GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-02-13T12:45:40Z,
for the dataset file:///shared/kelmesr_5b19c3da.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. calendar.txt
  3. calendar_dates.txt
  4. routes.txt
  5. shapes.txt
  6. stop_times.txt
  7. stops.txt
  8. trips.txt

Counts

  • Agencies: 1
  • Blocks: 0
  • Routes: 44
  • Shapes: 136
  • Stops: 429
  • Trips: 175

Specification Compliance report

11845 notices reported (9385 errors, 2444 warnings, 16 infos)

Notice Code Severity Total
forbidden_arrival_or_departure_time ERROR 2432

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 2432 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 "07:00:00" "07:00:00" "00:00:00" "00:00:00"
3 "07:05:00" "07:05:00" "00:00:00" "00:00:00"
4 "07:10:00" "07:10:00" "00:00:00" "00:00:00"
5 "07:14:00" "07:14:00" "00:00:00" "00:00:00"
6 "07:18:00" "07:18:00" "00:00:00" "00:00:00"
7 "07:25:00" "07:25:00" "00:00:00" "00:00:00"
8 "08:20:00" "08:20:00" "00:00:00" "00:00:00"
9 "08:30:00" "08:30:00" "00:00:00" "00:00:00"
10 "08:40:00" "08:40:00" "00:00:00" "00:00:00"
11 "08:45:00" "08:45:00" "00:00:00" "00:00:00"
12 "08:50:00" "08:50:00" "00:00:00" "00:00:00"
13 "08:55:00" "08:55:00" "00:00:00" "00:00:00"
14 "14:00:00" "14:00:00" "00:00:00" "00:00:00"
15 "14:05:00" "14:05:00" "00:00:00" "00:00:00"
16 "14:10:00" "14:10:00" "00:00:00" "00:00:00"
17 "14:14:00" "14:14:00" "00:00:00" "00:00:00"
18 "14:18:00" "14:18:00" "00:00:00" "00:00:00"
19 "14:25:00" "14:25:00" "00:00:00" "00:00:00"
20 "17:50:00" "17:50:00" "00:00:00" "00:00:00"
21 "17:55:00" "17:55:00" "00:00:00" "00:00:00"
22 "18:00:00" "18:00:00" "00:00:00" "00:00:00"
23 "18:04:00" "18:04:00" "00:00:00" "00:00:00"
24 "18:08:00" "18:08:00" "00:00:00" "00:00:00"
25 "18:15:00" "18:15:00" "00:00:00" "00:00:00"
26 "15:15:00" "15:15:00" "00:00:00" "00:00:00"
27 "15:22:00" "15:22:00" "00:00:00" "00:00:00"
28 "15:26:00" "15:26:00" "00:00:00" "00:00:00"
29 "15:30:00" "15:30:00" "00:00:00" "00:00:00"
30 "15:35:00" "15:35:00" "00:00:00" "00:00:00"
31 "15:40:00" "15:40:00" "00:00:00" "00:00:00"
32 "18:15:00" "18:15:00" "00:00:00" "00:00:00"
33 "18:22:00" "18:22:00" "00:00:00" "00:00:00"
34 "18:26:00" "18:26:00" "00:00:00" "00:00:00"
35 "18:30:00" "18:30:00" "00:00:00" "00:00:00"
36 "18:35:00" "18:35:00" "00:00:00" "00:00:00"
37 "18:40:00" "18:40:00" "00:00:00" "00:00:00"
38 "06:15:00" "06:15:00" "00:00:00" "00:00:00"
39 "06:20:00" "06:20:00" "00:00:00" "00:00:00"
40 "06:23:00" "06:23:00" "00:00:00" "00:00:00"
41 "06:25:00" "06:25:00" "00:00:00" "00:00:00"
42 "06:29:00" "06:29:00" "00:00:00" "00:00:00"
43 "06:32:00" "06:32:00" "00:00:00" "00:00:00"
44 "06:35:00" "06:35:00" "00:00:00" "00:00:00"
45 "06:37:00" "06:37:00" "00:00:00" "00:00:00"
46 "06:40:00" "06:40:00" "00:00:00" "00:00:00"
47 "06:45:00" "06:45:00" "00:00:00" "00:00:00"
48 "06:47:00" "06:47:00" "00:00:00" "00:00:00"
49 "06:49:00" "06:49:00" "00:00:00" "00:00:00"
50 "06:52:00" "06:52:00" "00:00:00" "00:00:00"
51 "06:54:00" "06:54:00" "00:00:00" "00:00:00"
forbidden_drop_off_type ERROR 2259

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 2259 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 2262

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 2262 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 2432

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 2432 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 5

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.

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`.
"6353" 61231 45683.4 954 61230 45683.4 953
"6353" 61241 45809.9 964 61240 45809.9 963
"6372" 62782 14396.1 344 62781 14396.1 343
"6291" 33526 14397.7 350 33525 14397.7 349
"6216" 14970 14397.7 350 14969 14397.7 349
expired_calendar WARNING 1

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.

csvRowNumber (?) The row of the faulty record. serviceId (?) The service id of the faulty record.
11 "2066"
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 2432

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 2432 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 "53084" 1
3 "53084" 2
4 "53084" 3
5 "53084" 4
6 "53084" 5
7 "53084" 6
8 "53085" 1
9 "53085" 2
10 "53085" 3
11 "53085" 4
12 "53085" 5
13 "53085" 6
14 "53337" 1
15 "53337" 2
16 "53337" 3
17 "53337" 4
18 "53337" 5
19 "53337" 6
20 "53338" 1
21 "53338" 2
22 "53338" 3
23 "53338" 4
24 "53338" 5
25 "53338" 6
26 "53339" 1
27 "53339" 2
28 "53339" 3
29 "53339" 4
30 "53339" 5
31 "53339" 6
32 "53340" 1
33 "53340" 2
34 "53340" 3
35 "53340" 4
36 "53340" 5
37 "53340" 6
38 "53352" 1
39 "53352" 2
40 "53352" 3
41 "53352" 4
42 "53352" 5
43 "53352" 6
44 "53352" 7
45 "53352" 8
46 "53352" 9
47 "53352" 10
48 "53352" 11
49 "53352" 12
50 "53352" 13
51 "53352" 14
mixed_case_recommended_field WARNING 2

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" "140 km" 424
"stops.txt" "stop_name" "140 km" 425
stop_too_far_from_shape WARNING 3

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.
49 "6511" "54507" 2372 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
123 "6509" "54501" 2318 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
85 "6513" "54509" 2396 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
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