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.
"15821"	10650	20596.5	662	10649	20596.5	661	0.12801541284872414

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 2589 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`.
"68995"	15598	407.6	11	15597	407.6	10
"68995"	15604	1008.3	17	15603	1008.3	16
"68995"	15612	2037.0	25	15611	2037.0	24
"68995"	15628	2880.1	41	15627	2880.1	40
"68995"	15635	3600.3	48	15634	3600.3	47
"68995"	15638	4238.4	51	15637	4238.4	50
"68995"	15640	4547.8	53	15639	4547.8	52
"68995"	15648	5318.4	61	15647	5318.4	60
"68995"	15654	5947.8	67	15653	5947.8	66
"68995"	15659	6395.0	72	15658	6395.0	71
"68995"	15664	6849.0	77	15663	6849.0	76
"68994"	15458	2849.8	8	15457	2849.8	7
"68994"	15464	3684.5	14	15463	3684.5	13
"68994"	15476	6650.8	26	15475	6650.8	25
"68994"	15481	8123.0	31	15480	8123.0	30
"68994"	15493	10451.0	43	15492	10451.0	42
"68994"	15504	13054.7	54	15503	13054.7	53
"68994"	15508	14394.8	58	15507	14394.8	57
"68994"	15517	17252.2	67	15516	17252.2	66
"68994"	15520	19164.9	70	15519	19164.9	69
"68994"	15522	20541.1	72	15521	20541.1	71
"68994"	15528	22729.8	78	15527	22729.8	77
"68994"	15536	23506.1	86	15535	23506.1	85
"68994"	15545	24749.4	95	15544	24749.4	94
"68994"	15548	26021.6	98	15547	26021.6	97
"68994"	15552	26977.2	102	15551	26977.2	101
"68994"	15557	28843.4	107	15556	28843.4	106
"68994"	15562	30804.1	112	15561	30804.1	111
"68994"	15567	33916.9	117	15566	33916.9	116
"68994"	15573	35023.4	123	15572	35023.4	122
"68994"	15577	36565.9	127	15576	36565.9	126
"69049"	19817	2043.3	12	19816	2043.3	11
"69049"	19820	3319.7	15	19819	3319.7	14
"69049"	19826	5238.0	21	19825	5238.0	20
"69049"	19833	6956.8	28	19832	6956.8	27
"69049"	19836	9601.5	31	19835	9601.5	30
"69049"	19848	11261.8	43	19847	11261.8	42
"69049"	19855	12280.5	50	19854	12280.5	49
"69049"	19858	14461.1	53	19857	14461.1	52
"69049"	19863	16723.2	58	19862	16723.2	57
"69049"	19868	17721.2	63	19867	17721.2	62
"69049"	19870	19369.0	65	19869	19369.0	64
"69049"	19876	23310.7	71	19875	23310.7	70
"69049"	19884	25348.6	79	19883	25348.6	78
"69049"	19894	28123.2	89	19893	28123.2	88
"69049"	19903	30689.9	98	19902	30689.9	97
"69049"	19907	32148.5	102	19906	32148.5	101
"69049"	19914	34062.0	109	19913	34062.0	108
"69049"	19917	36431.6	112	19916	36431.6	111
"68993"	15370	243.4	4	15369	243.4	3

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.
36	"62494"

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.
394	"15_732-20261022"	"15_24391"	1867.0047243666775	0.5186124234351882	4906	7	"15_319"	"Klonio g."	"10:00:59"	4907	8	"15_99"	"Profesinio rengimo centras"	"10:01:00"
618	"15_663-20261022"	"15_24387"	211.21894486641946	3.5203157477736577	10382	1	"15_405"	"Pakščiai"	"16:05:00"	10383	2	"15_177"	"Vainiūnai"	"16:05:00"
192	"15_471-20261022"	"15_24392"	185.48009562752432	0.30913349271254054	9608	5	"15_240"	"Centras"	"10:26:54"	9609	6	"15_209"	"Žemaitės"	"10:27:00"
100	"15_735-20261022"	"15_24391"	1867.0047243666775	0.5186124234351882	9742	7	"15_319"	"Klonio g."	"14:18:59"	9743	8	"15_99"	"Profesinio rengimo centras"	"14:19:00"
491	"15_892-20261022"	"15_24392"	185.48009562752432	0.30913349271254054	2952	5	"15_240"	"Centras"	"10:26:54"	2953	6	"15_209"	"Žemaitės"	"10:27:00"
237	"15_876-20261022"	"15_24392"	185.48009562752432	0.30913349271254054	5480	5	"15_240"	"Centras"	"10:26:54"	5481	6	"15_209"	"Žemaitės"	"10:27:00"
12	"15_736-20261022"	"15_24391"	1867.0047243666775	0.5186124234351882	3980	7	"15_319"	"Klonio g."	"11:28:59"	3981	8	"15_99"	"Profesinio rengimo centras"	"11:29:00"
10	"15_866-20261022"	"15_24392"	185.48009562752432	0.30913349271254054	5319	5	"15_240"	"Centras"	"14:45:54"	5320	6	"15_209"	"Žemaitės"	"14:46:00"
182	"15_976-20261022"	"15_24392"	185.48009562752432	0.30913349271254054	9041	5	"15_240"	"Centras"	"14:45:54"	9042	6	"15_209"	"Žemaitės"	"14:46:00"
342	"15_883-20261022"	"15_24392"	185.48009562752432	0.30913349271254054	646	5	"15_240"	"Centras"	"14:45:54"	647	6	"15_209"	"Žemaitės"	"14:46:00"
163	"15_739-20261022"	"15_24391"	1867.0047243666775	0.5186124234351882	7669	7	"15_319"	"Klonio g."	"15:13:59"	7670	8	"15_99"	"Profesinio rengimo centras"	"15:14:00"
605	"15_464-20261022"	"15_24392"	185.48009562752432	0.30913349271254054	2064	5	"15_240"	"Centras"	"06:23:54"	2065	6	"15_209"	"Žemaitės"	"06:24:00"
58	"15_661-20261022"	"15_24387"	211.21894486641946	3.5203157477736577	5676	1	"15_405"	"Pakščiai"	"14:19:00"	5677	2	"15_177"	"Vainiūnai"	"14:19:00"
55	"15_911-20261022"	"15_24391"	1867.0047243666775	0.5186124234351882	4715	7	"15_319"	"Klonio g."	"05:53:59"	4716	8	"15_99"	"Profesinio rengimo centras"	"05:54:00"
525	"15_898-20261022"	"15_24391"	1867.0047243666775	0.5186124234351882	8091	7	"15_319"	"Klonio g."	"05:53:59"	8092	8	"15_99"	"Profesinio rengimo centras"	"05:54:00"
64	"15_264-20261022"	"15_24400"	1825.8684619266194	0.5071856838685054	5622	5	"15_105"	"Ramybės st."	"15:39:59"	5623	6	"15_50"	"Mindaugo"	"15:40:00"

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"

stop_without_stop_time

A stop in stops.txt is not referenced by any stop_times.stop_id.

Such stops are not used by any trip and normally do not provide user value. This notice may indicate a typo in stop_times.txt.

You can see more about this notice here.

csvRowNumber (?) The row number of the faulty record.	stopId (?) The id of the faulty stop.	stopName (?) The name of the faulty stop.
20	"15_116"	"Ruseiniai"
68	"15_160"	"Transformatorinė"
91	"15_181"	"Varnupė"
104	"15_193"	"Čiukiškės"
114	"15_201"	"Šmotiškiai"
148	"15_234"	"Mąstautai"
166	"15_250"	"Deveikiškiai"
187	"15_27"	"Angiriai"
202	"15_283"	"Josvainių gimnazija"
217	"15_298"	"Kapinės"
279	"15_354"	"Varnupė"
280	"15_355"	"Angiriai"
281	"15_356"	"Ruseiniai"
282	"15_357"	"Pilsupiai"
283	"15_358"	"Pilsupių sankryža"
284	"15_359"	"Šmotiškiai"
286	"15_360"	"Deveikiškiai"
287	"15_361"	"Meironiškiai"
288	"15_362"	"Kapinės"
348	"15_43"	"Meironiškiai"
361	"15_55"	"Mąstautai"
372	"15_65"	"Pajieslys"
402	"15_93"	"Pilsupiai"
403	"15_94"	"Pilsupių sankryža"

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.
195	"69073"	"15_657-20261022"	6909	"15_333"	"Pašiliai 1"	[55.225386015416355,23.929402592464147]	6908	"15_335"	"Progreso sodai"	[55.22586304072595,23.929817837339353]

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.
"fare_attributes.txt"	"journey_duration"	8
"routes.txt"	"eligibility_restricted"	11
"routes.txt"	"bikes_allowed"	12
"routes.txt"	"regional_fare_card"	14
"stops.txt"	"stop_direction"	12
"stops.txt"	"vehicle_type"	14
"stops.txt"	"mta_stop_id"	17
"stops.txt"	"regional_fare_card"	18
"stop_times.txt"	"start_service_area_id"	1
"stop_times.txt"	"end_service_area_id"	2
"stop_times.txt"	"note_id"	5
"stop_times.txt"	"to_stop_sequence"	16
"stop_times.txt"	"route_short_name"	18
"stop_times.txt"	"start_service_area_radius"	24
"stop_times.txt"	"end_service_area_radius"	25
"stop_times.txt"	"fare_period_id"	26
"stop_times.txt"	"departure_buffer"	27
"stop_times.txt"	"track"	28
"stop_times.txt"	"mean_duration_factor"	29
"stop_times.txt"	"mean_duration_offset"	30
"stop_times.txt"	"safe_duration_factor"	31
"stop_times.txt"	"safe_duration_offset"	32
"stop_times.txt"	"free_running_flag"	33
"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