26950 "48062"
26955 "48071"
27035 "24601"
27084 "13743"
27174 "1339"
27175 "1076"
27176 "2009"
27177 "2022"
27184 "2158"
27185 "2175"
27186 "2173"
27187 "2205"
27188 "2685"
27189 "2974"
27190 "3012"
27191 "2499"
27196 "1379"
27197 "2111"
27198 "2980"
27199 "2285"
27205 "1294"
27206 "2737"
27207 "2849"
27208 "2852"
27214 "2213"
27215 "2123"
fast_travel_between_consecutive_stops WARNING 1

fast_travel_between_consecutive_stops

A transit vehicle moves too fast between two consecutive stops.

The speed threshold depends on route type:

Route type Description Threshold, km/h
0 Light rail 100
1 Subway 150
2 Rail 500
3 Bus 150
4 Ferry 80
5 Cable tram 30
6 Aerial lift 50
7 Funicular 50
11 Trolleybus 150
12 Monorail 150
- Unknown 200

You can see more about this notice here.

tripCsvRowNumber (?) The row number of the problematic trip. tripId (?) `trip_id` of the problematic trip. routeId (?) `route_id` of the problematic trip. speedKph (?) Travel speed (km/h). distanceKm (?) Distance between stops (km). csvRowNumber1 (?) The row number of the first stop time. stopSequence1 (?) `stop_sequence` of the first stop. stopId1 (?) `stop_id` of the first stop. stopName1 (?) `stop_name` of the first stop. departureTime1 (?) `departure_time` of the first stop. csvRowNumber2 (?) The row number of the second stop time. stopSequence2 (?) `stop_sequence` of the second stop. stopId2 (?) `stop_id` of the second stop. stopName2 (?) `stop_name` of the second stop. arrivalTime2 (?) `arrival_time` of the second stop.
32957 "21_APNV_416-45-3-250526-ab-1310" "17272" 196.9887428340989 3.283145713901648 361985 17 "99227" "Krekenava" "14:03:00" 361986 18 "99243" "Rabikiai" "14:03:00"
missing_bike_allowance WARNING 118

missing_bike_allowance

Ferry trips should include bike allowance information.

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

You can see more about this notice here.

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

csvRowNumber (?) The row number of the faulty record. routeId (?) The faulty record's route id. tripId (?) The faulty record's trip id.
16277 "9444_7597246" "7597246"
16500 "9444_7597248" "7597248"
16517 "9444_7597221" "7597221"
16528 "9444_7597219" "7597219"
16619 "9444_7597249" "7597249"
17065 "9444_7597226" "7597226"
17313 "9444_7597227" "7597227"
17556 "9444_7597247" "7597247"
17855 "9444_7597239" "7597239"
17987 "9444_7597215" "7597215"
18306 "9444_7597213" "7597213"
18383 "9444_7597222" "7597222"
18406 "9444_7597220" "7597220"
35319 "9444_7597224" "7597224"
35455 "9444_7597217" "7597217"
35743 "9444_7597223" "7597223"
35799 "9444_7597218" "7597218"
35924 "9444_7597241" "7597241"
36004 "9444_7597237" "7597237"
36041 "9444_7123128" "7123128"
36101 "9444_7597235" "7597235"
36597 "9444_7597238" "7597238"
36673 "9444_7597245" "7597245"
36928 "9444_7597214" "7597214"
37311 "9444_7597225" "7597225"
37570 "9444_7597242" "7597242"
37790 "9444_7597244" "7597244"
38563 "9444_7123177" "7123177"
38851 "9444_7597240" "7597240"
39124 "9444_7597216" "7597216"
39380 "9444_7597236" "7597236"
39511 "9444_7597243" "7597243"
16384 "2699" "7597188"
16387 "2699" "7597203"
16397 "2699" "7597157"
16536 "2699" "7597127"
16612 "2699" "7597166"
16719 "2699" "7597136"
16764 "2699" "7597177"
16828 "2699" "7597202"
16858 "2699" "7597211"
16897 "2699" "7597208"
17006 "2699" "7597125"
17041 "2699" "7597187"
17082 "2699" "7597156"
17177 "2699" "7597210"
17185 "2699" "7597201"
17187 "2699" "7597172"
17199 "2699" "7597209"
17239 "2699" "7597189"
missing_recommended_file WARNING 1

missing_recommended_file

A recommended file is missing.

You can see more about this notice here.

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

missing_timepoint_value

stop_times.timepoint value is missing for a record.

When at least one of stop_times.arrival_time or stop_times.departure_time are provided, stop_times.timepoint should be defined

You can see more about this notice here.

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

csvRowNumber (?) The row number of the faulty record. tripId (?) The faulty record's `stop_times.trip_id`. stopSequence (?) The faulty record's `stop_times.stop_sequence`.
2 "41891" 1
3 "41891" 2
4 "41891" 3
5 "41891" 4
6 "41891" 5
7 "41891" 6
8 "41891" 7
9 "41891" 8
10 "41891" 9
11 "41979" 1
12 "41979" 2
13 "41979" 3
14 "41979" 4
15 "41980" 1
16 "41980" 2
17 "41980" 3
18 "41980" 4
19 "41981" 1
20 "41981" 2
21 "41981" 3
22 "41981" 4
23 "41982" 1
24 "41982" 2
25 "41982" 3
26 "41982" 4
27 "42101" 1
28 "42101" 2
29 "42101" 4
30 "42101" 5
31 "42101" 6
32 "42103" 1
33 "42103" 2
34 "42103" 4
35 "42103" 5
36 "42103" 6
37 "42105" 1
38 "42105" 2
39 "42105" 4
40 "42105" 5
41 "42203" 1
42 "42203" 2
43 "42203" 3
44 "42203" 4
45 "42203" 5
46 "42203" 6
47 "42203" 7
48 "42203" 8
49 "42203" 9
50 "42203" 10
51 "42203" 11
mixed_case_recommended_field WARNING 428

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 428 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\"" 20
"routes.txt" "route_long_name" "KUPIŠKIS – SUBAČIAUS MST. PER LUKONIS" 263
"routes.txt" "route_long_name" "KUPIŠKIS – SUBAČIAUS MST. PER LUKONIS" 264
"routes.txt" "route_long_name" "KUPIŠKIS – SUBAČIAUS MST. PER LUKONIS" 265
"routes.txt" "route_long_name" "KUPIŠKIS – SUBAČIAUS MST. PER LUKONIS" 266
"routes.txt" "route_long_name" "ŠVENČIONYS-ŠUTONYS-ŠVENČIONYS" 1033
"routes.txt" "route_long_name" "ŠVENČIONYS-ŠUTONYS-ŠVENČIONYS" 1034
"routes.txt" "route_long_name" "ŠVENČIONYS-ŠUTONYS-ŠVENČIONYS" 1035
"routes.txt" "route_long_name" "ŠVENČIONYS-ŠUTONYS-ŠVENČIONYS" 1036
"routes.txt" "route_long_name" "ŠVENČIONYS-ŠUTONYS-ŠVENČIONYS" 1037
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 1309
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 1310
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 1311
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 1325
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 1326
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 1327
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 1328
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 1329
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 1330
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 1331
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 1332
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 1333
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 1334
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 1335
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 1336
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 1337
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 1338
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 1339
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 1340
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 1341
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 1342
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 1343
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 1344
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 1345
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 1346
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 1347
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 1348
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 1349
"routes.txt" "route_long_name" "UKMERGĖ-III ANTAKALNIS-MIŠNIŪNAI" 1437
"routes.txt" "route_long_name" "UKMERGĖ-III ANTAKALNIS-MIŠNIŪNAI" 1438
"routes.txt" "route_long_name" "UKMERGĖ-III ANTAKALNIS-MIŠNIŪNAI" 1439
"routes.txt" "route_long_name" "KUPIŠKIS – ALIZAVA PER PALĖVENĖLĘ – KUPIŠKIS" 1459
"routes.txt" "route_long_name" "KUPIŠKIS – ALIZAVA PER PALĖVENĖLĘ – KUPIŠKIS" 1460
"routes.txt" "route_long_name" "KUPIŠKIS – ALIZAVA PER PALĖVENĖLĘ – KUPIŠKIS" 1461
"routes.txt" "route_long_name" "KUPIŠKIS – ALIZAVA PER PALĖVENĖLĘ – KUPIŠKIS" 1462
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER KANDRĖNUS, LAIČIUS" 1463
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER KANDRĖNUS, LAIČIUS" 1464
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS, KANDRĖNUS, LAIČIUS" 1479
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS, KANDRĖNUS, LAIČIUS" 1480
"routes.txt" "route_long_name" "KUPIŠKIS – ŠIMONYS PER MIGONIS" 1482
route_long_name_contains_short_name WARNING 48

route_long_name_contains_short_name

Long name should not contain short name for a single route.

In routes.txt, route_long_name should not contain the value for route_short_name, because when both are provided, they are often combined by transit applications. Note that only one of the two fields is required. If there is no short name used for a route, use route_long_name only.

Good examples:

route_short_name/route_long_name Dataset
"N"/"Judah" Muni San Fransisco
"6"/"ML King Jr Blvd" Trimet Portland Streetcar
"55"/"Boulevard Saint Laurent" STM Montreal
"1"/"Rangiora/Cashmere" Metro Christchurch

Bad examples:

route_short_name/route_long_name
"604"/"604"
"14"/"Route 14"
"2"/"Route 2: Bellows Falls In-Town"

You can see more about this notice here.

routeId (?) The id of the faulty record. csvRowNumber (?) The row number of the faulty record. routeShortName (?) The faulty record's `route_short_name`. routeLongName (?) The faulty record's `route_long_name`.
"20041" 2411 "889/890" "889/890"
"20059" 2412 "505" "505"
"20047" 2413 "847" "847"
"20083" 2414 "871" "871"
"20046" 2415 "636" "636"
"20127" 2416 "15" "15"
"20061" 2417 "671" "671"
"20042" 2418 "663" "663"
"20109" 2419 "830" "830"
"19519" 2420 "33" "33"
"20112" 2421 "672" "672"
"20051" 2422 "657" "657"
"20118" 2423 "44/43" "44/43"
"20048" 2425 "660" "660"
"20084" 2426 "634" "634"
"20071" 2427 "677" "677"
"20087" 2428 "824" "824"
"19677" 2429 "873" "873"
"20034" 2430 "821" "821"
"20103" 2431 "613" "613"
"20123" 2432 "666" "666"
"20115" 2433 "42/41" "42/41"
"20036" 2434 "612" "612"
"20073" 2435 "601" "601"
"20062" 2436 "635" "635"
"20100" 2437 "56/55" "56/55"
"20096" 2438 "632" "632"
"20043" 2439 "18" "18"
"20107" 2440 "623" "623"
"20117" 2441 "780" "780"
"20124" 2442 "966" "966"
"20106" 2443 "624" "624"
"20125" 2444 "22" "22"
"20079" 2445 "504" "504"
"20094" 2512 "611" "611"
"20093" 2513 "610" "610"
"20116" 2514 "961" "961"
"20088" 2515 "52/51" "52/51"
"20060" 2516 "629" "629"
"20097" 2517 "783" "783"
"20069" 2519 "602" "602"
"20101" 2520 "620" "620"
"20075" 2521 "637" "637"
"20130" 2522 "891/892" "891/892"
"20111" 2523 "633" "633"
"20119" 2524 "849" "849"
"20037" 2525 "25" "25"
"20049" 2526 "21" "21"
stop_too_far_from_shape WARNING 48

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.
17020 "3636" "45756" 2742 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
35818 "3651" "45771" 2771 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
39660 "3653" "45773" 2772 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
35798 "43544" "8124133" 499341 "9340" "Mokykla" [55.512857000000004,26.315831] 134.01174852768767
17276 "43548" "8124139" 499379 "8484" "Mokykla" [55.513561,26.317414] 128.25393944619788
17794 "26974" "7317018" 42659 "14216" "Glaudžiai" [55.90637400000001,21.877556999999996] 1731.1842381583824
17794 "26974" "7317018" 42660 "10163" "Glaudžiai I" [55.90637400000001,21.877556999999996] 935.5388323636666
17794 "26974" "7317018" 42675 "19491" "Plungės autobusų stotis" [55.918779,21.851513000000004] 152.03315218543798
17090 "18654" "3218451" 28090 "67434" "Geluva" [55.249732,23.511073] 140.46827403515317
18205 "32206" "7476585" 53683 "48065" "Troškūnų g." [55.521214350005486,25.097709664383384] 523.8519190658676
18205 "32206" "7476585" 53684 "48066" "Geležinkelio stotis" [55.526276,25.103853] 785.72734673045
18205 "32206" "7476585" 53685 "48068" "Kalno parduotuvė" [55.526598,25.099623999999995] 574.8082135251354
18205 "32206" "7476585" 53688 "48071" "Pušyno mikrorajonas" [55.521132,25.115296] 658.3695095777266
18205 "32206" "7476585" 53693 "48070" "Žiburio g." [55.525912999999996,25.113931000000004] 146.43308427108235
37159 "3899" "46086" 2880 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
36613 "3014" "43694" 1969 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
17415 "29420" "7429613" 48786 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
35348 "4529" "46899" 3816 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
17844 "4527" "47691" 5330 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
38536 "4528" "47692" 5331 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
16970 "14622" "7150732" 40809 "14754" "Naiviai" [55.84397975379556,25.145549112350125] 765.6219655883444
36015 "2821" "45017" 2666 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
37843 "29615" "7432118" 49194 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
17737 "29616" "7432119" 49242 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
10802 "21886" "60_A2-02-1-241209-ba-0720" 78717 "5846" "Grūtas" [54.032271447911626,24.074587772943918] 103.01117636409927
460 "21885" "60_A2-02-1-241209-ab-1550" 75451 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
43569 "21887" "60_A2-01-7-060404-ab3-1430" 937030 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
43566 "21891" "60_A2-01-6-060404-ab2-0740" 935136 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
11695 "21865" "60_A2-01-7-060404-b3a-0920" 935080 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
9169 "21872" "60_A2-01-6-060404-b2a-1520" 935371 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
39888 "3339" "46943" 3817 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
18549 "4710" "47249" 4548 "4945" "Onuškis" [54.48374200000001,24.591959000000003] 103.16686496628398
17324 "4711" "47251" 4561 "4945" "Onuškis" [54.48374200000001,24.591959000000003] 103.16686496628398
37340 "11705" "747606" 18218 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
35234 "6511" "54508" 10540 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
16867 "6509" "54501" 10474 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
37506 "6513" "54509" 10552 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
17007 "29093" "7413976" 46392 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
38234 "29092" "7413975" 46362 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
17932 "5232" "48165" 5733 "14684" "Lieplaukalė" [55.9354974471734,21.831098374058865] 152.04079667279404
36034 "44681" "8136900" 555418 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
34967 "3514" "45563" 2689 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
39432 "3537" "45591" 2714 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
17913 "17131" "2515700" 25403 "16347" "Sudervė" [54.761036,25.063001999999997] 2603.225038082936
36306 "3574" "45644" 2715 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
39986 "3617" "45754" 2741 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
17070 "15331" "2211799" 22356 "6964" "Mikieriai" [55.66300100000001,25.169295] 153.6142678364674
37294 "15330" "2211797" 22343 "6964" "Mikieriai" [55.66300100000001,25.169295] 153.6142678364674
stop_too_far_from_shape_using_user_distance WARNING 1979

stop_too_far_from_shape_using_user_distance

Stop time too far from shape.

A stop time entry that is a large distance away from the location of the shape in shapes.txt as defined by shape_dist_traveled values.

You can see more about this notice here.

Only the first 50 of 1979 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.
16561 "2306" "42265" 94 "6108" "Pabiržė" [56.186395,24.638922] 111.09619690966086
17464 "29279" "7808792" 69867 "11298" "Dūkštas" [55.522186,26.326283] 128.73024628759987
17464 "29279" "7808792" 69868 "6435" "Kazitiškis" [55.44094,26.154197] 147.47885677899333
16990 "2311" "42206" 62 "5099" "Pabiržė" [56.18681599999999,24.641152] 103.47004017508962
39166 "3645" "57657" 14533 "21193" "Armalėnai" [55.345282999999995,21.524139999999996] 515.6282344209887
39166 "3645" "57657" 14535 "8212" "Laučiai" [55.348317,21.582878] 1599.9806101167858
39166 "3645" "57657" 14537 "9188" "Kulėšai" [55.350125,21.651488999999998] 615.7475497503724
35252 "3647" "57656" 14520 "4454" "Šiaudvyčiai" [55.358036,21.757813] 375.7986694276942
35252 "3647" "57656" 14524 "16623" "Kulėšai" [55.350585,21.655338] 433.9281553817577
35252 "3647" "57656" 14526 "12037" "Laučiai" [55.34827,21.585965] 595.7718133392607
35252 "3647" "57656" 14528 "15225" "Armelėnai" [55.345339,21.523148999999997] 346.2640605324547
38192 "3648" "57725" 14596 "21193" "Armalėnai" [55.345282999999995,21.524139999999996] 515.6282344209887
38192 "3648" "57725" 14597 "8212" "Laučiai" [55.348317,21.582878] 1599.9806101167858
38192 "3648" "57725" 14598 "9188" "Kulėšai" [55.350125,21.651488999999998] 615.7475497503724
17567 "18599" "3176345" 27987 "67551" "Smalininkai" [55.073710000000005,22.585033000000003] 101.17555812106261
17567 "18599" "3176345" 27988 "70413" "Endriušiai" [55.07045200000001,22.551038000000002] 110.04882174758713
18018 "3660" "57728" 14662 "8158" "Gaideliai" [55.311469,21.536597] 105.05450381520245
16273 "2328" "42519" 334 "34439" "Barklainiai" [55.57636500000001,24.33654] 109.41190267024095
16273 "2328" "42519" 338 "8801" "Truskava" [55.42807,24.226915999999996] 108.57192003033137
16273 "2328" "42519" 343 "8793" "Vilainių Kryžkėlė" [55.297476,24.001683999999997] 156.53722977211984
16273 "2328" "42519" 345 "19449" "Kėdainių autobusų stotis" [55.277976,23.957868000000005] 107.38156884853971
16273 "2328" "42519" 350 "15556" "Cinkiškiai" [55.137733,23.726043] 104.77760279633111
16273 "2328" "42519" 353 "21440" "Šilainių poliklinika" [54.928996,23.888238] 117.43104968066861
17799 "29243" "7417931" 47710 "71222" "Punios kryžkelė" [54.510866,24.141879] 124.15849198503955
17799 "29243" "7417931" 47713 "12009" "Pikelionys" [54.58166899999999,24.23009] 203.19182457138012
37212 "29248" "7417950" 47777 "12300" "Radeikiai" [55.5551,25.749846] 246.62315921847596
35377 "29247" "7417946" 47741 "11853" "Griškonys" [54.509164000000006,24.211872] 147.72052990617368
35377 "29247" "7417946" 47751 "4945" "Onuškis" [54.48374200000001,24.591959000000003] 103.16686496628398
18180 "3659" "57726" 14633 "4454" "Šiaudvyčiai" [55.358036,21.757813] 375.7986694276942
18180 "3659" "57726" 14635 "16623" "Kulėšai" [55.350585,21.655338] 433.9281553817577
18180 "3659" "57726" 14636 "12037" "Laučiai" [55.34827,21.585965] 595.7718133392607
18180 "3659" "57726" 14637 "15225" "Armelėnai" [55.345339,21.523148999999997] 346.2640605324547
17044 "43543" "8124132" 499319 "12305" "Asavitai" [55.703985,26.172187] 102.48920376972593
35798 "43544" "8124133" 499330 "12372" "Bikėnai" [55.625846,26.085534] 197.74319552249798
35798 "43544" "8124133" 499339 "12325" "Pažemiškis" [55.546236,26.320203] 110.10611471906037
35798 "43544" "8124133" 499340 "11298" "Dūkštas" [55.522734,26.326768] 196.63604957133003
17059 "43545" "8124135" 499351 "12305" "Asavitai" [55.703985,26.172187] 102.48920376972593
17495 "43546" "8124137" 499362 "12372" "Bikėnai" [55.625846,26.085534] 197.74319552249798
36255 "43547" "8124138" 499374 "12372" "Bikėnai" [55.625846,26.085534] 197.74319552249798
39076 "3667" "57730" 14672 "21193" "Armalėnai" [55.345282999999995,21.524139999999996] 515.6282344209887
39076 "3667" "57730" 14674 "8212" "Laučiai" [55.348317,21.582878] 1599.9806101167858
39076 "3667" "57730" 14676 "9188" "Kulėšai" [55.350125,21.651488999999998] 615.7475497503724
39653 "3669" "46828" 3661 "16046" "Vakagaliai" [55.573358,24.408162000000004] 119.76442899603569
39653 "3669" "46828" 3664 "13057" "Sodeliškiai" [55.61964700000001,24.422913] 113.78340477735338
39653 "3669" "46828" 3665 "11026" "Kabeliai" [55.64137899999999,24.434119] 106.51998312310263
39653 "3669" "46828" 3666 "10993" "Pajuodžiai" [55.660582,24.435641] 105.74496736542777
40086 "23928" "5600149" 39215 "21428" "Degalinė" [54.009406,23.991598000000003] 109.51697608579956
36695 "42205" "8095585" 382121 "5136" "Vaidminiai" [56.284815,23.440383999999998] 100.24151036524563
36695 "42205" "8095585" 382126 "9004" "Kalnelis" [56.246912,23.548685] 102.08297507460881
37012 "42207" "8095590" 382206 "9730" "Centras" [56.242309,23.614399999999996] 104.42244072153835
stops_match_shape_out_of_order WARNING 15

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.
39166 "3645" "57657" 14535 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14534 "12152" "Jonaičiai" [55.34641499999999,21.570023]
39076 "3667" "57730" 14674 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14673 "13926" "Jonaičiai" [55.346103,21.568929]
18153 "3714" "57736" 14748 "13926" "Jonaičiai" [55.346103,21.568929] 14747 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
39022 "13808" "1228372" 21040 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 21039 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
18030 "26489" "7231018" 41402 "10486" "Kuršų m-la" [55.853816990580704,22.40675061105697] 41401 "7720" "Baltininkai" [55.85382305337965,22.406770171019815]
18221 "35668" "7652364" 65362 "20855" "Kontariškiai" [56.04984708813942,24.383280063416947] 65361 "20829" "Smegduobių parkas" [56.056377166218944,24.39590345350891]
18221 "35668" "7652364" 65361 "20829" "Smegduobių parkas" [56.05317339553889,24.387273474952703] 65360 "19487" "Pasvalio autobusų stotis" [56.05950362854711,24.40461665319357]
39760 "28435" "7339430" 43984 "64819" "Suostas" [56.32837413018391,24.713657886432735] 43983 "16112" "Svydžiai" [56.352930797976754,24.686322368913352]
16944 "28434" "7339429" 43960 "10057" "Svydžiai" [56.35334128457164,24.685572701413516] 43959 "64820" "Suostas" [56.32837775901334,24.713656830174433]
18143 "6591" "57636" 14211 "13926" "Jonaičiai" [55.346103,21.568929] 14210 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
37649 "3554" "57639" 14251 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14250 "12152" "Jonaičiai" [55.34641499999999,21.570023]
37842 "29102" "7413991" 46486 "71231" "Žuvintai" [54.448579423202126,23.62330650767253] 46485 "71255" "Litvanciškai" [54.41436513808293,23.67340583550103]
17163 "40377" "8016002" 104623 "72301" "Kirlikai" [55.32834500402225,21.565359093761266] 104622 "97223" "Tarvydai I" [55.328604,21.56423]
37165 "40378" "8016003" 104632 "71683" "Tarvydai II" [55.31814711876975,21.598011981975805] 104631 "97223" "Tarvydai I" [55.328604,21.56423]
16601 "5353" "57623" 14057 "13926" "Jonaičiai" [55.346103,21.568929] 14056 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
trip_distance_exceeds_shape_distance_below_threshold WARNING 33

trip_distance_exceeds_shape_distance_below_threshold

The distance between the last shape point and last stop point is greater than 0 but less than the 11.1m threshold.

You can see more about this notice here.

tripId (?) The faulty record's trip id. shapeId (?) The faulty record's shape id. maxTripDistanceTraveled (?) The faulty record's trip max distance traveled. maxShapeDistanceTraveled (?) The faulty record's shape max distance traveled. geoDistanceToShape (?) The distance in meters between the shape and the stop.
"7591204" "29907" 46659.6 46595.0 0.0
"7429583" "29408" 218417.3 216987.8 3.6589691064705088
"7440065" "29908" 48945.1 48880.5 3.6589691064705088
"7439808" "29897" 37992.5 37927.9 0.0
"7559277" "33948" 53402.3 51972.8 3.6589691064705088
"7559280" "33948" 53402.3 51972.8 3.6589691064705088
"7559283" "33948" 53402.3 51972.8 3.6589691064705088
"2515700" "17131" 29034.0 20568.0 0.670257789608405
"7559279" "33948" 53402.3 51972.8 3.6589691064705088
"7559285" "33948" 53402.3 51972.8 3.6589691064705088
"7559282" "33948" 53402.3 51972.8 3.6589691064705088
"7559286" "33948" 53402.3 51972.8 3.6589691064705088
"7440066" "29907" 46659.6 46595.0 0.0
"2515701" "17131" 29034.0 20568.0 0.670257789608405
"7561834" "14524" 9747.3 9733.2 9.065558762703288
"7591205" "29907" 46659.6 46595.0 0.0
"7559287" "33948" 53402.3 51972.8 3.6589691064705088
"7440060" "29898" 37226.5 37161.9 3.6589691064705088
"7559284" "33948" 53402.3 51972.8 3.6589691064705088
"7561835" "14523" 8212.0 8198.0 9.065558762703288
"7595284" "29908" 48945.1 48880.5 3.6589691064705088
"7562476" "33948" 53402.3 51972.8 3.6589691064705088
"7440068" "29908" 48945.1 48880.5 3.6589691064705088
"7440067" "29907" 46659.6 46595.0 0.0
"7559276" "33948" 53402.3 51972.8 3.6589691064705088
"7555314" "33822" 40438.5 39009.0 0.06390898515367063
"7439809" "29897" 37992.5 37927.9 0.0
"7439806" "29897" 37992.5 37927.9 0.0
"7440062" "29898" 37226.5 37161.9 3.6589691064705088
"7440063" "29898" 37226.5 37161.9 3.6589691064705088
"7559278" "33948" 53402.3 51972.8 3.6589691064705088
"7440061" "29898" 37226.5 37161.9 3.6589691064705088
"7440064" "29907" 46659.6 46595.0 0.0
unknown_column INFO 19

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" "note_id" 3
"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