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Source Data Validation Report

tte-extraurbano — Source Data Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-04-17T10:45:29Z,
for the dataset file:///shared/tte-extraurbano_d2354ddc.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included

Trentino trasporti S.p.A.
- website: https://www.trentinotrasporti.it/
- phone number: +39 0461 821000
- email: Not provided

Feed Info

Publisher Name:
Trentino trasporti S.p.A.: Publisher URL:
http://www.trentinotrasporti.it/: Feed Email:
info@trentinotrasporti.it: Feed Language:
Italian: Feed Start Date:
2022-12-03: Feed End Date:
2026-06-26: Service Window:
2025-06-28 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
feed_info.txt
routes.txt
stop_times.txt
stops.txt
stopslevel.txt
transfers.txt
trips.txt

Counts

Agencies: 1
Blocks: 0
Routes: 144
Shapes: 0
Stops: 2944
Trips: 5620

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

Transfers Feed Information Headsigns

Specification Compliance report

57 notices reported (0 errors, 56 warnings, 1 infos)

Notice Code Severity Total

duplicate_route_name WARNING 1

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`.
35	"138"	74	"290"	"B404"	"Baselga di Pinè - Faida"	3	"12"

expired_calendar WARNING 54

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 54 affected records are displayed below.

csvRowNumber (?) The row of the faulty record.	serviceId (?) The service id of the faulty record.
2	"0000000012025062820250831"
3	"0000000012025062820250909"
4	"0000000012025070120250830"
5	"0000000012025070120250831"
6	"0000000012025082120250909"
8	"0000000012025122320260106"
9	"0000000022025062820250831"
10	"0000000022025062820250909"
11	"0000000022025062920250909"
12	"0000000022025070120250909"
13	"0000000022025072320250909"
14	"0000000022025072820250909"
15	"0000000022025072920250909"
16	"0000000022025073020250909"
17	"0000000022025073120250909"
18	"0000000022025080520250909"
19	"0000000022025081320250909"
20	"0000000022025082120250909"
21	"0000000022025082520250909"
22	"0000000022025082620250909"
23	"0000000022025091020251207"
25	"0000000022025122320260316"
27	"0000000042025062820250909"
28	"0000000042025072920250909"
29	"0000000042025073020250909"
30	"0000000042025081320250909"
34	"0000000072025062820250831"
35	"0000000072025062820250909"
36	"0000000072025070120250909"
37	"0000000072025071820250909"
38	"0000000072025071920250909"
39	"0000000072025073020250909"
40	"0000000072025080520250909"
41	"0000000072025081320250909"
42	"0000000072025091020251225"
44	"0000000072025122120260321"
45	"0000000072025122120260322"
46	"0000000072025122620260322"
53	"0000000392025062820250909"
54	"0000000402025062820250909"
56	"0000000412025062820250909"
58	"0000000502025062820250909"
61	"0000004512025062820250909"
62	"0000004512025081320250909"
64	"0000005552025062820250909"
67	"0000005902025122320260214"
68	"0000005902025122420260214"
70	"0000006202025120820260315"
71	"0000006212025120820260315"
72	"0000006222025120820260315"

mixed_case_recommended_field WARNING 1

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.
"routes.txt"	"route_long_name"	"FERROVIA TRENTO - MALE' - MEZZANA"	93

unknown_file INFO 1

unknown_file

A file is unknown.

You can see more about this notice here.

filename (?) The name of the unknown file.
"stopslevel.txt"