lawrence-berkeley-national-lab — Enhanced Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-05-04T15:44:57Z,
for the dataset file:///shared/lawrence-berkeley-national-lab_559012dd.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included


Feed Info


Publisher Name:
Busmaps.com
Publisher URL:
https://busmaps.com
Feed Language:
English
Feed Start Date:
2023-02-01
Feed End Date:
2027-05-31

Files included


  1. agency.txt
  2. calendar.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: 7
  • Shapes: 18
  • Stops: 116
  • Trips: 336

Specification Compliance report

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

Notice Code Severity Total
fast_travel_between_consecutive_stops WARNING 12

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.
246 "105186-51c51375-ffe8-42b4-8e0f-19076834f512" "105186-d6f2f03f-848b-4ae9-8ab3-419558e59993" 226.49280332627222 0.31457333795315584 3604 12 "105186-48" "B48 Firehouse" "09:30:55" 3605 13 "105186-54" "B23 Cafeteria" "09:31:00"
249 "105186-4ec98624-4408-460a-b562-9a487b89492a" "105186-d6f2f03f-848b-4ae9-8ab3-419558e59993" 226.49280332627222 0.31457333795315584 3661 12 "105186-48" "B48 Firehouse" "06:30:55" 3662 13 "105186-54" "B23 Cafeteria" "06:31:00"
247 "105186-9c945f63-9c97-4ed5-bf83-bda39000399a" "105186-d6f2f03f-848b-4ae9-8ab3-419558e59993" 226.49280332627222 0.31457333795315584 3623 12 "105186-48" "B48 Firehouse" "08:30:55" 3624 13 "105186-54" "B23 Cafeteria" "08:31:00"
248 "105186-09a4d4d3-0b73-4c6b-9207-0fe00f3a5174" "105186-d6f2f03f-848b-4ae9-8ab3-419558e59993" 226.49280332627222 0.31457333795315584 3642 12 "105186-48" "B48 Firehouse" "07:30:55" 3643 13 "105186-54" "B23 Cafeteria" "07:31:00"
185 "105186-63367b3f-decb-4667-8018-b39a114ba019" "105186-9c5a4451-0e7d-4131-8c28-ad8d6454a447" 151.93192411650602 0.4642364348004351 2696 18 "105186-117" "MLK/Hopkins" "11:25:49" 2697 19 "105186-118" "MLK/Rose" "11:26:00"
187 "105186-4d0b3b7a-59a7-4858-a229-19a69e9f3f33" "105186-9c5a4451-0e7d-4131-8c28-ad8d6454a447" 151.93192411650602 0.4642364348004351 2748 18 "105186-117" "MLK/Hopkins" "09:23:49" 2749 19 "105186-118" "MLK/Rose" "09:24:00"
189 "105186-0444ff5e-b678-4781-a435-1c672d3f1c05" "105186-9c5a4451-0e7d-4131-8c28-ad8d6454a447" 151.93192411650602 0.4642364348004351 2800 18 "105186-117" "MLK/Hopkins" "06:33:49" 2801 19 "105186-118" "MLK/Rose" "06:34:00"
188 "105186-375be9b2-13fe-4f09-a1c5-5171fb2fa4cf" "105186-9c5a4451-0e7d-4131-8c28-ad8d6454a447" 151.93192411650602 0.4642364348004351 2774 18 "105186-117" "MLK/Hopkins" "08:23:49" 2775 19 "105186-118" "MLK/Rose" "08:24:00"
245 "105186-d31e5fcf-54ea-4548-9d87-9ddc8873c2f2" "105186-d6f2f03f-848b-4ae9-8ab3-419558e59993" 226.49280332627222 0.31457333795315584 3585 12 "105186-48" "B48 Firehouse" "10:30:55" 3586 13 "105186-54" "B23 Cafeteria" "10:31:00"
186 "105186-80b83855-04e6-4bd0-8030-7ef71f7d793b" "105186-9c5a4451-0e7d-4131-8c28-ad8d6454a447" 151.93192411650602 0.4642364348004351 2722 18 "105186-117" "MLK/Hopkins" "10:25:49" 2723 19 "105186-118" "MLK/Rose" "10:26:00"
190 "105186-1ae459b1-b92b-424c-a76a-b260577ca08d" "105186-9c5a4451-0e7d-4131-8c28-ad8d6454a447" 151.93192411650602 0.4642364348004351 2826 18 "105186-117" "MLK/Hopkins" "07:25:49" 2827 19 "105186-118" "MLK/Rose" "07:26:00"
244 "105186-7ec786f1-dafc-41d9-bd8e-2dd961bfb6d8" "105186-d6f2f03f-848b-4ae9-8ab3-419558e59993" 226.49280332627222 0.31457333795315584 3566 12 "105186-48" "B48 Firehouse" "11:30:55" 3567 13 "105186-54" "B23 Cafeteria" "11:31:00"
route_long_name_contains_short_name WARNING 2

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`.
"105186-d13e3546-6a12-472c-b83f-6bd2c7ecc58c" 4 "Potter" "Potter Route"
"105186-9c5a4451-0e7d-4131-8c28-ad8d6454a447" 7 "North Berkeley" "North Berkeley Route Outbound"
route_short_name_too_long WARNING 2

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`.
"105186-a1012f01-700c-4121-b25f-52afbb10ac1d" 2 "Rim Way Garage"
"105186-9c5a4451-0e7d-4131-8c28-ad8d6454a447" 7 "North Berkeley"