Search
  1. Home
  2. United States Feeds
  3. usa-tarta
  4. Source Data Validation Report

usa-tarta — Source Data Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-05-22T15:41:55Z,
for the dataset file:///shared/usa-tarta_f1438f5c.zip. No country code was provided.

Use this report alongside our documentation.

A new version of the Canonical GTFS Schedule validator is available! Please update to get the latest/best validation results.

Summary

Agencies included

  • Toledo Area Regional Transit Authority

Feed Info

Publisher Name:
ETA Transit Systems
Publisher URL:
https://etatransit.com
Feed Email:
N/A
Feed Language:
English
Feed Start Date:
2026-01-01
Feed End Date:
2027-04-10

Files included

  1. agency.txt
  2. calendar.txt
  3. calendar_dates.txt
  4. fare_attributes.txt
  5. fare_rules.txt
  6. feed_info.txt
  7. frequencies.txt
  8. routes.txt
  9. shapes.txt
  10. stop_times.txt
  11. stops.txt
  12. transfers.txt
  13. trips.txt

Counts

  • Agencies: 1
  • Blocks: 136
  • Routes: 18
  • Shapes: 49
  • Stops: 1529
  • Trips: 1440

Specification Compliance report

124 notices reported (0 errors, 121 warnings, 3 infos)

Notice Code Severity Total
fast_travel_between_consecutive_stops WARNING 88

fast_travel_between_consecutive_stops

A transit vehicle moves too fast between two consecutive stops.

The speed threshold depends on route type:

Route type Description Threshold, km/h
0 Light rail 100
1 Subway 150
2 Rail 500
3 Bus 150
4 Ferry 80
5 Cable tram 30
6 Aerial lift 50
7 Funicular 50
11 Trolleybus 150
12 Monorail 150
- Unknown 200

You can see more about this notice here.

Only the first 50 of 88 affected records are displayed below.

tripCsvRowNumber (?) The row number of the problematic trip. tripId (?) `trip_id` of the problematic trip. routeId (?) `route_id` of the problematic trip. speedKph (?) Travel speed (km/h). distanceKm (?) Distance between stops (km). csvRowNumber1 (?) The row number of the first stop time. stopSequence1 (?) `stop_sequence` of the first stop. stopId1 (?) `stop_id` of the first stop. stopName1 (?) `stop_name` of the first stop. departureTime1 (?) `departure_time` of the first stop. csvRowNumber2 (?) The row number of the second stop time. stopSequence2 (?) `stop_sequence` of the second stop. stopId2 (?) `stop_id` of the second stop. stopName2 (?) `stop_name` of the second stop. arrivalTime2 (?) `arrival_time` of the second stop.
533 "861961773067467772" "0200" 235.2071804009697 0.06533532788915825 70759 1 "9002" "Promedica Wellness Layover No Pickup" "08:35:00" 70760 2 "9001" "Promedica Wellness IB" "08:35:01"
355 "862111773067467772" "0200" 235.2071804009697 0.06533532788915825 71749 1 "9002" "Promedica Wellness Layover No Pickup" "08:35:00" 71750 2 "9001" "Promedica Wellness IB" "08:35:01"
533 "861961773067467772" "0200" 1241.853418520667 0.3449592829224075 70760 2 "9001" "Promedica Wellness IB" "08:35:01" 70761 3 "2211" "Monroe & Corey Cove SE" "08:35:02"
355 "862111773067467772" "0200" 1241.853418520667 0.3449592829224075 71750 2 "9001" "Promedica Wellness IB" "08:35:01" 71751 3 "2211" "Monroe & Corey Cove SE" "08:35:02"
539 "862191773067467772" "0200" 235.2071804009697 0.06533532788915825 72277 1 "9002" "Promedica Wellness Layover No Pickup" "16:35:00" 72278 2 "9001" "Promedica Wellness IB" "16:35:01"
1078 "862041773067467772" "0200" 235.2071804009697 0.06533532788915825 71287 1 "9002" "Promedica Wellness Layover No Pickup" "16:35:00" 71288 2 "9001" "Promedica Wellness IB" "16:35:01"
539 "862191773067467772" "0200" 1241.853418520667 0.3449592829224075 72278 2 "9001" "Promedica Wellness IB" "16:35:01" 72279 3 "2211" "Monroe & Corey Cove SE" "16:35:02"
1078 "862041773067467772" "0200" 1241.853418520667 0.3449592829224075 71288 2 "9001" "Promedica Wellness IB" "16:35:01" 71289 3 "2211" "Monroe & Corey Cove SE" "16:35:02"
358 "862801773067467772" "0200" 235.2071804009697 0.06533532788915825 72607 1 "9002" "Promedica Wellness Layover No Pickup" "09:02:00" 72608 2 "9001" "Promedica Wellness IB" "09:02:01"
358 "862801773067467772" "0200" 1241.853418520667 0.3449592829224075 72608 2 "9001" "Promedica Wellness IB" "09:02:01" 72609 3 "2211" "Monroe & Corey Cove SE" "09:02:02"
353 "862051773067467772" "0200" 235.2071804009697 0.06533532788915825 71353 1 "9002" "Promedica Wellness Layover No Pickup" "17:35:00" 71354 2 "9001" "Promedica Wellness IB" "17:35:01"
1283 "862201773067467772" "0200" 235.2071804009697 0.06533532788915825 72343 1 "9002" "Promedica Wellness Layover No Pickup" "17:35:00" 72344 2 "9001" "Promedica Wellness IB" "17:35:01"
353 "862051773067467772" "0200" 1241.853418520667 0.3449592829224075 71354 2 "9001" "Promedica Wellness IB" "17:35:01" 71355 3 "2211" "Monroe & Corey Cove SE" "17:35:02"
1283 "862201773067467772" "0200" 1241.853418520667 0.3449592829224075 72344 2 "9001" "Promedica Wellness IB" "17:35:01" 72345 3 "2211" "Monroe & Corey Cove SE" "17:35:02"
534 "861991773067467772" "0200" 235.2071804009697 0.06533532788915825 70957 1 "9002" "Promedica Wellness Layover No Pickup" "11:35:00" 70958 2 "9001" "Promedica Wellness IB" "11:35:01"
356 "862141773067467772" "0200" 235.2071804009697 0.06533532788915825 71947 1 "9002" "Promedica Wellness Layover No Pickup" "11:35:00" 71948 2 "9001" "Promedica Wellness IB" "11:35:01"
534 "861991773067467772" "0200" 1241.853418520667 0.3449592829224075 70958 2 "9001" "Promedica Wellness IB" "11:35:01" 70959 3 "2211" "Monroe & Corey Cove SE" "11:35:02"
356 "862141773067467772" "0200" 1241.853418520667 0.3449592829224075 71948 2 "9001" "Promedica Wellness IB" "11:35:01" 71949 3 "2211" "Monroe & Corey Cove SE" "11:35:02"
1076 "861981773067467772" "0200" 235.2071804009697 0.06533532788915825 70891 1 "9002" "Promedica Wellness Layover No Pickup" "10:35:00" 70892 2 "9001" "Promedica Wellness IB" "10:35:01"
537 "862131773067467772" "0200" 235.2071804009697 0.06533532788915825 71881 1 "9002" "Promedica Wellness Layover No Pickup" "10:35:00" 71882 2 "9001" "Promedica Wellness IB" "10:35:01"
1076 "861981773067467772" "0200" 1241.853418520667 0.3449592829224075 70892 2 "9001" "Promedica Wellness IB" "10:35:01" 70893 3 "2211" "Monroe & Corey Cove SE" "10:35:02"
537 "862131773067467772" "0200" 1241.853418520667 0.3449592829224075 71882 2 "9001" "Promedica Wellness IB" "10:35:01" 71883 3 "2211" "Monroe & Corey Cove SE" "10:35:02"
351 "861941773067467772" "0200" 235.2071804009697 0.06533532788915825 70627 1 "9002" "Promedica Wellness Layover No Pickup" "06:35:00" 70628 2 "9001" "Promedica Wellness IB" "06:35:01"
1281 "862091773067467772" "0200" 235.2071804009697 0.06533532788915825 71617 1 "9002" "Promedica Wellness Layover No Pickup" "06:35:00" 71618 2 "9001" "Promedica Wellness IB" "06:35:01"
351 "861941773067467772" "0200" 1241.853418520667 0.3449592829224075 70628 2 "9001" "Promedica Wellness IB" "06:35:01" 70629 3 "2211" "Monroe & Corey Cove SE" "06:35:02"
1281 "862091773067467772" "0200" 1241.853418520667 0.3449592829224075 71618 2 "9001" "Promedica Wellness IB" "06:35:01" 71619 3 "2211" "Monroe & Corey Cove SE" "06:35:02"
1282 "862121773067467772" "0200" 235.2071804009697 0.06533532788915825 71815 1 "9002" "Promedica Wellness Layover No Pickup" "09:35:00" 71816 2 "9001" "Promedica Wellness IB" "09:35:01"
352 "861971773067467772" "0200" 235.2071804009697 0.06533532788915825 70825 1 "9002" "Promedica Wellness Layover No Pickup" "09:35:00" 70826 2 "9001" "Promedica Wellness IB" "09:35:01"
1282 "862121773067467772" "0200" 1241.853418520667 0.3449592829224075 71816 2 "9001" "Promedica Wellness IB" "09:35:01" 71817 3 "2211" "Monroe & Corey Cove SE" "09:35:02"
352 "861971773067467772" "0200" 1241.853418520667 0.3449592829224075 70826 2 "9001" "Promedica Wellness IB" "09:35:01" 70827 3 "2211" "Monroe & Corey Cove SE" "09:35:02"
1087 "862901773067467772" "0200" 235.2071804009697 0.06533532788915825 73201 1 "9002" "Promedica Wellness Layover No Pickup" "06:02:00" 73202 2 "9001" "Promedica Wellness IB" "06:02:01"
1087 "862901773067467772" "0200" 1241.853418520667 0.3449592829224075 73202 2 "9001" "Promedica Wellness IB" "06:02:01" 73203 3 "2211" "Monroe & Corey Cove SE" "06:02:02"
1079 "862071773067467772" "0200" 235.2071804009697 0.06533532788915825 71485 1 "9002" "Promedica Wellness Layover No Pickup" "19:35:00" 71486 2 "9001" "Promedica Wellness IB" "19:35:01"
1079 "862071773067467772" "0200" 1241.853418520667 0.3449592829224075 71486 2 "9001" "Promedica Wellness IB" "19:35:01" 71487 3 "2211" "Monroe & Corey Cove SE" "19:35:02"
1086 "862871773067467772" "0200" 235.2071804009697 0.06533532788915825 73069 1 "9002" "Promedica Wellness Layover No Pickup" "16:02:00" 73070 2 "9001" "Promedica Wellness IB" "16:02:01"
1086 "862871773067467772" "0200" 1241.853418520667 0.3449592829224075 73070 2 "9001" "Promedica Wellness IB" "16:02:01" 73071 3 "2211" "Monroe & Corey Cove SE" "16:02:02"
1285 "862861773067467772" "0200" 235.2071804009697 0.06533532788915825 73003 1 "9002" "Promedica Wellness Layover No Pickup" "15:02:00" 73004 2 "9001" "Promedica Wellness IB" "15:02:01"
1285 "862861773067467772" "0200" 1241.853418520667 0.3449592829224075 73004 2 "9001" "Promedica Wellness IB" "15:02:01" 73005 3 "2211" "Monroe & Corey Cove SE" "15:02:02"
1085 "862841773067467772" "0200" 235.2071804009697 0.06533532788915825 72871 1 "9002" "Promedica Wellness Layover No Pickup" "13:02:00" 72872 2 "9001" "Promedica Wellness IB" "13:02:01"
1085 "862841773067467772" "0200" 1241.853418520667 0.3449592829224075 72872 2 "9001" "Promedica Wellness IB" "13:02:01" 72873 3 "2211" "Monroe & Corey Cove SE" "13:02:02"
540 "862791773067467772" "0200" 235.2071804009697 0.06533532788915825 72541 1 "9002" "Promedica Wellness Layover No Pickup" "08:02:00" 72542 2 "9001" "Promedica Wellness IB" "08:02:01"
540 "862791773067467772" "0200" 1241.853418520667 0.3449592829224075 72542 2 "9001" "Promedica Wellness IB" "08:02:01" 72543 3 "2211" "Monroe & Corey Cove SE" "08:02:02"
1278 "862001773067467772" "0200" 235.2071804009697 0.06533532788915825 71023 1 "9002" "Promedica Wellness Layover No Pickup" "12:35:00" 71024 2 "9001" "Promedica Wellness IB" "12:35:01"
1080 "862151773067467772" "0200" 235.2071804009697 0.06533532788915825 72013 1 "9002" "Promedica Wellness Layover No Pickup" "12:35:00" 72014 2 "9001" "Promedica Wellness IB" "12:35:01"
1278 "862001773067467772" "0200" 1241.853418520667 0.3449592829224075 71024 2 "9001" "Promedica Wellness IB" "12:35:01" 71025 3 "2211" "Monroe & Corey Cove SE" "12:35:02"
1080 "862151773067467772" "0200" 1241.853418520667 0.3449592829224075 72014 2 "9001" "Promedica Wellness IB" "12:35:01" 72015 3 "2211" "Monroe & Corey Cove SE" "12:35:02"
1286 "862891773067467772" "0200" 235.2071804009697 0.06533532788915825 73135 1 "9002" "Promedica Wellness Layover No Pickup" "05:02:00" 73136 2 "9001" "Promedica Wellness IB" "05:02:01"
1286 "862891773067467772" "0200" 1241.853418520667 0.3449592829224075 73136 2 "9001" "Promedica Wellness IB" "05:02:01" 73137 3 "2211" "Monroe & Corey Cove SE" "05:02:02"
1084 "862811773067467772" "0200" 235.2071804009697 0.06533532788915825 72673 1 "9002" "Promedica Wellness Layover No Pickup" "10:02:00" 72674 2 "9001" "Promedica Wellness IB" "10:02:01"
1084 "862811773067467772" "0200" 1241.853418520667 0.3449592829224075 72674 2 "9001" "Promedica Wellness IB" "10:02:01" 72675 3 "2211" "Monroe & Corey Cove SE" "10:02:02"
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
mixed_case_recommended_field WARNING 2

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" "108th & 285th SW" 821
"stops.txt" "stop_name" "290th & 110th SE" 822
stop_without_stop_time WARNING 30

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.
28 "914" "Arlington & Atlantic SW"
31 "922" "Arlington & National NE"
32 "923" "Arlington & National SW"
34 "929" "Arlington & Toledo SE"
37 "932" "Arlington & Wright NE"
38 "934" "Arlington & Wylie NE"
433 "2118" "Main & Ravine NE"
709 "3508" "Monroe & River Crossing SE"
787 "2217" "Monroe & Corey NW"
825 "3506" "Monroe & Huntington N"
867 "3605" "Harroun & Arrowhead SW"
910 "212" "St. Joe Catholic Church"
945 "2113" "Main & Convent SW"
994 "3507" "Main & Monroe SW"
1173 "0928" "Arlington & Detroit NE"
1189 "3504" "Monroe & Harroun SW"
1190 "2202" "Monroe & Acres S"
1273 "2235" "Monroe & Glasgow SW"
1287 "2216" "ProMedica Wellness N"
1310 "1313" "Convent & Spring NE"
1311 "3680" "Ravine & Harroun SW"
1312 "2116" "Main & Ian Cove NE"
1313 "10002" "Convent & Railroad SW"
1315 "577" "Lourdes University East"
1326 "3505" "Monroe & Glasgow NW"
1364 "3470" "Main & Monroe SE"
1444 "2112" "Main & Convent NE"
1519 "9991" "Test Stop 1-YARD"
1520 "9993" "Test Stop 3-YARD"
1521 "9992" "Test Stop 2-YARD"
unknown_column INFO 3

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.
"calendar.txt" "service_name" 11
"trips.txt" "block_service_id" 11
"trips.txt" "block_name" 12