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dq2-great2 — Enhanced Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 8.0.1 at 2026-11-06T20:05:43Z,
for the dataset file:///shared/dq2-great2_cadd0900.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:
2024-01-01
Feed End Date:
2027-10-28

Files included

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

Counts

  • Agencies: 1
  • Blocks: 12
  • Routes: 6
  • Shapes: 7
  • Stops: 251
  • Trips: 150

Specification Compliance report

86 notices reported (0 errors, 86 warnings, 0 infos)

Notice Code Severity Total
fast_travel_between_consecutive_stops WARNING 44

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.
55 "105190-30" "105190-Rt3" 247.86289779702662 2.065524148308555 2471 29 "105190-33170" "30115 Williams St & Lena Ln" "10:04:00" 2472 30 "105190-33180" "30125 Dickisnon Ave & Tarrington Way" "10:04:30"
65 "105190-92" "105190-Rt3" 247.86289779702662 2.065524148308555 2471 29 "105190-33170" "30115 Williams St & Lena Ln" "10:04:00" 2472 30 "105190-33180" "30125 Dickisnon Ave & Tarrington Way" "10:04:30"
77 "105190-38" "105190-Rt4" 179.81157499329635 1.498429791610803 3477 12 "105190-34005" "40045 N. Greene St & 1st St" "08:35:30" 3478 13 "105190-34010" "40050 N. Greene St & Dudley St" "08:36:00"
52 "105190-33" "105190-Rt3" 247.86289779702662 2.065524148308555 2345 29 "105190-33170" "30115 Williams St & Lena Ln" "13:04:00" 2346 30 "105190-33180" "30125 Dickisnon Ave & Tarrington Way" "13:04:30"
62 "105190-95" "105190-Rt3" 247.86289779702662 2.065524148308555 2345 29 "105190-33170" "30115 Williams St & Lena Ln" "13:04:00" 2346 30 "105190-33180" "30125 Dickisnon Ave & Tarrington Way" "13:04:30"
80 "105190-106" "105190-Rt4" 179.81157499329635 1.498429791610803 3630 12 "105190-34005" "40045 N. Greene St & 1st St" "17:35:30" 3631 13 "105190-34010" "40050 N. Greene St & Dudley St" "17:36:00"
68 "105190-68" "105190-Rt4" 179.81157499329635 1.498429791610803 3630 12 "105190-34005" "40045 N. Greene St & 1st St" "17:35:30" 3631 13 "105190-34010" "40050 N. Greene St & Dudley St" "17:36:00"
79 "105190-Route_4" "105190-Rt4" 179.81157499329635 1.498429791610803 3579 12 "105190-34005" "40045 N. Greene St & 1st St" "06:35:30" 3580 13 "105190-34010" "40050 N. Greene St & Dudley St" "06:36:00"
66 "105190-70" "105190-Rt4" 179.81157499329635 1.498429791610803 2916 12 "105190-34005" "40045 N. Greene St & 1st St" "19:35:30" 2917 13 "105190-34010" "40050 N. Greene St & Dudley St" "19:36:00"
75 "105190-40" "105190-Rt4" 179.81157499329635 1.498429791610803 3375 12 "105190-34005" "40045 N. Greene St & 1st St" "10:35:30" 3376 13 "105190-34010" "40050 N. Greene St & Dudley St" "10:36:00"
86 "105190-100" "105190-Rt4" 179.81157499329635 1.498429791610803 3375 12 "105190-34005" "40045 N. Greene St & 1st St" "10:35:30" 3376 13 "105190-34010" "40050 N. Greene St & Dudley St" "10:36:00"
71 "105190-44" "105190-Rt4" 179.81157499329635 1.498429791610803 3171 12 "105190-34005" "40045 N. Greene St & 1st St" "14:35:30" 3172 13 "105190-34010" "40050 N. Greene St & Dudley St" "14:36:00"
82 "105190-104" "105190-Rt4" 179.81157499329635 1.498429791610803 3171 12 "105190-34005" "40045 N. Greene St & 1st St" "14:35:30" 3172 13 "105190-34010" "40050 N. Greene St & Dudley St" "14:36:00"
49 "105190-36" "105190-Rt3" 247.86289779702662 2.065524148308555 2219 29 "105190-33170" "30115 Williams St & Lena Ln" "16:04:00" 2220 30 "105190-33180" "30125 Dickisnon Ave & Tarrington Way" "16:04:30"
59 "105190-98" "105190-Rt3" 247.86289779702662 2.065524148308555 2219 29 "105190-33170" "30115 Williams St & Lena Ln" "16:04:00" 2220 30 "105190-33180" "30125 Dickisnon Ave & Tarrington Way" "16:04:30"
54 "105190-31" "105190-Rt3" 247.86289779702662 2.065524148308555 2429 29 "105190-33170" "30115 Williams St & Lena Ln" "11:04:00" 2430 30 "105190-33180" "30125 Dickisnon Ave & Tarrington Way" "11:04:30"
64 "105190-93" "105190-Rt3" 247.86289779702662 2.065524148308555 2429 29 "105190-33170" "30115 Williams St & Lena Ln" "11:04:00" 2430 30 "105190-33180" "30125 Dickisnon Ave & Tarrington Way" "11:04:30"
74 "105190-41" "105190-Rt4" 179.81157499329635 1.498429791610803 3324 12 "105190-34005" "40045 N. Greene St & 1st St" "11:35:30" 3325 13 "105190-34010" "40050 N. Greene St & Dudley St" "11:36:00"
85 "105190-101" "105190-Rt4" 179.81157499329635 1.498429791610803 3324 12 "105190-34005" "40045 N. Greene St & 1st St" "11:35:30" 3325 13 "105190-34010" "40050 N. Greene St & Dudley St" "11:36:00"
70 "105190-45" "105190-Rt4" 179.81157499329635 1.498429791610803 3120 12 "105190-34005" "40045 N. Greene St & 1st St" "15:35:30" 3121 13 "105190-34010" "40050 N. Greene St & Dudley St" "15:36:00"
88 "105190-10591778183184737" "105190-Rt4" 179.81157499329635 1.498429791610803 3120 12 "105190-34005" "40045 N. Greene St & 1st St" "15:35:30" 3121 13 "105190-34010" "40050 N. Greene St & Dudley St" "15:36:00"
57 "105190-63" "105190-Rt3" 247.86289779702662 2.065524148308555 2555 29 "105190-33170" "30115 Williams St & Lena Ln" "08:04:00" 2556 30 "105190-33180" "30125 Dickisnon Ave & Tarrington Way" "08:04:30"
73 "105190-42" "105190-Rt4" 179.81157499329635 1.498429791610803 3273 12 "105190-34005" "40045 N. Greene St & 1st St" "12:35:30" 3274 13 "105190-34010" "40050 N. Greene St & Dudley St" "12:36:00"
84 "105190-102" "105190-Rt4" 179.81157499329635 1.498429791610803 3273 12 "105190-34005" "40045 N. Greene St & 1st St" "12:35:30" 3274 13 "105190-34010" "40050 N. Greene St & Dudley St" "12:36:00"
58 "105190-Route_3" "105190-Rt3" 247.86289779702662 2.065524148308555 2597 29 "105190-33170" "30115 Williams St & Lena Ln" "07:04:00" 2598 30 "105190-33180" "30125 Dickisnon Ave & Tarrington Way" "07:04:30"
72 "105190-43" "105190-Rt4" 179.81157499329635 1.498429791610803 3222 12 "105190-34005" "40045 N. Greene St & 1st St" "13:35:30" 3223 13 "105190-34010" "40050 N. Greene St & Dudley St" "13:36:00"
83 "105190-103" "105190-Rt4" 179.81157499329635 1.498429791610803 3222 12 "105190-34005" "40045 N. Greene St & 1st St" "13:35:30" 3223 13 "105190-34010" "40050 N. Greene St & Dudley St" "13:36:00"
51 "105190-34" "105190-Rt3" 247.86289779702662 2.065524148308555 2303 29 "105190-33170" "30115 Williams St & Lena Ln" "14:04:00" 2304 30 "105190-33180" "30125 Dickisnon Ave & Tarrington Way" "14:04:30"
61 "105190-96" "105190-Rt3" 247.86289779702662 2.065524148308555 2303 29 "105190-33170" "30115 Williams St & Lena Ln" "14:04:00" 2304 30 "105190-33180" "30125 Dickisnon Ave & Tarrington Way" "14:04:30"
53 "105190-32" "105190-Rt3" 247.86289779702662 2.065524148308555 2387 29 "105190-33170" "30115 Williams St & Lena Ln" "12:04:00" 2388 30 "105190-33180" "30125 Dickisnon Ave & Tarrington Way" "12:04:30"
63 "105190-94" "105190-Rt3" 247.86289779702662 2.065524148308555 2387 29 "105190-33170" "30115 Williams St & Lena Ln" "12:04:00" 2388 30 "105190-33180" "30125 Dickisnon Ave & Tarrington Way" "12:04:30"
78 "105190-67" "105190-Rt4" 179.81157499329635 1.498429791610803 3528 12 "105190-34005" "40045 N. Greene St & 1st St" "07:35:30" 3529 13 "105190-34010" "40050 N. Greene St & Dudley St" "07:36:00"
50 "105190-35" "105190-Rt3" 247.86289779702662 2.065524148308555 2261 29 "105190-33170" "30115 Williams St & Lena Ln" "15:04:00" 2262 30 "105190-33180" "30125 Dickisnon Ave & Tarrington Way" "15:04:30"
60 "105190-97" "105190-Rt3" 247.86289779702662 2.065524148308555 2261 29 "105190-33170" "30115 Williams St & Lena Ln" "15:04:00" 2262 30 "105190-33180" "30125 Dickisnon Ave & Tarrington Way" "15:04:30"
76 "105190-39" "105190-Rt4" 179.81157499329635 1.498429791610803 3426 12 "105190-34005" "40045 N. Greene St & 1st St" "09:35:30" 3427 13 "105190-34010" "40050 N. Greene St & Dudley St" "09:36:00"
87 "105190-99" "105190-Rt4" 179.81157499329635 1.498429791610803 3426 12 "105190-34005" "40045 N. Greene St & 1st St" "09:35:30" 3427 13 "105190-34010" "40050 N. Greene St & Dudley St" "09:36:00"
67 "105190-69" "105190-Rt4" 179.81157499329635 1.498429791610803 2967 12 "105190-34005" "40045 N. Greene St & 1st St" "18:35:30" 2968 13 "105190-34010" "40050 N. Greene St & Dudley St" "18:36:00"
45 "105190-66" "105190-Rt3" 247.86289779702662 2.065524148308555 2051 29 "105190-33170" "30115 Williams St & Lena Ln" "20:04:00" 2052 30 "105190-33180" "30125 Dickisnon Ave & Tarrington Way" "20:04:30"
46 "105190-65" "105190-Rt3" 247.86289779702662 2.065524148308555 2093 29 "105190-33170" "30115 Williams St & Lena Ln" "19:04:00" 2094 30 "105190-33180" "30125 Dickisnon Ave & Tarrington Way" "19:04:30"
47 "105190-64" "105190-Rt3" 247.86289779702662 2.065524148308555 2135 29 "105190-33170" "30115 Williams St & Lena Ln" "18:04:00" 2136 30 "105190-33180" "30125 Dickisnon Ave & Tarrington Way" "18:04:30"
56 "105190-29" "105190-Rt3" 247.86289779702662 2.065524148308555 2513 29 "105190-33170" "30115 Williams St & Lena Ln" "09:04:00" 2514 30 "105190-33180" "30125 Dickisnon Ave & Tarrington Way" "09:04:30"
48 "105190-37" "105190-Rt3" 247.86289779702662 2.065524148308555 2177 29 "105190-33170" "30115 Williams St & Lena Ln" "17:04:00" 2178 30 "105190-33180" "30125 Dickisnon Ave & Tarrington Way" "17:04:30"
69 "105190-46" "105190-Rt4" 179.81157499329635 1.498429791610803 3069 12 "105190-34005" "40045 N. Greene St & 1st St" "16:35:30" 3070 13 "105190-34010" "40050 N. Greene St & Dudley St" "16:36:00"
81 "105190-105" "105190-Rt4" 179.81157499329635 1.498429791610803 3069 12 "105190-34005" "40045 N. Greene St & 1st St" "16:35:30" 3070 13 "105190-34010" "40050 N. Greene St & Dudley St" "16:36:00"
mixed_case_recommended_field WARNING 42

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.
"trips.txt" "trip_short_name" "19:25:00-5out" 89
"trips.txt" "trip_short_name" "18:25:00-5out" 90
"trips.txt" "trip_short_name" "17:25:00-5out" 91
"trips.txt" "trip_short_name" "7:25:00-5out" 92
"trips.txt" "trip_short_name" "6:25:00-5out" 93
"trips.txt" "trip_short_name" "8:25:00-5out" 94
"trips.txt" "trip_short_name" "19:25:00-5in" 95
"trips.txt" "trip_short_name" "18:25:00-5in" 96
"trips.txt" "trip_short_name" "17:25:00-5in" 97
"trips.txt" "trip_short_name" "16:25:00-5in" 98
"trips.txt" "trip_short_name" "15:25:00-5in" 99
"trips.txt" "trip_short_name" "14:25:00-5in" 100
"trips.txt" "trip_short_name" "13:25:00-5in" 101
"trips.txt" "trip_short_name" "12:25:00-5in" 102
"trips.txt" "trip_short_name" "11:25:00-5in" 103
"trips.txt" "trip_short_name" "10:25:00-5in" 104
"trips.txt" "trip_short_name" "9:25:00-5in" 105
"trips.txt" "trip_short_name" "8:25:00-5in" 106
"trips.txt" "trip_short_name" "7:25:00-5in" 107
"trips.txt" "trip_short_name" "6:25:00-5in" 108
"trips.txt" "trip_short_name" "15:25:00-5in" 109
"trips.txt" "trip_short_name" "14:25:00-5in" 110
"trips.txt" "trip_short_name" "13:25:00-5in" 111
"trips.txt" "trip_short_name" "12:25:00-5in" 112
"trips.txt" "trip_short_name" "11:25:00-5in" 113
"trips.txt" "trip_short_name" "10:25:00-5in" 114
"trips.txt" "trip_short_name" "9:25:00-5in" 115
"trips.txt" "trip_short_name" "11:25:00-5out" 137
"trips.txt" "trip_short_name" "12:25:00-5out" 138
"trips.txt" "trip_short_name" "13:25:00-5out" 139
"trips.txt" "trip_short_name" "14:25:00-5out" 140
"trips.txt" "trip_short_name" "15:25:00-5out" 141
"trips.txt" "trip_short_name" "9:25:00-5out" 142
"trips.txt" "trip_short_name" "10:25:00-5out" 143
"trips.txt" "trip_short_name" "11:25:00-5out" 144
"trips.txt" "trip_short_name" "12:25:00-5out" 145
"trips.txt" "trip_short_name" "13:25:00-5out" 146
"trips.txt" "trip_short_name" "14:25:00-5out" 147
"trips.txt" "trip_short_name" "15:25:00-5out" 148
"trips.txt" "trip_short_name" "9:25:00-5out" 149
"trips.txt" "trip_short_name" "10:25:00-5out" 150
"trips.txt" "trip_short_name" "16:25:00-5out" 151