GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2025-12-05T17:08:52Z,
for the dataset file:///shared/passio3-com-roadrunner-transit-1.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:
2025-12-03
Feed End Date:
2026-01-03

Files included

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

Counts

  • Agencies: 1
  • Blocks: 22
  • Routes: 10
  • Shapes: 11
  • Stops: 297
  • Trips: 345

Specification Compliance report

40 notices reported (0 errors, 40 warnings, 0 infos)

Notice Code Severity Total
equal_shape_distance_same_coordinates WARNING 19

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`.
"43168" 3567 28495.48 596 3566 28495.48 595
"43168" 3660 30760.44 689 3659 30760.44 688
"43169" 3918 10547.23 245 3917 10547.23 244
"43169" 4146 19745.04 473 4145 19745.04 472
"43169" 4147 19745.04 474 4146 19745.04 473
"43169" 4148 19745.04 475 4147 19745.04 474
"43167" 2047 24903.22 990 2046 24903.22 989
"43167" 2332 35808.4 1275 2331 35808.4 1274
"44057" 2373 776.53 41 2372 776.53 40
"44057" 2932 21927.18 600 2931 21927.18 599
"44057" 2971 23030.21 639 2970 23030.21 638
"60953" 515 4798.3 146 514 4798.3 145
"43172" 5353 19525.42 480 5352 19525.42 479
"43172" 5354 19525.42 481 5353 19525.42 480
"43172" 5355 19525.42 482 5354 19525.42 481
"43173" 5819 15054.31 443 5818 15054.31 442
"43170" 4387 10584.55 239 4386 10584.55 238
"43170" 4388 10584.55 240 4387 10584.55 239
"43170" 4389 10584.55 241 4388 10584.55 240
fast_travel_between_consecutive_stops WARNING 10

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.
139 "626182" "5585" 3011.982805603155 0.8366618904453209 3083 31 "152984" "Calle Jitas @ DACC (M-F)" "12:10:00" 3084 32 "153140" "Sonoma Ranch & Sedona Hills (M-F)" "12:10:01"
137 "626180" "5585" 3011.982805603155 0.8366618904453209 2963 31 "152984" "Calle Jitas @ DACC (M-F)" "09:10:00" 2964 32 "153140" "Sonoma Ranch & Sedona Hills (M-F)" "09:10:01"
143 "626186" "5585" 3011.982805603155 0.8366618904453209 3323 31 "152984" "Calle Jitas @ DACC (M-F)" "18:10:00" 3324 32 "153140" "Sonoma Ranch & Sedona Hills (M-F)" "18:10:01"
138 "626181" "5585" 3011.982805603155 0.8366618904453209 3023 31 "152984" "Calle Jitas @ DACC (M-F)" "10:40:00" 3024 32 "153140" "Sonoma Ranch & Sedona Hills (M-F)" "10:40:01"
144 "626187" "5585" 3011.982805603155 0.8366618904453209 3383 31 "152984" "Calle Jitas @ DACC (M-F)" "19:40:00" 3384 32 "153140" "Sonoma Ranch & Sedona Hills (M-F)" "19:40:01"
142 "626185" "5585" 3011.982805603155 0.8366618904453209 3263 31 "152984" "Calle Jitas @ DACC (M-F)" "16:40:00" 3264 32 "153140" "Sonoma Ranch & Sedona Hills (M-F)" "16:40:01"
136 "626179" "5585" 3011.982805603155 0.8366618904453209 2903 31 "152984" "Calle Jitas @ DACC (M-F)" "07:40:00" 2904 32 "153140" "Sonoma Ranch & Sedona Hills (M-F)" "07:40:01"
141 "626184" "5585" 3011.982805603155 0.8366618904453209 3203 31 "152984" "Calle Jitas @ DACC (M-F)" "15:10:00" 3204 32 "153140" "Sonoma Ranch & Sedona Hills (M-F)" "15:10:01"
145 "626188" "5585" 3011.982805603155 0.8366618904453209 3443 31 "152984" "Calle Jitas @ DACC (M-F)" "21:10:00" 3444 32 "153140" "Sonoma Ranch & Sedona Hills (M-F)" "21:10:01"
140 "626183" "5585" 3011.982805603155 0.8366618904453209 3143 31 "152984" "Calle Jitas @ DACC (M-F)" "13:40:00" 3144 32 "153140" "Sonoma Ranch & Sedona Hills (M-F)" "13:40:01"
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 "20251205" "20260103" "20260104"
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" "MVITT (OUTBOUND)" 152
"stops.txt" "stop_name" "MVM (OUTBOUND)" 153
stop_without_stop_time WARNING 8

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.
130 "153069" "Main St. across from Taco Bell"
152 "153090" "MVITT (OUTBOUND)"
153 "153092" "MVM (OUTBOUND)"
186 "153120" "Roarunner @ Copperstone Apts"
187 "160939" "Sams Club"
243 "160940" "Triviz & Redwood 2"
253 "153191" "University @ Pan Am Plaza"
258 "153179" "University & Avenida de Mesilla"