lietuvos-transporto — Source Data Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-05-22T15:44:09Z,
for the dataset file:///shared/lietuvos-transporto_a48c6f41.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: 64
  • Blocks: 0
  • Routes: 3696
  • Shapes: 5121
  • Stops: 17377
  • Trips: 53112

Specification Compliance report

527925 notices reported (402034 errors, 125872 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" 40720 44095.4 17 40719 44095.4 16
"7874236" "26166" 71400 2009.5 4 71399 2009.5 3
"8124121" "21023" 475341 9521.8 8 475340 9521.8 7
"8124125" "21023" 475360 9521.8 8 475359 9521.8 7
"1222537" "5509" 20632 20018.1 7 20631 20018.1 6
"8069411" "7470" 149397 8203.6 8 149396 8203.6 7
"8069411" "11216" 149405 24117.0 17 149404 24117.0 16
"8069413" "7470" 149439 8203.6 8 149438 8203.6 7
"8069413" "11216" 149448 24117.0 17 149447 24117.0 16
"8069412" "7470" 149418 8203.6 8 149417 8203.6 7
"8069412" "11216" 149426 24117.0 17 149425 24117.0 16
duplicate_key ERROR 1985

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 1985 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.
"stops.txt" 874 894 "stop_id" "44952"
"stops.txt" 953 1033 "stop_id" "8959"
"stops.txt" 828 1056 "stop_id" "15287"
"stops.txt" 327 1066 "stop_id" "22168"
"stops.txt" 792 1095 "stop_id" "4720"
"stops.txt" 805 1237 "stop_id" "11777"
"stops.txt" 1151 1271 "stop_id" "19489"
"stops.txt" 1363 1398 "stop_id" "9684"
"stops.txt" 862 1528 "stop_id" "6174"
"stops.txt" 720 1531 "stop_id" "7276"
"stops.txt" 1077 1803 "stop_id" "4655"
"stops.txt" 1002 1850 "stop_id" "8714"
"stops.txt" 1432 1873 "stop_id" "11553"
"stops.txt" 1173 1874 "stop_id" "11570"
"stops.txt" 493 1896 "stop_id" "12865"
"stops.txt" 475 1904 "stop_id" "14748"
"stops.txt" 1481 1960 "stop_id" "23606"
"stops.txt" 1751 1961 "stop_id" "3704"
"stops.txt" 1950 2050 "stop_id" "16942"
"stops.txt" 2031 2053 "stop_id" "17115"
"stops.txt" 1992 2068 "stop_id" "17350"
"stops.txt" 1171 2137 "stop_id" "11298"
"stops.txt" 1974 2171 "stop_id" "29045"
"stops.txt" 848 2201 "stop_id" "19480"
"stops.txt" 1889 2208 "stop_id" "19488"
"stops.txt" 1406 2232 "stop_id" "16337"
"stops.txt" 1266 2235 "stop_id" "19485"
"stops.txt" 1167 2322 "stop_id" "5817"
"stops.txt" 1985 2511 "stop_id" "4111"
"stops.txt" 1541 2725 "stop_id" "45265"
"stops.txt" 1064 2749 "stop_id" "22085"
"stops.txt" 1142 2762 "stop_id" "5412"
"stops.txt" 906 2764 "stop_id" "7291"
"stops.txt" 907 2765 "stop_id" "7326"
"stops.txt" 718 2827 "stop_id" "5723"
"stops.txt" 792 2834 "stop_id" "4720"
"stops.txt" 1901 2868 "stop_id" "4747"
"stops.txt" 1194 2948 "stop_id" "11813"
"stops.txt" 2122 3032 "stop_id" "11300"
"stops.txt" 1406 3073 "stop_id" "16337"
"stops.txt" 955 3088 "stop_id" "7934"
"stops.txt" 1263 3116 "stop_id" "15069"
"stops.txt" 985 3197 "stop_id" "8336"
"stops.txt" 2221 3329 "stop_id" "6235"
"stops.txt" 965 3337 "stop_id" "71315"
"stops.txt" 385 3351 "stop_id" "45777"
"stops.txt" 1058 3358 "stop_id" "15394"
"stops.txt" 1164 3376 "stop_id" "7413"
"stops.txt" 1121 3393 "stop_id" "5140"
"stops.txt" 820 3411 "stop_id" "71191"
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 38

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.
"7559289" "33949" 53706.4 52276.9 35.47466877025625
"7559292" "33949" 53706.4 52276.9 35.47466877025625
"7476584" "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
"7559296" "33949" 53706.4 52276.9 35.47466877025625
"7559299" "33949" 53706.4 52276.9 35.47466877025625
"7317015" "26974" 10008.2 8028.3 152.03315218543855
"7559297" "33949" 53706.4 52276.9 35.47466877025625
"7559291" "33949" 53706.4 52276.9 35.47466877025625
"7555313" "33821" 40528.8 39099.3 35.47466877025625
"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
"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
"7476585" "32206" 24295.6 13723.6 46.847173432108875
"7652364" "35668" 68062.6 68008.2 640.9168339500501
"7429581" "29409" 219092.9 217663.4 17.908616128466356
"7317014" "26974" 10008.2 8028.3 152.03315218543855
"7317012" "26974" 10008.2 8028.3 152.03315218543855
"7559290" "33949" 53706.4 52276.9 35.47466877025625
"1785550" "14608" 32411.9 30842.4 18.64210795469535
"7476587" "32206" 24295.6 13723.6 46.847173432108875
"7231024" "26500" 65664.3 65592.6 18.496192821711233
"7559298" "33949" 53706.4 52276.9 35.47466877025625
"7561761" "16294" 254635.9 254635.8 20.668319256736904
"7476583" "32206" 24295.6 13723.6 46.847173432108875
"7476588" "32206" 24295.6 13723.6 46.847173432108875
"7559295" "33949" 53706.4 52276.9 35.47466877025625
"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
duplicate_route_name WARNING 1888

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 1888 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_1732766" 4 "2009_1732765" "130" "Linkuva - Diržiai - Pakruojis - Žeimelis - Pakruojis" 3 "20"
3 "2009_1732766" 5 "2009_1732764" "130" "Linkuva - Diržiai - Pakruojis - Žeimelis - Pakruojis" 3 "20"
3 "2009_1732766" 6 "2009_1732767" "130" "Linkuva - Diržiai - Pakruojis - Žeimelis - Pakruojis" 3 "20"
7 "1990_7652556" 8 "1990_7652555" "71" "Pasvalys-Narteikiai" 3 "25"
7 "1990_7652556" 9 "1990_7652559" "71" "Pasvalys-Narteikiai" 3 "25"
7 "1990_7652556" 10 "1990_7652553" "71" "Pasvalys-Narteikiai" 3 "25"
7 "1990_7652556" 11 "1990_7652560" "71" "Pasvalys-Narteikiai" 3 "25"
7 "1990_7652556" 12 "1990_7652562" "71" "Pasvalys-Narteikiai" 3 "25"
7 "1990_7652556" 13 "1990_7652554" "71" "Pasvalys-Narteikiai" 3 "25"
7 "1990_7652556" 14 "1990_7652561" "71" "Pasvalys-Narteikiai" 3 "25"
15 "683_7433795" 16 "683_7433794" "M-658" "Skuodas-Klaipėda" 3 "2"
15 "683_7433795" 17 "683_7433796" "M-658" "Skuodas-Klaipėda" 3 "2"
15 "683_7433795" 18 "683_7433793" "M-658" "Skuodas-Klaipėda" 3 "2"
19 "684_7433603" 20 "684_7433606" "M-659" "Skuodas-Klaipėda" 3 "2"
19 "684_7433603" 21 "684_7433604" "M-659" "Skuodas-Klaipėda" 3 "2"
19 "684_7433603" 22 "684_7433605" "M-659" "Skuodas-Klaipėda" 3 "2"
19 "684_7433603" 23 "684_7433602" "M-659" "Skuodas-Klaipėda" 3 "2"
19 "684_7433603" 24 "684_7433601" "M-659" "Skuodas-Klaipėda" 3 "2"
25 "691_43739" 26 "691_43730" "M-680" "Šakiai-Vilnius" 3 "2"
25 "691_43739" 27 "691_43725" "M-680" "Šakiai-Vilnius" 3 "2"
25 "691_43739" 28 "691_43741" "M-680" "Šakiai-Vilnius" 3 "2"
25 "691_43739" 29 "691_43744" "M-680" "Šakiai-Vilnius" 3 "2"
30 "726_42788" 31 "726_42783" "M-801" "Tauragė-Šiauliai" 3 "2"
30 "726_42788" 32 "726_42791" "M-801" "Tauragė-Šiauliai" 3 "2"
30 "726_42788" 33 "726_42790" "M-801" "Tauragė-Šiauliai" 3 "2"
30 "726_42788" 34 "726_42792" "M-801" "Tauragė-Šiauliai" 3 "2"
30 "726_42788" 35 "726_42784" "M-801" "Tauragė-Šiauliai" 3 "2"
37 "3785_311304" 38 "3785_311301" "157M" "Nemenčinė - Gėla" 3 "53"
37 "3785_311304" 39 "3785_311302" "157M" "Nemenčinė - Gėla" 3 "53"
37 "3785_311304" 40 "3785_311300" "157M" "Nemenčinė - Gėla" 3 "53"
37 "3785_311304" 41 "3785_311299" "157M" "Nemenčinė - Gėla" 3 "53"
37 "3785_311304" 42 "3785_311305" "157M" "Nemenčinė - Gėla" 3 "53"
43 "3788_311290" 44 "3788_311289" "162M" "Vilnius (Antakalnio tr.m.) - Eitminiškės per Sirvydiškes, Dailydėnus" 3 "53"
43 "3788_311290" 45 "3788_311288" "162M" "Vilnius (Antakalnio tr.m.) - Eitminiškės per Sirvydiškes, Dailydėnus" 3 "53"
46 "2046_261743" 47 "2046_261745" "48" "Utena - Užpaliai per Vyžuonas" 3 "34"
46 "2046_261743" 48 "2046_261741" "48" "Utena - Užpaliai per Vyžuonas" 3 "34"
46 "2046_261743" 49 "2046_261747" "48" "Utena - Užpaliai per Vyžuonas" 3 "34"
50 "359_45017" 51 "359_46943" "50-00" "Molėtai - Girsteitiškis - Alanta" 3 "9"
52 "484_44912" 53 "484_44915" "M-137" "Alytus-Vilnius" 3 "2"
52 "484_44912" 54 "484_44913" "M-137" "Alytus-Vilnius" 3 "2"
52 "484_44912" 55 "484_44916" "M-137" "Alytus-Vilnius" 3 "2"
56 "441_60593" 57 "441_60595" "M-262" "Marijampolė-Kaunas" 3 "2"
59 "528_42454" 60 "528_42452" "M-107" "Alytus-Kaunas" 3 "2"
65 "555_7946329" 66 "555_7946330" "M-310" "Kaunas-Palanga" 3 "2"
67 "563_42920" 68 "563_42916" "M-321" "Kaunas-Mažeikiai" 3 "2"
71 "569_42515" 72 "569_42519" "M-329" "Kaunas-Panevėžys" 3 "2"
71 "569_42515" 73 "569_42520" "M-329" "Kaunas-Panevėžys" 3 "2"
71 "569_42515" 74 "569_42518" "M-329" "Kaunas-Panevėžys" 3 "2"
71 "569_42515" 75 "569_42517" "M-329" "Kaunas-Panevėžys" 3 "2"
76 "576_43143" 77 "576_43144" "M-351" "Kaunas-Šilalė" 3 "2"
equal_shape_distance_diff_coordinates_distance_below_threshold WARNING 3905

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 3905 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" 562526 29882.7 878 562525 29882.7 877 0.12791084993239907
"2328" 478456 35929.8 642 478455 35929.8 641 0.11119510090982554
"3659" 557576 49657.5 1177 557575 49657.5 1176 0.12791084993239907
"42205" 3752049 57850.1 335 3752048 57850.1 334 0.06178544815632574
"2369" 472107 63265.5 1261 472106 63265.5 1260 0.11119510090982554
"2385" 668490 69168.3 1771 668489 69168.3 1770 0.06441976500794575
"28733" 2435793 71509.2 1569 2435792 71509.2 1568 0.06441976500794575
"1919" 807290 136875.8 2842 807289 136875.8 2841 0.12752942403551987
"1919" 807293 136876.0 2845 807292 136876.0 2844 0.11119510090982554
"1919" 807300 136876.5 2852 807299 136876.5 2851 0.11119510232447394
"1919" 807303 136876.7 2855 807302 136876.7 2854 0.11119510161714974
"1919" 807306 136876.9 2858 807305 136876.9 2857 0.12752941555597483
"1919" 807315 136877.5 2867 807314 136877.5 2866 0.11119510090982554
"1919" 807318 136877.7 2870 807317 136877.7 2869 0.11119510161714974
"1919" 807321 136877.9 2873 807320 136877.9 2872 0.11119510090982554
"1919" 807328 136878.4 2880 807327 136878.4 2879 0.11119510090982554
"1919" 807331 136878.6 2883 807330 136878.6 2882 0.11119510161714974
"1919" 807340 136879.2 2892 807339 136879.2 2891 0.11119510090982554
"1919" 807343 136879.4 2895 807342 136879.4 2894 0.12752939825777979
"1919" 807346 136879.6 2898 807345 136879.6 2897 0.11119510161714974
"1919" 807355 136880.2 2907 807354 136880.2 2906 0.11119510161714974
"1919" 807359 136880.5 2911 807358 136880.5 2910 0.06244513630731429
"1919" 807365 136880.9 2917 807364 136880.9 2916 0.11119510161714974
"1919" 807368 136881.1 2920 807367 136881.1 2919 0.11119510090982554
"1919" 807371 136881.3 2923 807370 136881.3 2922 0.11119510090982554
"1919" 807380 136881.9 2932 807379 136881.9 2931 0.12752938095958766
"1919" 807383 136882.1 2935 807382 136882.1 2934 0.11119510161714974
"1919" 807394 136882.8 2946 807393 136882.8 2945 0.11119510161714974
"1919" 807399 136883.1 2951 807398 136883.1 2950 0.11119510161714974
"1919" 807407 136883.6 2959 807406 136883.6 2958 0.11119510090982554
"1919" 807412 136883.9 2964 807411 136883.9 2963 0.11119510090982554
"1919" 807425 136884.7 2977 807424 136884.7 2976 0.11119510161714974
"1919" 807427 136884.8 2979 807426 136884.8 2978 0.11119510090982554
"1919" 807430 136885.0 2982 807429 136885.0 2981 0.11119510161714974
"1919" 807438 136885.5 2990 807437 136885.5 2989 0.1275293557985862
"1919" 807440 136885.6 2992 807439 136885.6 2991 0.11119510161714974
"1919" 807443 136885.8 2995 807442 136885.8 2994 0.11119510090982554
"1919" 807445 136885.9 2997 807444 136885.9 2996 0.11119510232447394
"1919" 807451 136886.3 3003 807450 136886.3 3002 0.06244505260741443
"1919" 807456 136886.6 3008 807455 136886.6 3007 0.11119510161714974
"1919" 807458 136886.7 3010 807457 136886.7 3009 0.11119510090982554
"1919" 807461 136886.9 3013 807460 136886.9 3012 0.11119510090982554
"1919" 807463 136887.0 3015 807462 136887.0 3014 0.11119510090982554
"1919" 807469 136887.4 3021 807468 136887.4 3020 0.11119510090982554
"1919" 807471 136887.5 3023 807470 136887.5 3022 0.11119510161714974
"1919" 807474 136887.7 3026 807473 136887.7 3025 0.11119510090982554
"1919" 807476 136887.8 3028 807475 136887.8 3027 0.11119510161714974
"1919" 807487 136888.5 3039 807486 136888.5 3038 0.11119510161714974
"1919" 807489 136888.6 3041 807488 136888.6 3040 0.11119510090982554
"1919" 807492 136888.8 3044 807491 136888.8 3043 0.11119510090982554
equal_shape_distance_same_coordinates WARNING 16956

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 16956 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`.
"55560" 3475948 25.8 3 3475947 25.8 2
"55560" 3475989 2388.3 44 3475988 2388.3 43
"55560" 3476001 3182.6 56 3476000 3182.6 55
"55560" 3476005 3262.5 60 3476004 3262.5 59
"55560" 3476060 5428.3 115 3476059 5428.3 114
"55560" 3476069 5767.2 124 3476068 5767.2 123
"55560" 3476071 5959.5 126 3476070 5959.5 125
"55560" 3476074 6072.2 129 3476073 6072.2 128
"55560" 3476094 7328.9 149 3476093 7328.9 148
"55560" 3476129 9433.5 184 3476128 9433.5 183
"55560" 3476144 10146.9 199 3476143 10146.9 198
"55560" 3476165 11247.0 220 3476164 11247.0 219
"55560" 3476169 11334.1 224 3476168 11334.1 223
"55560" 3476219 14027.0 274 3476218 14027.0 273
"55560" 3476232 14822.5 287 3476231 14822.5 286
"55560" 3476257 16299.5 312 3476256 16299.5 311
"55560" 3476285 17487.3 340 3476284 17487.3 339
"55560" 3476323 19123.6 378 3476322 19123.6 377
"55560" 3476330 19373.1 385 3476329 19373.1 384
"55560" 3476357 20736.5 412 3476356 20736.5 411
"55560" 3476361 20821.5 416 3476360 20821.5 415
"55560" 3476393 21684.5 448 3476392 21684.5 447
"55560" 3476396 21734.4 451 3476395 21734.4 450
"55560" 3476403 22070.6 458 3476402 22070.6 457
"55560" 3476410 22632.4 465 3476409 22632.4 464
"55560" 3476417 23104.4 472 3476416 23104.4 471
"55560" 3476434 23985.8 489 3476433 23985.8 488
"55560" 3476440 24095.3 495 3476439 24095.3 494
"55560" 3476442 24162.1 497 3476441 24162.1 496
"55564" 3478450 387.4 21 3478449 387.4 20
"55564" 3478458 517.7 29 3478457 517.7 28
"55564" 3478482 1286.2 53 3478481 1286.2 52
"55564" 3478493 1651.0 64 3478492 1651.0 63
"55564" 3478496 1717.3 67 3478495 1717.3 66
"55564" 3478498 1746.4 69 3478497 1746.4 68
"55564" 3478500 1790.4 71 3478499 1790.4 70
"55564" 3478503 1896.5 74 3478502 1896.5 73
"55564" 3478506 1925.9 77 3478505 1925.9 76
"55564" 3478510 2045.2 81 3478509 2045.2 80
"55564" 3478515 2341.1 86 3478514 2341.1 85
"55564" 3478524 2582.6 95 3478523 2582.6 94
"55564" 3478528 2663.9 99 3478527 2663.9 98
"55564" 3478540 2771.7 111 3478539 2771.7 110
"55564" 3478555 2855.1 126 3478554 2855.1 125
"55564" 3478560 2992.2 131 3478559 2992.2 130
"55564" 3478568 3182.5 139 3478567 3182.5 138
"55564" 3478570 3254.5 141 3478569 3254.5 140
"55564" 3478576 3485.8 147 3478575 3485.8 146
"55564" 3478596 4000.4 167 3478595 4000.4 166
"55564" 3478616 4321.1 187 3478615 4321.1 186
expired_calendar WARNING 75

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 75 affected records are displayed below.

csvRowNumber (?) The row of the faulty record. serviceId (?) The service id of the faulty record.
27449 "62494"
28942 "13105"
28945 "14823"
28946 "17343"
28949 "20239"
28950 "12709"
28952 "17222"
28953 "20237"
28954 "13033"
29472 "43774"
29485 "48073"
29497 "74979"
29498 "74744"
29531 "44517"
29536 "44515"
29672 "47985"
29699 "43756"
29720 "48062"
29725 "48071"
29784 "74978"
29802 "24601"
29848 "13743"
29970 "1339"
29971 "1076"
29972 "2009"
29973 "2022"
29980 "2158"
29981 "2175"
29982 "2173"
29983 "2205"
29984 "2685"
29985 "2974"
29986 "3012"
29987 "2499"
29992 "1379"
29993 "2111"
29994 "2980"
29995 "2285"
29997 "66551"
30001 "1294"
30002 "2737"
30003 "2849"
30004 "2852"
30009 "2213"
30010 "2123"
30011 "2766"
30012 "2975"
30013 "2850"
30014 "47502"
30016 "66550"
fast_travel_between_consecutive_stops WARNING 2

fast_travel_between_consecutive_stops

A transit vehicle moves too fast between two consecutive stops.

The speed threshold depends on route type:

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

You can see more about this notice here.

tripCsvRowNumber (?) The row number of the problematic trip. tripId (?) `trip_id` of the problematic trip. routeId (?) `route_id` of the problematic trip. speedKph (?) Travel speed (km/h). distanceKm (?) Distance between stops (km). csvRowNumber1 (?) The row number of the first stop time. stopSequence1 (?) `stop_sequence` of the first stop. stopId1 (?) `stop_id` of the first stop. stopName1 (?) `stop_name` of the first stop. departureTime1 (?) `departure_time` of the first stop. csvRowNumber2 (?) The row number of the second stop time. stopSequence2 (?) `stop_sequence` of the second stop. stopId2 (?) `stop_id` of the second stop. stopName2 (?) `stop_name` of the second stop. arrivalTime2 (?) `arrival_time` of the second stop.
2129 "21_APNV_416-45-3-250526-ab-1310" "17272" 196.9887428340989 3.283145713901648 344937 17 "99227" "Krekenava" "14:03:00" 344938 18 "99243" "Rabikiai" "14:03:00"
28444 "48_1760" "16027" 241.63706430018638 4.0272844050031065 1108277 33 "71255" "Ąžuoliniai" "07:55:00" 1108278 34 "92301" "Ostampas" "07:55:00"
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.
28444 "48_1760" "16027" 205.63332489854255 10.281666244927129 1108274 30 "92286" "Gluosninkai" "07:53:00" 1108278 34 "92301" "Ostampas" "07:55:00"
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.
4991 "9444_7597224" "7597224"
5139 "9444_7597241" "7597241"
5567 "9444_7597223" "7597223"
5583 "9444_7597237" "7597237"
5767 "9444_7597238" "7597238"
5823 "9444_7123128" "7123128"
6088 "9444_7597214" "7597214"
6110 "9444_7597245" "7597245"
6932 "9444_7597244" "7597244"
8263 "9444_7597236" "7597236"
49881 "9444_7597227" "7597227"
50126 "9444_7597247" "7597247"
50336 "9444_7597215" "7597215"
50422 "9444_7597239" "7597239"
50726 "9444_7597222" "7597222"
50750 "9444_7597220" "7597220"
50871 "9444_7597213" "7597213"
51022 "9444_7597225" "7597225"
51244 "9444_7597246" "7597246"
51257 "9444_7597242" "7597242"
51435 "9444_7597217" "7597217"
51717 "9444_7597218" "7597218"
51958 "9444_7597235" "7597235"
52026 "9444_7597248" "7597248"
52043 "9444_7597221" "7597221"
52055 "9444_7597219" "7597219"
52332 "9444_7597249" "7597249"
52374 "9444_7123177" "7123177"
52453 "9444_7597240" "7597240"
52676 "9444_7597216" "7597216"
52996 "9444_7597243" "7597243"
53028 "9444_7597226" "7597226"
4878 "2699" "7597149"
4978 "2699" "7597167"
4983 "2699" "7597134"
4992 "2699" "7597206"
4998 "2699" "7597143"
5009 "2699" "7597190"
5201 "2699" "7597193"
5211 "2699" "7597175"
5247 "2699" "7597204"
5302 "2699" "7597142"
5530 "2699" "7597207"
5572 "2699" "7597021"
5748 "2699" "7597129"
5759 "2699" "7597153"
5869 "2699" "7597198"
6014 "2699" "7597173"
6465 "2699" "7597141"
6739 "2699" "7597184"
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 828

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 828 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" 256
"routes.txt" "route_long_name" "KUPIŠKIS – SUBAČIAUS MST. PER LUKONIS" 257
"routes.txt" "route_long_name" "KUPIŠKIS – SUBAČIAUS MST. PER LUKONIS" 258
"routes.txt" "route_long_name" "KUPIŠKIS – SUBAČIAUS MST. PER LUKONIS" 259
"routes.txt" "route_long_name" "ŠVENČIONYS-ŠUTONYS-ŠVENČIONYS" 1028
"routes.txt" "route_long_name" "ŠVENČIONYS-ŠUTONYS-ŠVENČIONYS" 1029
"routes.txt" "route_long_name" "ŠVENČIONYS-ŠUTONYS-ŠVENČIONYS" 1030
"routes.txt" "route_long_name" "ŠVENČIONYS-ŠUTONYS-ŠVENČIONYS" 1031
"routes.txt" "route_long_name" "ŠVENČIONYS-ŠUTONYS-ŠVENČIONYS" 1032
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 1304
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 1305
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 1306
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 1320
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 1321
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 1322
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 1323
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 1324
"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" "UKMERGĖ-III ANTAKALNIS-MIŠNIŪNAI" 1421
"routes.txt" "route_long_name" "UKMERGĖ-III ANTAKALNIS-MIŠNIŪNAI" 1422
"routes.txt" "route_long_name" "UKMERGĖ-III ANTAKALNIS-MIŠNIŪNAI" 1423
"routes.txt" "route_long_name" "KUPIŠKIS – ALIZAVA PER PALĖVENĖLĘ – KUPIŠKIS" 1443
"routes.txt" "route_long_name" "KUPIŠKIS – ALIZAVA PER PALĖVENĖLĘ – KUPIŠKIS" 1444
"routes.txt" "route_long_name" "KUPIŠKIS – ALIZAVA PER PALĖVENĖLĘ – KUPIŠKIS" 1445
"routes.txt" "route_long_name" "KUPIŠKIS – ALIZAVA PER PALĖVENĖLĘ – KUPIŠKIS" 1446
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER KANDRĖNUS, LAIČIUS" 1447
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER KANDRĖNUS, LAIČIUS" 1448
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS, KANDRĖNUS, LAIČIUS" 1463
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS, KANDRĖNUS, LAIČIUS" 1464
"routes.txt" "route_long_name" "KUPIŠKIS – ŠIMONYS PER MIGONIS" 1466
route_long_name_contains_short_name WARNING 56

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.

Only the first 50 of 56 affected records are displayed below.

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`.
"21371" 3272 "833" "833"
"21233" 3273 "624" "624"
"21038" 3274 "848" "848"
"21252" 3275 "506" "506"
"21407" 3276 "877" "877"
"21040" 3277 "33" "33"
"21409" 3278 "19" "19"
"21213" 3279 "704" "704"
"19439" 3280 "644" "644"
"21019" 3281 "971" "971"
"19654" 3282 "886" "886"
"21358" 3283 "617" "617"
"21397" 3284 "669" "669"
"21393" 3285 "891/892" "891/892"
"21027" 3286 "696" "696"
"21390" 3287 "25" "25"
"21036" 3288 "863" "863"
"21395" 3291 "648" "648"
"21361" 3292 "42/41" "42/41"
"21263" 3293 "611" "611"
"21235" 3294 "505" "505"
"19465" 3295 "655" "655"
"21399" 3296 "610" "610"
"21051" 3297 "679" "679"
"20082" 3298 "675" "675"
"21360" 3299 "52/51" "52/51"
"21057" 3300 "946" "946"
"21388" 3301 "662" "662"
"21402" 3302 "780" "780"
"21071" 3303 "612" "612"
"21368" 3304 "635" "635"
"21067" 3305 "31" "31"
"21377" 3306 "615" "615"
"19572" 3307 "967" "967"
"21382" 3308 "911" "911"
"21380" 3309 "889/890" "889/890"
"21075" 3310 "855" "855"
"21199" 3311 "782" "782"
"21245" 3312 "666" "666"
"21403" 3313 "629" "629"
"20987" 3328 "941" "941"
"20997" 3329 "754" "754"
"19560" 3330 "649" "649"
"21370" 3331 "632" "632"
"21406" 3332 "22" "22"
"21405" 3333 "44/43" "44/43"
"21381" 3334 "783" "783"
"21404" 3335 "602" "602"
"21264" 3336 "56/55" "56/55"
"21198" 3342 "637" "637"
stop_too_far_from_shape WARNING 42

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.
52797 "3636" "45756" 2602 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
51924 "3651" "45771" 2631 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
8724 "3653" "45773" 2632 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
51716 "43544" "8124133" 475600 "9340" "Mokykla" [55.512857000000004,26.315831] 134.01174852768767
49586 "43548" "8124139" 475638 "8484" "Mokykla" [55.513561,26.317414] 128.25393944619788
5434 "26974" "7317010" 41756 "14216" "Glaudžiai" [55.90637400000001,21.877556999999996] 1731.1842381583824
5434 "26974" "7317010" 41757 "10163" "Glaudžiai I" [55.90637400000001,21.877556999999996] 935.5388323636666
5434 "26974" "7317010" 41772 "19491" "Plungės autobusų stotis" [55.918779,21.851513000000004] 152.03315218543798
53054 "18654" "3218451" 27646 "67434" "Geluva" [55.249732,23.511073] 140.46827403515317
5255 "32206" "7476584" 52621 "48065" "Troškūnų g." [55.521214350005486,25.097709664383384] 523.8519190658676
5255 "32206" "7476584" 52622 "48066" "Geležinkelio stotis" [55.526276,25.103853] 785.72734673045
5255 "32206" "7476584" 52623 "48068" "Kalno parduotuvė" [55.526598,25.099623999999995] 574.8082135251354
5255 "32206" "7476584" 52626 "48071" "Pušyno mikrorajonas" [55.521132,25.115296] 658.3695095777266
5255 "32206" "7476584" 52631 "48070" "Žiburio g." [55.525912999999996,25.113931000000004] 146.43308427108235
6316 "3899" "46086" 2740 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
5782 "3014" "43694" 1854 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
49629 "29420" "7429613" 47828 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
5019 "4529" "46899" 3676 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
50192 "4527" "47691" 5190 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
52160 "4528" "47692" 5191 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
52867 "14622" "7150732" 40042 "14754" "Naiviai" [55.84397975379556,25.145549112350125] 765.6219655883444
5594 "2821" "45017" 2526 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
6984 "29615" "7432118" 48236 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
50307 "29616" "7432119" 48284 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
51080 "3339" "46943" 3677 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
9108 "4710" "47248" 4396 "4945" "Onuškis" [54.48374200000001,24.591959000000003] 103.16686496628398
49890 "4711" "47251" 4421 "4945" "Onuškis" [54.48374200000001,24.591959000000003] 103.16686496628398
51052 "11705" "747606" 18127 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
6137 "6511" "54507" 10388 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
49634 "6509" "54502" 10349 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
6652 "6513" "54509" 10412 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
51359 "29093" "7413977" 45531 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
51884 "29092" "7413975" 45487 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
5886 "5232" "48167" 5609 "14684" "Lieplaukalė" [55.9354974471734,21.831098374058865] 152.04079667279404
5816 "44681" "8136900" 529726 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
9144 "3514" "45563" 2549 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
8514 "3537" "45591" 2574 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
5817 "17131" "2515701" 24985 "16347" "Sudervė" [54.761036,25.063001999999997] 2603.225038082936
5477 "3574" "45644" 2575 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
8801 "3617" "45754" 2601 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
9365 "15331" "2211798" 22005 "6964" "Mikieriai" [55.66300100000001,25.169295] 153.6142678364674
51006 "15330" "2211797" 22004 "6964" "Mikieriai" [55.66300100000001,25.169295] 153.6142678364674
stop_too_far_from_shape_using_user_distance WARNING 1951

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 1951 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.
8575 "2306" "42203" 56 "6108" "Pabiržė" [56.186395,24.638922] 111.09619690966086
6447 "29279" "8206928" 847275 "11298" "Dūkštas" [55.522186,26.326283] 128.73024628759987
6447 "29279" "8206928" 847276 "6435" "Kazitiškis" [55.44094,26.154197] 147.47885677899333
52887 "2311" "42206" 62 "5099" "Pabiržė" [56.18681599999999,24.641152] 103.47004017508962
52718 "3645" "57657" 14443 "21193" "Armalėnai" [55.345282999999995,21.524139999999996] 515.6282344209887
52718 "3645" "57657" 14445 "8212" "Laučiai" [55.348317,21.582878] 1599.9806101167858
52718 "3645" "57657" 14447 "9188" "Kulėšai" [55.350125,21.651488999999998] 615.7475497503724
9310 "3647" "57656" 14430 "4454" "Šiaudvyčiai" [55.358036,21.757813] 375.7986694276942
9310 "3647" "57656" 14434 "16623" "Kulėšai" [55.350585,21.655338] 433.9281553817577
9310 "3647" "57656" 14436 "12037" "Laučiai" [55.34827,21.585965] 595.7718133392607
9310 "3647" "57656" 14438 "15225" "Armelėnai" [55.345339,21.523148999999997] 346.2640605324547
51838 "3648" "57725" 14506 "21193" "Armalėnai" [55.345282999999995,21.524139999999996] 515.6282344209887
51838 "3648" "57725" 14507 "8212" "Laučiai" [55.348317,21.582878] 1599.9806101167858
51838 "3648" "57725" 14508 "9188" "Kulėšai" [55.350125,21.651488999999998] 615.7475497503724
50137 "18599" "3176345" 27543 "67551" "Smalininkai" [55.073710000000005,22.585033000000003] 101.17555812106261
50137 "18599" "3176345" 27544 "70413" "Endriušiai" [55.07045200000001,22.551038000000002] 110.04882174758713
50367 "3660" "57728" 14572 "8158" "Gaideliai" [55.311469,21.536597] 105.05450381520245
51240 "2328" "42519" 334 "34439" "Barklainiai" [55.57636500000001,24.33654] 109.41190267024095
51240 "2328" "42519" 338 "8801" "Truskava" [55.42807,24.226915999999996] 108.57192003033137
51240 "2328" "42519" 343 "8793" "Vilainių Kryžkėlė" [55.297476,24.001683999999997] 156.53722977211984
51240 "2328" "42519" 345 "19449" "Kėdainių autobusų stotis" [55.277976,23.957868000000005] 107.38156884853971
51240 "2328" "42519" 350 "15556" "Cinkiškiai" [55.137733,23.726043] 104.77760279633111
51240 "2328" "42519" 353 "21440" "Šilainių poliklinika" [54.928996,23.888238] 117.43104968066861
50145 "29243" "7417931" 46835 "71222" "Punios kr." [54.510866,24.141879] 124.15849198503955
50145 "29243" "7417931" 46838 "12009" "Pikelionys" [54.58166899999999,24.23009] 203.19182457138012
6372 "29248" "7417950" 46902 "12300" "Radeikiai" [55.5551,25.749846] 246.62315921847596
5249 "29247" "7417946" 46866 "11853" "Griškonys" [54.509164000000006,24.211872] 147.72052990617368
5249 "29247" "7417946" 46876 "4945" "Onuškis" [54.48374200000001,24.591959000000003] 103.16686496628398
6667 "3659" "57727" 14565 "4454" "Šiaudvyčiai" [55.358036,21.757813] 375.7986694276942
6667 "3659" "57727" 14567 "16623" "Kulėšai" [55.350585,21.655338] 433.9281553817577
6667 "3659" "57727" 14568 "12037" "Laučiai" [55.34827,21.585965] 595.7718133392607
6667 "3659" "57727" 14569 "15225" "Armelėnai" [55.345339,21.523148999999997] 346.2640605324547
52821 "43543" "8124132" 475578 "12305" "Asavitai" [55.703985,26.172187] 102.48920376972593
51716 "43544" "8124133" 475589 "12372" "Bikėnai" [55.625846,26.085534] 197.74319552249798
51716 "43544" "8124133" 475598 "12325" "Pažemiškis" [55.546236,26.320203] 110.10611471906037
51716 "43544" "8124133" 475599 "11298" "Dūkštas" [55.522734,26.326768] 196.63604957133003
53023 "43545" "8124135" 475610 "12305" "Asavitai" [55.703985,26.172187] 102.48920376972593
50064 "43546" "8124137" 475621 "12372" "Bikėnai" [55.625846,26.085534] 197.74319552249798
5423 "43547" "8124138" 475633 "12372" "Bikėnai" [55.625846,26.085534] 197.74319552249798
8006 "3667" "57730" 14582 "21193" "Armalėnai" [55.345282999999995,21.524139999999996] 515.6282344209887
8006 "3667" "57730" 14584 "8212" "Laučiai" [55.348317,21.582878] 1599.9806101167858
8006 "3667" "57730" 14586 "9188" "Kulėšai" [55.350125,21.651488999999998] 615.7475497503724
8717 "3669" "46828" 3521 "16046" "Vakagaliai" [55.573358,24.408162000000004] 119.76442899603569
8717 "3669" "46828" 3524 "13057" "Sodeliškiai" [55.61964700000001,24.422913] 113.78340477735338
8717 "3669" "46828" 3525 "11026" "Kabeliai" [55.64137899999999,24.434119] 106.51998312310263
8717 "3669" "46828" 3526 "10993" "Pajuodžiai" [55.660582,24.435641] 105.74496736542777
6132 "42205" "8095585" 364851 "5136" "Vaidminiai" [56.284815,23.440383999999998] 100.24151036524563
6132 "42205" "8095585" 364856 "9004" "Kalnelis" [56.246912,23.548685] 102.08297507460881
6452 "42207" "8095590" 364936 "9730" "Centras" [56.242309,23.614399999999996] 104.42244072153835
50208 "2360" "42454" 126 "45588" "Balbieriškis" [54.525695,23.885512] 101.9398713702966
stops_match_shape_out_of_order WARNING 16

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.
52718 "3645" "57657" 14445 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14444 "12152" "Jonaičiai" [55.34641499999999,21.570023]
8006 "3667" "57730" 14584 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14583 "13926" "Jonaičiai" [55.346103,21.568929]
49522 "3714" "57735" 14642 "13926" "Jonaičiai" [55.346103,21.568929] 14641 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
8181 "13808" "1228372" 20701 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 20700 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
50379 "26489" "7231018" 40635 "10486" "Kuršų m-la" [55.853816990580704,22.40675061105697] 40634 "7720" "Baltininkai" [55.85382305337965,22.406770171019815]
50563 "35668" "7652364" 64324 "20855" "Kontariškiai" [56.04984708813942,24.383280063416947] 64323 "20829" "Smegduobių parkas" [56.056377166218944,24.39590345350891]
50563 "35668" "7652364" 64323 "20829" "Smegduobių parkas" [56.05317339553889,24.387273474952703] 64322 "19487" "Pasvalio autobusų stotis" [56.05950362854711,24.40461665319357]
8590 "28435" "7339430" 43217 "64819" "Suostas" [56.32837413018391,24.713657886432735] 43216 "16112" "Svydžiai" [56.352930797976754,24.686322368913352]
52841 "28434" "7339429" 43193 "10057" "Svydžiai" [56.35334128457164,24.685572701413516] 43192 "64820" "Suostas" [56.32837775901334,24.713656830174433]
50398 "6591" "57636" 14121 "13926" "Jonaičiai" [55.346103,21.568929] 14120 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
8231 "3554" "57643" 14249 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14248 "12152" "Jonaičiai" [55.34641499999999,21.570023]
49684 "40377" "8016002" 93607 "72301" "Kirlikai" [55.32834500402225,21.565359093761266] 93606 "97223" "Tarvydai I" [55.328604,21.56423]
6322 "40378" "8016003" 93616 "71683" "Tarvydai II" [55.31814711876975,21.598011981975805] 93615 "97223" "Tarvydai I" [55.328604,21.56423]
8869 "5353" "57618" 13933 "13926" "Jonaičiai" [55.346103,21.568929] 13932 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
5839 "54901" "8226897" 932005 "45588" "Balbieriškis" [54.524770000000004,23.885448] 932004 "45784" "Balbieriškis" [54.525039387689404,23.885400507640224]
50904 "54903" "8241502" 1032251 "45588" "Balbieriškis" [54.524770000000004,23.885448] 1032250 "45784" "Balbieriškis" [54.525039387689404,23.885400507640224]
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.
"7559279" "33948" 53402.3 51972.8 3.6589691064705088
"2515701" "17131" 29034.0 20568.0 0.670257789608405
"7561834" "14524" 9747.3 9733.2 9.065558762703288
"7559287" "33948" 53402.3 51972.8 3.6589691064705088
"7440060" "29898" 37226.5 37161.9 3.6589691064705088
"7561835" "14523" 8212.0 8198.0 9.065558762703288
"7591205" "29907" 46659.6 46595.0 0.0
"7595284" "29908" 48945.1 48880.5 3.6589691064705088
"7562476" "33948" 53402.3 51972.8 3.6589691064705088
"7439809" "29897" 37992.5 37927.9 0.0
"7440062" "29898" 37226.5 37161.9 3.6589691064705088
"7439806" "29897" 37992.5 37927.9 0.0
"7440063" "29898" 37226.5 37161.9 3.6589691064705088
"7440061" "29898" 37226.5 37161.9 3.6589691064705088
"7440064" "29907" 46659.6 46595.0 0.0
"7559277" "33948" 53402.3 51972.8 3.6589691064705088
"7559283" "33948" 53402.3 51972.8 3.6589691064705088
"7559280" "33948" 53402.3 51972.8 3.6589691064705088
"2515700" "17131" 29034.0 20568.0 0.670257789608405
"7559284" "33948" 53402.3 51972.8 3.6589691064705088
"7559285" "33948" 53402.3 51972.8 3.6589691064705088
"7591204" "29907" 46659.6 46595.0 0.0
"7559282" "33948" 53402.3 51972.8 3.6589691064705088
"7559286" "33948" 53402.3 51972.8 3.6589691064705088
"7429583" "29408" 218417.3 216987.8 3.6589691064705088
"7440068" "29908" 48945.1 48880.5 3.6589691064705088
"7440067" "29907" 46659.6 46595.0 0.0
"7440066" "29907" 46659.6 46595.0 0.0
"7559276" "33948" 53402.3 51972.8 3.6589691064705088
"7555314" "33822" 40438.5 39009.0 0.06390898515367063
"7440065" "29908" 48945.1 48880.5 3.6589691064705088
"7439808" "29897" 37992.5 37927.9 0.0
"7559278" "33948" 53402.3 51972.8 3.6589691064705088
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