GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-02-24T19:16:40Z,
for the dataset file:///shared/old-dominion-university_384681e8.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included

Feed Info

Publisher Name:
N/A
Publisher URL:
N/A
Feed Email:
N/A
Feed Language:
N/A

Files included

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

Counts

  • Agencies: 1
  • Blocks: 10
  • Routes: 13
  • Shapes: 13
  • Stops: 111
  • Trips: 56

Specification Compliance report

62 notices reported (1 errors, 61 warnings, 0 infos)

Notice Code Severity Total
stop_time_with_arrival_before_previous_departure_time ERROR 1

stop_time_with_arrival_before_previous_departure_time

Backwards time travel between stops in stop_times.txt

For a given trip_id, the arrival_time of (n+1)-th stoptime in sequence must not precede the departure_time of n-th stoptime in sequence in stop_times.txt.

You can see more about this notice here.

csvRowNumber (?) The row number of the faulty record. prevCsvRowNumber (?) The row of the previous stop time. tripId (?) The trip_id associated to the faulty record. arrivalTime (?) Arrival time at the faulty record. departureTime (?) Departure time at the previous stop time.
304 303 "TL-190" "05:49:00" "17:48:00"
missing_recommended_field WARNING 13

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.
"routes.txt" 2 "agency_id"
"routes.txt" 3 "agency_id"
"routes.txt" 4 "agency_id"
"routes.txt" 5 "agency_id"
"routes.txt" 6 "agency_id"
"routes.txt" 7 "agency_id"
"routes.txt" 8 "agency_id"
"routes.txt" 9 "agency_id"
"routes.txt" 10 "agency_id"
"routes.txt" 11 "agency_id"
"routes.txt" 12 "agency_id"
"routes.txt" 13 "agency_id"
"routes.txt" 14 "agency_id"
missing_recommended_file WARNING 1

missing_recommended_file

A recommended file is missing.

You can see more about this notice here.

filename (?) The name of the faulty file.
"feed_info.txt"
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.
"stops.txt" "stop_name" "ODU campus -" 104
stop_too_far_from_shape WARNING 1

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.
57 "TL-2" "TL-199" 407 "TL-17" "Grand Mart" [36.85439,-76.19369] 1943.9093320567154
stop_without_stop_time WARNING 40

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.
26 "TL-78" "Diehn/Webb Center"
27 "TL-79" "Dragas"
28 "TL-80" "W 45th & Hampton Blvd"
29 "TL-81" "Perry Library"
30 "TL-82" "Parking Garage"
31 "TL-83" "Elkhorn Avenue"
32 "TL-84" "Powhatan Avenue"
33 "TL-85" "W 48th & Powhattan Ave"
34 "TL-86" "Dominion House"
36 "TL-88" "\"B\" Garage East"
37 "TL-89" "\"B\" Garage West"
38 "TL-90" "\"A\" Garage"
39 "TL-91" "TED Center"
40 "TL-92" "West Stop 1"
41 "TL-93" "West Stop 2"
42 "TL-94" "West Stop 3"
43 "TL-95" "West Stop 4"
44 "TL-96" "West Stop 5"
45 "TL-97" "East Stop 1"
46 "TL-98" "East Stop 2"
47 "TL-99" "East Stop 3"
77 "TL-148" "The Next @ ODU"
78 "TL-149" "Lower Monarch Way"
79 "TL-150" "Ted/Bookstore"
80 "TL-151" "Brock Commons"
81 "TL-152" "Gresham Main"
82 "TL-153" "Rogers Hall"
83 "TL-154" "Visitor Lot"
84 "TL-155" "Quarantine"
85 "TL-156" "Islamic Center"
86 "TL-157" "Whitehurst / Powhatan"
87 "TL-158" "L.R. Hill"
88 "TL-159" "Elkhorn Avenue"
89 "TL-160" "Bluestone Avenue"
90 "TL-161" "CVS"
91 "TL-162" "Food Lion"
92 "TL-163" "ALDI"
93 "TL-165" "Fresh Market"
94 "TL-166" "Health Sciences"
95 "TL-167" "Walgreens"
unused_shape WARNING 5

unused_shape

Shape is not used in GTFS file trips.txt.

All records defined by GTFS shapes.txt should be used in trips.txt.

You can see more about this notice here.

shapeId (?) The faulty record's id. csvRowNumber (?) The row number of the faulty record.
"TL-15" 1257
"TL-8" 3493
"TL-9" 3589
"TL-10" 3635
"TL-11" 3756