GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-06-08T13:03:19Z,
for the dataset file:///shared/marijampoles_06d171ac.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

  • Marijampolės savivaldybės administracija

Feed Info

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

Files included

  1. agency.txt
  2. calendar.txt
  3. routes.txt
  4. shapes.txt
  5. stop_times.txt
  6. stops.txt
  7. trips.txt

Counts

  • Agencies: 1
  • Blocks: 0
  • Routes: 18
  • Shapes: 126
  • Stops: 295
  • Trips: 371

Specification Compliance report

41117 notices reported (30144 errors, 10957 warnings, 16 infos)

Notice Code Severity Total
forbidden_arrival_or_departure_time ERROR 7536

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 7536 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 "11:12:00" "11:12:00" "00:00:00" "00:00:00"
3 "11:13:00" "11:13:00" "00:00:00" "00:00:00"
4 "11:14:00" "11:14:00" "00:00:00" "00:00:00"
5 "11:16:00" "11:16:00" "00:00:00" "00:00:00"
6 "11:18:00" "11:18:00" "00:00:00" "00:00:00"
7 "11:20:00" "11:20:00" "00:00:00" "00:00:00"
8 "11:22:00" "11:22:00" "00:00:00" "00:00:00"
9 "11:24:00" "11:24:00" "00:00:00" "00:00:00"
10 "11:26:00" "11:26:00" "00:00:00" "00:00:00"
11 "11:27:00" "11:27:00" "00:00:00" "00:00:00"
12 "11:28:00" "11:28:00" "00:00:00" "00:00:00"
13 "11:29:00" "11:29:00" "00:00:00" "00:00:00"
14 "11:30:00" "11:30:00" "00:00:00" "00:00:00"
15 "11:32:00" "11:32:00" "00:00:00" "00:00:00"
16 "11:34:00" "11:34:00" "00:00:00" "00:00:00"
17 "11:35:00" "11:35:00" "00:00:00" "00:00:00"
18 "11:36:00" "11:36:00" "00:00:00" "00:00:00"
19 "11:38:00" "11:38:00" "00:00:00" "00:00:00"
20 "11:40:00" "11:40:00" "00:00:00" "00:00:00"
21 "11:41:00" "11:41:00" "00:00:00" "00:00:00"
22 "11:43:00" "11:43:00" "00:00:00" "00:00:00"
23 "11:45:00" "11:45:00" "00:00:00" "00:00:00"
24 "11:46:00" "11:46:00" "00:00:00" "00:00:00"
25 "13:22:00" "13:22:00" "00:00:00" "00:00:00"
26 "13:24:00" "13:24:00" "00:00:00" "00:00:00"
27 "13:26:00" "13:26:00" "00:00:00" "00:00:00"
28 "13:27:00" "13:27:00" "00:00:00" "00:00:00"
29 "13:28:00" "13:28:00" "00:00:00" "00:00:00"
30 "12:56:00" "12:56:00" "00:00:00" "00:00:00"
31 "12:57:00" "12:57:00" "00:00:00" "00:00:00"
32 "12:58:00" "12:58:00" "00:00:00" "00:00:00"
33 "13:00:00" "13:00:00" "00:00:00" "00:00:00"
34 "13:02:00" "13:02:00" "00:00:00" "00:00:00"
35 "13:03:00" "13:03:00" "00:00:00" "00:00:00"
36 "13:05:00" "13:05:00" "00:00:00" "00:00:00"
37 "13:06:00" "13:06:00" "00:00:00" "00:00:00"
38 "13:08:00" "13:08:00" "00:00:00" "00:00:00"
39 "13:10:00" "13:10:00" "00:00:00" "00:00:00"
40 "13:12:00" "13:12:00" "00:00:00" "00:00:00"
41 "13:14:00" "13:14:00" "00:00:00" "00:00:00"
42 "13:15:00" "13:15:00" "00:00:00" "00:00:00"
43 "13:16:00" "13:16:00" "00:00:00" "00:00:00"
44 "13:17:00" "13:17:00" "00:00:00" "00:00:00"
45 "13:18:00" "13:18:00" "00:00:00" "00:00:00"
46 "13:22:00" "13:22:00" "00:00:00" "00:00:00"
47 "13:24:00" "13:24:00" "00:00:00" "00:00:00"
48 "13:26:00" "13:26:00" "00:00:00" "00:00:00"
49 "13:28:00" "13:28:00" "00:00:00" "00:00:00"
50 "13:30:00" "13:30:00" "00:00:00" "00:00:00"
51 "13:31:00" "13:31:00" "00:00:00" "00:00:00"
forbidden_drop_off_type ERROR 7536

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 7536 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"
forbidden_pickup_type ERROR 7536

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 7536 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"
invalid_pickup_drop_off_window ERROR 7536

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 7536 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"
equal_shape_distance_same_coordinates WARNING 3419

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 3419 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`.
"57340" 51405 618.9 12 51404 618.9 11
"57340" 51408 652.5 15 51407 652.5 14
"57340" 51422 872.1 29 51421 872.1 28
"57340" 51439 2532.8 46 51438 2532.8 45
"57340" 51464 4442.8 71 51463 4442.8 70
"57340" 51482 5896.6 89 51481 5896.6 88
"57340" 51493 6773.0 100 51492 6773.0 99
"57340" 51500 7164.9 107 51499 7164.9 106
"57340" 51504 7272.8 111 51503 7272.8 110
"57340" 51532 9057.2 139 51531 9057.2 138
"57340" 51551 10229.7 158 51550 10229.7 157
"57340" 51556 10309.0 163 51555 10309.0 162
"57340" 51563 10412.5 170 51562 10412.5 169
"57340" 51590 11129.9 197 51589 11129.9 196
"57340" 51605 11501.0 212 51604 11501.0 211
"57340" 51613 11860.5 220 51612 11860.5 219
"57340" 51656 12509.8 263 51655 12509.8 262
"57340" 51659 12626.8 266 51658 12626.8 265
"57341" 51692 59.7 17 51691 59.7 16
"57341" 51695 176.7 20 51694 176.7 19
"57341" 51708 587.5 33 51707 587.5 32
"57341" 51763 1455.9 88 51762 1455.9 87
"57341" 51785 1727.1 110 51784 1727.1 109
"57341" 51794 2075.4 119 51793 2075.4 118
"57341" 51802 2237.7 127 51801 2237.7 126
"57341" 51823 3237.1 148 51822 3237.1 147
"57341" 51827 3720.4 152 51826 3720.4 151
"57341" 51842 4167.6 167 51841 4167.6 166
"57341" 51852 4540.0 177 51851 4540.0 176
"57341" 51854 4583.0 179 51853 4583.0 178
"57341" 51876 5301.1 201 51875 5301.1 200
"57341" 51946 5613.8 271 51945 5613.8 270
"57341" 51949 5656.5 274 51948 5656.5 273
"57341" 51958 6031.8 283 51957 6031.8 282
"57341" 51988 7392.6 313 51987 7392.6 312
"57341" 52027 9618.7 352 52026 9618.7 351
"57341" 52044 11831.2 369 52043 11831.2 368
"57341" 52055 13119.3 380 52054 13119.3 379
"57341" 52071 13617.4 396 52070 13617.4 395
"57341" 52087 14115.4 412 52086 14115.4 411
"57341" 52144 15661.3 469 52143 15661.3 468
"57341" 52166 16819.1 491 52165 16819.1 490
"57341" 52220 18516.3 545 52219 18516.3 544
"57341" 52233 19107.4 558 52232 19107.4 557
"57341" 52246 19698.5 571 52245 19698.5 570
"57341" 52300 21395.7 625 52299 21395.7 624
"57341" 52302 21491.0 627 52301 21491.0 626
"57341" 52320 23957.4 645 52319 23957.4 644
"57341" 52326 25150.4 651 52325 25150.4 650
"57342" 52376 618.4 17 52375 618.4 16
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 7536

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 7536 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 "61_48-20260528" 0
3 "61_48-20260528" 1
4 "61_48-20260528" 2
5 "61_48-20260528" 3
6 "61_48-20260528" 4
7 "61_48-20260528" 5
8 "61_48-20260528" 6
9 "61_48-20260528" 7
10 "61_48-20260528" 8
11 "61_48-20260528" 9
12 "61_48-20260528" 10
13 "61_48-20260528" 11
14 "61_48-20260528" 12
15 "61_48-20260528" 13
16 "61_48-20260528" 14
17 "61_48-20260528" 15
18 "61_48-20260528" 16
19 "61_48-20260528" 17
20 "61_48-20260528" 18
21 "61_48-20260528" 19
22 "61_48-20260528" 20
23 "61_48-20260528" 21
24 "61_48-20260528" 22
25 "61_529-20260528" 0
26 "61_529-20260528" 1
27 "61_529-20260528" 2
28 "61_529-20260528" 3
29 "61_529-20260528" 4
30 "61_51-20260528" 0
31 "61_51-20260528" 1
32 "61_51-20260528" 2
33 "61_51-20260528" 3
34 "61_51-20260528" 4
35 "61_51-20260528" 5
36 "61_51-20260528" 6
37 "61_51-20260528" 7
38 "61_51-20260528" 8
39 "61_51-20260528" 9
40 "61_51-20260528" 10
41 "61_51-20260528" 11
42 "61_51-20260528" 12
43 "61_51-20260528" 13
44 "61_51-20260528" 14
45 "61_51-20260528" 15
46 "61_51-20260528" 16
47 "61_51-20260528" 17
48 "61_51-20260528" 18
49 "61_51-20260528" 19
50 "61_51-20260528" 20
51 "61_51-20260528" 21
mixed_case_recommended_field WARNING 1

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.

filename (?) Name of the faulty file. fieldName (?) Name of the faulty field. fieldValue (?) Faulty value. csvRowNumber (?) The row number of the faulty record.
"stops.txt" "stop_name" "PC \"IKI\"" 262
unknown_column INFO 16

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.
"routes.txt" "eligibility_restricted" 10
"routes.txt" "bikes_allowed" 11
"routes.txt" "regional_fare_card" 12
"stops.txt" "vehicle_type" 13
"stops.txt" "mta_stop_id" 16
"stops.txt" "regional_fare_card" 17
"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