boxcar — Source Data Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-05-29T16:20:57Z,
for the dataset file:///shared/boxcar_5c223382.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:
Boxcar
Publisher URL:
https://www.boxcar.com
Feed Email:
N/A
Feed Language:
English
Feed Start Date:
2024-07-08
Feed End Date:
2027-05-28

Files included


  1. agency.txt
  2. calendar.txt
  3. feed_info.txt
  4. routes.txt
  5. stop_times.txt
  6. stops.txt
  7. trips.txt

Counts


  • Agencies: 1
  • Blocks: 0
  • Routes: 8
  • Shapes: 0
  • Stops: 85
  • Trips: 89

Specification Compliance report

16 notices reported (0 errors, 16 warnings, 0 infos)

Notice Code Severity Total
expired_calendar WARNING 2

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.
75 "svc_1152"
78 "svc_1186"
fast_travel_between_consecutive_stops WARNING 8

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.
43 "trip_255" "morris_meteor_midtown" 200.45508398401964 3.3409180664003277 582 8 "madison" "Madison" "18:24:00" 583 9 "convent_station" "Convent Station" "18:24:00"
79 "trip_743" "ridgeliner_midtown" 173.46678177542182 5.7822260591807275 942 7 "new_providence_train_station" "New Providence Train Station" "18:28:00" 943 8 "berkeley_heights" "Berkeley Heights" "18:29:00"
36 "trip_657" "morris_meteor_midtown" 995.8969664325997 33.19656554775332 498 4 "chatham" "Chatham" "08:28:00" 499 5 "port_authority" "Port Authority" "08:29:00"
76 "trip_1181" "ridgeliner_midtown" 167.6948593196717 5.589828643989057 905 1 "berkeley_heights" "Berkeley Heights" "16:30:00" 906 2 "new_providence" "New Providence" "16:31:00"
52 "trip_1164" "morris_meteor_midtown" 200.45508398401964 3.3409180664003277 663 8 "madison" "Madison" "20:46:00" 664 9 "convent_station" "Convent Station" "20:46:00"
65 "trip_1060" "raritan_rocket_midtown" 198.41916187492563 3.3069860312487607 797 8 "westfield" "Westfield" "18:42:00" 798 9 "fanwood_train_station" "Fanwood Train Station" "18:42:00"
83 "trip_938" "ridgeliner_midtown" 173.46678177542182 5.7822260591807275 974 7 "new_providence_train_station" "New Providence Train Station" "16:41:00" 975 8 "berkeley_heights" "Berkeley Heights" "16:42:00"
64 "trip_884" "raritan_rocket_midtown" 198.41916187492563 3.3069860312487607 788 8 "westfield" "Westfield" "17:47:00" 789 9 "fanwood_train_station" "Fanwood Train Station" "17:47:00"
fast_travel_between_far_stops WARNING 1

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.
36 "trip_657" "morris_meteor_midtown" 995.8969664325997 33.19656554775332 498 4 "chatham" "Chatham" "08:28:00" 499 5 "port_authority" "Port Authority" "08:29:00"
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
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" "10th & 30th" 68
"stops.txt" "stop_name" "10th & 34th" 69
route_color_contrast WARNING 1

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.
"bergen_bullet_midtown" 2 "#EAE75B" "#FFFFFF"
route_short_name_too_long WARNING 1

route_short_name_too_long

Short name of a route is too long (more than 12 characters).

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`.
"morris_meteor_lower_midtown" 5 "MM Lower Midtown"