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.

Only the first 50 of 3339 affected records are displayed below.

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.
"30024"	1094522	104239.5	1993	1094521	104239.5	1992	0.11119510090982554
"2681"	180469	135913.8	2471	180468	135913.8	2470	0.12752942403551987
"2681"	180472	135914.0	2474	180471	135914.0	2473	0.11119510090982554
"2681"	180475	135914.2	2477	180474	135914.2	2476	0.11119510090982554
"2681"	180479	135914.5	2481	180478	135914.5	2480	0.11119510232447394
"2681"	180482	135914.7	2484	180481	135914.7	2483	0.11119510161714974
"2681"	180485	135914.9	2487	180484	135914.9	2486	0.12752941555597483
"2681"	180494	135915.5	2496	180493	135915.5	2495	0.11119510090982554
"2681"	180497	135915.7	2499	180496	135915.7	2498	0.11119510161714974
"2681"	180500	135915.9	2502	180499	135915.9	2501	0.11119510090982554
"2681"	180506	135916.3	2508	180505	135916.3	2507	0.06244516681738816
"2681"	180510	135916.6	2512	180509	135916.6	2511	0.11119510161714974
"2681"	180519	135917.2	2521	180518	135917.2	2520	0.11119510090982554
"2681"	180522	135917.4	2524	180521	135917.4	2523	0.12752939825777979
"2681"	180525	135917.6	2527	180524	135917.6	2526	0.11119510161714974
"2681"	180534	135918.2	2536	180533	135918.2	2535	0.11119510161714974
"2681"	180537	135918.4	2539	180536	135918.4	2538	0.11119510090982554
"2681"	180540	135918.6	2542	180539	135918.6	2541	0.11119510090982554
"2681"	180544	135918.9	2546	180543	135918.9	2545	0.11119510161714974
"2681"	180547	135919.1	2549	180546	135919.1	2548	0.11119510090982554
"2681"	180550	135919.3	2552	180549	135919.3	2551	0.11119510090982554
"2681"	180559	135919.9	2561	180558	135919.9	2560	0.12752938095958766
"2681"	180562	135920.1	2564	180561	135920.1	2563	0.11119510161714974
"2681"	180573	135920.8	2575	180572	135920.8	2574	0.11119510161714974
"2681"	180575	135920.9	2577	180574	135920.9	2576	0.11119510090982554
"2681"	180578	135921.1	2580	180577	135921.1	2579	0.11119510161714974
"2681"	180586	135921.6	2588	180585	135921.6	2587	0.11119510090982554
"2681"	180591	135921.9	2593	180590	135921.9	2592	0.11119510090982554
"2681"	180593	135922.0	2595	180592	135922.0	2594	0.11119510161714974
"2681"	180604	135922.7	2606	180603	135922.7	2605	0.11119510161714974
"2681"	180606	135922.8	2608	180605	135922.8	2607	0.11119510090982554
"2681"	180609	135923.0	2611	180608	135923.0	2610	0.11119510161714974
"2681"	180611	135923.1	2613	180610	135923.1	2612	0.11119510090982554
"2681"	180617	135923.5	2619	180616	135923.5	2618	0.1275293557985862
"2681"	180619	135923.6	2621	180618	135923.6	2620	0.11119510161714974
"2681"	180622	135923.8	2624	180621	135923.8	2623	0.11119510090982554
"2681"	180624	135923.9	2626	180623	135923.9	2625	0.11119510232447394
"2681"	180629	135924.2	2631	180628	135924.2	2630	0.11119510161714974
"2681"	180635	135924.6	2637	180634	135924.6	2636	0.11119510161714974
"2681"	180637	135924.7	2639	180636	135924.7	2638	0.11119510090982554
"2681"	180640	135924.9	2642	180639	135924.9	2641	0.11119510090982554
"2681"	180642	135925.0	2644	180641	135925.0	2643	0.11119510090982554
"2681"	180650	135925.5	2652	180649	135925.5	2651	0.11119510161714974
"2681"	180653	135925.7	2655	180652	135925.7	2654	0.11119510090982554
"2681"	180655	135925.8	2657	180654	135925.8	2656	0.11119510161714974
"2681"	180666	135926.5	2668	180665	135926.5	2667	0.11119510161714974
"2681"	180668	135926.6	2670	180667	135926.6	2669	0.11119510090982554
"2681"	180671	135926.8	2673	180670	135926.8	2672	0.11119510090982554
"2681"	180680	135927.4	2682	180679	135927.4	2681	0.11119510161714974
"2681"	180682	135927.5	2684	180681	135927.5	2683	0.11119510090982554

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 3454 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`.
"29024"	538697	148042.4	3038	538696	148042.4	3037
"30025"	1098578	128479.9	2455	1098577	128479.9	2454
"29389"	878264	137920.1	2829	878263	137920.1	2828
"39068"	1292546	1205.5	24	1292545	1205.5	23
"39068"	1292727	12631.5	205	1292726	12631.5	204
"39068"	1292883	20843.7	361	1292882	20843.7	360
"39068"	1293037	27437.5	515	1293036	27437.5	514
"39068"	1293084	29887.0	562	1293083	29887.0	561
"39068"	1293156	32834.7	634	1293155	32834.7	633
"39068"	1293210	35707.7	688	1293209	35707.7	687
"39068"	1293291	38702.0	769	1293290	38702.0	768
"39068"	1293367	42593.6	845	1293366	42593.6	844
"39068"	1293396	44406.1	874	1293395	44406.1	873
"39068"	1293413	46457.2	891	1293412	46457.2	890
"39068"	1293468	50053.0	946	1293467	50053.0	945
"39068"	1293505	52038.7	983	1293504	52038.7	982
"39068"	1293545	54228.5	1023	1293544	54228.5	1022
"39068"	1293615	57770.6	1093	1293614	57770.6	1092
"39068"	1293683	61758.5	1161	1293682	61758.5	1160
"39068"	1293946	73543.5	1424	1293945	73543.5	1423
"39068"	1294097	76707.2	1575	1294096	76707.2	1574
"39068"	1294130	79048.7	1608	1294129	79048.7	1607
"39068"	1294186	83186.9	1664	1294185	83186.9	1663
"39068"	1294268	86670.2	1746	1294267	86670.2	1745
"39068"	1294349	88600.8	1827	1294348	88600.8	1826
"39068"	1294443	91992.0	1921	1294442	91992.0	1920
"39068"	1294565	96103.6	2043	1294564	96103.6	2042
"39068"	1294744	100996.3	2222	1294743	100996.3	2221
"39068"	1294921	107481.4	2399	1294920	107481.4	2398
"39068"	1295278	118217.0	2756	1295277	118217.0	2755
"39068"	1295443	123890.4	2921	1295442	123890.4	2920
"39068"	1295511	129182.9	2989	1295510	129182.9	2988
"39068"	1295622	134007.2	3100	1295621	134007.2	3099
"39068"	1295711	139284.0	3189	1295710	139284.0	3188
"39068"	1295795	143222.0	3273	1295794	143222.0	3272
"39068"	1295846	145499.9	3324	1295845	145499.9	3323
"39068"	1295951	147266.4	3429	1295950	147266.4	3428
"39068"	1295983	149266.7	3461	1295982	149266.7	3460
"39068"	1296117	156197.5	3595	1296116	156197.5	3594
"39068"	1296229	159334.4	3707	1296228	159334.4	3706
"39068"	1296338	165426.5	3816	1296337	165426.5	3815
"39068"	1296362	166935.7	3840	1296361	166935.7	3839
"39068"	1296488	177154.4	3966	1296487	177154.4	3965
"39068"	1296582	185229.3	4060	1296581	185229.3	4059
"39068"	1296747	195188.5	4225	1296746	195188.5	4224
"39068"	1296820	196726.1	4298	1296819	196726.1	4297
"39068"	1297155	214819.6	4633	1297154	214819.6	4632
"39068"	1297341	224192.7	4819	1297340	224192.7	4818
"39068"	1297418	227224.2	4896	1297417	227224.2	4895
"2681"	179705	93134.7	1707	179704	93134.7	1706

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.
78	"44515"
73	"44517"
45	"108844"
142	"98805"
338	"74978"

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.
"trips.txt"	"trip_short_name"	"4!AG"	67
"trips.txt"	"trip_short_name"	"5_HG"	166
"trips.txt"	"trip_short_name"	"3*AG"	530

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.
102	"29420"	"2_V7429613"	5288	"2_V8013"	"Balninkai"	[55.293757,25.120737000000002]	147.47788595097236
548	"29615"	"2_V7432118"	5657	"2_V13220"	"Laukuva"	[55.621511000000005,22.239248000000003]	134.78370867362614
181	"29616"	"2_V7432119"	5705	"2_V13165"	"Laukuva"	[55.621733,22.238377]	137.2756450378002

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.
1819	"41_1011"	"Bubiai"
1820	"41_1071"	"Bridai"
1821	"41_1073"	"Bridai"
1823	"41_1088"	"Piktuižiai"
1824	"41_1089"	"Piktuižiai"
1827	"41_1138"	"Turgus"
1839	"41_952"	"Aukštelkė"
1840	"41_953"	"Aukštelkė"
1841	"41_987"	"Bubiai"
1842	"43_3247"	"Autobusų parkas"
1883	"57_236"	"Sodai Neris"
1885	"57_263"	"K. Petrausko"
1888	"58_5332"	"Miesto ligoninė"
1906	"60_118"	"Grūtas"
1914	"60_227"	"Ringeliškės"
1920	"62_2435"	"Vytauto Didžiojo tiltas"
1923	"62_2841"	"Kauno pilis"
1925	"62_2953"	"Jonučiai"
1928	"62_2962"	"Biblioteka A"
1930	"62_2994"	"Raudondvaris"
1932	"_1017"	"1-asis Kuras"
1933	"_1018"	"Altoniškiai"
1934	"_1030"	"Akademijos miestelis"
1935	"_1031"	"Akademijos miestelis"
1941	"_1315"	"Šilainių poliklinika"
1945	"_3351"	"Akademijos miestelis"
1956	"_3497"	"Strielčiai"
1957	"_3501"	"Prienų autobusų stotis"
1958	"_3514"	"Strielčiai"
1963	"_3526"	"Europos pr."
1971	"_884"	"Altoniškiai"
1972	"_885"	"1-asis Kuras"

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.
389	"54901"	"2_V8226897"	10674	"2_V45588"	"Balbieriškis"	[54.524770000000004,23.885448]	10673	"2_V45784"	"Balbieriškis"	[54.525039387689404,23.885400507640224]
213	"54903"	"2_V8241502"	10981	"2_V45588"	"Balbieriškis"	[54.524770000000004,23.885448]	10980	"2_V45784"	"Balbieriškis"	[54.525039387689404,23.885400507640224]

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