fwtatransitdata — Source Data Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 8.0.1 at 2026-08-21T20:22:59Z,
for the dataset file:///shared/fwtatransitdata_94f8414d.zip. No country code was provided.

Use this report alongside our documentation.

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: 540
  • Routes: 34
  • Shapes: 79
  • Stops: 1611
  • Trips: 5820

Specification Compliance report

80 notices reported (0 errors, 78 warnings, 2 infos)

Notice Code Severity Total
equal_shape_distance_diff_coordinates_distance_below_threshold WARNING 38

equal_shape_distance_diff_coordinates_distance_below_threshold

Two consecutive points have equal shape_dist_traveled and different lat/lon coordinates in shapes.txt and the distance between the two points is greater than 0 but less than 1.11m.

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 small difference of coordinates (greater than 0 but less than 1.11 m distance) result in a warning.

You can see more about this notice here.

shapeId (?) The id of the faulty shape. csvRowNumber (?) The row number from `shapes.txt`. shapeDistTraveled (?) The faulty record's `shape_dist_traveled` value. shapePtSequence (?) The faulty record's `shapes.shape_pt_sequence`. prevCsvRowNumber (?) The row number from `shapes.txt` of the previous shape point. prevShapeDistTraveled (?) The previous shape point's `shape_dist_traveled` value. prevShapePtSequence (?) The previous record's `shapes.shape_pt_sequence`. actualDistanceBetweenShapePoints (?) Actual distance traveled along the shape from the first shape point to the previous shape point.
"34104" 7218 6.2953 171 7217 6.2953 170 0.30143079781609833
"34104" 7220 6.3178 173 7219 6.3178 172 0.6631218553052042
"34099" 5354 3.9912 132 5353 3.9912 131 0.6036537491627438
"34099" 5356 4.0242 134 5355 4.0242 133 0.14530228854474322
"34098" 5104 13.5751 430 5103 13.5751 429 0.14530228854474322
"34098" 5106 13.6081 432 5105 13.6081 431 0.6036537491627438
"34131" 16073 4.4847 112 16072 4.4847 111 0.6929653195056205
"34131" 16075 4.4987 114 16074 4.4987 113 0.30216524655947835
"34130" 15628 5.4601 150 15627 5.4601 149 0.4353191125249427
"34130" 15630 5.4951 152 15629 5.4951 151 0.14531773608881726
"34093" 2422 4.5022 138 2421 4.5022 137 0.6736958781878363
"34093" 2425 4.5103 141 2424 4.5103 140 0.29061223917955414
"34092" 2279 20.1189 602 2278 20.1189 601 0.692910735714134
"34092" 2281 20.1789 604 2280 20.1789 603 0.9348650811708763
"34134" 18547 18.4609 551 18546 18.4609 550 0.2807724869354095
"34134" 18549 18.4715 553 18548 18.4715 552 0.21771832531211022
"34121" 12694 10.4248 271 12693 10.4248 270 0.14524467827437845
"34121" 12696 10.4448 273 12695 10.4448 272 0.37377429672662343
"34120" 12396 6.3092 164 12395 6.3092 163 0.14524467827437845
"34120" 12398 6.3292 166 12397 6.3292 165 0.37377429672662343
"34129" 15328 10.423 317 15327 10.423 316 0.14531773608881726
"34129" 15330 10.458 319 15329 10.458 318 0.43531911252494265
"34125" 13552 1.0851 21 13551 1.0851 20 0.8712404840128521
"34125" 13554 1.2291 23 13553 1.2291 22 0.11119510161714974
"34124" 13505 10.2476 203 13504 10.2476 202 0.14524467827437845
"34124" 13507 10.2676 205 13506 10.2676 204 0.37377429672662343
"34122" 12992 10.3628 271 12991 10.3628 270 0.14524467827437845
"34122" 12994 10.3828 273 12993 10.3828 272 0.37377429672662343
"34152" 24616 8.9645 340 24615 8.9645 339 0.28058871052275886
"34152" 24618 8.9813 342 24617 8.9813 341 0.3335853034368008
"34118" 12028 5.7593 143 12027 5.7593 142 0.14524467827437845
"34118" 12030 5.7793 145 12029 5.7793 144 0.37377429672662343
"34117" 11857 5.8953 214 11856 5.8953 213 0.14524467827437845
"34117" 11859 5.9153 216 11858 5.9153 215 0.37377429672662343
"34554" 32602 10.9035 208 32601 10.9035 207 0.14524467827437845
"34554" 32604 10.9235 210 32603 10.9235 209 0.37377429672662343
"34119" 12203 5.7385 146 12202 5.7385 145 0.14524467827437845
"34119" 12205 5.7585 148 12204 5.7585 147 0.37377429672662343
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.
5727 "988190" "8300" 477.42170680352586 0.1326171407787572 173872 17 "4199" "Restaurants At Hilton Garden Inn" "16:44:20" 173873 18 "4511" "Grapevine Olive Garden" "16:44:21"
3956 "988178" "8300" 477.42170680352586 0.1326171407787572 173872 17 "4199" "Restaurants At Hilton Garden Inn" "16:44:20" 173873 18 "4511" "Grapevine Olive Garden" "16:44:21"
2162 "988168" "8300" 477.42170680352586 0.1326171407787572 173872 17 "4199" "Restaurants At Hilton Garden Inn" "16:44:20" 173873 18 "4511" "Grapevine Olive Garden" "16:44:21"
5725 "988188" "8300" 477.42170680352586 0.1326171407787572 173830 17 "4199" "Restaurants At Hilton Garden Inn" "14:44:20" 173831 18 "4511" "Grapevine Olive Garden" "14:44:21"
3954 "988176" "8300" 477.42170680352586 0.1326171407787572 173830 17 "4199" "Restaurants At Hilton Garden Inn" "14:44:20" 173831 18 "4511" "Grapevine Olive Garden" "14:44:21"
2160 "988166" "8300" 477.42170680352586 0.1326171407787572 173830 17 "4199" "Restaurants At Hilton Garden Inn" "14:44:20" 173831 18 "4511" "Grapevine Olive Garden" "14:44:21"
5726 "988189" "8300" 477.42170680352586 0.1326171407787572 173851 17 "4199" "Restaurants At Hilton Garden Inn" "15:44:20" 173852 18 "4511" "Grapevine Olive Garden" "15:44:21"
3955 "988177" "8300" 477.42170680352586 0.1326171407787572 173851 17 "4199" "Restaurants At Hilton Garden Inn" "15:44:20" 173852 18 "4511" "Grapevine Olive Garden" "15:44:21"
2161 "988167" "8300" 477.42170680352586 0.1326171407787572 173851 17 "4199" "Restaurants At Hilton Garden Inn" "15:44:20" 173852 18 "4511" "Grapevine Olive Garden" "15:44:21"
3952 "988183" "8300" 477.42170680352586 0.1326171407787572 121618 17 "4199" "Restaurants At Hilton Garden Inn" "12:44:20" 121619 18 "4511" "Grapevine Olive Garden" "12:44:21"
5723 "988186" "8300" 477.42170680352586 0.1326171407787572 121618 17 "4199" "Restaurants At Hilton Garden Inn" "12:44:20" 121619 18 "4511" "Grapevine Olive Garden" "12:44:21"
2158 "988174" "8300" 477.42170680352586 0.1326171407787572 121618 17 "4199" "Restaurants At Hilton Garden Inn" "12:44:20" 121619 18 "4511" "Grapevine Olive Garden" "12:44:21"
5722 "988185" "8300" 477.42170680352586 0.1326171407787572 173767 17 "4199" "Restaurants At Hilton Garden Inn" "11:44:20" 173768 18 "4511" "Grapevine Olive Garden" "11:44:21"
3951 "988184" "8300" 477.42170680352586 0.1326171407787572 173767 17 "4199" "Restaurants At Hilton Garden Inn" "11:44:20" 173768 18 "4511" "Grapevine Olive Garden" "11:44:21"
2157 "988165" "8300" 477.42170680352586 0.1326171407787572 173767 17 "4199" "Restaurants At Hilton Garden Inn" "11:44:20" 173768 18 "4511" "Grapevine Olive Garden" "11:44:21"
5728 "988191" "8300" 477.42170680352586 0.1326171407787572 173893 17 "4199" "Restaurants At Hilton Garden Inn" "17:44:20" 173894 18 "4511" "Grapevine Olive Garden" "17:44:21"
3957 "988179" "8300" 477.42170680352586 0.1326171407787572 173893 17 "4199" "Restaurants At Hilton Garden Inn" "17:44:20" 173894 18 "4511" "Grapevine Olive Garden" "17:44:21"
2163 "988169" "8300" 477.42170680352586 0.1326171407787572 173893 17 "4199" "Restaurants At Hilton Garden Inn" "17:44:20" 173894 18 "4511" "Grapevine Olive Garden" "17:44:21"
3960 "1016143" "8300" 477.42170680352586 0.1326171407787572 121669 17 "4199" "Restaurants At Hilton Garden Inn" "20:44:20" 121670 18 "4511" "Grapevine Olive Garden" "20:44:21"
5731 "988194" "8300" 477.42170680352586 0.1326171407787572 121669 17 "4199" "Restaurants At Hilton Garden Inn" "20:44:20" 121670 18 "4511" "Grapevine Olive Garden" "20:44:21"
2166 "988172" "8300" 477.42170680352586 0.1326171407787572 121669 17 "4199" "Restaurants At Hilton Garden Inn" "20:44:20" 121670 18 "4511" "Grapevine Olive Garden" "20:44:21"
5729 "988192" "8300" 477.42170680352586 0.1326171407787572 173914 17 "4199" "Restaurants At Hilton Garden Inn" "18:44:20" 173915 18 "4511" "Grapevine Olive Garden" "18:44:21"
3958 "988180" "8300" 477.42170680352586 0.1326171407787572 173914 17 "4199" "Restaurants At Hilton Garden Inn" "18:44:20" 173915 18 "4511" "Grapevine Olive Garden" "18:44:21"
2164 "988170" "8300" 477.42170680352586 0.1326171407787572 173914 17 "4199" "Restaurants At Hilton Garden Inn" "18:44:20" 173915 18 "4511" "Grapevine Olive Garden" "18:44:21"
5724 "988187" "8300" 477.42170680352586 0.1326171407787572 173809 17 "4199" "Restaurants At Hilton Garden Inn" "13:44:20" 173810 18 "4511" "Grapevine Olive Garden" "13:44:21"
3953 "988175" "8300" 477.42170680352586 0.1326171407787572 173809 17 "4199" "Restaurants At Hilton Garden Inn" "13:44:20" 173810 18 "4511" "Grapevine Olive Garden" "13:44:21"
2159 "988173" "8300" 477.42170680352586 0.1326171407787572 173809 17 "4199" "Restaurants At Hilton Garden Inn" "13:44:20" 173810 18 "4511" "Grapevine Olive Garden" "13:44:21"
3959 "1016144" "8300" 477.42170680352586 0.1326171407787572 121690 17 "4199" "Restaurants At Hilton Garden Inn" "19:44:20" 121691 18 "4511" "Grapevine Olive Garden" "19:44:21"
5730 "988193" "8300" 477.42170680352586 0.1326171407787572 121690 17 "4199" "Restaurants At Hilton Garden Inn" "19:44:20" 121691 18 "4511" "Grapevine Olive Garden" "19:44:21"
2165 "988171" "8300" 477.42170680352586 0.1326171407787572 121690 17 "4199" "Restaurants At Hilton Garden Inn" "19:44:20" 121691 18 "4511" "Grapevine Olive Garden" "19:44:21"
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" 1432
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" 32 "#0000FF" "#000000"
"8304" 34 "#800080" "#000000"
route_long_name_contains_short_name WARNING 4

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`.
"8272" 8 "Orange Line" "Orange Line"
"8274" 10 "Blue Line" "Blue Line"
"8300" 32 "BLUE" "Blue Route"
"8305" 35 "TEXRail" "TEXRail"
stop_too_far_from_shape_using_user_distance WARNING 1

stop_too_far_from_shape_using_user_distance

Stop time too far from shape.

A stop time entry that is a large distance away from the location of the shape in shapes.txt as defined by shape_dist_traveled values.

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.
971 "34106" "1033621" 33876 "4462" "Lancaster & Throckmorton" [32.74765,-97.32547000000001] 248.2042241208394
stops_match_shape_out_of_order WARNING 1

stops_match_shape_out_of_order

Two stop entries are different than their arrival-departure order defined by shapes.txt.

This could indicate a problem with the location of the stops, the path of the shape, or the sequence of the stops for their trip.

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. stopTimeCsvRowNumber1 (?) The row number of the first faulty record from `stop_times.txt`. stopId1 (?) The id of the first stop that is referred to. stopName1 (?) The name of the first stop that is referred to. match1 (?) Latitude and longitude pair of the first matching location. stopTimeCsvRowNumber2 (?) The row number of the second faulty record from `stop_times.txt`. stopId2 (?) The id of the second stop that is referred to. stopName2 (?) The name of the second stop that is referred to. match2 (?) Latitude and longitude pair of the second matching location.
971 "34106" "1033621" 33876 "4462" "Lancaster & Throckmorton" [32.74661476284326,-97.32776185084214] 33875 "3521" "Sheraton Hotel" [32.74750070954176,-97.32535539939906]
unknown_column INFO 2

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