GTFS Schedule Validation Report

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 1731 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	"05:55:00"	"05:55:00"	"00:00:00"	"00:00:00"
3	"06:06:00"	"06:06:00"	"00:00:00"	"00:00:00"
4	"06:09:00"	"06:09:00"	"00:00:00"	"00:00:00"
5	"06:10:00"	"06:10:00"	"00:00:00"	"00:00:00"
6	"19:25:00"	"19:25:00"	"00:00:00"	"00:00:00"
7	"19:36:00"	"19:36:00"	"00:00:00"	"00:00:00"
8	"19:39:00"	"19:39:00"	"00:00:00"	"00:00:00"
9	"19:40:00"	"19:40:00"	"00:00:00"	"00:00:00"
10	"17:24:00"	"17:24:00"	"00:00:00"	"00:00:00"
11	"17:35:00"	"17:35:00"	"00:00:00"	"00:00:00"
12	"17:38:00"	"17:38:00"	"00:00:00"	"00:00:00"
13	"17:39:00"	"17:39:00"	"00:00:00"	"00:00:00"
14	"16:18:00"	"16:18:00"	"00:00:00"	"00:00:00"
15	"16:29:00"	"16:29:00"	"00:00:00"	"00:00:00"
16	"16:32:00"	"16:32:00"	"00:00:00"	"00:00:00"
17	"16:33:00"	"16:33:00"	"00:00:00"	"00:00:00"
18	"14:35:00"	"14:35:00"	"00:00:00"	"00:00:00"
19	"14:46:00"	"14:46:00"	"00:00:00"	"00:00:00"
20	"14:49:00"	"14:49:00"	"00:00:00"	"00:00:00"
21	"14:50:00"	"14:50:00"	"00:00:00"	"00:00:00"
22	"12:42:00"	"12:42:00"	"00:00:00"	"00:00:00"
23	"12:53:00"	"12:53:00"	"00:00:00"	"00:00:00"
24	"12:56:00"	"12:56:00"	"00:00:00"	"00:00:00"
25	"12:57:00"	"12:57:00"	"00:00:00"	"00:00:00"
26	"11:30:00"	"11:30:00"	"00:00:00"	"00:00:00"
27	"11:41:00"	"11:41:00"	"00:00:00"	"00:00:00"
28	"11:44:00"	"11:44:00"	"00:00:00"	"00:00:00"
29	"11:45:00"	"11:45:00"	"00:00:00"	"00:00:00"
30	"10:27:00"	"10:27:00"	"00:00:00"	"00:00:00"
31	"10:38:00"	"10:38:00"	"00:00:00"	"00:00:00"
32	"10:41:00"	"10:41:00"	"00:00:00"	"00:00:00"
33	"10:42:00"	"10:42:00"	"00:00:00"	"00:00:00"
34	"07:55:00"	"07:55:00"	"00:00:00"	"00:00:00"
35	"08:06:00"	"08:06:00"	"00:00:00"	"00:00:00"
36	"08:09:00"	"08:09:00"	"00:00:00"	"00:00:00"
37	"08:10:00"	"08:10:00"	"00:00:00"	"00:00:00"
38	"07:05:00"	"07:05:00"	"00:00:00"	"00:00:00"
39	"07:16:00"	"07:16:00"	"00:00:00"	"00:00:00"
40	"07:19:00"	"07:19:00"	"00:00:00"	"00:00:00"
41	"07:20:00"	"07:20:00"	"00:00:00"	"00:00:00"
42	"06:10:00"	"06:10:00"	"00:00:00"	"00:00:00"
43	"06:11:00"	"06:11:00"	"00:00:00"	"00:00:00"
44	"06:12:00"	"06:12:00"	"00:00:00"	"00:00:00"
45	"06:16:00"	"06:16:00"	"00:00:00"	"00:00:00"
46	"17:43:00"	"17:43:00"	"00:00:00"	"00:00:00"
47	"17:44:00"	"17:44:00"	"00:00:00"	"00:00:00"
48	"17:45:00"	"17:45:00"	"00:00:00"	"00:00:00"
49	"17:49:00"	"17:49:00"	"00:00:00"	"00:00:00"
50	"16:37:00"	"16:37:00"	"00:00:00"	"00:00:00"
51	"16:38:00"	"16:38:00"	"00:00:00"	"00:00:00"

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 1728 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

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 1728 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

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 1731 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_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.

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.
"6592"	24088	37595.4	841	24087	37595.4	840	0.12791084993239907
"3515"	526	11159.7	339	525	11159.7	338	0.12791084993239907
"3712"	13896	11159.7	339	13895	11159.7	338	0.12791084993239907
"7377"	30131	27067.3	649	30130	27067.3	648	0.12791084993239907
"3647"	8452	29882.7	878	8451	29882.7	877	0.12791084993239907
"3659"	11459	49657.5	1177	11458	49657.5	1176	0.12791084993239907
"3550"	3316	11159.7	339	3315	11159.7	338	0.12791084993239907

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 294 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`.
"40384"	42945	1239.8	50	42944	1239.8	49
"40384"	42966	1780.6	71	42965	1780.6	70
"40384"	43011	3646.7	116	43010	3646.7	115
"40384"	43101	7130.0	206	43100	7130.0	205
"40384"	43110	7394.5	215	43109	7394.5	214
"40384"	43135	8622.9	240	43134	8622.9	239
"40384"	43154	9062.8	259	43153	9062.8	258
"40384"	43230	10693.5	335	43229	10693.5	334
"40384"	43359	12656.2	464	43358	12656.2	463
"40384"	43488	14618.9	593	43487	14618.9	592
"40384"	43564	16249.7	669	43563	16249.7	668
"40384"	43583	16689.5	688	43582	16689.5	687
"40384"	43608	17917.9	713	43607	17917.9	712
"40384"	43617	18182.4	722	43616	18182.4	721
"40384"	43707	21665.7	812	43706	21665.7	811
"40384"	43752	23531.8	857	43751	23531.8	856
"40384"	43774	24093.5	879	43773	24093.5	878
"40383"	42548	1819.8	44	42547	1819.8	43
"40383"	42616	6211.9	112	42615	6211.9	111
"40383"	42657	8611.7	153	42656	8611.7	152
"40383"	42705	11579.7	201	42704	11579.7	200
"40383"	42768	15745.9	264	42767	15745.9	263
"40382"	41630	5182.7	129	41629	5182.7	128
"40382"	41693	9348.9	192	41692	9348.9	191
"40382"	41741	12316.8	240	41740	12316.8	239
"40382"	41857	14057.6	356	41856	14057.6	355
"40382"	41967	15715.8	466	41966	15715.8	465
"40382"	42050	18319.5	549	42049	18319.5	548
"40382"	42393	26553.4	892	42392	26553.4	891
"40382"	42463	31074.5	962	42462	31074.5	961
"40381"	41095	3742.9	60	41094	3742.9	59
"40381"	41171	6099.5	136	41170	6099.5	135
"40381"	41254	9769.3	219	41253	9769.3	218
"40381"	41433	15886.3	398	41432	15886.3	397
"40381"	41450	16190.2	415	41449	16190.2	414
"40386"	43870	1218.9	49	43869	1218.9	48
"40386"	43892	1780.6	71	43891	1780.6	70
"40386"	43937	3646.7	116	43936	3646.7	115
"40386"	43982	5512.9	161	43981	5512.9	160
"40386"	44004	6074.6	183	44003	6074.6	182
"40389"	44180	5167.7	129	44179	5167.7	128
"40389"	44243	9333.9	192	44242	9333.9	191
"40389"	44291	12301.8	240	44290	12301.8	239
"40389"	44332	14696.6	281	44331	14696.6	280
"40389"	44338	15356.4	287	44337	15356.4	286
"40389"	44496	19983.2	445	44495	19983.2	444
"40389"	44606	21641.4	555	44605	21641.4	554
"40389"	44689	24245.1	638	44688	24245.1	637
"40389"	44893	29041.3	842	44892	29041.3	841
"40389"	45102	32788.7	1051	45101	32788.7	1050

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

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 1731 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	"57441"	1
3	"57441"	2
4	"57441"	3
5	"57441"	4
6	"57446"	1
7	"57446"	2
8	"57446"	3
9	"57446"	4
10	"57447"	1
11	"57447"	2
12	"57447"	3
13	"57447"	4
14	"57448"	1
15	"57448"	2
16	"57448"	3
17	"57448"	4
18	"57449"	1
19	"57449"	2
20	"57449"	3
21	"57449"	4
22	"57450"	1
23	"57450"	2
24	"57450"	3
25	"57450"	4
26	"57451"	1
27	"57451"	2
28	"57451"	3
29	"57451"	4
30	"57452"	1
31	"57452"	2
32	"57452"	3
33	"57452"	4
34	"57453"	1
35	"57453"	2
36	"57453"	3
37	"57453"	4
38	"57454"	1
39	"57454"	2
40	"57454"	3
41	"57454"	4
42	"57457"	1
43	"57457"	2
44	"57457"	3
45	"57457"	4
46	"57461"	1
47	"57461"	2
48	"57461"	3
49	"57461"	4
50	"57462"	1
51	"57462"	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.
"trips.txt"	"trip_short_name"	"1atest"	82

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.
70	"6591"	"57635"	336	"13926"	"Jonaičiai"	[55.346103,21.568929]	335	"8212"	"Laučiai"	[55.34479686210668,21.558340567616426]
55	"3554"	"57639"	392	"8212"	"Laučiai"	[55.34479686210668,21.558340567616426]	391	"12152"	"Jonaičiai"	[55.34641499999999,21.570023]
39	"3714"	"57735"	851	"13926"	"Jonaičiai"	[55.346103,21.568929]	850	"8212"	"Laučiai"	[55.34479686210668,21.558340567616426]
47	"5353"	"57623"	198	"13926"	"Jonaičiai"	[55.346103,21.568929]	197	"8212"	"Laučiai"	[55.34479686210668,21.558340567616426]
91	"40377"	"8016002"	1306	"72301"	"Kirlikai"	[55.32834500402225,21.565359093761266]	1305	"97223"	"Tarvydai I"	[55.328604,21.56423]
41	"40378"	"8016003"	1315	"71683"	"Tarvydai II"	[55.31814711876975,21.598011981975805]	1314	"97223"	"Tarvydai I"	[55.328604,21.56423]
20	"3645"	"57657"	676	"8212"	"Laučiai"	[55.34479686210668,21.558340567616426]	675	"12152"	"Jonaičiai"	[55.34641499999999,21.570023]
93	"3667"	"57730"	793	"8212"	"Laučiai"	[55.34479686210668,21.558340567616426]	792	"13926"	"Jonaičiai"	[55.346103,21.568929]

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