GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2025-12-12T19:26:29Z,
for the dataset file:///shared/tuscaloosatransit-us.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included

Feed Info

Publisher Name:
Passio Technologies
Publisher URL:
https://passiotech.com
Feed Email:
support@passiotech.com
Feed Language:
English
Feed Start Date:
2025-12-11
Feed End Date:
2026-01-11

Files included

  1. agency.txt
  2. calendar.txt
  3. feed_info.txt
  4. routes.txt
  5. shapes.txt
  6. stop_times.txt
  7. stops.txt
  8. trips.txt

Counts

  • Agencies: 1
  • Blocks: 8
  • Routes: 7
  • Shapes: 13
  • Stops: 224
  • Trips: 188

Specification Compliance report

48 notices reported (0 errors, 48 warnings, 0 infos)

Notice Code Severity Total
equal_shape_distance_same_coordinates WARNING 3

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.

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`.
"63683" 5611 13041.23 473 5610 13041.23 472
"63698" 3721 410.39 30 3720 410.39 29
"63699" 4956 8359.11 382 4955 8359.11 381
feed_expiration_date30_days WARNING 1

feed_expiration_date30_days

Dataset should cover at least the next 30 days of service.

At any time, the GTFS dataset should cover at least the next 30 days of service, and ideally for as long as the operator is confident that the schedule will continue to be operated.

You can see more about this notice here.

csvRowNumber (?) The row number of the faulty record. currentDate (?) Current date (YYYYMMDD format). feedEndDate (?) Feed end date (YYYYMMDD format). suggestedExpirationDate (?) Suggested expiration date (YYYYMMDD format).
2 "20251212" "20260111" "20260111"
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" "15th and 11th" 4
route_long_name_contains_short_name WARNING 2

route_long_name_contains_short_name

Long name should not contain short name for a single route.

In routes.txt, route_long_name should not contain the value for route_short_name, because when both are provided, they are often combined by transit applications. Note that only one of the two fields is required. If there is no short name used for a route, use route_long_name only.

Good examples:

route_short_name/route_long_name Dataset
"N"/"Judah" Muni San Fransisco
"6"/"ML King Jr Blvd" Trimet Portland Streetcar
"55"/"Boulevard Saint Laurent" STM Montreal
"1"/"Rangiora/Cashmere" Metro Christchurch

Bad examples:

route_short_name/route_long_name
"604"/"604"
"14"/"Route 14"
"2"/"Route 2: Bellows Falls In-Town"

You can see more about this notice here.

routeId (?) The id of the faulty record. csvRowNumber (?) The row number of the faulty record. routeShortName (?) The faulty record's `route_short_name`. routeLongName (?) The faulty record's `route_long_name`.
"5558" 7 "UA" "UA Shuttle"
"5559" 8 "VA" "VA Route"
stop_without_stop_time WARNING 41

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.
2 "153383" "12th St"
4 "152925" "15th and 11th"
10 "153282" "15th Steet and Greensboro Ave. (Wells Fargo Bank)"
13 "153369" "25th and University Blvd East"
14 "153367" "25th Ave & 1st St E"
15 "153368" "25th Ave & 4th St E"
20 "153290" "36th Ave & 8th St"
21 "153291" "36th Ave & 9th St"
22 "153387" "36th Ave & Alabama Ave"
24 "153288" "6th Street and 33rd Ave"
25 "153289" "6th Street and 36th Ave"
27 "153245" "Alabama Power/Bryant Drive"
31 "152948" "Anna Ave"
41 "152949" "Bryant Museum"
45 "153242" "Burke Hall"
49 "153412" "Cash Savers/Rite Aid"
53 "153388" "Chevron"
60 "153295" "Creekwood Apartments"
69 "152947" "DCH (Kangaroo)"
73 "153384" "Dollar General"
76 "153411" "Dollar Tree"
85 "153392" "Embassy Suites"
112 "153382" "Holt Elementary"
113 "153386" "Holt High"
115 "153391" "Hotel Indigo"
117 "153366" "Jack Warner Pkwy & 25th Ave (Across from Nucor )"
123 "153277" "James Harrison Pkwy & 5th Ave"
124 "153253" "James O. Ellis Health Center"
125 "153244" "JD Food Mart"
126 "153372" "Jim Myers (Walgreens Pharmacy)"
131 "153378" "Lucky Dollar"
144 "153357" "New Bryce Hospital"
148 "153406" "Palisade Apartments #1"
149 "153407" "Palisade Apartments #2"
181 "153410" "Spiller Market Center(Dirt Cheap)"
192 "153385" "Sumner Groceries"
195 "152946" "Texas Roadhouse/ALDI Grocery"
196 "153339" "The Grand Apartments"
201 "153338" "Transportation Museum (Library)"
211 "153350" "University Blvd & 12th Ave"
219 "153243" "Wallace Wade (Rama Jama)"