GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-05-09T15:35:40Z,
for the dataset file:///shared/auburn-university_a3c1ff36.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


Feed Info


Publisher Name:
ETA Transit Systems
Publisher URL:
https://etatransit.com
Feed Email:
N/A
Feed Language:
English
Feed Start Date:
2018-08-07
Feed End Date:
2028-08-15

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: 40
  • Routes: 27
  • Shapes: 77
  • Stops: 187
  • Trips: 671

Specification Compliance report

58 notices reported (0 errors, 55 warnings, 3 infos)

Notice Code Severity Total
expired_calendar WARNING 1

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.
3 "144"
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
stop_without_stop_time WARNING 53

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.

Only the first 50 of 53 affected records are displayed below.

csvRowNumber (?) The row number of the faulty record. stopId (?) The id of the faulty stop. stopName (?) The name of the faulty stop.
2 "238" "Auburn Softball Complex"
3 "240" "Duck Samford Park"
6 "4" "Tiger Town Kroger"
7 "9" "Sanders St & Drake Ave (OB)"
8 "53" "Lem Morrison Dr & Donahue Dr"
13 "143" "South Donahue Dr & Woodfield Dr"
14 "157" "Beard Eaves Memorial Coliseum / South Donahue Residence Hall"
15 "251" "Woodfield @ War Eagle Way"
16 "216" "AU Medical Center SQ"
17 "235" "Football Drop-Off/Pick-Up @ Auburn Mall"
18 "236" "Auburn Mall @ War Eagle Way"
19 "237" "AU Softball Complex @ War Eagle Way"
20 "239" "Duck Samford @ War Eagle Way"
21 "241" "Facilities @ War Eagle Way"
22 "242" "3D Arts & Gameday Facilities"
23 "243" "ADA GPAC @ War Eagle Way"
24 "244" "Woodfield - Game Day"
25 "246" "Gameday GPAC"
26 "247" "Tiger Town @ War Eagle Way"
27 "248" "Tiger Town Dick's Sporting Goods"
28 "249" "West Parking @ War Eagle Way"
29 "166" "Asian Supermarket"
30 "265" "Stop 2"
31 "266" "Stop 3"
32 "267" "Stop 4"
33 "268" "Stop 1"
38 "196" "Mell St Station"
93 "232" "Duncan Dr & The College of Education"
116 "279" "Recruitment 1"
129 "150" "Auburn City Hall"
131 "19" "Biggin Hall & Ramsay Hall (IB)"
139 "280" "Recruitment 2"
145 "233" "ADA Lot @ VCOM"
146 "234" "ADA @ War Eagle Way"
147 "250" "West Parking - Game Day"
148 "58" "Opelika Wal-Mart"
149 "174" "Goodwin Music Hall/Telfair B. Peet Theatre"
150 "189" "South Donahue Residence Hall"
151 "284" "Jordan Hare Stadium"
152 "285" "Pre Game 2"
166 "294" "Student Center Haley Center Pavilion"
167 "295" "SS Student Center"
168 "296" "Green Hall"
169 "48" "Vet School"
170 "297" "Hayfield"
171 "298" "AU Hotel"
173 "299" "Mell Loop"
174 "300" "191 College"
175 "301" "The Union"
176 "302" "Old Row"
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