ontario-northland-ca — Source Data Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-03-27T19:02:54Z,
for the dataset file:///shared/ontario-northland-ca_8a829a2d.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included


Feed Info


Publisher Name:
Consat Telematics AB
Publisher URL:
http://www.consat.se
Feed Email:
N/A
Feed Language:
English
Feed Start Date:
2026-03-02
Feed End Date:
2027-03-03

Files included


  1. agency.txt
  2. calendar_dates.txt
  3. feed_info.txt
  4. routes.txt
  5. shapes.txt
  6. stop_times.txt
  7. stops.txt
  8. trips.txt

Counts


  • Agencies: 1
  • Blocks: 0
  • Routes: 18
  • Shapes: 60
  • Stops: 204
  • Trips: 61

Specification Compliance report

156 notices reported (0 errors, 156 warnings, 0 infos)

Notice Code Severity Total
fast_travel_between_consecutive_stops WARNING 4

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.
21 "401:14110:22084" "401" 156.3689667987232 10.424597786581547 250 3 "127" "CHELMSFORD" "18:03:00" 251 4 "126" "DOWLING" "18:06:00"
15 "401:14110:22055" "401" 156.3689667987232 10.424597786581547 119 3 "127" "CHELMSFORD" "18:03:00" 120 4 "126" "DOWLING" "18:06:00"
21 "401:14110:22084" "401" 172.05761436392558 11.470507624261705 252 5 "125" "LEVACK" "18:21:00" 253 6 "124" "CARTIER" "18:24:00"
15 "401:14110:22055" "401" 172.05761436392558 11.470507624261705 121 5 "125" "LEVACK" "18:21:00" 122 6 "124" "CARTIER" "18:24:00"
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.
21 "401:14110:22084" "401" 156.3689667987232 10.424597786581547 250 3 "127" "CHELMSFORD" "18:03:00" 251 4 "126" "DOWLING" "18:06:00"
15 "401:14110:22055" "401" 156.3689667987232 10.424597786581547 119 3 "127" "CHELMSFORD" "18:03:00" 120 4 "126" "DOWLING" "18:06:00"
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
missing_recommended_field WARNING 18

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"
"routes.txt" 17 "agency_id"
"routes.txt" 18 "agency_id"
"routes.txt" 19 "agency_id"
mixed_case_recommended_field WARNING 131

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 131 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" "PORT SEVERN" 4
"stops.txt" "stop_name" "GORDON BAY" 6
"stops.txt" "stop_name" "HORSESHOE LAKE RD" 7
"stops.txt" "stop_name" "PARRY SOUND" 8
"stops.txt" "stop_name" "POINTE AU BARIL" 9
"stops.txt" "stop_name" "BUTLER LAKE" 10
"stops.txt" "stop_name" "KEY RIVER" 11
"stops.txt" "stop_name" "LAURENTIAN UNIVERSITY" 14
"stops.txt" "stop_name" "ARDTREA southbound" 15
"stops.txt" "stop_name" "KAHSHE LAKE RD" 17
"stops.txt" "stop_name" "PORT SYDNEY" 20
"stops.txt" "stop_name" "BURK'S FALLS" 23
"stops.txt" "stop_name" "SOUTH RIVER" 25
"stops.txt" "stop_name" "TROUT CREEK" 26
"stops.txt" "stop_name" "NORTH BAY" 28
"stops.txt" "stop_name" "EDUCATION CENTRE MAIN CAMPUS" 29
"stops.txt" "stop_name" "BYNG INLET" 30
"stops.txt" "stop_name" "HALFWAY LAKE RD" 36
"stops.txt" "stop_name" "SMOOTH ROCK FALLS" 42
"stops.txt" "stop_name" "VAL COTÉ" 50
"stops.txt" "stop_name" "TILDEN LAKE" 52
"stops.txt" "stop_name" "MARTEN RIVER" 53
"stops.txt" "stop_name" "BASS LAKE RD" 56
"stops.txt" "stop_name" "NEW LISKEARD" 59
"stops.txt" "stop_name" "KIRKLAND LAKE" 64
"stops.txt" "stop_name" "KENOGAMI northbound" 66
"stops.txt" "stop_name" "SESEKINIKA northbound" 67
"stops.txt" "stop_name" "HWY 101 - MUNICIPAL RD" 70
"stops.txt" "stop_name" "SOUTH PORCUPINE" 73
"stops.txt" "stop_name" "VAL GAGNÉ" 74
"stops.txt" "stop_name" "PORQUIS JCT" 75
"stops.txt" "stop_name" "IROQUOIS FALLS" 76
"stops.txt" "stop_name" "NELLIE LAKE" 77
"stops.txt" "stop_name" "NORTHERN COLLEGE" 78
"stops.txt" "stop_name" "STURGEON FALLS" 81
"stops.txt" "stop_name" "DEEP RIVER" 83
"stops.txt" "stop_name" "CHALK RIVER eastbound" 84
"stops.txt" "stop_name" "GEORGIAN COLLEGE" 90
"stops.txt" "stop_name" "BLIND RIVER HOSPITAL" 91
"stops.txt" "stop_name" "DEUX RIVIÈRES" 94
"stops.txt" "stop_name" "POINT ALEXANDER" 97
"stops.txt" "stop_name" "WHITE RIVER" 98
"stops.txt" "stop_name" "BATCHAWANA BAY" 100
"stops.txt" "stop_name" "GOULAIS RIVER" 101
"stops.txt" "stop_name" "SAULT AREA HOSPITAL" 103
"stops.txt" "stop_name" "SAULT COLLEGE" 104
"stops.txt" "stop_name" "GARDEN RIVER" 105
"stops.txt" "stop_name" "ECHO BAY" 106
"stops.txt" "stop_name" "BRUCE MINES" 107
"stops.txt" "stop_name" "IRON BRIDGE" 109