GTFS Schedule Validation Report

duplicate_route_name

Two distinct routes have either the same route_short_name, the same route_long_name, or the same combination of route_short_name and route_long_name.

All routes of the same route_type with the same agency_id should have unique combinations of route_short_name and route_long_name.

Note that there may be valid cases where routes have the same short and long name, e.g., if they serve different areas. However, different directions must be modeled as the same route.

Example of bad data:

route_id	route_short_name	route_long_name
route1	U1	Southern
route2	U1	Southern

You can see more about this notice here.

csvRowNumber1 (?) The row number of the first occurrence.	routeId1 (?) The id of the the first occurrence.	csvRowNumber2 (?) The row number of the other occurrence.	routeId2 (?) The id of the the other occurrence.	routeShortName (?) Common `routes.route_short_name`.	routeLongName (?) Common `routes.route_long_name`.	routeTypeValue (?) Common `routes.route_type`.	agencyId (?) Common `routes.agency_id`.
6	"21833"	12	"21595"	"3"	"Autobusų parkas–Kauno g.–Autobusų stotis–Gedimino g.–Aušros g.–Saulės g.– Narto k."	3	"61"
3	"21828"	14	"21589"	"8"	"Degučiai-Ožkasviliai-Balsupiai-Keturvalakiai-Degučių k.-Karkliniai"	3	"61"
9	"21592"	16	"21822"	"3A"	"Autobusų stotis–Sasnavos g.–Vasaros g.–Klaipėdos g.–Panausupio g.–Punsko g.–Matulaičių g.–Dainavos g.–Aušros g.–Autobusų stotis"	3	"61"
13	"21588"	17	"21827"	"18"	"Mokolai-Padovinys-Gyviškiai-Daukšiai"	3	"61"
5	"21838"	18	"21601"	"13"	"Marijampolės autobusų stotis-Patašinė-Igliauka-Gudeliai-Riečiai-Daugirdai"	3	"61"
7	"21832"	19	"21597"	"19"	"Marijampolės autobusų stotis-Mokolų k.-Strazdiškiai-Rudžiai-Šunskai-Tursučiai"	3	"61"
10	"21586"	23	"21825"	"7"	"Mokolai-Degučiai-Puskelniai"	3	"61"
20	"21600"	24	"21839"	"6B"	"Kosmonautų g.-Mokolai-Degučiai-Aušros g."	3	"61"
22	"21596"	25	"21831"	"11"	"Pieno konservai–Aušros g.–Kvietiškis–Iceco"	3	"61"
11	"21590"	26	"21830"	"20"	"Marijampolės autobusų stotis-Tautkaičiai-Obelinė-Plutiškės"	3	"61"
2	"21835"	27	"21599"	"6"	"Skaisčiūnai–Kosmonautų g.–Mokolai–Degučiai–Laisvės g.–Iceco–Kvietiškis"	3	"61"
15	"21585"	29	"21824"	"12"	"Degučiai-Meškučiai-Skardupiai-Vidgiriai-Svetlica"	3	"61"
4	"21823"	32	"21593"	"15"	"Mokolai-Nartelio sodai-Užgiriai-Liudvinavas-Liucinavas"	3	"61"
8	"21836"	33	"21598"	"16"	"Mokolai-Liudvinavas-Kūlokai-Bukta-Želsva-Naujiena"	3	"61"
28	"21829"	34	"21591"	"10"	"Autobusų parkas–Mokolai–Kosmonautų g –Autobusų parkas"	3	"61"
21	"21602"	35	"21837"	"17"	"Marijampolė-Sasnava-Vinčai-Gavaltuva-Bagotoji-Kazlų Rūda"	3	"61"
31	"21826"	36	"21587"	"9"	"Naujosios kapinės–Mokolai–Degučiai–Autobusų stotis–Kumelionys–SB „Piliakalnis"	3	"61"
30	"21834"	37	"21594"	"14"	"Mokolai-Degučiai-Trakiškiai-Baraginė"	3	"61"

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 6670 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`.
"58275"	108074	11.1	5	108073	11.1	4
"58275"	108076	65.4	7	108075	65.4	6
"58275"	108096	1407.5	27	108095	1407.5	26
"58275"	108098	1423.1	29	108097	1423.1	28
"58275"	108120	2297.3	51	108119	2297.3	50
"58275"	108129	2638.9	60	108128	2638.9	59
"58275"	108141	2979.9	72	108140	2979.9	71
"58275"	108152	3366.7	83	108151	3366.7	82
"58275"	108169	4126.9	100	108168	4126.9	99
"58275"	108176	4715.9	107	108175	4715.9	106
"58275"	108194	5054.1	125	108193	5054.1	124
"58275"	108196	5130.3	127	108195	5130.3	126
"58275"	108207	6224.9	138	108206	6224.9	137
"58275"	108226	7397.5	157	108225	7397.5	156
"58275"	108231	7476.7	162	108230	7476.7	161
"58275"	108238	7580.3	169	108237	7580.3	168
"58275"	108265	8297.6	196	108264	8297.6	195
"58275"	108280	8668.8	211	108279	8668.8	210
"58275"	108288	9028.2	219	108287	9028.2	218
"58275"	108331	9677.6	262	108330	9677.6	261
"58275"	108334	9794.5	265	108333	9794.5	264
"58274"	107514	876.4	25	107513	876.4	24
"58274"	107540	2599.3	51	107539	2599.3	50
"58274"	107594	4094.8	105	107593	4094.8	104
"58274"	107621	4824.3	132	107620	4824.3	131
"58274"	107629	5153.5	140	107628	5153.5	139
"58274"	107677	7224.0	188	107676	7224.0	187
"58274"	107679	7240.7	190	107678	7240.7	189
"58274"	107681	7257.5	192	107680	7257.5	191
"58274"	107732	9645.6	243	107731	9645.6	242
"58274"	107772	11143.8	283	107771	11143.8	282
"58274"	107863	14066.8	374	107862	14066.8	373
"58274"	107892	15488.0	403	107891	15488.0	402
"58274"	107946	17219.9	457	107945	17219.9	456
"58274"	107949	17316.9	460	107948	17316.9	459
"58274"	107965	17912.7	476	107964	17912.7	475
"58274"	107980	18066.5	491	107979	18066.5	490
"58274"	107990	18160.7	501	107989	18160.7	500
"58274"	108012	18578.2	523	108011	18578.2	522
"58274"	108019	18681.8	530	108018	18681.8	529
"58274"	108046	19399.1	557	108045	19399.1	556
"58274"	108061	19770.2	572	108060	19770.2	571
"58277"	108648	15.6	3	108647	15.6	2
"58277"	108670	889.8	25	108669	889.8	24
"58277"	108679	1231.4	34	108678	1231.4	33
"58277"	108691	1572.4	46	108690	1572.4	45
"58277"	108702	1959.3	57	108701	1959.3	56
"58277"	108719	2719.5	74	108718	2719.5	73
"58277"	108726	3308.4	81	108725	3308.4	80
"58277"	108744	3646.6	99	108743	3646.6	98

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.
25	"99416"
36	"99418"
57	"99412"
9	"99414"
24	"99413"
18	"100817"
19	"100818"
90	"99405"
89	"99404"
4	"100792"
7	"99406"
79	"99403"
73	"100783"
31	"100784"
44	"100785"
15	"100786"
71	"99438"
70	"99437"
75	"100793"
45	"100794"
62	"100796"
77	"100798"
92	"99424"
26	"99421"
34	"100801"
5	"100804"

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.

Even though the column timepoint is optional in stop_times.txt according to the specification, stop_times.timepoint should not be empty when provided.

You can see more about this notice here.

Only the first 50 of 14631 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	"61_48-20260528"	0
3	"61_48-20260528"	1
4	"61_48-20260528"	2
5	"61_48-20260528"	3
6	"61_48-20260528"	4
7	"61_48-20260528"	5
8	"61_48-20260528"	6
9	"61_48-20260528"	7
10	"61_48-20260528"	8
11	"61_48-20260528"	9
12	"61_48-20260528"	10
13	"61_48-20260528"	11
14	"61_48-20260528"	12
15	"61_48-20260528"	13
16	"61_48-20260528"	14
17	"61_48-20260528"	15
18	"61_48-20260528"	16
19	"61_48-20260528"	17
20	"61_48-20260528"	18
21	"61_48-20260528"	19
22	"61_48-20260528"	20
23	"61_48-20260528"	21
24	"61_48-20260528"	22
25	"61_529-20260528"	0
26	"61_529-20260528"	1
27	"61_529-20260528"	2
28	"61_529-20260528"	3
29	"61_529-20260528"	4
30	"61_51-20260528"	0
31	"61_51-20260528"	1
32	"61_51-20260528"	2
33	"61_51-20260528"	3
34	"61_51-20260528"	4
35	"61_51-20260528"	5
36	"61_51-20260528"	6
37	"61_51-20260528"	7
38	"61_51-20260528"	8
39	"61_51-20260528"	9
40	"61_51-20260528"	10
41	"61_51-20260528"	11
42	"61_51-20260528"	12
43	"61_51-20260528"	13
44	"61_51-20260528"	14
45	"61_51-20260528"	15
46	"61_51-20260528"	16
47	"61_51-20260528"	17
48	"61_51-20260528"	18
49	"61_51-20260528"	19
50	"61_51-20260528"	20
51	"61_51-20260528"	21

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"	"PC \"IKI\""	262

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.
"20260614"	"20220401"	"20260615"

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