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api-realfile-rtsclients — Source Data Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-06-11T19:49:50Z,
for the dataset file:///shared/api-realfile-rtsclients_9feb55b3.zip. No country code was provided.

Use this report alongside our documentation.

A new version of the Canonical GTFS Schedule validator is available! Please update to get the latest/best validation results.

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: 38
  • Routes: 15
  • Shapes: 15
  • Stops: 152
  • Trips: 109

Specification Compliance report

104 notices reported (7 errors, 97 warnings, 0 infos)

Notice Code Severity Total
block_trips_with_overlapping_stop_times ERROR 6

block_trips_with_overlapping_stop_times

Trips with the same block id have overlapping stop times.

You can see more about this notice here.

csvRowNumberA (?) The row number from `trips.txt` of the first faulty trip. tripIdA (?) The id of first faulty trip. serviceIdA (?) The service id of the first faulty trip. csvRowNumberB (?) The row number from `trips.txt` of the second faulty trip. tripIdB (?) The id of the other faulty trip. serviceIdB (?) The service id of the other faulty trip. blockId (?) The `trips.block_id` of the overlapping trip. intersection (?) The overlapping period.
74 "TL-136" "TL-2" 76 "TL-138" "TL-2" "6P" "20240207"
76 "TL-138" "TL-2" 77 "TL-139" "TL-2" "6P" "20240207"
77 "TL-139" "TL-2" 78 "TL-140" "TL-2" "6P" "20240207"
43 "TL-233" "TL-2" 4 "TL-186" "TL-2" "9A" "20240207"
46 "TL-144" "TL-2" 23 "TL-181" "TL-2" "3A" "20240207"
17 "TL-216" "TL-2" 16 "TL-215" "TL-2" "9P" "20240207"
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.
461 459 "TL-187" "15:58:00" "15:59:00"
fast_travel_between_consecutive_stops WARNING 11

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.
39 "TL-242" "TL-16" 773.9642290098401 12.899403816830668 1087 17 "TL-222" "South Capitol Station" "19:28:00" 1088 18 "TL-223" "NM-599 Station" "19:28:00"
36 "TL-239" "TL-16" 773.9642290098401 12.899403816830668 1033 17 "TL-222" "South Capitol Station" "18:17:00" 1034 18 "TL-223" "NM-599 Station" "18:17:00"
33 "TL-236" "TL-16" 773.9642290098401 12.899403816830668 979 17 "TL-222" "South Capitol Station" "16:35:00" 980 18 "TL-223" "NM-599 Station" "16:35:00"
43 "TL-233" "TL-17" 773.9642290098401 12.899403816830668 925 17 "TL-242" "South Capitol Station" "08:41:00" 926 18 "TL-243" "NM-599 Station" "08:41:00"
45 "TL-235" "TL-17" 773.9642290098401 12.899403816830668 961 17 "TL-242" "South Capitol Station" "10:26:00" 962 18 "TL-243" "NM-599 Station" "10:26:00"
42 "TL-232" "TL-17" 773.9642290098401 12.899403816830668 907 17 "TL-242" "South Capitol Station" "07:47:00" 908 18 "TL-243" "NM-599 Station" "07:47:00"
90 "TL-121" "TL-7" 2083.4176897374286 34.723628162290474 16 7 "TL-69" "Anthony TX" "07:08:00" 17 8 "TL-269" "New Mexico State University (NMSU)" "07:08:00"
41 "TL-231" "TL-17" 773.9642290098401 12.899403816830668 889 17 "TL-242" "South Capitol Station" "07:30:00" 890 18 "TL-243" "NM-599 Station" "07:30:00"
44 "TL-234" "TL-17" 773.9642290098401 12.899403816830668 943 17 "TL-242" "South Capitol Station" "09:29:00" 944 18 "TL-243" "NM-599 Station" "09:29:00"
40 "TL-243" "TL-16" 773.9642290098401 12.899403816830668 1105 17 "TL-222" "South Capitol Station" "21:35:00" 1106 18 "TL-223" "NM-599 Station" "21:35:00"
109 "TL-230" "TL-8" 494.36494352918106 8.239415725486351 862 1 "TL-72" "New Mexico State University (NMSU)" "17:19:00" 863 2 "TL-74" "Ashley Furniture HomeStore" "17:19:00"
fast_travel_between_far_stops WARNING 68

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.

Only the first 50 of 68 affected records are displayed below.

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.
18 "TL-217" "TL-12" 860.9649967942919 14.349416613238198 778 1 "TL-152" "NM-599 Station" "17:43:00" 791 14 "TL-165" "Bisbee Court Cul-de-sac" "17:43:00"
39 "TL-242" "TL-16" 773.9642290098401 12.899403816830668 1087 17 "TL-222" "South Capitol Station" "19:28:00" 1088 18 "TL-223" "NM-599 Station" "19:28:00"
104 "TL-206" "TL-7" 3876.906795322041 64.61511325536735 649 5 "TL-67" "Downtown El Paso" "19:26:00" 652 8 "TL-269" "New Mexico State University (NMSU)" "19:26:00"
96 "TL-198" "TL-7" 4572.193653019571 76.20322755032618 584 4 "TL-66" "Westside El Paso" "09:49:00" 588 8 "TL-269" "New Mexico State University (NMSU)" "09:49:00"
99 "TL-201" "TL-7" 4851.406544778158 80.85677574630262 605 1 "TL-64" "Mesilla Valley Intermodal Transit Terminal" "15:17:00" 610 6 "TL-68" "Westside El Paso" "15:17:00"
38 "TL-241" "TL-16" 4198.997187776952 69.98328646294921 1061 9 "TL-212" "Mesa Public Library" "17:33:00" 1070 18 "TL-223" "NM-599 Station" "17:33:00"
37 "TL-240" "TL-16" 3617.330207792495 60.28883679654158 1035 1 "TL-204" "South Capitol Station" "17:39:00" 1047 13 "TL-217" "Tech Area 3 (TA-3)" "17:39:00"
78 "TL-140" "TL-5" 10399.914460054997 173.33190766758327 90 1 "TL-85" "Capitol" "19:03:00" 101 12 "TL-96" "South Capitol Station" "19:03:00"
94 "TL-196" "TL-7" 4156.119687080627 69.26866145134379 565 1 "TL-64" "Mesilla Valley Intermodal Transit Terminal" "05:24:00" 569 5 "TL-67" "Downtown El Paso" "05:24:00"
10 "TL-192" "TL-11" 663.9272927844319 11.06545487974053 526 1 "TL-137" "South Capitol Station" "17:27:00" 540 15 "TL-151" "Alta Vista Street (NB)" "17:27:00"
54 "TL-152" "TL-3" 1637.6171457380783 27.29361909563464 178 1 "TL-109" "Mesa Public Library" "05:42:00" 181 4 "TL-112" "Espanola" "05:42:00"
49 "TL-147" "TL-2" 1610.4143214769217 26.84023869128203 173 6 "TL-102" "South Capitol Station" "09:03:00" 177 10 "TL-106" "Pojoaque- Cities of Gold Casino" "09:03:00"
59 "TL-157" "TL-3" 1673.102349438094 27.885039157301566 221 4 "TL-112" "Espanola" "08:00:00" 225 8 "TL-116" "Knecht Street" "08:00:00"
55 "TL-153" "TL-3" 1637.6171457380783 27.29361909563464 186 1 "TL-109" "Mesa Public Library" "06:00:00" 189 4 "TL-112" "Espanola" "06:00:00"
36 "TL-239" "TL-16" 773.9642290098401 12.899403816830668 1033 17 "TL-222" "South Capitol Station" "18:17:00" 1034 18 "TL-223" "NM-599 Station" "18:17:00"
63 "TL-161" "TL-3" 1637.6171457380783 27.29361909563464 250 1 "TL-109" "Mesa Public Library" "14:47:00" 253 4 "TL-112" "Espanola" "14:47:00"
33 "TL-236" "TL-16" 773.9642290098401 12.899403816830668 979 17 "TL-222" "South Capitol Station" "16:35:00" 980 18 "TL-223" "NM-599 Station" "16:35:00"
73 "TL-135" "TL-5" 5261.912113008071 87.69853521680118 30 1 "TL-85" "Capitol" "05:00:00" 36 7 "TL-91" "Highlands University (NMHU)" "05:00:00"
105 "TL-207" "TL-7" 4156.119687080627 69.26866145134379 653 1 "TL-64" "Mesilla Valley Intermodal Transit Terminal" "17:15:00" 657 5 "TL-67" "Downtown El Paso" "17:15:00"
77 "TL-139" "TL-5" 5261.912113008071 87.69853521680118 78 1 "TL-85" "Capitol" "18:30:00" 84 7 "TL-91" "Highlands University (NMHU)" "18:30:00"
34 "TL-237" "TL-16" 4198.997187776952 69.98328646294921 989 9 "TL-212" "Mesa Public Library" "16:03:00" 998 18 "TL-223" "NM-599 Station" "16:03:00"
43 "TL-233" "TL-17" 773.9642290098401 12.899403816830668 925 17 "TL-242" "South Capitol Station" "08:41:00" 926 18 "TL-243" "NM-599 Station" "08:41:00"
70 "TL-168" "TL-3" 1673.102349438094 27.885039157301566 309 4 "TL-112" "Espanola" "18:23:00" 313 8 "TL-116" "Knecht Street" "18:23:00"
89 "TL-120" "TL-7" 4851.406544778158 80.85677574630262 2 1 "TL-64" "Mesilla Valley Intermodal Transit Terminal" "04:32:00" 7 6 "TL-68" "Westside El Paso" "04:32:00"
56 "TL-154" "TL-3" 1637.6171457380783 27.29361909563464 194 1 "TL-109" "Mesa Public Library" "06:32:00" 197 4 "TL-112" "Espanola" "06:32:00"
6 "TL-188" "TL-11" 663.9272927844319 11.06545487974053 466 1 "TL-137" "South Capitol Station" "16:15:00" 480 15 "TL-151" "Alta Vista Street (NB)" "16:15:00"
92 "TL-194" "TL-7" 4851.406544778158 80.85677574630262 549 1 "TL-64" "Mesilla Valley Intermodal Transit Terminal" "05:14:00" 554 6 "TL-68" "Westside El Paso" "05:14:00"
52 "TL-246" "TL-23" 2350.7759198840517 39.1795986647342 1127 1 "TL-302" "Espanola" "16:24:00" 1132 6 "TL-307" "South Capitol Station" "16:24:00"
8 "TL-190" "TL-11" 663.9272927844319 11.06545487974053 496 1 "TL-137" "South Capitol Station" "17:05:00" 510 15 "TL-151" "Alta Vista Street (NB)" "17:05:00"
93 "TL-195" "TL-7" 3460.8328293830978 57.68054715638496 557 1 "TL-64" "Mesilla Valley Intermodal Transit Terminal" "08:25:00" 560 4 "TL-66" "Westside El Paso" "08:25:00"
91 "TL-193" "TL-7" 3876.906795322041 64.61511325536735 545 5 "TL-67" "Downtown El Paso" "08:53:00" 548 8 "TL-269" "New Mexico State University (NMSU)" "08:53:00"
81 "TL-143" "TL-5" 10399.914460054997 173.33190766758327 126 1 "TL-85" "Capitol" "07:32:00" 137 12 "TL-96" "South Capitol Station" "07:32:00"
69 "TL-167" "TL-3" 1673.102349438094 27.885039157301566 301 4 "TL-112" "Espanola" "17:30:00" 305 8 "TL-116" "Knecht Street" "17:30:00"
84 "TL-171" "TL-6" 4855.08250059102 80.918041676517 332 1 "TL-76" "Downtown Albuquerque (Alvarado Transit Center)" "07:31:00" 336 5 "TL-80" "NM-599 Station" "07:31:00"
45 "TL-235" "TL-17" 773.9642290098401 12.899403816830668 961 17 "TL-242" "South Capitol Station" "10:26:00" 962 18 "TL-243" "NM-599 Station" "10:26:00"
50 "TL-244" "TL-23" 1601.0870526398774 26.684784210664624 1112 6 "TL-307" "South Capitol Station" "18:25:00" 1116 10 "TL-311" "Pojoaque- Cities of Gold Casino" "18:25:00"
75 "TL-137" "TL-5" 5138.002347046925 85.63337245078208 60 7 "TL-91" "Highlands University (NMHU)" "18:47:00" 65 12 "TL-96" "South Capitol Station" "18:47:00"
83 "TL-170" "TL-6" 4855.08250059102 80.918041676517 323 1 "TL-76" "Downtown Albuquerque (Alvarado Transit Center)" "05:55:00" 327 5 "TL-80" "NM-599 Station" "05:55:00"
102 "TL-204" "TL-7" 8033.026482402668 133.88377470671114 629 1 "TL-64" "Mesilla Valley Intermodal Transit Terminal" "14:56:00" 636 8 "TL-269" "New Mexico State University (NMSU)" "14:56:00"
42 "TL-232" "TL-17" 773.9642290098401 12.899403816830668 907 17 "TL-242" "South Capitol Station" "07:47:00" 908 18 "TL-243" "NM-599 Station" "07:47:00"
60 "TL-158" "TL-3" 1673.102349438094 27.885039157301566 229 4 "TL-112" "Espanola" "07:52:00" 233 8 "TL-116" "Knecht Street" "07:52:00"
64 "TL-162" "TL-3" 1637.6171457380783 27.29361909563464 258 1 "TL-109" "Mesa Public Library" "15:30:00" 261 4 "TL-112" "Espanola" "15:30:00"
106 "TL-208" "TL-7" 3876.906795322041 64.61511325536735 665 5 "TL-67" "Downtown El Paso" "19:37:00" 668 8 "TL-269" "New Mexico State University (NMSU)" "19:37:00"
57 "TL-155" "TL-3" 1637.6171457380783 27.29361909563464 202 1 "TL-109" "Mesa Public Library" "06:52:00" 205 4 "TL-112" "Espanola" "06:52:00"
15 "TL-214" "TL-12" 860.9649967942919 14.349416613238198 736 1 "TL-152" "NM-599 Station" "17:17:00" 749 14 "TL-165" "Bisbee Court Cul-de-sac" "17:17:00"
58 "TL-156" "TL-3" 1673.102349438094 27.885039157301566 213 4 "TL-112" "Espanola" "08:25:00" 217 8 "TL-116" "Knecht Street" "08:25:00"
71 "TL-176" "TL-3" 3310.7194951761726 55.17865825293621 377 1 "TL-109" "Mesa Public Library" "17:00:00" 384 8 "TL-116" "Knecht Street" "17:00:00"
53 "TL-247" "TL-23" 2350.7759198840517 39.1795986647342 1137 1 "TL-302" "Espanola" "17:27:00" 1142 6 "TL-307" "South Capitol Station" "17:27:00"
100 "TL-202" "TL-7" 8033.026482402668 133.88377470671114 613 1 "TL-64" "Mesilla Valley Intermodal Transit Terminal" "17:31:00" 620 8 "TL-269" "New Mexico State University (NMSU)" "17:31:00"
90 "TL-121" "TL-7" 2083.4176897374286 34.723628162290474 16 7 "TL-69" "Anthony TX" "07:08:00" 17 8 "TL-269" "New Mexico State University (NMSU)" "07:08:00"
missing_recommended_field WARNING 15

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"
"routes.txt" 15 "agency_id"
"routes.txt" 16 "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 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" "WSMR HQ" 98
"stops.txt" "stop_name" "MV TC" 105