Search
  1. Home
  2. United States Feeds
  3. tracy-tracer
  4. Source Data Validation Report

tracy-tracer — Source Data Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 8.0.1 at 2026-06-19T23:57:15Z,
for the dataset file:///shared/tracy-tracer_9fd4997a.zip. No country code was provided.

Use this report alongside our documentation.

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: 83
  • Routes: 10
  • Shapes: 10
  • Stops: 198
  • Trips: 160

Specification Compliance report

47 notices reported (1 errors, 37 warnings, 9 infos)

Notice Code Severity Total
block_trips_with_overlapping_stop_times ERROR 1

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.
119 "602" "23" 150 "721" "27" "Z Filler" "20210802"
fast_travel_between_consecutive_stops WARNING 23

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.
132 "691" "3" 154.53232626458376 2.575538771076396 4077 45 "101" "11th Street & McDonalds" "13:20:00" 4084 52 "39" "East Street & 10th Street" "13:20:00"
3 "68" "2" 176.11068530951488 2.9351780884919147 53 22 "53" "Lowell & Astoria Gardens" "11:20:00" 61 30 "39" "East Street & 10th Street" "11:20:00"
9 "74" "2" 176.11068530951488 2.9351780884919147 233 22 "53" "Lowell & Astoria Gardens" "18:45:00" 241 30 "39" "East Street & 10th Street" "18:45:00"
15 "82" "2" 176.11068530951488 2.9351780884919147 413 22 "53" "Lowell & Astoria Gardens" "15:45:00" 421 30 "39" "East Street & 10th Street" "15:45:00"
136 "695" "3" 154.53232626458376 2.575538771076396 4285 45 "101" "11th Street & McDonalds" "17:43:00" 4292 52 "39" "East Street & 10th Street" "17:43:00"
8 "73" "2" 176.11068530951488 2.9351780884919147 203 22 "53" "Lowell & Astoria Gardens" "17:40:00" 211 30 "39" "East Street & 10th Street" "17:40:00"
11 "78" "2" 176.11068530951488 2.9351780884919147 293 22 "53" "Lowell & Astoria Gardens" "10:35:00" 301 30 "39" "East Street & 10th Street" "10:35:00"
133 "692" "3" 154.53232626458376 2.575538771076396 4129 45 "101" "11th Street & McDonalds" "14:25:00" 4136 52 "39" "East Street & 10th Street" "14:25:00"
12 "79" "2" 176.11068530951488 2.9351780884919147 323 22 "53" "Lowell & Astoria Gardens" "11:50:00" 331 30 "39" "East Street & 10th Street" "11:50:00"
131 "690" "3" 154.53232626458376 2.575538771076396 4025 45 "101" "11th Street & McDonalds" "12:11:00" 4032 52 "39" "East Street & 10th Street" "12:11:00"
7 "72" "2" 176.11068530951488 2.9351780884919147 173 22 "53" "Lowell & Astoria Gardens" "16:25:00" 181 30 "39" "East Street & 10th Street" "16:25:00"
129 "688" "3" 154.53232626458376 2.575538771076396 3921 45 "101" "11th Street & McDonalds" "10:00:00" 3928 52 "39" "East Street & 10th Street" "10:00:00"
130 "689" "3" 154.53232626458376 2.575538771076396 3973 45 "101" "11th Street & McDonalds" "11:05:00" 3980 52 "39" "East Street & 10th Street" "11:05:00"
17 "84" "2" 176.11068530951488 2.9351780884919147 473 22 "53" "Lowell & Astoria Gardens" "18:10:00" 481 30 "39" "East Street & 10th Street" "18:10:00"
2 "67" "2" 176.11068530951488 2.9351780884919147 23 22 "53" "Lowell & Astoria Gardens" "10:05:00" 31 30 "39" "East Street & 10th Street" "10:05:00"
134 "693" "3" 154.53232626458376 2.575538771076396 4181 45 "101" "11th Street & McDonalds" "15:35:00" 4188 52 "39" "East Street & 10th Street" "15:35:00"
13 "80" "2" 176.11068530951488 2.9351780884919147 353 22 "53" "Lowell & Astoria Gardens" "13:05:00" 361 30 "39" "East Street & 10th Street" "13:05:00"
16 "83" "2" 176.11068530951488 2.9351780884919147 443 22 "53" "Lowell & Astoria Gardens" "17:00:00" 451 30 "39" "East Street & 10th Street" "17:00:00"
6 "71" "2" 176.11068530951488 2.9351780884919147 143 22 "53" "Lowell & Astoria Gardens" "15:10:00" 151 30 "39" "East Street & 10th Street" "15:10:00"
135 "694" "3" 154.53232626458376 2.575538771076396 4233 45 "101" "11th Street & McDonalds" "16:40:00" 4240 52 "39" "East Street & 10th Street" "16:40:00"
5 "70" "2" 176.11068530951488 2.9351780884919147 113 22 "53" "Lowell & Astoria Gardens" "13:50:00" 121 30 "39" "East Street & 10th Street" "13:50:00"
4 "69" "2" 176.11068530951488 2.9351780884919147 83 22 "53" "Lowell & Astoria Gardens" "12:35:00" 91 30 "39" "East Street & 10th Street" "12:35:00"
137 "696" "3" 154.53232626458376 2.575538771076396 4337 45 "101" "11th Street & McDonalds" "18:43:00" 4344 52 "39" "East Street & 10th Street" "18:43:00"
fast_travel_between_far_stops WARNING 2

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.

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.
150 "721" "7" 698.6905388540046 23.289684628466816 4728 1 "1" "Tracy Transit Station" "00:00:00" 4781 54 "172" "Central Avenue /opp McDonald Park" "00:01:00"
119 "602" "7" 698.6905388540046 23.289684628466816 3355 1 "1" "Tracy Transit Station" "00:00:00" 3408 54 "172" "Central Avenue /opp McDonald Park" "00:01:00"
missing_recommended_field WARNING 10

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"
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 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" "10th/A OB" 54
service_extends_far_in_the_future INFO 9

service_extends_far_in_the_future

A service end date is more than 2 years in the future.

You can see more about this notice here.

serviceId (?) The service_id that ends far in the future. serviceWindowEndDate (?) The end date of the service (YYYY-MM-DD format).
"10" "2040-06-23"
"19" "2040-06-29"
"20" "2040-06-29"
"21" "2040-06-23"
"22" "2040-06-23"
"23" "2031-07-30"
"26" "2040-12-29"
"27" "2031-07-28"
"29" "2040-12-29"