fwtatransitdata — Source Data Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-05-22T21:34:12Z,
for the dataset file:///shared/fwtatransitdata_6b5ef2f8.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:
Trinity Metro
Feed Email:
N/A
Feed Language:
English
Feed Start Date:
2026-05-24
Feed End Date:
2026-09-26

Files included


  1. agency.txt
  2. calendar.txt
  3. calendar_dates.txt
  4. fare_leg_rules.txt
  5. fare_media.txt
  6. fare_products.txt
  7. fare_transfer_rules.txt
  8. feed_info.txt
  9. rider_categories.txt
  10. routes.txt
  11. shapes.txt
  12. stop_times.txt
  13. stops.txt
  14. transfers.txt
  15. trips.txt

Counts


  • Agencies: 2
  • Blocks: 1082
  • Routes: 73
  • Shapes: 162
  • Stops: 1619
  • Trips: 12397

Specification Compliance report

83 notices reported (0 errors, 80 warnings, 3 infos)

Notice Code Severity Total
duplicate_route_name WARNING 35

duplicate_route_name

Two distinct routes have either the same route_short_name, the same route_long_name, or the same combination of route_short_name and route_long_name.

All routes of the same route_type with the same agency_id should have unique combinations of route_short_name and route_long_name.

Note that there may be valid cases where routes have the same short and long name, e.g., if they serve different areas. However, different directions must be modeled as the same route.

Example of bad data:

route_id route_short_name route_long_name
route1 U1 Southern
route2 U1 Southern

You can see more about this notice here.

csvRowNumber1 (?) The row number of the first occurrence. routeId1 (?) The id of the the first occurrence. csvRowNumber2 (?) The row number of the other occurrence. routeId2 (?) The id of the the other occurrence. routeShortName (?) Common `routes.route_short_name`. routeLongName (?) Common `routes.route_long_name`. routeTypeValue (?) Common `routes.route_type`. agencyId (?) Common `routes.agency_id`.
2 "7698" 37 "8266" "001" "Hemphill" 3 "Trinity Metro"
3 "7699" 38 "8267" "002" "Camp Bowie" 3 "Trinity Metro"
4 "7700" 39 "8268" "004" "East Rosedale" 3 "Trinity Metro"
5 "7701" 40 "8269" "005" "Evans/TCC South" 3 "Trinity Metro"
6 "7702" 41 "8270" "006" "8th Ave/Mccart" 3 "Trinity Metro"
7 "7703" 42 "8271" "011" "N. Beach/Mercantile Center Station" 3 "Trinity Metro"
8 "7704" 43 "8272" "Orange Line" "Orange Line" 3 "Trinity Metro"
9 "7705" 44 "8273" "016" "Alliance Center/Merchantile Center" 3 "Trinity Metro"
10 "7706" 45 "8274" "Blue Line" "Blue Line" 3 "Trinity Metro"
11 "7707" 46 "8275" "021" "Boca Raton" 3 "Trinity Metro"
12 "7708" 47 "8276" "022" "Meadowbrook" 3 "Trinity Metro"
13 "7709" 48 "8277" "024" "Berry Street" 3 "Trinity Metro"
14 "7710" 49 "8278" "025" "Miller/E Seminary" 3 "Trinity Metro"
15 "7711" 50 "8279" "029" "W Seminary/Hulen Mall" 3 "Trinity Metro"
16 "7712" 51 "8280" "030" "Centreport Circulator" 3 "Trinity Metro"
17 "7713" 52 "8281" "LINK" "TRE Link" 3 "Trinity Metro"
18 "7714" 53 "8282" "033" "Felix/Oak Grove" 3 "Trinity Metro"
19 "7715" 54 "8283" "046" "Jacksboro Highway" 3 "Trinity Metro"
20 "7716" 55 "8284" "051" "Bryant Irvin" 3 "Trinity Metro"
21 "7717" 56 "8285" "052" "Hulen" 3 "Trinity Metro"
22 "7718" 57 "8286" "053" "University" 3 "Trinity Metro"
23 "7719" 58 "8287" "054" "Riverside/Sierra Vista" 3 "Trinity Metro"
24 "7720" 59 "8288" "055" "Handley" 3 "Trinity Metro"
25 "7721" 60 "8312" "61X" "Normandal Express" 3 "Trinity Metro"
26 "7722" 61 "8290" "63X" "North Park & Ride Express" 3 "Trinity Metro"
27 "7723" 62 "8291" "65X" "South Park & Ride Express" 3 "Trinity Metro"
28 "7724" 63 "8292" "072" "Hemphill/Sycamore School Road" 3 "Trinity Metro"
29 "7725" 64 "8293" "089" "Spur/East Lancaster" 3 "Trinity Metro"
30 "7726" 65 "8294" "091" "North Side Station/Normandale" 3 "Trinity Metro"
31 "7727" 66 "8295" "LL" "Burnett Plaza Lunch Line" 3 "Trinity Metro"
32 "7731" 67 "8299" "991" "Juror Shuttle" 3 "Trinity Metro"
33 "7732" 68 "8300" "BLUE" "Blue Route" 3 "Grapevine Visitors Shuttle"
34 "7735" 72 "8303" "GREEN" "Grapevine Green Route" 3 "Grapevine Visitors Shuttle"
35 "7736" 73 "8304" "MERLOT" "Grapevine Merlot Route" 3 "Grapevine Visitors Shuttle"
36 "7737" 74 "8305" "TEXRail" "TEXRail" 0 "Trinity Metro"
expired_calendar WARNING 1

expired_calendar

Dataset should not contain date ranges for services that have already expired.

This warning takes into account the calendar_dates.txt file as well as the calendar.txt file.

You can see more about this notice here.

csvRowNumber (?) The row of the faulty record. serviceId (?) The service id of the faulty record.
4 "142.0.3"
fast_travel_between_consecutive_stops WARNING 30

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.
12136 "988190" "8300" 477.42170680352586 0.1326171407787572 364799 17 "4199" "Restaurants At Hilton Garden Inn" "16:44:20" 364800 18 "4511" "Grapevine Olive Garden" "16:44:21"
10183 "988178" "8300" 477.42170680352586 0.1326171407787572 311898 17 "4199" "Restaurants At Hilton Garden Inn" "16:44:20" 311899 18 "4511" "Grapevine Olive Garden" "16:44:21"
8244 "988168" "8300" 477.42170680352586 0.1326171407787572 257705 17 "4199" "Restaurants At Hilton Garden Inn" "16:44:20" 257706 18 "4511" "Grapevine Olive Garden" "16:44:21"
12134 "988188" "8300" 477.42170680352586 0.1326171407787572 364757 17 "4199" "Restaurants At Hilton Garden Inn" "14:44:20" 364758 18 "4511" "Grapevine Olive Garden" "14:44:21"
10181 "988176" "8300" 477.42170680352586 0.1326171407787572 311856 17 "4199" "Restaurants At Hilton Garden Inn" "14:44:20" 311857 18 "4511" "Grapevine Olive Garden" "14:44:21"
8242 "988166" "8300" 477.42170680352586 0.1326171407787572 257663 17 "4199" "Restaurants At Hilton Garden Inn" "14:44:20" 257664 18 "4511" "Grapevine Olive Garden" "14:44:21"
12135 "988189" "8300" 477.42170680352586 0.1326171407787572 364778 17 "4199" "Restaurants At Hilton Garden Inn" "15:44:20" 364779 18 "4511" "Grapevine Olive Garden" "15:44:21"
10182 "988177" "8300" 477.42170680352586 0.1326171407787572 311877 17 "4199" "Restaurants At Hilton Garden Inn" "15:44:20" 311878 18 "4511" "Grapevine Olive Garden" "15:44:21"
8243 "988167" "8300" 477.42170680352586 0.1326171407787572 257684 17 "4199" "Restaurants At Hilton Garden Inn" "15:44:20" 257685 18 "4511" "Grapevine Olive Garden" "15:44:21"
12137 "988191" "8300" 477.42170680352586 0.1326171407787572 364820 17 "4199" "Restaurants At Hilton Garden Inn" "17:44:20" 364821 18 "4511" "Grapevine Olive Garden" "17:44:21"
10184 "988179" "8300" 477.42170680352586 0.1326171407787572 311919 17 "4199" "Restaurants At Hilton Garden Inn" "17:44:20" 311920 18 "4511" "Grapevine Olive Garden" "17:44:21"
8245 "988169" "8300" 477.42170680352586 0.1326171407787572 257726 17 "4199" "Restaurants At Hilton Garden Inn" "17:44:20" 257727 18 "4511" "Grapevine Olive Garden" "17:44:21"
10187 "1016143" "8300" 477.42170680352586 0.1326171407787572 312230 17 "4199" "Restaurants At Hilton Garden Inn" "20:44:20" 312231 18 "4511" "Grapevine Olive Garden" "20:44:21"
12140 "988194" "8300" 477.42170680352586 0.1326171407787572 364883 17 "4199" "Restaurants At Hilton Garden Inn" "20:44:20" 364884 18 "4511" "Grapevine Olive Garden" "20:44:21"
8248 "988172" "8300" 477.42170680352586 0.1326171407787572 257789 17 "4199" "Restaurants At Hilton Garden Inn" "20:44:20" 257790 18 "4511" "Grapevine Olive Garden" "20:44:21"
10186 "1016144" "8300" 477.42170680352586 0.1326171407787572 312251 17 "4199" "Restaurants At Hilton Garden Inn" "19:44:20" 312252 18 "4511" "Grapevine Olive Garden" "19:44:21"
12139 "988193" "8300" 477.42170680352586 0.1326171407787572 364862 17 "4199" "Restaurants At Hilton Garden Inn" "19:44:20" 364863 18 "4511" "Grapevine Olive Garden" "19:44:21"
8247 "988171" "8300" 477.42170680352586 0.1326171407787572 257768 17 "4199" "Restaurants At Hilton Garden Inn" "19:44:20" 257769 18 "4511" "Grapevine Olive Garden" "19:44:21"
10179 "988183" "8300" 477.42170680352586 0.1326171407787572 311961 17 "4199" "Restaurants At Hilton Garden Inn" "12:44:20" 311962 18 "4511" "Grapevine Olive Garden" "12:44:21"
12132 "988186" "8300" 477.42170680352586 0.1326171407787572 364715 17 "4199" "Restaurants At Hilton Garden Inn" "12:44:20" 364716 18 "4511" "Grapevine Olive Garden" "12:44:21"
8240 "988174" "8300" 477.42170680352586 0.1326171407787572 257831 17 "4199" "Restaurants At Hilton Garden Inn" "12:44:20" 257832 18 "4511" "Grapevine Olive Garden" "12:44:21"
12131 "988185" "8300" 477.42170680352586 0.1326171407787572 364694 17 "4199" "Restaurants At Hilton Garden Inn" "11:44:20" 364695 18 "4511" "Grapevine Olive Garden" "11:44:21"
10178 "988184" "8300" 477.42170680352586 0.1326171407787572 311982 17 "4199" "Restaurants At Hilton Garden Inn" "11:44:20" 311983 18 "4511" "Grapevine Olive Garden" "11:44:21"
8239 "988165" "8300" 477.42170680352586 0.1326171407787572 257642 17 "4199" "Restaurants At Hilton Garden Inn" "11:44:20" 257643 18 "4511" "Grapevine Olive Garden" "11:44:21"
12138 "988192" "8300" 477.42170680352586 0.1326171407787572 364841 17 "4199" "Restaurants At Hilton Garden Inn" "18:44:20" 364842 18 "4511" "Grapevine Olive Garden" "18:44:21"
10185 "988180" "8300" 477.42170680352586 0.1326171407787572 311940 17 "4199" "Restaurants At Hilton Garden Inn" "18:44:20" 311941 18 "4511" "Grapevine Olive Garden" "18:44:21"
8246 "988170" "8300" 477.42170680352586 0.1326171407787572 257747 17 "4199" "Restaurants At Hilton Garden Inn" "18:44:20" 257748 18 "4511" "Grapevine Olive Garden" "18:44:21"
12133 "988187" "8300" 477.42170680352586 0.1326171407787572 364736 17 "4199" "Restaurants At Hilton Garden Inn" "13:44:20" 364737 18 "4511" "Grapevine Olive Garden" "13:44:21"
10180 "988175" "8300" 477.42170680352586 0.1326171407787572 311835 17 "4199" "Restaurants At Hilton Garden Inn" "13:44:20" 311836 18 "4511" "Grapevine Olive Garden" "13:44:21"
8241 "988173" "8300" 477.42170680352586 0.1326171407787572 257810 17 "4199" "Restaurants At Hilton Garden Inn" "13:44:20" 257811 18 "4511" "Grapevine Olive Garden" "13:44:21"
missing_feed_contact_email_and_url WARNING 1

missing_feed_contact_email_and_url

Best Practices for feed_info.txt suggest providing at least one of feed_contact_email and feed_contact_url.

You can see more about this notice here.

csvRowNumber (?) The row number of the validated record.
2
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" "FAA & HWY 360" 1437
route_color_contrast WARNING 2

route_color_contrast

Insufficient route color contrast.

A route's color and route_text_color should be contrasting.

You can see more about this notice here.

routeId (?) The id of the faulty record. csvRowNumber (?) The row number of the faulty record. routeColor (?) The faulty record's HTML route color. routeTextColor (?) The faulty record's HTML route text color.
"8300" 68 "#0000FF" "#000000"
"8304" 73 "#800080" "#000000"
route_long_name_contains_short_name WARNING 8

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`.
"7704" 8 "Orange Line" "Orange Line"
"7706" 10 "Blue Line" "Blue Line"
"7732" 33 "BLUE" "Blue Route"
"7737" 36 "TEXRail" "TEXRail"
"8272" 43 "Orange Line" "Orange Line"
"8274" 45 "Blue Line" "Blue Line"
"8300" 68 "BLUE" "Blue Route"
"8305" 74 "TEXRail" "TEXRail"
stop_too_far_from_shape WARNING 2

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.
8105 "34154" "987909" 256014 "1443" "28th & Commerce" [32.795219,-97.34909] 193.42407504843203
8081 "34153" "987885" 255252 "2359" "28th & Commerce" [32.795219,-97.34909] 170.19053691373227
unknown_column INFO 3

unknown_column

A column name is unknown.

You can see more about this notice here.

filename (?) The name of the faulty file. fieldName (?) The name of the unknown column. index (?) The index of the faulty column.
"rider_categories.txt" "min_age" 4
"rider_categories.txt" "max_age" 5
"routes.txt" "cemv_support" 11