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 529 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.
"350056"	250740	3.662	174	250739	3.662	173	0.548780570293816
"350056"	250865	5.677	299	250864	5.677	298	0.44478040505395056
"350056"	251230	12.259	664	251229	12.259	663	0.11119510161714974
"350057"	251942	5.268	334	251941	5.268	333	0.6047032168849149
"350057"	252136	8.756	528	252135	8.756	527	0.11119510161714974
"350057"	252185	9.285	577	252184	9.285	576	0.6047032168849149
"350057"	252203	9.688	595	252202	9.688	594	0.34001980297454926
"350058"	252855	3.662	174	252854	3.662	173	0.548780570293816
"350058"	252980	5.677	299	252979	5.677	298	0.44478040505395056
"350058"	253255	10.739	574	253254	10.739	573	0.7405041679362544
"350058"	253423	13.432	742	253422	13.432	741	0.11119510161714974
"350059"	254135	5.268	334	254134	5.268	333	0.6047032168849149
"350059"	254407	9.929	606	254406	9.929	605	0.11119510161714974
"340007"	217560	3.83	217	217559	3.83	216	0.32162188040234485
"420003"	268785	1.903	143	268784	1.903	142	0.1608878772970525
"340001"	69281	3.83	217	69280	3.83	216	0.32162188040234485
"340002"	69649	4.628	288	69648	4.628	287	0.32162188040234485
"340005"	216164	1.443	75	216163	1.443	74	0.32162188040234485
"340005"	216211	1.973	122	216210	1.973	121	0.6861070338674651
"340006"	216563	3.349	181	216562	3.349	180	0.5995457335191644
"340003"	215806	3.349	181	215805	3.349	180	0.5995457335191644
"340004"	218087	4.628	288	218086	4.628	287	0.32162188040234485
"340004"	218214	7.373	415	218213	7.373	414	0.08040089608611303
"NVN10002"	177778	3.688	168	177777	3.688	167	0.13719486472864043
"NVN10002"	177905	6.23	295	177904	6.23	294	0.11119510090982554
"730010"	59737	5.224	355	59736	5.224	354	0.48248134240669016
"730010"	60169	14.499	787	60168	14.499	786	0.13716598748296643
"730010"	60251	16.046	869	60250	16.046	868	0.27431843388141114
"730010"	60393	17.57	1011	60392	17.57	1010	0.3398698302132036
"190153"	189995	14.281	767	189994	14.281	766	0.8721888863110178
"190151"	188555	10.828	555	188554	10.828	554	0.6534405143076695
"190151"	188793	15.711	793	188792	15.711	792	0.8895608094005769
"500037"	83838	0.203	27	83837	0.203	26	0.39107701661106814
"500037"	84071	4.077	260	84070	4.077	259	0.32808894691819185
"190159"	193450	5.132	232	193449	5.132	231	0.7825011362252215
"190159"	193717	9.697	499	193716	9.697	498	0.945773815486342
"190159"	194009	15.21	791	194008	15.21	790	0.9215635295054373
"190158"	192976	7.708	430	192975	7.708	429	0.7825011362252215
"190158"	193017	8.385	471	193016	8.385	470	0.3908340197771569
"190158"	193057	9.302	511	193056	9.302	510	0.1954314536805614
"190157"	192361	7.708	430	192360	7.708	429	0.7825011362252215
"190157"	192402	8.385	471	192401	8.385	470	0.3908340197771569
"190157"	192442	9.302	511	192441	9.302	510	0.1954314536805614
"190156"	191317	10.828	555	191316	10.828	554	0.6534405143076695
"190156"	191555	15.711	793	191554	15.711	792	0.8895608094005769
"7440001"	101174	49.174	1903	101173	49.174	1902	0.3430546367384345
"190155"	190573	1.801	125	190572	1.801	124	0.686247322324616
"190155"	190660	3.483	212	190659	3.483	211	0.1954314536805614
"900007"	277693	16.176	899	277692	16.176	898	0.3430193812789021
"900007"	278275	24.402	1481	278274	24.402	1480	0.8299607688746762

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 7664 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`.
"110028"	165760	0.318	17	165759	0.318	16
"110028"	165780	0.753	37	165779	0.753	36
"110028"	165786	0.904	43	165785	0.904	42
"110028"	165798	1.177	55	165797	1.177	54
"110028"	165805	1.378	62	165804	1.378	61
"110028"	165814	1.739	71	165813	1.739	70
"110028"	165820	1.964	77	165819	1.964	76
"110028"	165831	2.391	88	165830	2.391	87
"110028"	165841	2.618	98	165840	2.618	97
"110028"	165851	2.901	108	165850	2.901	107
"110028"	165862	3.32	119	165861	3.32	118
"110028"	165871	3.684	128	165870	3.684	127
"110028"	165894	4.237	151	165893	4.237	150
"110028"	165917	4.636	174	165916	4.636	173
"110028"	165925	4.798	182	165924	4.798	181
"110028"	165943	5.142	200	165942	5.142	199
"110028"	165954	5.377	211	165953	5.377	210
"110028"	165973	5.658	230	165972	5.658	229
"110028"	165985	5.837	242	165984	5.837	241
"110028"	166000	6.035	257	165999	6.035	256
"110028"	166009	6.292	266	166008	6.292	265
"110028"	166020	6.592	277	166019	6.592	276
"110028"	166044	6.898	301	166043	6.898	300
"110026"	165459	0.318	17	165458	0.318	16
"110026"	165479	0.753	37	165478	0.753	36
"110026"	165485	0.904	43	165484	0.904	42
"110026"	165497	1.177	55	165496	1.177	54
"110026"	165504	1.378	62	165503	1.378	61
"110026"	165513	1.739	71	165512	1.739	70
"110026"	165519	1.964	77	165518	1.964	76
"110026"	165530	2.391	88	165529	2.391	87
"110026"	165540	2.618	98	165539	2.618	97
"110026"	165550	2.901	108	165549	2.901	107
"110026"	165561	3.32	119	165560	3.32	118
"110026"	165570	3.684	128	165569	3.684	127
"110026"	165593	4.237	151	165592	4.237	150
"110026"	165616	4.636	174	165615	4.636	173
"110026"	165624	4.798	182	165623	4.798	181
"110026"	165642	5.142	200	165641	5.142	199
"110026"	165653	5.377	211	165652	5.377	210
"110026"	165672	5.658	230	165671	5.658	229
"110026"	165684	5.837	242	165683	5.837	241
"110026"	165699	6.035	257	165698	6.035	256
"110026"	165708	6.292	266	165707	6.292	265
"110026"	165719	6.592	277	165718	6.592	276
"350056"	250593	0.496	27	250592	0.496	26
"350056"	250617	0.982	51	250616	0.982	50
"350056"	250624	1.16	58	250623	1.16	57
"350056"	250641	1.572	75	250640	1.572	74
"350056"	250653	1.801	87	250652	1.801	86

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.

Only the first 50 of 425 affected records are displayed below.

csvRowNumber (?) The row of the faulty record.	serviceId (?) The service id of the faulty record.
2	"chouette:TimeTable:2479abf5-513f-4895-a668-bbea781c43ba:LOC"
3	"chouette:TimeTable:50776fd5-4d8a-41bd-995f-5d7e1a88599c:LOC"
4	"chouette:TimeTable:65b9473f-9d6a-47b3-aece-edfb5fc15bf7:LOC"
5	"chouette:TimeTable:1c0d2201-fefa-49b3-83ab-cc688bf48e10:LOC"
6	"chouette:TimeTable:6281917f-f913-47fa-8396-cd70046bf04f:LOC"
7	"chouette:TimeTable:e18fbf22-4b45-4b47-bd4b-8b6dd2c8e291:LOC"
8	"chouette:TimeTable:3338f5cd-4d9a-4a12-bf84-af519100fb7e:LOC"
9	"chouette:TimeTable:cb934c97-0601-4d9a-8dcb-3cb53ef80ac4:LOC"
10	"chouette:TimeTable:49cc8e2c-dde1-4bcb-8bda-871776036edd:LOC"
11	"chouette:TimeTable:280ded63-5f82-405f-aaca-1c8fb5b66520:LOC"
12	"chouette:TimeTable:c96615d4-ac1e-43ca-9c9c-def202bab6df:LOC"
13	"PVS2024-25-L2-Semaine-05-L2"
14	"chouette:TimeTable:39701904-b5b1-4027-aeec-96997e20d1b5:LOC"
15	"chouette:TimeTable:d18c5c5c-1cb8-469b-af6a-b49cc8d1017f:LOC"
16	"chouette:TimeTable:83939d5e-e8b0-42a7-be36-d52ee11e32bb:LOC"
17	"chouette:TimeTable:a168f76e-4973-4342-afcc-9423e2a543c5:LOC"
18	"chouette:TimeTable:6a0dacf8-160e-4f69-9e0b-b239dadfac3d:LOC"
19	"chouette:TimeTable:966e359a-87bf-4ae7-9f88-9ad0075acd67:LOC"
20	"chouette:TimeTable:a29e772e-5e9a-4209-b521-fee7c77d308f:LOC"
21	"chouette:TimeTable:be6f5445-9d1d-44a9-8084-061ea17bec97:LOC"
22	"chouette:TimeTable:e49a6a31-ad20-4439-a2f6-5ea30f055c61:LOC"
23	"chouette:TimeTable:1a1db80f-a201-4ef3-9a84-223b2dbbfd77:LOC"
24	"chouette:TimeTable:eea9ed07-2017-48fc-b9e7-d7cb66659332:LOC"
25	"chouette:TimeTable:68e406d1-4dd2-4d20-b664-17fd9608d607:LOC"
26	"chouette:TimeTable:8324f8e2-6496-40e3-9660-4791988c862e:LOC"
27	"PVS2024-25-B-Semaine-05-B"
28	"chouette:TimeTable:4e3cc087-667f-466c-99a4-95ec1e3b1b3c:LOC"
29	"chouette:TimeTable:4bd11650-8fd3-4128-b7d9-b1bfa5296b48:LOC"
30	"chouette:TimeTable:962b53c4-f59b-4984-bad5-d0cb3be51a1a:LOC"
31	"chouette:TimeTable:473a9c91-63d6-4be4-913d-f8024257e792:LOC"
32	"chouette:TimeTable:b0ffbfa0-06d4-42fc-a82e-5c34ace6ae57:LOC"
33	"chouette:TimeTable:95232df3-0c60-4bf3-a5c6-383d60bfd941:LOC"
34	"chouette:TimeTable:7d16f776-aa98-4871-adef-f9d4fb8ae80d:LOC"
35	"JANV2025-L3-Dimanche-03-L3"
36	"PVS2024-25-L3-Semaine-06-L3"
37	"chouette:TimeTable:31d2e056-0ea0-497f-bf06-3ab3da05f71f:LOC"
38	"JANV2025-05-Samedi-34-05"
39	"JANV2025-38-Samedi-38-38"
40	"chouette:TimeTable:4b30c373-488e-4c2f-bcdf-404b850d0e14:LOC"
41	"RESEAU2023-62-Semaine-17-62"
42	"chouette:TimeTable:068b5d34-fadc-4030-98da-05ee2d0f1f9c:LOC"
43	"PVS2024-25-L3-Semaine-05-L3"
44	"chouette:TimeTable:6a4c2d5e-3359-4d62-9567-3b889c51bf5f:LOC"
45	"chouette:TimeTable:e2ac887b-5b24-4410-a935-395093ee28f2:LOC"
46	"chouette:TimeTable:dbd38214-9aef-41fd-bee0-4900cf114d1a:LOC"
47	"chouette:TimeTable:8d616509-7361-488b-908a-05472d963aa8:LOC"
48	"PVS2024-25-L2-Semaine-06-L2"
49	"chouette:TimeTable:b255bcac-224c-40d0-ba13-d08eab4aae7e:LOC"
50	"SEPT2024-L1-Dimanche-51-L1"
51	"PVS2024-25-L1-Semaine-41-L1"

feed_expiration_date7_days

Dataset should be valid for at least the next 7 days.

The dataset expiration date defined in feed_info.txt is in seven days or less. At any time, the published GTFS dataset should be valid for at least the next 7 days.

You can see more about this notice here.

csvRowNumber (?) The row number of the faulty record.	currentDate (?) Current date (YYYYMMDD format).	feedEndDate (?) Feed end date (YYYYMMDD format).	suggestedExpirationDate (?) Suggested expiration date (YYYYMMDD format).
2	"20260124"	"20250703"	"20260131"

missing_feed_contact_email_and_url

Best Practices for feed_info.txt suggest providing at least one of feed_contact_email and feed_contact_url.

You can see more about this notice here.

csvRowNumber (?) The row number of the validated record.
2

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.
"feed_info.txt"	2	"feed_version"

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 2890 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.
"stops.txt"	"stop_name"	"JEAN NATALE"	3023
"trips.txt"	"trip_headsign"	"HOPITAL PASTEUR"	2233
"trips.txt"	"trip_headsign"	"GUSTAVIN / PARC VIGIER"	2261
"trips.txt"	"trip_headsign"	"GUSTAVIN / PARC VIGIER"	2262
"trips.txt"	"trip_headsign"	"LYCEE MASSENA"	2374
"trips.txt"	"trip_headsign"	"LYCEE MASSENA"	2375
"trips.txt"	"trip_headsign"	"HOPITAL PASTEUR"	2409
"trips.txt"	"trip_headsign"	"HOPITAL PASTEUR"	2410
"trips.txt"	"trip_headsign"	"HOPITAL PASTEUR"	2669
"trips.txt"	"trip_headsign"	"HOPITAL PASTEUR"	2728
"trips.txt"	"trip_headsign"	"HOPITAL PASTEUR"	2752
"trips.txt"	"trip_headsign"	"LYCEE MASSENA"	3014
"trips.txt"	"trip_headsign"	"LYCEE MASSENA"	3015
"trips.txt"	"trip_headsign"	"GUSTAVIN / PARC VIGIER"	3090
"trips.txt"	"trip_headsign"	"GUSTAVIN / PARC VIGIER"	3091
"trips.txt"	"trip_headsign"	"HOPITAL PASTEUR"	3148
"trips.txt"	"trip_headsign"	"HOPITAL PASTEUR"	3159
"trips.txt"	"trip_headsign"	"HOPITAL PASTEUR"	3160
"trips.txt"	"trip_headsign"	"HOPITAL PASTEUR"	3220
"trips.txt"	"trip_headsign"	"HOPITAL PASTEUR"	3223
"trips.txt"	"trip_headsign"	"HOPITAL PASTEUR"	3224
"trips.txt"	"trip_headsign"	"LYCEE MASSENA"	3309
"trips.txt"	"trip_headsign"	"LYCEE MASSENA"	3310
"trips.txt"	"trip_headsign"	"HOPITAL PASTEUR"	3344
"trips.txt"	"trip_headsign"	"HOPITAL PASTEUR"	3345
"trips.txt"	"trip_headsign"	"LYCEE MASSENA"	3415
"trips.txt"	"trip_headsign"	"LYCEE MASSENA"	3416
"trips.txt"	"trip_headsign"	"GUSTAVIN / PARC VIGIER"	3469
"trips.txt"	"trip_headsign"	"GUSTAVIN / PARC VIGIER"	3470
"trips.txt"	"trip_headsign"	"HOPITAL PASTEUR"	3523
"trips.txt"	"trip_headsign"	"GUSTAVIN / PARC VIGIER"	3570
"trips.txt"	"trip_headsign"	"GUSTAVIN / PARC VIGIER"	3571
"trips.txt"	"trip_headsign"	"GUSTAVIN / PARC VIGIER"	3631
"trips.txt"	"trip_headsign"	"GUSTAVIN / PARC VIGIER"	3632
"trips.txt"	"trip_headsign"	"HOPITAL PASTEUR"	3747
"trips.txt"	"trip_headsign"	"HOPITAL PASTEUR"	3748
"trips.txt"	"trip_headsign"	"HOPITAL PASTEUR"	3813
"trips.txt"	"trip_headsign"	"HOPITAL PASTEUR"	3814
"trips.txt"	"trip_headsign"	"HOPITAL PASTEUR"	3861
"trips.txt"	"trip_headsign"	"HOPITAL PASTEUR"	3862
"trips.txt"	"trip_headsign"	"LYCEE MASSENA"	3977
"trips.txt"	"trip_headsign"	"LYCEE MASSENA"	3978
"trips.txt"	"trip_headsign"	"HOPITAL PASTEUR"	4025
"trips.txt"	"trip_headsign"	"HOPITAL PASTEUR"	4026
"trips.txt"	"trip_headsign"	"HOPITAL PASTEUR"	4100
"trips.txt"	"trip_headsign"	"HOPITAL PASTEUR"	4101
"trips.txt"	"trip_headsign"	"LYCEE MASSENA"	4190
"trips.txt"	"trip_headsign"	"LYCEE MASSENA"	4191
"trips.txt"	"trip_headsign"	"HOPITAL PASTEUR"	4511
"trips.txt"	"trip_headsign"	"HOPITAL PASTEUR"	4512

route_color_contrast

Insufficient route color contrast.

A route's color and route_text_color should be contrasting.

You can see more about this notice here.

routeId (?) The id of the faulty record.	csvRowNumber (?) The row number of the faulty record.	routeColor (?) The faulty record's HTML route color.	routeTextColor (?) The faulty record's HTML route text color.
"NVDU"	101	"#F5D706"	"#FFFFFF"

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.
4840	"ISO0001"	"5660981-ISO_A_1_7_17:20-PROJET2024-ISO-Semaine-03-0000100"	156388	"2686"	"Vauban"	[44.18673100000001,7.157653999999998]	54151.993635767576
4840	"ISO0001"	"5660981-ISO_A_1_7_17:20-PROJET2024-ISO-Semaine-03-0000100"	156390	"2892"	"Grand Arénas"	[44.18673100000001,7.157653999999998]	57828.33354345714
4840	"ISO0001"	"5660981-ISO_A_1_7_17:20-PROJET2024-ISO-Semaine-03-0000100"	156392	"1521"	"Robini"	[44.18673100000001,7.157653999999998]	56134.49733383842
4840	"ISO0001"	"5660981-ISO_A_1_7_17:20-PROJET2024-ISO-Semaine-03-0000100"	156394	"6019"	"Colomars La Manda"	[44.18673100000001,7.157653999999998]	47136.84956829244
4840	"ISO0001"	"5660981-ISO_A_1_7_17:20-PROJET2024-ISO-Semaine-03-0000100"	156396	"7147"	"Plan du Var"	[44.18673100000001,7.157653999999998]	36639.734300049866
4840	"ISO0001"	"5660981-ISO_A_1_7_17:20-PROJET2024-ISO-Semaine-03-0000100"	156398	"21392"	"La Tour-sur -Tinée - Gare"	[44.18673100000001,7.157653999999998]	27592.194398734806
4840	"ISO0001"	"5660981-ISO_A_1_7_17:20-PROJET2024-ISO-Semaine-03-0000100"	156400	"21398"	"Saint-Sauveur-sur-Tinée"	[44.18673100000001,7.157653999999998]	12230.853877854866
4840	"ISO0001"	"5660981-ISO_A_1_7_17:20-PROJET2024-ISO-Semaine-03-0000100"	156402	"21400"	"Isola Village"	[44.18673100000001,7.157653999999998]	8324.540224694485
4521	"ISO0002"	"5660982-ISO_R_2_6_16:50-PROJET2024-ISO-Semaine-03-0000100"	156408	"21402"	"Isola 2000 Les Hameaux"	[43.76815200000001,7.332033000000002]	48619.28057508795
4521	"ISO0002"	"5660982-ISO_R_2_6_16:50-PROJET2024-ISO-Semaine-03-0000100"	156410	"21667"	"Isola 2000 Station"	[43.76815200000001,7.332033000000002]	48639.77327577932
4521	"ISO0002"	"5660982-ISO_R_2_6_16:50-PROJET2024-ISO-Semaine-03-0000100"	156412	"21403"	"Isola Village"	[43.76815200000001,7.332033000000002]	51510.56666406557
4521	"ISO0002"	"5660982-ISO_R_2_6_16:50-PROJET2024-ISO-Semaine-03-0000100"	156414	"21408"	"Saint-Sauveur-sur-Tinée"	[43.76815200000001,7.332033000000002]	39397.782421940145
4521	"ISO0002"	"5660982-ISO_R_2_6_16:50-PROJET2024-ISO-Semaine-03-0000100"	156416	"21415"	"La Tour-sur -Tinée - Gare"	[43.76815200000001,7.332033000000002]	23228.675922392304
4521	"ISO0002"	"5660982-ISO_R_2_6_16:50-PROJET2024-ISO-Semaine-03-0000100"	156418	"1560"	"Plan du Var"	[43.76815200000001,7.332033000000002]	14771.02520800677
4521	"ISO0002"	"5660982-ISO_R_2_6_16:50-PROJET2024-ISO-Semaine-03-0000100"	156420	"6020"	"Colomars La Manda"	[43.725573620605566,7.299212914264266]	8697.67096895369
4521	"ISO0002"	"5660982-ISO_R_2_6_16:50-PROJET2024-ISO-Semaine-03-0000100"	156422	"996"	"Palais Nikaïa"	[43.708567,7.286119]	7657.017292832536
4521	"ISO0002"	"5660982-ISO_R_2_6_16:50-PROJET2024-ISO-Semaine-03-0000100"	156424	"2892"	"Grand Arénas"	[43.708567,7.286119]	7517.583834555252

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.
"20260124"	"20250404"	"20250419"

unexpected_enum_value

An enum has an unexpected value.

You can see more about this notice here.

filename (?) The name of the faulty file.	csvRowNumber (?) The row number of the faulty record.	fieldName (?) The name of the field where the error occurred.	fieldValue (?) Faulty value.
"routes.txt"	78	"route_type"	715
"routes.txt"	79	"route_type"	715
"routes.txt"	80	"route_type"	715
"routes.txt"	81	"route_type"	715
"routes.txt"	82	"route_type"	715
"routes.txt"	83	"route_type"	715
"routes.txt"	84	"route_type"	715