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Source Data Validation Report

omitsju — Source Data Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-03-28T00:16:08Z,
for the dataset file:///shared/omitsju_cca78cb7.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included

exo-Sainte-Julie
- website: https://exo.quebec/fr/planifier-trajet/autobus/OMITSJU
- phone number:
- email: Not provided

Feed Info

Publisher Name:
OMITSJU: Publisher URL:
https://exo.quebec/fr/planifier-trajet/autobus/OMITSJU: Feed Email:
N/A: Feed Language:
French: Feed Start Date:
2025-12-01: Feed End Date:
2026-06-21: Service Window:
2025-12-01 to 2026-06-21 (?) The range of service dates covered by the feed, based on trips with an associated service_id in calendar.txt and/or calendar_dates.txt

Files included

agency.txt
calendar.txt
calendar_dates.txt
fare_attributes.txt
fare_rules.txt
feed_info.txt
routes.txt
shapes.txt
stop_times.txt
stops.txt
trips.txt

Counts

Agencies: 1
Blocks: 0
Routes: 14
Shapes: 29
Stops: 232
Trips: 1569

GTFS Features included (?) GTFS features provide a standardized vocabulary to define and describe features that are officially adopted in GTFS.

ShapesFeed InformationFares V1Route ColorsHeadsignsStops Wheelchair AccessibilityTrips Wheelchair AccessibilityBike Allowed

Specification Compliance report

14801 notices reported (0 errors, 14800 warnings, 1 infos)

Notice Code Severity Total

equal_shape_distance_diff_coordinates_distance_below_threshold WARNING 42

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.
"300116"	2200	4.722	80002	2199	4.722	80001	0.6606275196109114
"300116"	2386	20.248	90170	2385	20.248	90169	0.3890304683391971
"300116"	2482	30.393	90266	2481	30.393	90265	0.07781834480550653
"300119"	3685	14.635	10184	3684	14.635	10183	0.31122620362263326
"300119"	3705	16.537	10204	3704	16.537	10203	0.6323019150299892
"3400079"	7847	1.269	10064	7846	1.269	10063	0.07782621562766646
"3500020"	8693	1.269	10064	8692	1.269	10063	0.07782621562766646
"3500020"	8733	7.123	10104	8732	7.123	10103	0.15568040903945352
"300117"	2745	14.635	10184	2744	14.635	10183	0.31122620362263326
"300117"	2765	16.537	10204	2764	16.537	10203	0.6323019150299892
"300118"	3140	4.722	90002	3139	4.722	90001	0.6606275196109114
"300118"	3326	20.248	100170	3325	20.248	100169	0.3890304683391971
"300118"	3422	30.393	100266	3421	30.393	100265	0.07781834480550653
"6000041"	9066	1.25	10063	9065	1.25	10062	0.07782621562766646
"40105"	1012	0.716	20003	1011	0.716	20002	0.13572144879881387
"40105"	1251	8.965	310007	1250	8.965	310006	0.5023235063728486
"40105"	1255	8.976	310011	1254	8.976	310010	0.11119510090982554
"40105"	1275	9.307	310031	1274	9.307	310030	0.13572144879881387
"T330008"	12214	26.679	180048	12213	26.679	180047	0.11119510090982554
"T330008"	12234	27.009	180068	12233	27.009	180067	0.13572144879881387
"T330007"	10708	0.721	10017	10707	0.721	10016	0.13572144879881387
"T330007"	11177	16.867	130052	11176	16.867	130051	0.11119510161714974
"T330007"	11363	21.055	160024	11362	21.055	160023	0.5613888147556814
"3300021"	6632	1.269	10064	6631	1.269	10063	0.07782621562766646
"3300021"	6672	7.123	10104	6671	7.123	10103	0.15568040903945352
"T340010"	12825	3.751	50021	12824	3.751	50020	0.25854518390385145
"80100"	1752	3.97	110014	1751	3.97	110013	0.32244938270065654
"80100"	1876	7.822	250002	1875	7.822	250001	0.2585143446297651
"80100"	2040	13.014	420026	2039	13.014	420025	0.11119510090982554
"80100"	2047	13.049	420033	2046	13.049	420032	0.3681051702760065
"80100"	2055	13.213	430008	2054	13.213	430007	0.3335853034368008
"T320008"	9898	2.971	70002	9897	2.971	70001	0.7350561854980839
"T320009"	10504	9.809	80008	10503	9.809	80007	0.45153858638461986
"3250054"	4417	1.269	10064	4416	1.269	10063	0.07782621562766646
"3250054"	4457	7.123	10104	4456	7.123	10103	0.15568040903945352
"3250058"	5248	1.269	10064	5247	1.269	10063	0.07782621562766646
"3250058"	5288	7.123	10104	5287	7.123	10103	0.15568040903945352
"3250059"	5761	1.269	10064	5760	1.269	10063	0.07782621562766646
"3250059"	5801	7.123	10104	5800	7.123	10103	0.15568040903945352
"50162"	1373	1.654	50008	1372	1.654	50007	0.25859133430097436
"T340009"	12263	0.721	10017	12262	0.721	10016	0.13572144879881387
"T340009"	12609	13.55	140012	12608	13.55	140011	0.25854518390385145

equal_shape_distance_same_coordinates WARNING 354

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 354 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`.
"6000042"	9766	22.592	20001	9765	22.592	10347
"300116"	2101	0.918	20001	2100	0.918	10021
"300116"	2112	1.563	30001	2111	1.563	20011
"300116"	2127	2.575	40001	2126	2.575	30015
"300116"	2140	3.185	50001	2139	3.185	40013
"300116"	2160	3.568	60001	2159	3.568	50020
"300116"	2180	4.133	70001	2179	4.133	60020
"300116"	2199	4.722	80001	2198	4.722	70019
"300116"	2217	5.311	90001	2216	5.311	80018
"300119"	3818	28.951	20001	3817	28.951	10316
"300119"	3833	29.51	30001	3832	29.51	20015
"300119"	3855	30.134	40001	3854	30.134	30022
"300119"	3876	30.729	50001	3875	30.729	40021
"300119"	3896	31.093	60001	3895	31.093	50020
"300119"	3907	31.665	70001	3906	31.665	60011
"300119"	3924	32.714	80001	3923	32.714	70017
"300119"	3932	33.066	90001	3931	33.066	80008
"300119"	3937	33.354	100001	3936	33.354	90005
"3400078"	7459	14.407	20001	7458	14.407	10335
"3400078"	7477	14.792	30001	7476	14.792	20018
"3400078"	7754	27.613	40001	7753	27.613	30277
"3400079"	8050	13.691	20001	8049	13.691	10266
"3400079"	8068	14.076	30001	8067	14.076	20018
"300117"	2878	28.951	20001	2877	28.951	10316
"300117"	2893	29.51	30001	2892	29.51	20015
"300117"	2915	30.134	40001	2914	30.134	30022
"300117"	2936	30.729	50001	2935	30.729	40021
"300117"	2956	31.093	60001	2955	31.093	50020
"300117"	2967	31.665	70001	2966	31.665	60011
"300117"	2984	32.714	80001	2983	32.714	70017
"300117"	2995	33.354	90001	2994	33.354	80011
"300118"	3039	0.918	20001	3038	0.918	10021
"300118"	3043	1.194	30001	3042	1.194	20004
"300118"	3052	1.563	40001	3051	1.563	30009
"300118"	3067	2.575	50001	3066	2.575	40015
"300118"	3080	3.185	60001	3079	3.185	50013
"300118"	3100	3.568	70001	3099	3.568	60020
"300118"	3120	4.133	80001	3119	4.133	70020
"300118"	3139	4.722	90001	3138	4.722	80019
"300118"	3157	5.311	100001	3156	5.311	90018
"40105"	1010	0.631	20001	1009	0.631	10041
"40105"	1022	1.013	30001	1021	1.013	20012
"40105"	1039	1.41	40001	1038	1.41	30017
"40105"	1045	1.928	50001	1044	1.928	40006
"40105"	1048	2.148	60001	1047	2.148	50003
"40105"	1051	2.265	70001	1050	2.265	60003
"40105"	1059	2.512	80001	1058	2.512	70008
"40105"	1064	2.898	90001	1063	2.898	80005
"40105"	1071	3.071	100001	1070	3.071	90007
"40105"	1074	3.35	110001	1073	3.35	100003

expired_calendar WARNING 5

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	"SJU-A25-SJU_GTFS-Semaine-01"
3	"SJU-A25-SJU_GTFS-Semaine-01-0001100"
6	"SJU-A25-SJU_GTFS-Fête-1-01"
8	"SJU-A25-SJU_GTFS-Week-end-01"
10	"SJU-A25-SJU_GTFS-Fête-2-01"

missing_feed_contact_email_and_url WARNING 1

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 WARNING 4

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"
"fare_attributes.txt"	2	"agency_id"
"fare_attributes.txt"	3	"agency_id"
"fare_attributes.txt"	4	"agency_id"

mixed_case_recommended_field WARNING 104

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 104 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.
"trips.txt"	"trip_headsign"	"secteur rural"	1408
"trips.txt"	"trip_headsign"	"secteur rural"	1409
"trips.txt"	"trip_headsign"	"secteur rural"	1410
"trips.txt"	"trip_headsign"	"secteur rural"	1411
"trips.txt"	"trip_headsign"	"secteur rural"	1412
"trips.txt"	"trip_headsign"	"secteur rural"	1413
"trips.txt"	"trip_headsign"	"secteur rural"	1414
"trips.txt"	"trip_headsign"	"secteur rural"	1415
"trips.txt"	"trip_headsign"	"secteur rural"	1416
"trips.txt"	"trip_headsign"	"secteur rural"	1417
"trips.txt"	"trip_headsign"	"secteur rural"	1418
"trips.txt"	"trip_headsign"	"secteur rural"	1419
"trips.txt"	"trip_headsign"	"secteur rural"	1420
"trips.txt"	"trip_headsign"	"secteur rural"	1421
"trips.txt"	"trip_headsign"	"secteur rural"	1422
"trips.txt"	"trip_headsign"	"secteur rural"	1423
"trips.txt"	"trip_headsign"	"secteur rural"	1424
"trips.txt"	"trip_headsign"	"secteur rural"	1425
"trips.txt"	"trip_headsign"	"secteur rural"	1426
"trips.txt"	"trip_headsign"	"secteur rural"	1427
"trips.txt"	"trip_headsign"	"secteur rural"	1428
"trips.txt"	"trip_headsign"	"secteur rural"	1429
"trips.txt"	"trip_headsign"	"secteur rural"	1430
"trips.txt"	"trip_headsign"	"secteur rural"	1431
"trips.txt"	"trip_headsign"	"secteur rural"	1432
"trips.txt"	"trip_headsign"	"secteur rural"	1433
"trips.txt"	"trip_headsign"	"secteur rural"	1434
"trips.txt"	"trip_headsign"	"secteur rural"	1435
"trips.txt"	"trip_headsign"	"secteur rural"	1436
"trips.txt"	"trip_headsign"	"secteur rural"	1437
"trips.txt"	"trip_headsign"	"secteur rural"	1438
"trips.txt"	"trip_headsign"	"secteur rural"	1439
"trips.txt"	"trip_headsign"	"secteur rural"	1440
"trips.txt"	"trip_headsign"	"secteur rural"	1441
"trips.txt"	"trip_headsign"	"secteur rural"	1442
"trips.txt"	"trip_headsign"	"secteur rural"	1443
"trips.txt"	"trip_headsign"	"secteur rural"	1444
"trips.txt"	"trip_headsign"	"secteur rural"	1445
"trips.txt"	"trip_headsign"	"secteur rural"	1446
"trips.txt"	"trip_headsign"	"secteur rural"	1447
"trips.txt"	"trip_headsign"	"secteur rural"	1448
"trips.txt"	"trip_headsign"	"secteur rural"	1449
"trips.txt"	"trip_headsign"	"secteur rural"	1450
"trips.txt"	"trip_headsign"	"secteur rural"	1451
"trips.txt"	"trip_headsign"	"secteur rural"	1452
"trips.txt"	"trip_headsign"	"secteur rural"	1453
"trips.txt"	"trip_headsign"	"secteur rural"	1454
"trips.txt"	"trip_headsign"	"secteur rural"	1455
"trips.txt"	"trip_headsign"	"secteur rural"	1456
"trips.txt"	"trip_headsign"	"secteur rural"	1457

non_ascii_or_non_printable_char WARNING 14287

non_ascii_or_non_printable_char

Non ascii or non printable char in ID field.

A value of a field with type ID contains non ASCII or non printable characters. This is not recommended.

You can see more about this notice here.

Only the first 50 of 14287 affected records are displayed below.

filename (?) Name of the faulty file.	csvRowNumber (?) Row number of the faulty record.	columnName (?) Name of the column where the error occurred.	fieldValue (?) Faulty value.
"calendar.txt"	6	"service_id"	"SJU-A25-SJU_GTFS-Fête-1-01"
"calendar.txt"	7	"service_id"	"SJU-H26-SJU_GTFS-Fête-1-01"
"calendar.txt"	10	"service_id"	"SJU-A25-SJU_GTFS-Fête-2-01"
"calendar.txt"	11	"service_id"	"SJU-H26-SJU_GTFS-Fête-2-01"
"calendar_dates.txt"	28	"service_id"	"SJU-A25-SJU_GTFS-Fête-1-01"
"calendar_dates.txt"	29	"service_id"	"SJU-A25-SJU_GTFS-Fête-1-01"
"calendar_dates.txt"	30	"service_id"	"SJU-A25-SJU_GTFS-Fête-1-01"
"calendar_dates.txt"	31	"service_id"	"SJU-A25-SJU_GTFS-Fête-1-01"
"calendar_dates.txt"	32	"service_id"	"SJU-H26-SJU_GTFS-Fête-1-01"
"calendar_dates.txt"	33	"service_id"	"SJU-H26-SJU_GTFS-Fête-1-01"
"calendar_dates.txt"	34	"service_id"	"SJU-A25-SJU_GTFS-Fête-2-01"
"calendar_dates.txt"	35	"service_id"	"SJU-A25-SJU_GTFS-Fête-2-01"
"calendar_dates.txt"	36	"service_id"	"SJU-A25-SJU_GTFS-Fête-2-01"
"calendar_dates.txt"	37	"service_id"	"SJU-A25-SJU_GTFS-Fête-2-01"
"calendar_dates.txt"	38	"service_id"	"SJU-A25-SJU_GTFS-Fête-2-01"
"calendar_dates.txt"	39	"service_id"	"SJU-A25-SJU_GTFS-Fête-2-01"
"calendar_dates.txt"	40	"service_id"	"SJU-H26-SJU_GTFS-Fête-2-01"
"stop_times.txt"	268	"trip_id"	"3340535-SJU-A25-SJU_GTFS-Fête-2-01"
"stop_times.txt"	269	"trip_id"	"3340535-SJU-A25-SJU_GTFS-Fête-2-01"
"stop_times.txt"	270	"trip_id"	"3340535-SJU-A25-SJU_GTFS-Fête-2-01"
"stop_times.txt"	271	"trip_id"	"3340535-SJU-A25-SJU_GTFS-Fête-2-01"
"stop_times.txt"	272	"trip_id"	"3340535-SJU-A25-SJU_GTFS-Fête-2-01"
"stop_times.txt"	273	"trip_id"	"3340535-SJU-A25-SJU_GTFS-Fête-2-01"
"stop_times.txt"	274	"trip_id"	"3340535-SJU-A25-SJU_GTFS-Fête-2-01"
"stop_times.txt"	275	"trip_id"	"3340535-SJU-A25-SJU_GTFS-Fête-2-01"
"stop_times.txt"	276	"trip_id"	"3340535-SJU-A25-SJU_GTFS-Fête-2-01"
"stop_times.txt"	277	"trip_id"	"3340535-SJU-A25-SJU_GTFS-Fête-2-01"
"stop_times.txt"	278	"trip_id"	"3340535-SJU-A25-SJU_GTFS-Fête-2-01"
"stop_times.txt"	279	"trip_id"	"3340535-SJU-A25-SJU_GTFS-Fête-2-01"
"stop_times.txt"	280	"trip_id"	"3340535-SJU-A25-SJU_GTFS-Fête-2-01"
"stop_times.txt"	281	"trip_id"	"3340535-SJU-A25-SJU_GTFS-Fête-2-01"
"stop_times.txt"	282	"trip_id"	"3340535-SJU-A25-SJU_GTFS-Fête-2-01"
"stop_times.txt"	283	"trip_id"	"3340535-SJU-A25-SJU_GTFS-Fête-2-01"
"stop_times.txt"	284	"trip_id"	"3340535-SJU-A25-SJU_GTFS-Fête-2-01"
"stop_times.txt"	285	"trip_id"	"3340535-SJU-A25-SJU_GTFS-Fête-2-01"
"stop_times.txt"	286	"trip_id"	"3340535-SJU-A25-SJU_GTFS-Fête-2-01"
"stop_times.txt"	287	"trip_id"	"3340535-SJU-A25-SJU_GTFS-Fête-2-01"
"stop_times.txt"	288	"trip_id"	"3340535-SJU-A25-SJU_GTFS-Fête-2-01"
"stop_times.txt"	289	"trip_id"	"3340535-SJU-A25-SJU_GTFS-Fête-2-01"
"stop_times.txt"	290	"trip_id"	"3340535-SJU-A25-SJU_GTFS-Fête-2-01"
"stop_times.txt"	291	"trip_id"	"3340535-SJU-A25-SJU_GTFS-Fête-2-01"
"stop_times.txt"	292	"trip_id"	"3340535-SJU-A25-SJU_GTFS-Fête-2-01"
"stop_times.txt"	293	"trip_id"	"3340535-SJU-A25-SJU_GTFS-Fête-2-01"
"stop_times.txt"	294	"trip_id"	"3340535-SJU-A25-SJU_GTFS-Fête-2-01"
"stop_times.txt"	295	"trip_id"	"3340535-SJU-A25-SJU_GTFS-Fête-2-01"
"stop_times.txt"	296	"trip_id"	"3340535-SJU-H26-SJU_GTFS-Fête-2-01"
"stop_times.txt"	297	"trip_id"	"3340535-SJU-H26-SJU_GTFS-Fête-2-01"
"stop_times.txt"	298	"trip_id"	"3340535-SJU-H26-SJU_GTFS-Fête-2-01"
"stop_times.txt"	299	"trip_id"	"3340535-SJU-H26-SJU_GTFS-Fête-2-01"
"stop_times.txt"	300	"trip_id"	"3340535-SJU-H26-SJU_GTFS-Fête-2-01"

unexpected_enum_value WARNING 3

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"	13	"route_type"	1501
"routes.txt"	14	"route_type"	1501
"routes.txt"	15	"route_type"	1501

unknown_column INFO 1

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.
"stop_times.txt"	"platform_track"	10