GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2025-12-05T23:00:07Z,
for the dataset file:///shared/rio-metro-regional2.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included

Feed Info

Publisher Name:
Busmaps.com
Publisher URL:
https://busmaps.com
Feed Email:
alex@busmaps.com
Feed Language:
English
Feed Start Date:
2025-12-04
Feed End Date:
2026-10-09

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: 32
  • Routes: 23
  • Shapes: 72
  • Stops: 383
  • Trips: 1370

Specification Compliance report

100 notices reported (0 errors, 100 warnings, 0 infos)

Notice Code Severity Total
fast_travel_between_consecutive_stops WARNING 36

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.
482 "100413-t217-b76C-slC9-v79" "100413-190" 182.5667491747482 1.115685689401239 7428 1 "100413-51" "NM-17 & 3rd Street" "05:35:06" 7429 2 "100413-494" "NM-17 & Manzanita Drive" "05:35:28"
476 "100413-t217-b76C-slC8-v79" "100413-190" 182.5667491747482 1.115685689401239 7200 1 "100413-51" "NM-17 & 3rd Street" "05:35:06" 7201 2 "100413-494" "NM-17 & Manzanita Drive" "05:35:28"
500 "100413-t217-b76C-slD7-v79" "100413-190" 182.5667491747482 1.115685689401239 8112 1 "100413-51" "NM-17 & 3rd Street" "05:35:06" 8113 2 "100413-494" "NM-17 & Manzanita Drive" "05:35:28"
494 "100413-t217-b76C-slD4-v79" "100413-190" 182.5667491747482 1.115685689401239 7884 1 "100413-51" "NM-17 & 3rd Street" "05:35:06" 7885 2 "100413-494" "NM-17 & Manzanita Drive" "05:35:28"
506 "100413-t217-b76C-slDB-v79" "100413-190" 182.5667491747482 1.115685689401239 8340 1 "100413-51" "NM-17 & 3rd Street" "05:35:06" 8341 2 "100413-494" "NM-17 & Manzanita Drive" "05:35:28"
488 "100413-t217-b76C-slD0-v79" "100413-190" 182.5667491747482 1.115685689401239 7656 1 "100413-51" "NM-17 & 3rd Street" "05:35:06" 7657 2 "100413-494" "NM-17 & Manzanita Drive" "05:35:28"
482 "100413-t217-b76C-slC9-v79" "100413-190" 160.19155661083732 1.4239249476518874 7429 2 "100413-494" "NM-17 & Manzanita Drive" "05:35:28" 7430 3 "100413-52" "Chama Senior Center" "05:36:00"
476 "100413-t217-b76C-slC8-v79" "100413-190" 160.19155661083732 1.4239249476518874 7201 2 "100413-494" "NM-17 & Manzanita Drive" "05:35:28" 7202 3 "100413-52" "Chama Senior Center" "05:36:00"
500 "100413-t217-b76C-slD7-v79" "100413-190" 160.19155661083732 1.4239249476518874 8113 2 "100413-494" "NM-17 & Manzanita Drive" "05:35:28" 8114 3 "100413-52" "Chama Senior Center" "05:36:00"
494 "100413-t217-b76C-slD4-v79" "100413-190" 160.19155661083732 1.4239249476518874 7885 2 "100413-494" "NM-17 & Manzanita Drive" "05:35:28" 7886 3 "100413-52" "Chama Senior Center" "05:36:00"
506 "100413-t217-b76C-slDB-v79" "100413-190" 160.19155661083732 1.4239249476518874 8341 2 "100413-494" "NM-17 & Manzanita Drive" "05:35:28" 8342 3 "100413-52" "Chama Senior Center" "05:36:00"
488 "100413-t217-b76C-slD0-v79" "100413-190" 160.19155661083732 1.4239249476518874 7657 2 "100413-494" "NM-17 & Manzanita Drive" "05:35:28" 7658 3 "100413-52" "Chama Senior Center" "05:36:00"
498 "100413-t5FF-b76D-slD4-v79" "100413-190" 182.5667491747482 1.115685689401239 8036 1 "100413-51" "NM-17 & 3rd Street" "15:35:06" 8037 2 "100413-494" "NM-17 & Manzanita Drive" "15:35:28"
504 "100413-t5FF-b76D-slD7-v79" "100413-190" 182.5667491747482 1.115685689401239 8264 1 "100413-51" "NM-17 & 3rd Street" "15:35:06" 8265 2 "100413-494" "NM-17 & Manzanita Drive" "15:35:28"
480 "100413-t5FF-b76D-slC8-v79" "100413-190" 182.5667491747482 1.115685689401239 7352 1 "100413-51" "NM-17 & 3rd Street" "15:35:06" 7353 2 "100413-494" "NM-17 & Manzanita Drive" "15:35:28"
486 "100413-t5FF-b76D-slC9-v79" "100413-190" 182.5667491747482 1.115685689401239 7580 1 "100413-51" "NM-17 & 3rd Street" "15:35:06" 7581 2 "100413-494" "NM-17 & Manzanita Drive" "15:35:28"
510 "100413-t5FF-b76D-slDB-v79" "100413-190" 182.5667491747482 1.115685689401239 8492 1 "100413-51" "NM-17 & 3rd Street" "15:35:06" 8493 2 "100413-494" "NM-17 & Manzanita Drive" "15:35:28"
492 "100413-t5FF-b76D-slD0-v79" "100413-190" 182.5667491747482 1.115685689401239 7808 1 "100413-51" "NM-17 & 3rd Street" "15:35:06" 7809 2 "100413-494" "NM-17 & Manzanita Drive" "15:35:28"
498 "100413-t5FF-b76D-slD4-v79" "100413-190" 160.19155661083732 1.4239249476518874 8037 2 "100413-494" "NM-17 & Manzanita Drive" "15:35:28" 8038 3 "100413-52" "Chama Senior Center" "15:36:00"
504 "100413-t5FF-b76D-slD7-v79" "100413-190" 160.19155661083732 1.4239249476518874 8265 2 "100413-494" "NM-17 & Manzanita Drive" "15:35:28" 8266 3 "100413-52" "Chama Senior Center" "15:36:00"
480 "100413-t5FF-b76D-slC8-v79" "100413-190" 160.19155661083732 1.4239249476518874 7353 2 "100413-494" "NM-17 & Manzanita Drive" "15:35:28" 7354 3 "100413-52" "Chama Senior Center" "15:36:00"
486 "100413-t5FF-b76D-slC9-v79" "100413-190" 160.19155661083732 1.4239249476518874 7581 2 "100413-494" "NM-17 & Manzanita Drive" "15:35:28" 7582 3 "100413-52" "Chama Senior Center" "15:36:00"
510 "100413-t5FF-b76D-slDB-v79" "100413-190" 160.19155661083732 1.4239249476518874 8493 2 "100413-494" "NM-17 & Manzanita Drive" "15:35:28" 8494 3 "100413-52" "Chama Senior Center" "15:36:00"
492 "100413-t5FF-b76D-slD0-v79" "100413-190" 160.19155661083732 1.4239249476518874 7809 2 "100413-494" "NM-17 & Manzanita Drive" "15:35:28" 7810 3 "100413-52" "Chama Senior Center" "15:36:00"
478 "100413-t40B-b76D-slC8-v79" "100413-190" 182.5667491747482 1.115685689401239 7276 1 "100413-51" "NM-17 & 3rd Street" "10:35:06" 7277 2 "100413-494" "NM-17 & Manzanita Drive" "10:35:28"
484 "100413-t40B-b76D-slC9-v79" "100413-190" 182.5667491747482 1.115685689401239 7504 1 "100413-51" "NM-17 & 3rd Street" "10:35:06" 7505 2 "100413-494" "NM-17 & Manzanita Drive" "10:35:28"
508 "100413-t40B-b76D-slDB-v79" "100413-190" 182.5667491747482 1.115685689401239 8416 1 "100413-51" "NM-17 & 3rd Street" "10:35:06" 8417 2 "100413-494" "NM-17 & Manzanita Drive" "10:35:28"
502 "100413-t40B-b76D-slD7-v79" "100413-190" 182.5667491747482 1.115685689401239 8188 1 "100413-51" "NM-17 & 3rd Street" "10:35:06" 8189 2 "100413-494" "NM-17 & Manzanita Drive" "10:35:28"
496 "100413-t40B-b76D-slD4-v79" "100413-190" 182.5667491747482 1.115685689401239 7960 1 "100413-51" "NM-17 & 3rd Street" "10:35:06" 7961 2 "100413-494" "NM-17 & Manzanita Drive" "10:35:28"
490 "100413-t40B-b76D-slD0-v79" "100413-190" 182.5667491747482 1.115685689401239 7732 1 "100413-51" "NM-17 & 3rd Street" "10:35:06" 7733 2 "100413-494" "NM-17 & Manzanita Drive" "10:35:28"
478 "100413-t40B-b76D-slC8-v79" "100413-190" 160.19155661083732 1.4239249476518874 7277 2 "100413-494" "NM-17 & Manzanita Drive" "10:35:28" 7278 3 "100413-52" "Chama Senior Center" "10:36:00"
484 "100413-t40B-b76D-slC9-v79" "100413-190" 160.19155661083732 1.4239249476518874 7505 2 "100413-494" "NM-17 & Manzanita Drive" "10:35:28" 7506 3 "100413-52" "Chama Senior Center" "10:36:00"
508 "100413-t40B-b76D-slDB-v79" "100413-190" 160.19155661083732 1.4239249476518874 8417 2 "100413-494" "NM-17 & Manzanita Drive" "10:35:28" 8418 3 "100413-52" "Chama Senior Center" "10:36:00"
502 "100413-t40B-b76D-slD7-v79" "100413-190" 160.19155661083732 1.4239249476518874 8189 2 "100413-494" "NM-17 & Manzanita Drive" "10:35:28" 8190 3 "100413-52" "Chama Senior Center" "10:36:00"
496 "100413-t40B-b76D-slD4-v79" "100413-190" 160.19155661083732 1.4239249476518874 7961 2 "100413-494" "NM-17 & Manzanita Drive" "10:35:28" 7962 3 "100413-52" "Chama Senior Center" "10:36:00"
490 "100413-t40B-b76D-slD0-v79" "100413-190" 160.19155661083732 1.4239249476518874 7733 2 "100413-494" "NM-17 & Manzanita Drive" "10:35:28" 7734 3 "100413-52" "Chama Senior Center" "10:36:00"
mixed_case_recommended_field WARNING 61

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.

Only the first 50 of 61 affected records are displayed below.

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" "NM-522 & NM-196" 2
"stops.txt" "stop_name" "NM-150 & US-64" 3
"stops.txt" "stop_name" "NM-41 & CR-42" 30
"stops.txt" "stop_name" "NM-41 & CR-42" 31
"stops.txt" "stop_name" "US-84 & US-285" 50
"stops.txt" "stop_name" "US-84 & NM-233" 52
"stops.txt" "stop_name" "NP 804 & NP 805" 57
"stops.txt" "stop_name" "NM-68 & NM-570" 84
"stops.txt" "stop_name" "NM-76 & CR-69" 85
"stops.txt" "stop_name" "NM-75 & CR-65" 93
"stops.txt" "stop_name" "NM-68 & CR-51" 95
"stops.txt" "stop_name" "NM-68 & CR-51" 96
"stops.txt" "stop_name" "NM-68 & CR-57" 97
"stops.txt" "stop_name" "NM-68 & CR-57" 98
"stops.txt" "stop_name" "US-84 & CR-334" 103
"stops.txt" "stop_name" "NM-502 & CR-101d" 113
"stops.txt" "stop_name" "NM-502 & CR-101d" 114
"stops.txt" "stop_name" "NM-76 & NM-503" 115
"stops.txt" "stop_name" "NM-76 & NM-503" 116
"stops.txt" "stop_name" "US-84285 & NM-74" 136
"stops.txt" "stop_name" "US-84285 & NM-74" 137
"stops.txt" "stop_name" "US-84285 & CR-1" 142
"stops.txt" "stop_name" "US-84285 & CR-1" 143
"stops.txt" "stop_name" "US-84285 & CR-1541" 144
"stops.txt" "stop_name" "US-84285 & CR-1541" 146
"stops.txt" "stop_name" "US-84 & NM-554" 147
"stops.txt" "stop_name" "US-84 & CR-140" 151
"stops.txt" "stop_name" "US-84 & NM-233" 152
"stops.txt" "stop_name" "US-84 & CR-334" 155
"stops.txt" "stop_name" "NM-68 & CR-49" 163
"stops.txt" "stop_name" "NM-68 & CR-49" 164
"stops.txt" "stop_name" "NM-68 & CR-39" 165
"stops.txt" "stop_name" "NM-68 & CR-39" 166
"stops.txt" "stop_name" "NM-68 & CR-42" 170
"stops.txt" "stop_name" "NM-68 & CR-42" 171
"stops.txt" "stop_name" "NM-68 & CR-137b" 172
"stops.txt" "stop_name" "NM-68 & CR-137b" 173
"stops.txt" "stop_name" "US-285 & US-64" 188
"stops.txt" "stop_name" "US-285 & FR-222" 189
"stops.txt" "stop_name" "NM-522 & FR-493" 198
"stops.txt" "stop_name" "NM-522 & FR-493" 199
"stops.txt" "stop_name" "NM-75 & NM-73" 202
"stops.txt" "stop_name" "NM-75 & NM-73" 205
"stops.txt" "stop_name" "US-64 & CR-354" 225
"stops.txt" "stop_name" "US-84 & CR-140" 281
"stops.txt" "stop_name" "NM-150 & NM-230" 302
"stops.txt" "stop_name" "NM-162 & NM-531" 309
"stops.txt" "stop_name" "NM-68 & NM-570" 310
"stops.txt" "stop_name" "US-84 & NM-162" 317
"stops.txt" "stop_name" "NM-162 & CR-325" 318
stop_too_far_from_shape WARNING 3

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.
907 "100413-27263_shp-v79" "100413-t708-b7D1-slC8-v79" 12505 "100413-30" "Espanola Transit Center" [35.99038,-106.07574000000001] 195.11379250963904
886 "100413-21858_shp-v79" "100413-t221-bB55-slC8-v79" 12202 "100413-136" "NM-41 & Kinsell Avenue" [35.147313425370605,-105.97782318364754] 162.8761396886231
887 "100413-21860_shp-v79" "100413-t668-bB55-slC8-v79" 12220 "100413-136" "NM-41 & Kinsell Avenue" [35.147313425370605,-105.97782318364754] 162.8761396886231