GTFS Schedule Validation Report

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`.
"47e658e0fb6c11eb85818f27d2c840c1"	"150151"	47	182203.5	13	46	182203.5	12
"8a521fe2126411ec9d5a61b844c2c006"	"152801"	100	302630.7	13	99	302630.7	12
"8a521fe2126411ec9d5a61b844c2c006"	"152856"	106	383763.4	19	105	383763.4	18
"38de91ba126511ec9d5acf1c6d0b3f9e"	"152801"	122	302630.7	12	121	302630.7	11
"38de91ba126511ec9d5acf1c6d0b3f9e"	"152856"	128	383763.4	18	127	383763.4	17
"f426fa18126311ec9d5a9dafaa6cce06"	"150151"	190	189137.8	15	189	189137.8	14
"f426fa18126311ec9d5a9dafaa6cce06"	"153417"	196	270254.4	21	195	270254.4	20
"939c7a31fb6b11eb85815936619b53aa"	"152856"	222	107121.8	9	221	107121.8	8
"1b6dd0dcfb7111eb8581551638e72ac2"	"150151"	263	182203.5	13	262	182203.5	12
"1803bbaf126411ec9d5ad7322ed8f33f"	"152801"	302	422873.0	18	301	422873.0	17
"1803bbaf126411ec9d5ad7322ed8f33f"	"152856"	308	504005.7	24	307	504005.7	23
"ad38a476126511ec9d5aedf56e77a539"	"150151"	326	23952.6	6	325	23952.6	5
"ad38a476126511ec9d5aedf56e77a539"	"153417"	332	105069.2	12	331	105069.2	11
"3c1c4dc4126411ec9d5a41dc31d9f783"	"152801"	373	302630.7	12	372	302630.7	11
"3c1c4dc4126411ec9d5a41dc31d9f783"	"152856"	379	383763.4	18	378	383763.4	17

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.
"81178eb1a29a11eb9f7e17d6abf41031"	"81178eb1a29a11eb9f7e17d6abf41031_0"	159087.1	159042.59	28.108277793572533
"c06cccf3e3df11eb869381ff45c8b179"	"c06cccf3e3df11eb869381ff45c8b179_0"	153233.7	153190.77	28.108277793572533
"8c924ac0f91c11eb86fac32d120ba1a3"	"8c924ac0f91c11eb86fac32d120ba1a3_0"	153233.7	153190.77	28.108277793572533
"11c83ac6f91b11eb86fa37444cd21fcf"	"11c83ac6f91b11eb86fa37444cd21fcf_0"	159087.1	159042.59	28.108277793572533
"c923313dfaa011eb858141697f34782e"	"c923313dfaa011eb858141697f34782e_0"	153233.7	153190.77	28.108277793572533
"fd9d88c3fab011eb8581372d1dcd3534"	"fd9d88c3fab011eb8581372d1dcd3534_0"	153233.7	153190.77	28.108277793572533
"47e658e0fb6c11eb85818f27d2c840c1"	"47e658e0fb6c11eb85818f27d2c840c1_0"	289301.4	251915.01	42.106895510509474
"b75f14b1fb7111eb85811d6d38dffcb2"	"b75f14b1fb7111eb85811d6d38dffcb2_0"	159087.1	159042.59	28.108277793572533
"890aaffffb7011eb858169fe76ced7d6"	"890aaffffb7011eb858169fe76ced7d6_0"	159087.1	159042.59	28.108277793572533
"496e1ea8fb6e11eb85813b1fbf0d29b4"	"496e1ea8fb6e11eb85813b1fbf0d29b4_0"	153233.7	153190.77	28.108277793572533
"653c62e3fb6f11eb85810bd64dd4d0e8"	"653c62e3fb6f11eb85810bd64dd4d0e8_0"	159087.1	159042.59	28.108277793572533
"1b6dd0dcfb7111eb8581551638e72ac2"	"1b6dd0dcfb7111eb8581551638e72ac2_0"	254612.4	219131.97	33.41384260951563
"88190690074211ec858109750509e186"	"88190690074211ec858109750509e186_0"	153233.7	153190.77	28.108277793572533
"9289dda0074111ec8581f74ff8082127"	"9289dda0074111ec8581f74ff8082127_0"	153233.7	153190.77	28.108277793572533
"1803bbaf126411ec9d5ad7322ed8f33f"	"1803bbaf126411ec9d5ad7322ed8f33f_0"	684071.7	568586.85	28.108277793572533
"ad38a476126511ec9d5aedf56e77a539"	"ad38a476126511ec9d5aedf56e77a539_0"	407668.1	292178.81	37.287301630884286

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 3163 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`.
"adcb561b074311ec85815d699838855d_0"	73491	609.21	19	73490	609.21	18
"adcb561b074311ec85815d699838855d_0"	73493	688.64	21	73492	688.64	20
"adcb561b074311ec85815d699838855d_0"	73508	836.21	36	73507	836.21	35
"adcb561b074311ec85815d699838855d_0"	73638	6344.53	166	73637	6344.53	165
"adcb561b074311ec85815d699838855d_0"	73645	6624.05	173	73644	6624.05	172
"adcb561b074311ec85815d699838855d_0"	73656	6973.95	184	73655	6973.95	183
"adcb561b074311ec85815d699838855d_0"	73741	12695.34	269	73740	12695.34	268
"adcb561b074311ec85815d699838855d_0"	73747	12862.37	275	73746	12862.37	274
"adcb561b074311ec85815d699838855d_0"	73764	13353.8	292	73763	13353.8	291
"adcb561b074311ec85815d699838855d_0"	74261	35848.61	789	74260	35848.61	788
"adcb561b074311ec85815d699838855d_0"	74267	35930.74	795	74266	35930.74	794
"adcb561b074311ec85815d699838855d_0"	74275	36088.88	803	74274	36088.88	802
"adcb561b074311ec85815d699838855d_0"	74279	36124.31	807	74278	36124.31	806
"adcb561b074311ec85815d699838855d_0"	74300	36637.46	828	74299	36637.46	827
"adcb561b074311ec85815d699838855d_0"	74305	36697.88	833	74304	36697.88	832
"adcb561b074311ec85815d699838855d_0"	74308	36822.94	836	74307	36822.94	835
"adcb561b074311ec85815d699838855d_0"	74314	36952.07	842	74313	36952.07	841
"adcb561b074311ec85815d699838855d_0"	74337	37862.17	865	74336	37862.17	864
"adcb561b074311ec85815d699838855d_0"	74346	38054.33	874	74345	38054.33	873
"adcb561b074311ec85815d699838855d_0"	74353	38160.13	881	74352	38160.13	880
"adcb561b074311ec85815d699838855d_0"	74354	38160.13	882	74353	38160.13	881
"adcb561b074311ec85815d699838855d_0"	74355	38160.13	883	74354	38160.13	882
"adcb561b074311ec85815d699838855d_0"	74363	38244.16	891	74362	38244.16	890
"adcb561b074311ec85815d699838855d_0"	74399	39431.6	927	74398	39431.6	926
"adcb561b074311ec85815d699838855d_0"	74416	39688.12	944	74415	39688.12	943
"adcb561b074311ec85815d699838855d_0"	74419	39813.6	947	74418	39813.6	946
"adcb561b074311ec85815d699838855d_0"	74440	40109.3	968	74439	40109.3	967
"adcb561b074311ec85815d699838855d_0"	74513	42934.98	1041	74512	42934.98	1040
"adcb561b074311ec85815d699838855d_0"	74534	44039.76	1062	74533	44039.76	1061
"adcb561b074311ec85815d699838855d_0"	74774	56609.0	1302	74773	56609.0	1301
"adcb561b074311ec85815d699838855d_0"	74782	56792.97	1310	74781	56792.97	1309
"adcb561b074311ec85815d699838855d_0"	74829	58263.07	1357	74828	58263.07	1356
"adcb561b074311ec85815d699838855d_0"	75355	79833.81	1883	75354	79833.81	1882
"adcb561b074311ec85815d699838855d_0"	75874	131536.19	2402	75873	131536.19	2401
"adcb561b074311ec85815d699838855d_0"	75883	131751.14	2411	75882	131751.14	2410
"adcb561b074311ec85815d699838855d_0"	75885	131813.31	2413	75884	131813.31	2412
"adcb561b074311ec85815d699838855d_0"	75886	131813.31	2414	75885	131813.31	2413
"adcb561b074311ec85815d699838855d_0"	75887	131813.31	2415	75886	131813.31	2414
"adcb561b074311ec85815d699838855d_0"	75889	131875.49	2417	75888	131875.49	2416
"adcb561b074311ec85815d699838855d_0"	75892	131929.74	2420	75891	131929.74	2419
"adcb561b074311ec85815d699838855d_0"	75894	131981.25	2422	75893	131981.25	2421
"adcb561b074311ec85815d699838855d_0"	75899	132096.44	2427	75898	132096.44	2426
"adcb561b074311ec85815d699838855d_0"	75954	133973.3	2482	75953	133973.3	2481
"adcb561b074311ec85815d699838855d_0"	75958	134011.92	2486	75957	134011.92	2485
"adcb561b074311ec85815d699838855d_0"	75959	134011.92	2487	75958	134011.92	2486
"adcb561b074311ec85815d699838855d_0"	75960	134011.92	2488	75959	134011.92	2487
"adcb561b074311ec85815d699838855d_0"	75964	134050.55	2492	75963	134050.55	2491
"adcb561b074311ec85815d699838855d_0"	75980	134283.65	2508	75979	134283.65	2507
"adcb561b074311ec85815d699838855d_0"	75989	134482.81	2517	75988	134482.81	2516
"adcb561b074311ec85815d699838855d_0"	76026	136027.0	2554	76025	136027.0	2553

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.
2	"PHK735"
3	"PHK722"
4	"PHK729"
5	"PHK755"
6	"PHK710"
7	"PHK740"
8	"PHK713"
9	"PHK774"
10	"PHK706"
11	"PHK718"
12	"PHK751"
13	"PHK9703"
14	"PHK9733"
15	"PHK752"
16	"PHK781"
17	"PHK769"
18	"PHK773"
19	"PHK777"
20	"PHK708"
21	"PHK724"
22	"PHK702"
23	"PHK9715"
24	"PHK723"
25	"PHK734"
26	"PHK770"
27	"PHK704"
28	"PHK707"
29	"PHK709"
30	"PHK711"
31	"PHK775"
32	"PHK9706"

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.
27	"f426fa18126311ec9d5a9dafaa6cce06"	"PHK704"	168.50599063335085	16.850599063335086	191	16	"153175"	"LAKE HILL, NY"	"15:24:00"	192	17	"153615"	"WILLOW, NY"	"15:29:00"
27	"f426fa18126311ec9d5a9dafaa6cce06"	"PHK704"	199.70811203113516	19.970811203113517	192	17	"153615"	"WILLOW, NY"	"15:29:00"	193	18	"153263"	"MT TREMPER, NY"	"15:34:00"
27	"f426fa18126311ec9d5a9dafaa6cce06"	"PHK704"	757.2604696846724	63.10503914038937	199	24	"153131"	"HIGHMOUNT, NY"	"15:59:00"	200	25	"153021"	"FLEISCHMANNS, NY"	"16:03:00"
27	"f426fa18126311ec9d5a9dafaa6cce06"	"PHK704"	307.57086163398674	66.64035335403047	200	25	"153021"	"FLEISCHMANNS, NY"	"16:03:00"	201	26	"150117"	"ARKVILLE, NY"	"16:15:00"
27	"f426fa18126311ec9d5a9dafaa6cce06"	"PHK704"	219.5977707229317	10.979888536146586	201	26	"150117"	"ARKVILLE, NY"	"16:15:00"	202	27	"153219"	"MARGARETVILLE (E), NY"	"16:17:00"
15	"47e658e0fb6c11eb85818f27d2c840c1"	"PHK752"	168.50599063335085	16.850599063335086	48	14	"153175"	"LAKE HILL, NY"	"17:40:00"	49	15	"153615"	"WILLOW, NY"	"17:45:00"
15	"47e658e0fb6c11eb85818f27d2c840c1"	"PHK752"	199.70811203113516	19.970811203113517	49	15	"153615"	"WILLOW, NY"	"17:45:00"	50	16	"153263"	"MT TREMPER, NY"	"17:50:00"
20	"1b6dd0dcfb7111eb8581551638e72ac2"	"PHK708"	168.50599063335085	16.850599063335086	264	14	"153175"	"LAKE HILL, NY"	"19:44:00"	265	15	"153615"	"WILLOW, NY"	"19:49:00"
20	"1b6dd0dcfb7111eb8581551638e72ac2"	"PHK708"	199.70811203113516	19.970811203113517	265	15	"153615"	"WILLOW, NY"	"19:49:00"	266	16	"153263"	"MT TREMPER, NY"	"19:54:00"
12	"939c7a31fb6b11eb85815936619b53aa"	"PHK751"	199.70811203113516	19.970811203113517	218	5	"153263"	"MT TREMPER, NY"	"19:28:00"	219	6	"153615"	"WILLOW, NY"	"19:33:00"
12	"939c7a31fb6b11eb85815936619b53aa"	"PHK751"	168.50599063335085	16.850599063335086	219	6	"153615"	"WILLOW, NY"	"19:33:00"	220	7	"153175"	"LAKE HILL, NY"	"19:38:00"
32	"ad38a476126511ec9d5aedf56e77a539"	"PHK9706"	168.50599063335085	16.850599063335086	327	7	"153175"	"LAKE HILL, NY"	"18:24:00"	328	8	"153615"	"WILLOW, NY"	"18:29:00"
32	"ad38a476126511ec9d5aedf56e77a539"	"PHK9706"	199.70811203113516	19.970811203113517	328	8	"153615"	"WILLOW, NY"	"18:29:00"	329	9	"153263"	"MT TREMPER, NY"	"18:34:00"
32	"ad38a476126511ec9d5aedf56e77a539"	"PHK9706"	946.5755871058406	63.10503914038937	335	15	"153131"	"HIGHMOUNT, NY"	"19:00:00"	336	16	"153021"	"FLEISCHMANNS, NY"	"19:03:00"
32	"ad38a476126511ec9d5aedf56e77a539"	"PHK9706"	307.57086163398674	66.64035335403047	336	16	"153021"	"FLEISCHMANNS, NY"	"19:03:00"	337	17	"150117"	"ARKVILLE, NY"	"19:15:00"
32	"ad38a476126511ec9d5aedf56e77a539"	"PHK9706"	219.5977707229317	10.979888536146586	337	17	"150117"	"ARKVILLE, NY"	"19:15:00"	338	18	"153219"	"MARGARETVILLE (E), NY"	"19:17:00"
28	"1803bbaf126411ec9d5ad7322ed8f33f"	"PHK707"	307.57086163398674	66.64035335403047	296	12	"150117"	"ARKVILLE, NY"	"10:32:00"	297	13	"153021"	"FLEISCHMANNS, NY"	"10:44:00"
28	"1803bbaf126411ec9d5ad7322ed8f33f"	"PHK707"	946.5755871058406	63.10503914038937	297	13	"153021"	"FLEISCHMANNS, NY"	"10:44:00"	298	14	"153131"	"HIGHMOUNT, NY"	"10:47:00"
28	"1803bbaf126411ec9d5ad7322ed8f33f"	"PHK707"	199.70811203113516	19.970811203113517	304	20	"153263"	"MT TREMPER, NY"	"11:16:00"	305	21	"153615"	"WILLOW, NY"	"11:21:00"
28	"1803bbaf126411ec9d5ad7322ed8f33f"	"PHK707"	168.50599063335085	16.850599063335086	305	21	"153615"	"WILLOW, NY"	"11:21:00"	306	22	"153175"	"LAKE HILL, NY"	"11:26:00"
30	"8a521fe2126411ec9d5a61b844c2c006"	"PHK711"	219.5977707229317	10.979888536146586	93	6	"153219"	"MARGARETVILLE (E), NY"	"15:55:00"	94	7	"150117"	"ARKVILLE, NY"	"15:57:00"
30	"8a521fe2126411ec9d5a61b844c2c006"	"PHK711"	307.57086163398674	66.64035335403047	94	7	"150117"	"ARKVILLE, NY"	"15:57:00"	95	8	"153021"	"FLEISCHMANNS, NY"	"16:09:00"
30	"8a521fe2126411ec9d5a61b844c2c006"	"PHK711"	946.5755871058406	63.10503914038937	95	8	"153021"	"FLEISCHMANNS, NY"	"16:09:00"	96	9	"153131"	"HIGHMOUNT, NY"	"16:12:00"
30	"8a521fe2126411ec9d5a61b844c2c006"	"PHK711"	199.70811203113516	19.970811203113517	102	15	"153263"	"MT TREMPER, NY"	"16:38:00"	103	16	"153615"	"WILLOW, NY"	"16:43:00"
30	"8a521fe2126411ec9d5a61b844c2c006"	"PHK711"	168.50599063335085	16.850599063335086	103	16	"153615"	"WILLOW, NY"	"16:43:00"	104	17	"153175"	"LAKE HILL, NY"	"16:48:00"
29	"3c1c4dc4126411ec9d5a41dc31d9f783"	"PHK709"	307.57086163398674	66.64035335403047	367	6	"150117"	"ARKVILLE, NY"	"13:22:00"	368	7	"153021"	"FLEISCHMANNS, NY"	"13:34:00"
29	"3c1c4dc4126411ec9d5a41dc31d9f783"	"PHK709"	946.5755871058406	63.10503914038937	368	7	"153021"	"FLEISCHMANNS, NY"	"13:34:00"	369	8	"153131"	"HIGHMOUNT, NY"	"13:37:00"
29	"3c1c4dc4126411ec9d5a41dc31d9f783"	"PHK709"	199.70811203113516	19.970811203113517	375	14	"153263"	"MT TREMPER, NY"	"14:03:00"	376	15	"153615"	"WILLOW, NY"	"14:08:00"
29	"3c1c4dc4126411ec9d5a41dc31d9f783"	"PHK709"	168.50599063335085	16.850599063335086	376	15	"153615"	"WILLOW, NY"	"14:08:00"	377	16	"153175"	"LAKE HILL, NY"	"14:13:00"
31	"38de91ba126511ec9d5acf1c6d0b3f9e"	"PHK775"	307.57086163398674	66.64035335403047	116	6	"150117"	"ARKVILLE, NY"	"09:12:00"	117	7	"153021"	"FLEISCHMANNS, NY"	"09:24:00"
31	"38de91ba126511ec9d5acf1c6d0b3f9e"	"PHK775"	946.5755871058406	63.10503914038937	117	7	"153021"	"FLEISCHMANNS, NY"	"09:24:00"	118	8	"153131"	"HIGHMOUNT, NY"	"09:27:00"
31	"38de91ba126511ec9d5acf1c6d0b3f9e"	"PHK775"	199.70811203113516	19.970811203113517	124	14	"153263"	"MT TREMPER, NY"	"09:53:00"	125	15	"153615"	"WILLOW, NY"	"09:58:00"
31	"38de91ba126511ec9d5acf1c6d0b3f9e"	"PHK775"	168.50599063335085	16.850599063335086	125	15	"153615"	"WILLOW, NY"	"09:58:00"	126	16	"153175"	"LAKE HILL, NY"	"10:03:00"

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.
27	"f426fa18126311ec9d5a9dafaa6cce06"	"PHK704"	168.50599063335085	16.850599063335086	191	16	"153175"	"LAKE HILL, NY"	"15:24:00"	192	17	"153615"	"WILLOW, NY"	"15:29:00"
15	"47e658e0fb6c11eb85818f27d2c840c1"	"PHK752"	168.50599063335085	16.850599063335086	48	14	"153175"	"LAKE HILL, NY"	"17:40:00"	49	15	"153615"	"WILLOW, NY"	"17:45:00"
20	"1b6dd0dcfb7111eb8581551638e72ac2"	"PHK708"	168.50599063335085	16.850599063335086	264	14	"153175"	"LAKE HILL, NY"	"19:44:00"	265	15	"153615"	"WILLOW, NY"	"19:49:00"
12	"939c7a31fb6b11eb85815936619b53aa"	"PHK751"	199.70811203113516	19.970811203113517	218	5	"153263"	"MT TREMPER, NY"	"19:28:00"	219	6	"153615"	"WILLOW, NY"	"19:33:00"
32	"ad38a476126511ec9d5aedf56e77a539"	"PHK9706"	168.50599063335085	16.850599063335086	327	7	"153175"	"LAKE HILL, NY"	"18:24:00"	328	8	"153615"	"WILLOW, NY"	"18:29:00"
28	"1803bbaf126411ec9d5ad7322ed8f33f"	"PHK707"	307.57086163398674	66.64035335403047	296	12	"150117"	"ARKVILLE, NY"	"10:32:00"	297	13	"153021"	"FLEISCHMANNS, NY"	"10:44:00"
30	"8a521fe2126411ec9d5a61b844c2c006"	"PHK711"	219.5977707229317	10.979888536146586	93	6	"153219"	"MARGARETVILLE (E), NY"	"15:55:00"	94	7	"150117"	"ARKVILLE, NY"	"15:57:00"
29	"3c1c4dc4126411ec9d5a41dc31d9f783"	"PHK709"	307.57086163398674	66.64035335403047	367	6	"150117"	"ARKVILLE, NY"	"13:22:00"	368	7	"153021"	"FLEISCHMANNS, NY"	"13:34:00"
31	"38de91ba126511ec9d5acf1c6d0b3f9e"	"PHK775"	307.57086163398674	66.64035335403047	116	6	"150117"	"ARKVILLE, NY"	"09:12:00"	117	7	"153021"	"FLEISCHMANNS, NY"	"09:24:00"

missing_recommended_field

A recommended field is missing.

The given field has no value in some input row, even though values are recommended.

You can see more about this notice here.

filename (?) The name of the faulty file.	csvRowNumber (?) The row of the faulty record.	fieldName (?) The name of the missing field.
"agency.txt"	2	"agency_id"
"routes.txt"	2	"agency_id"
"routes.txt"	3	"agency_id"
"routes.txt"	4	"agency_id"
"routes.txt"	5	"agency_id"
"routes.txt"	6	"agency_id"
"routes.txt"	7	"agency_id"
"routes.txt"	8	"agency_id"
"routes.txt"	9	"agency_id"
"routes.txt"	10	"agency_id"
"routes.txt"	11	"agency_id"
"routes.txt"	12	"agency_id"
"routes.txt"	13	"agency_id"
"routes.txt"	14	"agency_id"
"routes.txt"	15	"agency_id"
"routes.txt"	16	"agency_id"
"routes.txt"	17	"agency_id"
"routes.txt"	18	"agency_id"
"routes.txt"	19	"agency_id"
"routes.txt"	20	"agency_id"
"routes.txt"	21	"agency_id"
"routes.txt"	22	"agency_id"
"routes.txt"	23	"agency_id"
"routes.txt"	24	"agency_id"
"routes.txt"	25	"agency_id"
"routes.txt"	26	"agency_id"
"routes.txt"	27	"agency_id"
"routes.txt"	28	"agency_id"
"routes.txt"	29	"agency_id"
"routes.txt"	30	"agency_id"
"routes.txt"	31	"agency_id"
"routes.txt"	32	"agency_id"

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"

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 103 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.
"routes.txt"	"route_long_name"	"KINGSTON -> NEW YORK"	2
"routes.txt"	"route_long_name"	"NEW YORK -> KINGSTON"	3
"routes.txt"	"route_long_name"	"KINGSTON -> NEW YORK"	4
"routes.txt"	"route_long_name"	"KINGSTON -> NEW YORK"	5
"routes.txt"	"route_long_name"	"NEW YORK -> KINGSTON"	6
"routes.txt"	"route_long_name"	"NEW YORK -> KINGSTON"	7
"routes.txt"	"route_long_name"	"KINGSTON -> NEW YORK"	8
"routes.txt"	"route_long_name"	"NEW YORK -> KINGSTON"	9
"routes.txt"	"route_long_name"	"NEW YORK -> KINGSTON"	10
"routes.txt"	"route_long_name"	"NEW YORK -> KINGSTON"	11
"routes.txt"	"route_long_name"	"HAINES FALLS -> KINGSTON"	12
"routes.txt"	"route_long_name"	"KINGSTON -> NEW YORK"	13
"routes.txt"	"route_long_name"	"KINGSTON -> NEW YORK"	14
"routes.txt"	"route_long_name"	"NEW YORK -> HAINES FALLS"	15
"routes.txt"	"route_long_name"	"KINGSTON -> NEW YORK"	16
"routes.txt"	"route_long_name"	"KINGSTON -> NEW YORK"	17
"routes.txt"	"route_long_name"	"KINGSTON -> NEW YORK"	18
"routes.txt"	"route_long_name"	"KINGSTON -> NEW YORK"	19
"routes.txt"	"route_long_name"	"NEW YORK -> PHOENICIA"	20
"routes.txt"	"route_long_name"	"NEW YORK -> KINGSTON"	21
"routes.txt"	"route_long_name"	"NEW YORK -> KINGSTON"	22
"routes.txt"	"route_long_name"	"KINGSTON -> NEW YORK"	23
"routes.txt"	"route_long_name"	"KINGSTON -> NEW YORK"	24
"routes.txt"	"route_long_name"	"NEW YORK -> KINGSTON"	25
"routes.txt"	"route_long_name"	"NEW YORK -> KINGSTON"	26
"routes.txt"	"route_long_name"	"NEW YORK -> UTICA (E)"	27
"routes.txt"	"route_long_name"	"UTICA (E) -> NEW YORK"	28
"routes.txt"	"route_long_name"	"ONEONTA -> KINGSTON"	29
"routes.txt"	"route_long_name"	"ONEONTA -> KINGSTON"	30
"routes.txt"	"route_long_name"	"ONEONTA -> KINGSTON"	31
"routes.txt"	"route_long_name"	"KINGSTON -> ONEONTA"	32
"stops.txt"	"stop_name"	"WOODSTOCK, NY"	2
"stops.txt"	"stop_name"	"NEW YORK, NY"	3
"stops.txt"	"stop_name"	"PHOENICIA, NY"	4
"stops.txt"	"stop_name"	"DELHI SUNY, NY"	5
"stops.txt"	"stop_name"	"COOPERSTOWN, NY"	6
"stops.txt"	"stop_name"	"NEW PALTZ, NY"	7
"stops.txt"	"stop_name"	"KINGSTON, NY"	8
"stops.txt"	"stop_name"	"SHANDAKEN, NY"	9
"stops.txt"	"stop_name"	"ROSENDALE, NY"	10
"stops.txt"	"stop_name"	"HUNTER, NY"	11
"stops.txt"	"stop_name"	"MOHAWK (E), NY"	12
"stops.txt"	"stop_name"	"NEW PALTZ SUNY, NY"	13
"stops.txt"	"stop_name"	"UTICA (E), NY"	14
"stops.txt"	"stop_name"	"MERIDALE, NY"	15
"stops.txt"	"stop_name"	"FLEISCHMANNS, NY"	16
"stops.txt"	"stop_name"	"RICHFIELD SPRINGS, NY"	17
"stops.txt"	"stop_name"	"ALLABEN, NY"	18
"stops.txt"	"stop_name"	"RIDGEWOOD (E), NJ"	19
"stops.txt"	"stop_name"	"TANNERSVILLE, NY"	20

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.

Only the first 50 of 59 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.
29	"3c1c4dc4126411ec9d5a41dc31d9f783_0"	"3c1c4dc4126411ec9d5a41dc31d9f783"	363	"156464"	"MERIDALE, NY"	[42.38070499999999,-74.968356]	796.0115048464662
29	"3c1c4dc4126411ec9d5a41dc31d9f783_0"	"3c1c4dc4126411ec9d5a41dc31d9f783"	365	"152812"	"ANDES, NY"	[42.12879180027018,-74.78634303772377]	174.1132499293426
29	"3c1c4dc4126411ec9d5a41dc31d9f783_0"	"3c1c4dc4126411ec9d5a41dc31d9f783"	371	"152878"	"BIG INDIAN, NY"	[42.09880799999999,-74.459318]	682.6817130252389
29	"3c1c4dc4126411ec9d5a41dc31d9f783_0"	"3c1c4dc4126411ec9d5a41dc31d9f783"	372	"153417"	"SHANDAKEN, NY"	[42.1299,-74.377109]	650.8270937777194
29	"3c1c4dc4126411ec9d5a41dc31d9f783_0"	"3c1c4dc4126411ec9d5a41dc31d9f783"	373	"152801"	"ALLABEN, NY"	[42.1299,-74.377109]	650.8270937777194
29	"3c1c4dc4126411ec9d5a41dc31d9f783_0"	"3c1c4dc4126411ec9d5a41dc31d9f783"	375	"153263"	"MT TREMPER, NY"	[42.037721,-74.260145]	499.8564881026297
29	"3c1c4dc4126411ec9d5a41dc31d9f783_0"	"3c1c4dc4126411ec9d5a41dc31d9f783"	376	"153615"	"WILLOW, NY"	[42.00764704961743,-74.02663620666792]	185.86222406076243
29	"3c1c4dc4126411ec9d5a41dc31d9f783_0"	"3c1c4dc4126411ec9d5a41dc31d9f783"	377	"153175"	"LAKE HILL, NY"	[42.070118,-74.209842]	220.5081815283079
27	"f426fa18126311ec9d5a9dafaa6cce06_0"	"f426fa18126311ec9d5a9dafaa6cce06"	191	"153175"	"LAKE HILL, NY"	[42.070118,-74.209842]	220.5081815283079
27	"f426fa18126311ec9d5a9dafaa6cce06_0"	"f426fa18126311ec9d5a9dafaa6cce06"	192	"153615"	"WILLOW, NY"	[42.00764704961743,-74.02663620666792]	185.86222406076243
27	"f426fa18126311ec9d5a9dafaa6cce06_0"	"f426fa18126311ec9d5a9dafaa6cce06"	193	"153263"	"MT TREMPER, NY"	[42.037721,-74.260145]	499.8564881026297
27	"f426fa18126311ec9d5a9dafaa6cce06_0"	"f426fa18126311ec9d5a9dafaa6cce06"	195	"152801"	"ALLABEN, NY"	[42.1299,-74.377109]	650.8270937777194
27	"f426fa18126311ec9d5a9dafaa6cce06_0"	"f426fa18126311ec9d5a9dafaa6cce06"	196	"153417"	"SHANDAKEN, NY"	[42.1299,-74.377109]	650.8270937777194
27	"f426fa18126311ec9d5a9dafaa6cce06_0"	"f426fa18126311ec9d5a9dafaa6cce06"	197	"152878"	"BIG INDIAN, NY"	[42.09880799999999,-74.459318]	682.6817130252389
27	"f426fa18126311ec9d5a9dafaa6cce06_0"	"f426fa18126311ec9d5a9dafaa6cce06"	203	"152812"	"ANDES, NY"	[42.12879180027018,-74.78634303772377]	174.1132499293426
27	"f426fa18126311ec9d5a9dafaa6cce06_0"	"f426fa18126311ec9d5a9dafaa6cce06"	206	"156464"	"MERIDALE, NY"	[42.38070499999999,-74.968356]	796.0115048464662
27	"f426fa18126311ec9d5a9dafaa6cce06_0"	"f426fa18126311ec9d5a9dafaa6cce06"	208	"153109"	"HARTWICK SEMINARY, NY"	[42.630671846175325,-74.94916196322042]	101.82273593779924
12	"939c7a31fb6b11eb85815936619b53aa_0"	"939c7a31fb6b11eb85815936619b53aa"	218	"153263"	"MT TREMPER, NY"	[42.037721,-74.260145]	499.8564881026297
12	"939c7a31fb6b11eb85815936619b53aa_0"	"939c7a31fb6b11eb85815936619b53aa"	219	"153615"	"WILLOW, NY"	[42.00764704961743,-74.02663620666792]	185.86222406076243
12	"939c7a31fb6b11eb85815936619b53aa_0"	"939c7a31fb6b11eb85815936619b53aa"	220	"153175"	"LAKE HILL, NY"	[42.070118,-74.209842]	220.5081815283079
32	"ad38a476126511ec9d5aedf56e77a539_0"	"ad38a476126511ec9d5aedf56e77a539"	327	"153175"	"LAKE HILL, NY"	[42.070118,-74.209842]	220.5081815283079
32	"ad38a476126511ec9d5aedf56e77a539_0"	"ad38a476126511ec9d5aedf56e77a539"	328	"153615"	"WILLOW, NY"	[42.00764704961743,-74.02663620666792]	185.86222406076243
32	"ad38a476126511ec9d5aedf56e77a539_0"	"ad38a476126511ec9d5aedf56e77a539"	329	"153263"	"MT TREMPER, NY"	[42.037721,-74.260145]	499.8564881026297
32	"ad38a476126511ec9d5aedf56e77a539_0"	"ad38a476126511ec9d5aedf56e77a539"	331	"152801"	"ALLABEN, NY"	[42.1299,-74.377109]	650.8270937777194
32	"ad38a476126511ec9d5aedf56e77a539_0"	"ad38a476126511ec9d5aedf56e77a539"	332	"153417"	"SHANDAKEN, NY"	[42.1299,-74.377109]	650.8270937777194
32	"ad38a476126511ec9d5aedf56e77a539_0"	"ad38a476126511ec9d5aedf56e77a539"	333	"152878"	"BIG INDIAN, NY"	[42.09880799999999,-74.459318]	682.6817130252389
32	"ad38a476126511ec9d5aedf56e77a539_0"	"ad38a476126511ec9d5aedf56e77a539"	339	"152812"	"ANDES, NY"	[42.12879180027018,-74.78634303772377]	174.1132499293426
32	"ad38a476126511ec9d5aedf56e77a539_0"	"ad38a476126511ec9d5aedf56e77a539"	342	"156464"	"MERIDALE, NY"	[42.38070499999999,-74.968356]	796.0115048464662
31	"38de91ba126511ec9d5acf1c6d0b3f9e_0"	"38de91ba126511ec9d5acf1c6d0b3f9e"	112	"156464"	"MERIDALE, NY"	[42.38070499999999,-74.968356]	796.0115048464662
31	"38de91ba126511ec9d5acf1c6d0b3f9e_0"	"38de91ba126511ec9d5acf1c6d0b3f9e"	114	"152812"	"ANDES, NY"	[42.12879180027018,-74.78634303772377]	174.1132499293426
31	"38de91ba126511ec9d5acf1c6d0b3f9e_0"	"38de91ba126511ec9d5acf1c6d0b3f9e"	120	"152878"	"BIG INDIAN, NY"	[42.09880799999999,-74.459318]	682.6817130252389
31	"38de91ba126511ec9d5acf1c6d0b3f9e_0"	"38de91ba126511ec9d5acf1c6d0b3f9e"	121	"153417"	"SHANDAKEN, NY"	[42.1299,-74.377109]	650.8270937777194
31	"38de91ba126511ec9d5acf1c6d0b3f9e_0"	"38de91ba126511ec9d5acf1c6d0b3f9e"	122	"152801"	"ALLABEN, NY"	[42.1299,-74.377109]	650.8270937777194
31	"38de91ba126511ec9d5acf1c6d0b3f9e_0"	"38de91ba126511ec9d5acf1c6d0b3f9e"	124	"153263"	"MT TREMPER, NY"	[42.037721,-74.260145]	499.8564881026297
31	"38de91ba126511ec9d5acf1c6d0b3f9e_0"	"38de91ba126511ec9d5acf1c6d0b3f9e"	125	"153615"	"WILLOW, NY"	[42.00764704961743,-74.02663620666792]	185.86222406076243
31	"38de91ba126511ec9d5acf1c6d0b3f9e_0"	"38de91ba126511ec9d5acf1c6d0b3f9e"	126	"153175"	"LAKE HILL, NY"	[42.070118,-74.209842]	220.5081815283079
15	"47e658e0fb6c11eb85818f27d2c840c1_0"	"47e658e0fb6c11eb85818f27d2c840c1"	48	"153175"	"LAKE HILL, NY"	[42.070118,-74.209842]	220.5081815283079
15	"47e658e0fb6c11eb85818f27d2c840c1_0"	"47e658e0fb6c11eb85818f27d2c840c1"	49	"153615"	"WILLOW, NY"	[42.00764704961743,-74.02663620666792]	185.86222406076243
15	"47e658e0fb6c11eb85818f27d2c840c1_0"	"47e658e0fb6c11eb85818f27d2c840c1"	50	"153263"	"MT TREMPER, NY"	[42.037721,-74.260145]	499.8564881026297
30	"8a521fe2126411ec9d5a61b844c2c006_0"	"8a521fe2126411ec9d5a61b844c2c006"	89	"156464"	"MERIDALE, NY"	[42.38070499999999,-74.968356]	796.0115048464662
30	"8a521fe2126411ec9d5a61b844c2c006_0"	"8a521fe2126411ec9d5a61b844c2c006"	92	"152812"	"ANDES, NY"	[42.12879180027018,-74.78634303772377]	174.1132499293426
30	"8a521fe2126411ec9d5a61b844c2c006_0"	"8a521fe2126411ec9d5a61b844c2c006"	98	"152878"	"BIG INDIAN, NY"	[42.09880799999999,-74.459318]	682.6817130252389
30	"8a521fe2126411ec9d5a61b844c2c006_0"	"8a521fe2126411ec9d5a61b844c2c006"	99	"153417"	"SHANDAKEN, NY"	[42.1299,-74.377109]	650.8270937777194
30	"8a521fe2126411ec9d5a61b844c2c006_0"	"8a521fe2126411ec9d5a61b844c2c006"	100	"152801"	"ALLABEN, NY"	[42.1299,-74.377109]	650.8270937777194
30	"8a521fe2126411ec9d5a61b844c2c006_0"	"8a521fe2126411ec9d5a61b844c2c006"	102	"153263"	"MT TREMPER, NY"	[42.037721,-74.260145]	499.8564881026297
30	"8a521fe2126411ec9d5a61b844c2c006_0"	"8a521fe2126411ec9d5a61b844c2c006"	103	"153615"	"WILLOW, NY"	[42.00764704961743,-74.02663620666792]	185.86222406076243
30	"8a521fe2126411ec9d5a61b844c2c006_0"	"8a521fe2126411ec9d5a61b844c2c006"	104	"153175"	"LAKE HILL, NY"	[42.070118,-74.209842]	220.5081815283079
28	"1803bbaf126411ec9d5ad7322ed8f33f_0"	"1803bbaf126411ec9d5ad7322ed8f33f"	290	"153109"	"HARTWICK SEMINARY, NY"	[42.630671846175325,-74.94916196322042]	101.82273593779924
28	"1803bbaf126411ec9d5ad7322ed8f33f_0"	"1803bbaf126411ec9d5ad7322ed8f33f"	292	"156464"	"MERIDALE, NY"	[42.38070499999999,-74.968356]	796.0115048464662
28	"1803bbaf126411ec9d5ad7322ed8f33f_0"	"1803bbaf126411ec9d5ad7322ed8f33f"	294	"152812"	"ANDES, NY"	[42.12879180027018,-74.78634303772377]	174.1132499293426

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 96 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.
29	"3c1c4dc4126411ec9d5a41dc31d9f783_0"	"3c1c4dc4126411ec9d5a41dc31d9f783"	368	"153021"	"FLEISCHMANNS, NY"	[42.14613045222274,-73.94653768412863]	18315.01008032276
29	"3c1c4dc4126411ec9d5a41dc31d9f783_0"	"3c1c4dc4126411ec9d5a41dc31d9f783"	369	"153131"	"HIGHMOUNT, NY"	[41.98490090586653,-74.02868944781248]	41989.92770049237
29	"3c1c4dc4126411ec9d5a41dc31d9f783_0"	"3c1c4dc4126411ec9d5a41dc31d9f783"	370	"153330"	"PINE HILL, NY"	[41.976908008768135,-74.01417510190554]	41785.92742940455
29	"3c1c4dc4126411ec9d5a41dc31d9f783_0"	"3c1c4dc4126411ec9d5a41dc31d9f783"	374	"153329"	"PHOENICIA, NY"	[41.93524,-74.024885]	29017.076799891172
29	"3c1c4dc4126411ec9d5a41dc31d9f783_0"	"3c1c4dc4126411ec9d5a41dc31d9f783"	378	"150151"	"SHADY, NY"	[41.93524,-74.024885]	16792.123629953974
29	"3c1c4dc4126411ec9d5a41dc31d9f783_0"	"3c1c4dc4126411ec9d5a41dc31d9f783"	379	"152856"	"BEARSVILLE, NY"	[41.93524,-74.024885]	16792.123629953974
29	"3c1c4dc4126411ec9d5a41dc31d9f783_0"	"3c1c4dc4126411ec9d5a41dc31d9f783"	380	"153648"	"WOODSTOCK, NY"	[41.93524,-74.024885]	13655.28009434024
29	"3c1c4dc4126411ec9d5a41dc31d9f783_0"	"3c1c4dc4126411ec9d5a41dc31d9f783"	381	"153220"	"MAVERICK RD, NY"	[41.93524,-74.024885]	13730.519995046305
29	"3c1c4dc4126411ec9d5a41dc31d9f783_0"	"3c1c4dc4126411ec9d5a41dc31d9f783"	382	"153571"	"WEST HURLEY, NY"	[41.93524,-74.024885]	10508.353769083544
27	"f426fa18126311ec9d5a9dafaa6cce06_0"	"f426fa18126311ec9d5a9dafaa6cce06"	186	"153571"	"WEST HURLEY, NY"	[41.98925385513974,-74.031131443737]	6528.543026692897
27	"f426fa18126311ec9d5a9dafaa6cce06_0"	"f426fa18126311ec9d5a9dafaa6cce06"	187	"153220"	"MAVERICK RD, NY"	[41.975229706223914,-73.99590623135167]	12199.404751084856
27	"f426fa18126311ec9d5a9dafaa6cce06_0"	"f426fa18126311ec9d5a9dafaa6cce06"	188	"153648"	"WOODSTOCK, NY"	[41.97460156077836,-73.97990652623301]	13060.017322905858
27	"f426fa18126311ec9d5a9dafaa6cce06_0"	"f426fa18126311ec9d5a9dafaa6cce06"	189	"152856"	"BEARSVILLE, NY"	[41.97547812660837,-73.9096789487266]	22964.96724919882
27	"f426fa18126311ec9d5a9dafaa6cce06_0"	"f426fa18126311ec9d5a9dafaa6cce06"	190	"150151"	"SHADY, NY"	[41.97547812660837,-73.9096789487266]	22964.96724919882
27	"f426fa18126311ec9d5a9dafaa6cce06_0"	"f426fa18126311ec9d5a9dafaa6cce06"	194	"153329"	"PHOENICIA, NY"	[42.152469831306874,-73.94338990593504]	31573.559850690253
27	"f426fa18126311ec9d5a9dafaa6cce06_0"	"f426fa18126311ec9d5a9dafaa6cce06"	198	"153330"	"PINE HILL, NY"	[42.02590078534759,-74.1061093641078]	32666.958053260805
27	"f426fa18126311ec9d5a9dafaa6cce06_0"	"f426fa18126311ec9d5a9dafaa6cce06"	199	"153131"	"HIGHMOUNT, NY"	[42.00972111518211,-74.10773057955973]	34904.97257316745
27	"f426fa18126311ec9d5a9dafaa6cce06_0"	"f426fa18126311ec9d5a9dafaa6cce06"	200	"153021"	"FLEISCHMANNS, NY"	[42.129128935098095,-74.66682009055484]	77731.53760709462
27	"f426fa18126311ec9d5a9dafaa6cce06_0"	"f426fa18126311ec9d5a9dafaa6cce06"	201	"150117"	"ARKVILLE, NY"	[42.54791226117877,-74.95550738706194]	60408.09772259148
27	"f426fa18126311ec9d5a9dafaa6cce06_0"	"f426fa18126311ec9d5a9dafaa6cce06"	202	"153219"	"MARGARETVILLE (E), NY"	[42.650180663135465,-74.94244312987564]	61140.911354392614
27	"f426fa18126311ec9d5a9dafaa6cce06_0"	"f426fa18126311ec9d5a9dafaa6cce06"	204	"150491"	"DELHI, NY"	[42.96796684811813,-75.01482322554783]	77263.93218704041
27	"f426fa18126311ec9d5a9dafaa6cce06_0"	"f426fa18126311ec9d5a9dafaa6cce06"	205	"150220"	"DELHI SUNY, NY"	[42.97341420961767,-75.01236974485772]	77712.13082692573
27	"f426fa18126311ec9d5a9dafaa6cce06_0"	"f426fa18126311ec9d5a9dafaa6cce06"	207	"151338"	"ONEONTA, NY"	[43.086586994557074,-75.16656369195157]	70988.95264355767
27	"f426fa18126311ec9d5a9dafaa6cce06_0"	"f426fa18126311ec9d5a9dafaa6cce06"	209	"152966"	"COOPERSTOWN, NY"	[43.104076,-75.223829]	51169.27630173618
27	"f426fa18126311ec9d5a9dafaa6cce06_0"	"f426fa18126311ec9d5a9dafaa6cce06"	210	"151536"	"RICHFIELD SPRINGS, NY"	[43.104076,-75.223829]	33874.77510563389
27	"f426fa18126311ec9d5a9dafaa6cce06_0"	"f426fa18126311ec9d5a9dafaa6cce06"	211	"153241"	"MOHAWK (E), NY"	[43.104076,-75.223829]	23397.759895149266
27	"f426fa18126311ec9d5a9dafaa6cce06_0"	"f426fa18126311ec9d5a9dafaa6cce06"	212	"153120"	"HERKIMER, NY"	[43.104076,-75.223829]	21011.956365532886
12	"939c7a31fb6b11eb85815936619b53aa_0"	"939c7a31fb6b11eb85815936619b53aa"	215	"153527"	"TANNERSVILLE, NY"	[42.19253476346379,-74.1596512906981]	2132.995129544025
12	"939c7a31fb6b11eb85815936619b53aa_0"	"939c7a31fb6b11eb85815936619b53aa"	216	"153142"	"HUNTER, NY"	[42.19211015570056,-74.18272810205443]	2676.6394859650686
12	"939c7a31fb6b11eb85815936619b53aa_0"	"939c7a31fb6b11eb85815936619b53aa"	217	"153329"	"PHOENICIA, NY"	[42.06837768274579,-74.30740568713534]	1712.4459770018125
12	"939c7a31fb6b11eb85815936619b53aa_0"	"939c7a31fb6b11eb85815936619b53aa"	221	"150151"	"SHADY, NY"	[41.93524,-74.024885]	16792.123629953974
12	"939c7a31fb6b11eb85815936619b53aa_0"	"939c7a31fb6b11eb85815936619b53aa"	222	"152856"	"BEARSVILLE, NY"	[41.93524,-74.024885]	16792.123629953974
12	"939c7a31fb6b11eb85815936619b53aa_0"	"939c7a31fb6b11eb85815936619b53aa"	223	"153648"	"WOODSTOCK, NY"	[41.93524,-74.024885]	13655.28009434024
12	"939c7a31fb6b11eb85815936619b53aa_0"	"939c7a31fb6b11eb85815936619b53aa"	224	"153220"	"MAVERICK RD, NY"	[41.93524,-74.024885]	13730.519995046305
12	"939c7a31fb6b11eb85815936619b53aa_0"	"939c7a31fb6b11eb85815936619b53aa"	225	"153571"	"WEST HURLEY, NY"	[41.93524,-74.024885]	10508.353769083544
32	"ad38a476126511ec9d5aedf56e77a539_0"	"ad38a476126511ec9d5aedf56e77a539"	322	"153571"	"WEST HURLEY, NY"	[41.98966438250791,-74.03119768139389]	6508.894346685586
32	"ad38a476126511ec9d5aedf56e77a539_0"	"ad38a476126511ec9d5aedf56e77a539"	323	"153220"	"MAVERICK RD, NY"	[41.97529744670635,-73.99645813218973]	12157.707114835672
32	"ad38a476126511ec9d5aedf56e77a539_0"	"ad38a476126511ec9d5aedf56e77a539"	324	"153648"	"WOODSTOCK, NY"	[41.974481686351105,-73.98044221569646]	13030.702418585093
32	"ad38a476126511ec9d5aedf56e77a539_0"	"ad38a476126511ec9d5aedf56e77a539"	325	"152856"	"BEARSVILLE, NY"	[41.975132120639195,-73.90936907117946]	23000.944987860803
32	"ad38a476126511ec9d5aedf56e77a539_0"	"ad38a476126511ec9d5aedf56e77a539"	326	"150151"	"SHADY, NY"	[41.975132120639195,-73.90936907117946]	23000.944987860803
32	"ad38a476126511ec9d5aedf56e77a539_0"	"ad38a476126511ec9d5aedf56e77a539"	330	"153329"	"PHOENICIA, NY"	[42.15285356290545,-73.94317353827695]	31601.25499883904
32	"ad38a476126511ec9d5aedf56e77a539_0"	"ad38a476126511ec9d5aedf56e77a539"	334	"153330"	"PINE HILL, NY"	[42.02631143039955,-74.1060204896711]	32657.315840722986
32	"ad38a476126511ec9d5aedf56e77a539_0"	"ad38a476126511ec9d5aedf56e77a539"	335	"153131"	"HIGHMOUNT, NY"	[42.01012430364781,-74.10786798388202]	34875.4719293354
32	"ad38a476126511ec9d5aedf56e77a539_0"	"ad38a476126511ec9d5aedf56e77a539"	336	"153021"	"FLEISCHMANNS, NY"	[42.12940759114252,-74.6664038148107]	77695.94692585326
32	"ad38a476126511ec9d5aedf56e77a539_0"	"ad38a476126511ec9d5aedf56e77a539"	337	"150117"	"ARKVILLE, NY"	[42.453022,-75.062322]	58442.24807921033
32	"ad38a476126511ec9d5aedf56e77a539_0"	"ad38a476126511ec9d5aedf56e77a539"	338	"153219"	"MARGARETVILLE (E), NY"	[42.453022,-75.062322]	48156.01063199175
32	"ad38a476126511ec9d5aedf56e77a539_0"	"ad38a476126511ec9d5aedf56e77a539"	340	"150491"	"DELHI, NY"	[42.453022,-75.062322]	22785.51101718261
32	"ad38a476126511ec9d5aedf56e77a539_0"	"ad38a476126511ec9d5aedf56e77a539"	341	"150220"	"DELHI SUNY, NY"	[42.453022,-75.062322]	22862.04202724109
31	"38de91ba126511ec9d5acf1c6d0b3f9e_0"	"38de91ba126511ec9d5acf1c6d0b3f9e"	117	"153021"	"FLEISCHMANNS, NY"	[42.14613045222274,-73.94653768412863]	18315.01008032276
31	"38de91ba126511ec9d5acf1c6d0b3f9e_0"	"38de91ba126511ec9d5acf1c6d0b3f9e"	118	"153131"	"HIGHMOUNT, NY"	[41.98490090586653,-74.02868944781248]	41989.92770049237

trip_coverage_not_active_for_next7_days

Trips data should be valid for at least the next seven days.

This notice is triggered if the date range where a significant number of trips are running ends in less than 7 days.

You can see more about this notice here.

currentDate (?) Current date (YYYYMMDD format).	serviceWindowStartDate (?) The start date of the majority service window.	serviceWindowEndDate (?) The end date of the majority service window.
"20251213"	"20210611"	"20211031"

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.
"dbac0d0de3df11eb869303d519835f89"	"dbac0d0de3df11eb869303d519835f89_0"	158250.9	158206.58	3.6444953198466337
"d42adf68f91911eb86fa51c301cb7b68"	"d42adf68f91911eb86fa51c301cb7b68_0"	158250.9	158206.58	3.6444953198466337
"3af1b6bdf91911eb86fabf533efd9ac4"	"3af1b6bdf91911eb86fabf533efd9ac4_0"	162271.4	162225.99	3.6444953198466337
"f04db0a9f93811eb86fa893248d3afb7"	"f04db0a9f93811eb86fa893248d3afb7_0"	158250.9	158206.58	3.6444953198466337
"c1a57d33f9ef11eb86fa7fe9af55df02"	"c1a57d33f9ef11eb86fa7fe9af55df02_0"	162271.4	162225.99	3.6444953198466337
"60dd3515f9f711eb86fa0f9000e3614e"	"60dd3515f9f711eb86fa0f9000e3614e_0"	158250.9	158206.58	3.6444953198466337
"939c7a31fb6b11eb85815936619b53aa"	"939c7a31fb6b11eb85815936619b53aa_0"	131040.3	93716.68	3.6444953198466337
"2bf0fffdfb7211eb858153432f3da17c"	"2bf0fffdfb7211eb858153432f3da17c_0"	158250.9	158206.58	3.6444953198466337
"379bdfaf074611ec85818d75f5c6e2af"	"379bdfaf074611ec85818d75f5c6e2af_0"	162271.4	162225.99	3.6444953198466337
"0838674c074311ec8581539f188e6e5e"	"0838674c074311ec8581539f188e6e5e_0"	158250.9	158206.58	3.6444953198466337
"adcb561b074311ec85815d699838855d"	"adcb561b074311ec85815d699838855d_0"	158250.9	158206.58	3.6444953198466337
"f426fa18126311ec9d5a9dafaa6cce06"	"f426fa18126311ec9d5a9dafaa6cce06_0"	693647.6	578078.18	2.141901555918172
"3c1c4dc4126411ec9d5a41dc31d9f783"	"3c1c4dc4126411ec9d5a41dc31d9f783_0"	407681.9	292274.46	3.6444953198466337
"8a521fe2126411ec9d5a61b844c2c006"	"8a521fe2126411ec9d5a61b844c2c006_0"	407681.9	292274.46	3.6444953198466337
"38de91ba126511ec9d5acf1c6d0b3f9e"	"38de91ba126511ec9d5acf1c6d0b3f9e_0"	407681.9	292274.46	3.6444953198466337