GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2025-12-12T21:39:58Z,
for the dataset file:///shared/cuats-tn-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:
2025-12-10
Feed End Date:
2026-01-10

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: 5
  • Routes: 5
  • Shapes: 10
  • Stops: 54
  • Trips: 130

Specification Compliance report

42 notices reported (0 errors, 42 warnings, 0 infos)

Notice Code Severity Total
equal_shape_distance_same_coordinates WARNING 1

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`.
"50598" 1972 11959.98 358 1971 11959.98 357
fast_travel_between_consecutive_stops WARNING 26

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.

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.
48 "699885" "6363" 111637.9784464518 7442.5318964301205 404 3 "169200" "Colony Square" "13:15:00" 405 4 "164991" "Keith Street at Food City" "13:18:00"
48 "699885" "6363" 148771.98596481027 7438.599298240513 405 4 "164991" "Keith Street at Food City" "13:18:00" 406 5 "164997" "YMCA" "13:20:00"
41 "690967" "6363" 111637.9784464518 7442.5318964301205 355 3 "169200" "Colony Square" "06:15:00" 356 4 "164991" "Keith Street at Food City" "06:18:00"
41 "690967" "6363" 148771.98596481027 7438.599298240513 356 4 "164991" "Keith Street at Food City" "06:18:00" 357 5 "164997" "YMCA" "06:20:00"
43 "699880" "6363" 111637.9784464518 7442.5318964301205 369 3 "169200" "Colony Square" "08:15:00" 370 4 "164991" "Keith Street at Food City" "08:18:00"
43 "699880" "6363" 148771.98596481027 7438.599298240513 370 4 "164991" "Keith Street at Food City" "08:18:00" 371 5 "164997" "YMCA" "08:20:00"
52 "699889" "6363" 111637.9784464518 7442.5318964301205 432 3 "169200" "Colony Square" "17:15:00" 433 4 "164991" "Keith Street at Food City" "17:18:00"
52 "699889" "6363" 148771.98596481027 7438.599298240513 433 4 "164991" "Keith Street at Food City" "17:18:00" 434 5 "164997" "YMCA" "17:20:00"
47 "699884" "6363" 111637.9784464518 7442.5318964301205 397 3 "169200" "Colony Square" "12:15:00" 398 4 "164991" "Keith Street at Food City" "12:18:00"
47 "699884" "6363" 148771.98596481027 7438.599298240513 398 4 "164991" "Keith Street at Food City" "12:18:00" 399 5 "164997" "YMCA" "12:20:00"
49 "699886" "6363" 111637.9784464518 7442.5318964301205 411 3 "169200" "Colony Square" "14:15:00" 412 4 "164991" "Keith Street at Food City" "14:18:00"
49 "699886" "6363" 148771.98596481027 7438.599298240513 412 4 "164991" "Keith Street at Food City" "14:18:00" 413 5 "164997" "YMCA" "14:20:00"
45 "699882" "6363" 111637.9784464518 7442.5318964301205 383 3 "169200" "Colony Square" "10:15:00" 384 4 "164991" "Keith Street at Food City" "10:18:00"
45 "699882" "6363" 148771.98596481027 7438.599298240513 384 4 "164991" "Keith Street at Food City" "10:18:00" 385 5 "164997" "YMCA" "10:20:00"
42 "699879" "6363" 111637.9784464518 7442.5318964301205 362 3 "169200" "Colony Square" "07:15:00" 363 4 "164991" "Keith Street at Food City" "07:18:00"
42 "699879" "6363" 148771.98596481027 7438.599298240513 363 4 "164991" "Keith Street at Food City" "07:18:00" 364 5 "164997" "YMCA" "07:20:00"
51 "699888" "6363" 111637.9784464518 7442.5318964301205 425 3 "169200" "Colony Square" "16:15:00" 426 4 "164991" "Keith Street at Food City" "16:18:00"
51 "699888" "6363" 148771.98596481027 7438.599298240513 426 4 "164991" "Keith Street at Food City" "16:18:00" 427 5 "164997" "YMCA" "16:20:00"
50 "699887" "6363" 111637.9784464518 7442.5318964301205 418 3 "169200" "Colony Square" "15:15:00" 419 4 "164991" "Keith Street at Food City" "15:18:00"
50 "699887" "6363" 148771.98596481027 7438.599298240513 419 4 "164991" "Keith Street at Food City" "15:18:00" 420 5 "164997" "YMCA" "15:20:00"
53 "699890" "6363" 111637.9784464518 7442.5318964301205 439 3 "169200" "Colony Square" "18:15:00" 440 4 "164991" "Keith Street at Food City" "18:18:00"
53 "699890" "6363" 148771.98596481027 7438.599298240513 440 4 "164991" "Keith Street at Food City" "18:18:00" 441 5 "164997" "YMCA" "18:20:00"
46 "699883" "6363" 111637.9784464518 7442.5318964301205 390 3 "169200" "Colony Square" "11:15:00" 391 4 "164991" "Keith Street at Food City" "11:18:00"
46 "699883" "6363" 148771.98596481027 7438.599298240513 391 4 "164991" "Keith Street at Food City" "11:18:00" 392 5 "164997" "YMCA" "11:20:00"
44 "699881" "6363" 111637.9784464518 7442.5318964301205 376 3 "169200" "Colony Square" "09:15:00" 377 4 "164991" "Keith Street at Food City" "09:18:00"
44 "699881" "6363" 148771.98596481027 7438.599298240513 377 4 "164991" "Keith Street at Food City" "09:18:00" 378 5 "164997" "YMCA" "09:20:00"
fast_travel_between_far_stops WARNING 13

fast_travel_between_far_stops

A transit vehicle moves too fast between two far stops.

Two stops are considered "far" if they are more than 10 km apart. This normally indicates a more serious problem than too fast travel between consecutive stops.

The speed threshold depends on route type and are the same as fast_travel_between_consecutive_stops.

You can see more about this notice here.

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.
48 "699885" "6363" 111637.9784464518 7442.5318964301205 404 3 "169200" "Colony Square" "13:15:00" 405 4 "164991" "Keith Street at Food City" "13:18:00"
41 "690967" "6363" 111637.9784464518 7442.5318964301205 355 3 "169200" "Colony Square" "06:15:00" 356 4 "164991" "Keith Street at Food City" "06:18:00"
43 "699880" "6363" 111637.9784464518 7442.5318964301205 369 3 "169200" "Colony Square" "08:15:00" 370 4 "164991" "Keith Street at Food City" "08:18:00"
52 "699889" "6363" 111637.9784464518 7442.5318964301205 432 3 "169200" "Colony Square" "17:15:00" 433 4 "164991" "Keith Street at Food City" "17:18:00"
47 "699884" "6363" 111637.9784464518 7442.5318964301205 397 3 "169200" "Colony Square" "12:15:00" 398 4 "164991" "Keith Street at Food City" "12:18:00"
49 "699886" "6363" 111637.9784464518 7442.5318964301205 411 3 "169200" "Colony Square" "14:15:00" 412 4 "164991" "Keith Street at Food City" "14:18:00"
45 "699882" "6363" 111637.9784464518 7442.5318964301205 383 3 "169200" "Colony Square" "10:15:00" 384 4 "164991" "Keith Street at Food City" "10:18:00"
42 "699879" "6363" 111637.9784464518 7442.5318964301205 362 3 "169200" "Colony Square" "07:15:00" 363 4 "164991" "Keith Street at Food City" "07:18:00"
51 "699888" "6363" 111637.9784464518 7442.5318964301205 425 3 "169200" "Colony Square" "16:15:00" 426 4 "164991" "Keith Street at Food City" "16:18:00"
50 "699887" "6363" 111637.9784464518 7442.5318964301205 418 3 "169200" "Colony Square" "15:15:00" 419 4 "164991" "Keith Street at Food City" "15:18:00"
53 "699890" "6363" 111637.9784464518 7442.5318964301205 439 3 "169200" "Colony Square" "18:15:00" 440 4 "164991" "Keith Street at Food City" "18:18:00"
46 "699883" "6363" 111637.9784464518 7442.5318964301205 390 3 "169200" "Colony Square" "11:15:00" 391 4 "164991" "Keith Street at Food City" "11:18:00"
44 "699881" "6363" 111637.9784464518 7442.5318964301205 376 3 "169200" "Colony Square" "09:15:00" 377 4 "164991" "Keith Street at Food City" "09:18:00"
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" "20260110" "20260111"
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.
41 "49896" "690967" 356 "164991" "Keith Street at Food City" [35.188441,-84.822852] 7438499.836685225