GTFS Schedule Validation Report

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.
"125_4"	1182	2.91	32	1181	2.91	31	1.0003986217230207
"125_1"	559	144.61	460	558	144.61	459	1.0003986217230207

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 74 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`.
"34_2"	3847	21.43	34	3846	21.43	33
"34_1"	3780	10.59	23	3779	10.59	22
"50_8"	5717	23.22	57	5716	23.22	56
"50_8"	5732	33.17	72	5731	33.17	71
"50_8"	5734	33.63	74	5733	33.63	73
"50_8"	5756	40.08	96	5755	40.08	95
"50_8"	5757	40.08	97	5756	40.08	96
"35_3"	4400	36.11	176	4399	36.11	175
"50_2"	5058	0.04	3	5057	0.04	2
"50_2"	5073	10.0	18	5072	10.0	17
"50_2"	5075	10.45	20	5074	10.45	19
"50_2"	5097	16.91	42	5096	16.91	41
"50_2"	5098	16.91	43	5097	16.91	42
"125_5"	1681	12.66	35	1680	12.66	34
"125_5"	1710	23.84	64	1709	23.84	63
"125_5"	1738	47.83	92	1737	47.83	91
"125_5"	1739	47.83	93	1738	47.83	92
"125_5"	1740	47.83	94	1739	47.83	93
"125_5"	1741	47.83	95	1740	47.83	94
"125_5"	1743	47.97	97	1742	47.97	96
"125_5"	1745	48.19	99	1744	48.19	98
"125_5"	1747	48.29	101	1746	48.29	100
"125_5"	1750	48.64	104	1749	48.64	103
"125_5"	1751	48.64	105	1750	48.64	104
"125_5"	1752	48.64	106	1751	48.64	105
"125_3"	907	12.66	35	906	12.66	34
"125_3"	936	23.84	64	935	23.84	63
"125_3"	964	47.83	92	963	47.83	91
"125_3"	965	47.83	93	964	47.83	92
"125_3"	966	47.83	94	965	47.83	93
"125_3"	967	47.83	95	966	47.83	94
"125_3"	969	47.97	97	968	47.97	96
"125_3"	971	48.19	99	970	48.19	98
"125_3"	973	48.29	101	972	48.29	100
"125_3"	976	48.64	104	975	48.64	103
"125_3"	977	48.64	105	976	48.64	104
"125_3"	978	48.64	106	977	48.64	105
"125_4"	1308	41.0	158	1307	41.0	157
"125_4"	1529	97.12	379	1528	97.12	378
"125_4"	1530	97.12	380	1529	97.12	379
"125_4"	1531	97.12	381	1530	97.12	380
"125_4"	1532	97.12	382	1531	97.12	381
"125_4"	1534	97.26	384	1533	97.26	383
"125_4"	1536	97.48	386	1535	97.48	385
"125_4"	1548	100.09	398	1547	100.09	397
"125_4"	1550	100.23	400	1549	100.23	399
"125_4"	1551	100.23	401	1550	100.23	400
"125_4"	1552	100.23	402	1551	100.23	401
"125_4"	1553	100.23	403	1552	100.23	402
"4_2"	4889	15.78	85	4888	15.78	84
"125_1"	134	12.66	35	133	12.66	34
"125_1"	163	23.84	64	162	23.84	63
"125_1"	191	47.83	92	190	47.83	91
"125_1"	192	47.83	93	191	47.83	92
"125_1"	193	47.83	94	192	47.83	93
"125_1"	194	47.83	95	193	47.83	94
"125_1"	196	47.97	97	195	47.97	96
"125_1"	198	48.19	99	197	48.19	98
"125_1"	200	48.29	101	199	48.29	100
"125_1"	203	48.64	104	202	48.64	103
"125_1"	204	48.64	105	203	48.64	104
"125_1"	205	48.64	106	204	48.64	105
"125_1"	434	106.52	335	433	106.52	334
"125_2"	755	45.72	166	754	45.72	165
"125_2"	756	45.72	167	755	45.72	166
"125_2"	757	45.72	168	756	45.72	167
"125_2"	758	45.72	169	757	45.72	168
"125_2"	760	45.86	171	759	45.86	170
"125_2"	762	46.09	173	761	46.09	172
"125_2"	774	48.7	185	773	48.7	184
"125_2"	776	48.84	187	775	48.84	186
"125_2"	777	48.84	188	776	48.84	187
"125_2"	778	48.84	189	777	48.84	188
"125_2"	779	48.84	190	778	48.84	189

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	"010203"
3	"0102030405"
4	"0405"
5	"06"
6	"07"
7	"01020304"
8	"05"

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.
251	"50_1_6"	"50"	177.40989278085348	1.478415773173779	12181	23	"SGM39C"	"boul. l'Ange-Gardien nord / avenue Adhémar-Raynault"	"08:15:30"	12182	24	"SGM40C"	"boul. l'Ange-Gardien nord / face au 2185"	"08:16:00"
267	"50_1_9"	"50"	177.40989278085348	1.478415773173779	12527	23	"SGM39C"	"boul. l'Ange-Gardien nord / avenue Adhémar-Raynault"	"08:15:30"	12528	24	"SGM40C"	"boul. l'Ange-Gardien nord / face au 2185"	"08:16:00"

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.

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"	"12e avenue / face au 920"	86
"stops.txt"	"stop_name"	"route 335 / face au 284"	109
"stops.txt"	"stop_name"	"route 343 / 17e avenue"	307
"stops.txt"	"stop_name"	"route 343 / route 348"	309
"stops.txt"	"stop_name"	"route 343 / route 348"	320
"stops.txt"	"stop_name"	"route 343 / 17e avenue"	322
"stops.txt"	"stop_name"	"route 138 / face au 820"	334
"stops.txt"	"stop_name"	"route 138 / face au 825"	364
"stops.txt"	"stop_name"	"route 125 / route 341"	370
"stops.txt"	"stop_name"	"route 125 / rang des continuations"	375
"stops.txt"	"stop_name"	"route 125 / route 339"	378
"stops.txt"	"stop_name"	"route 125 / route 339"	396
"stops.txt"	"stop_name"	"route 125 / rang des continuations"	398
"stops.txt"	"stop_name"	"route 125 / route 341"	412
"stops.txt"	"stop_name"	"route 131 / 2e rang de la chaloupe"	444
"stops.txt"	"stop_name"	"route 131 / 2e rang de la chaloupe"	445
"stops.txt"	"stop_name"	"8e rue / 4e avenue"	470
"stops.txt"	"stop_name"	"8e rue / 2e avenue"	471
"stops.txt"	"stop_name"	"8e rue / 4e avenue"	500
"stops.txt"	"stop_name"	"8e rue / 2e avenue"	501

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.
"20250517"	"20180101"	"20200904"