GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-05-04T15:04:14Z,
for the dataset file:///shared/constantactbussa_12b1b8d6.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 Email:
alex@busmaps.com
Feed Language:
Multiple languages
Feed Start Date:
2026-04-01
Feed End Date:
2026-06-27

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: 23
  • Shapes: 46
  • Stops: 372
  • Trips: 7864

Specification Compliance report

149 notices reported (0 errors, 149 warnings, 0 infos)

Notice Code Severity Total
fast_travel_between_consecutive_stops WARNING 147

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.

Only the first 50 of 147 affected records are displayed below.

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.
2142 "103869-TRIP_S_44_0_55" "103869-44" 154.75292604711134 2.5792154341185225 53997 14 "103869-1105" "Sp.Clinic de Boli Infect." "16:32:00" 53998 15 "103869-1315" "Petru Cercel" "16:32:00"
1739 "103869-TRIP_D_44_0_55" "103869-44" 154.75292604711134 2.5792154341185225 45128 14 "103869-1105" "Sp.Clinic de Boli Infect." "16:32:00" 45129 15 "103869-1315" "Petru Cercel" "16:32:00"
2116 "103869-TRIP_S_44_0_29" "103869-44" 172.25291833228312 2.8708819722047187 53510 14 "103869-1105" "Sp.Clinic de Boli Infect." "11:40:00" 53511 15 "103869-1317" "Col. Nat. Militar A. Ioan Cuza" "11:40:00"
1713 "103869-TRIP_D_44_0_29" "103869-44" 172.25291833228312 2.8708819722047187 44641 14 "103869-1105" "Sp.Clinic de Boli Infect." "11:40:00" 44642 15 "103869-1317" "Col. Nat. Militar A. Ioan Cuza" "11:40:00"
2099 "103869-TRIP_S_44_0_11" "103869-44" 154.75292604711134 2.5792154341185225 53191 14 "103869-1105" "Sp.Clinic de Boli Infect." "08:17:00" 53192 15 "103869-1315" "Petru Cercel" "08:17:00"
1696 "103869-TRIP_D_44_0_11" "103869-44" 154.75292604711134 2.5792154341185225 44322 14 "103869-1105" "Sp.Clinic de Boli Infect." "08:17:00" 44323 15 "103869-1315" "Petru Cercel" "08:17:00"
1704 "103869-TRIP_D_44_0_2" "103869-44" 172.25291833228312 2.8708819722047187 44472 14 "103869-1105" "Sp.Clinic de Boli Infect." "06:36:00" 44473 15 "103869-1317" "Col. Nat. Militar A. Ioan Cuza" "06:36:00"
2107 "103869-TRIP_S_44_0_2" "103869-44" 172.25291833228312 2.8708819722047187 53341 14 "103869-1105" "Sp.Clinic de Boli Infect." "06:36:00" 53342 15 "103869-1317" "Col. Nat. Militar A. Ioan Cuza" "06:36:00"
1743 "103869-TRIP_D_44_0_6" "103869-44" 154.75292604711134 2.5792154341185225 45204 14 "103869-1105" "Sp.Clinic de Boli Infect." "07:21:00" 45205 15 "103869-1315" "Petru Cercel" "07:21:00"
2146 "103869-TRIP_S_44_0_6" "103869-44" 154.75292604711134 2.5792154341185225 54073 14 "103869-1105" "Sp.Clinic de Boli Infect." "07:21:00" 54074 15 "103869-1315" "Petru Cercel" "07:21:00"
2118 "103869-TRIP_S_44_0_30" "103869-44" 154.75292604711134 2.5792154341185225 53547 14 "103869-1105" "Sp.Clinic de Boli Infect." "11:51:00" 53548 15 "103869-1315" "Petru Cercel" "11:51:00"
1715 "103869-TRIP_D_44_0_30" "103869-44" 154.75292604711134 2.5792154341185225 44678 14 "103869-1105" "Sp.Clinic de Boli Infect." "11:51:00" 44679 15 "103869-1315" "Petru Cercel" "11:51:00"
1885 "103869-TRIP_LV_44_0_122" "103869-44" 172.25291833228312 2.8708819722047187 48512 14 "103869-1105" "Sp.Clinic de Boli Infect." "21:18:00" 48513 15 "103869-1317" "Col. Nat. Militar A. Ioan Cuza" "21:18:00"
2148 "103869-TRIP_S_44_0_61" "103869-44" 172.25291833228312 2.8708819722047187 54111 14 "103869-1105" "Sp.Clinic de Boli Infect." "17:40:00" 54112 15 "103869-1317" "Col. Nat. Militar A. Ioan Cuza" "17:40:00"
1745 "103869-TRIP_D_44_0_61" "103869-44" 172.25291833228312 2.8708819722047187 45242 14 "103869-1105" "Sp.Clinic de Boli Infect." "17:40:00" 45243 15 "103869-1317" "Col. Nat. Militar A. Ioan Cuza" "17:40:00"
2159 "103869-TRIP_S_44_0_72" "103869-44" 154.75292604711134 2.5792154341185225 54317 14 "103869-1105" "Sp.Clinic de Boli Infect." "19:43:00" 54318 15 "103869-1315" "Petru Cercel" "19:43:00"
1756 "103869-TRIP_D_44_0_72" "103869-44" 154.75292604711134 2.5792154341185225 45448 14 "103869-1105" "Sp.Clinic de Boli Infect." "19:43:00" 45449 15 "103869-1315" "Petru Cercel" "19:43:00"
1882 "103869-TRIP_LV_44_0_119" "103869-44" 154.75292604711134 2.5792154341185225 48452 14 "103869-1105" "Sp.Clinic de Boli Infect." "20:44:00" 48453 15 "103869-1315" "Petru Cercel" "20:44:00"
2147 "103869-TRIP_S_44_0_60" "103869-44" 154.75292604711134 2.5792154341185225 54092 14 "103869-1105" "Sp.Clinic de Boli Infect." "17:28:00" 54093 15 "103869-1315" "Petru Cercel" "17:28:00"
1744 "103869-TRIP_D_44_0_60" "103869-44" 154.75292604711134 2.5792154341185225 45223 14 "103869-1105" "Sp.Clinic de Boli Infect." "17:28:00" 45224 15 "103869-1315" "Petru Cercel" "17:28:00"
2119 "103869-TRIP_S_44_0_32" "103869-44" 154.75292604711134 2.5792154341185225 53566 14 "103869-1105" "Sp.Clinic de Boli Infect." "12:13:00" 53567 15 "103869-1315" "Petru Cercel" "12:13:00"
1716 "103869-TRIP_D_44_0_32" "103869-44" 154.75292604711134 2.5792154341185225 44697 14 "103869-1105" "Sp.Clinic de Boli Infect." "12:13:00" 44698 15 "103869-1315" "Petru Cercel" "12:13:00"
2100 "103869-TRIP_S_44_0_12" "103869-44" 154.75292604711134 2.5792154341185225 53210 14 "103869-1105" "Sp.Clinic de Boli Infect." "08:28:00" 53211 15 "103869-1315" "Petru Cercel" "08:28:00"
1697 "103869-TRIP_D_44_0_12" "103869-44" 154.75292604711134 2.5792154341185225 44341 14 "103869-1105" "Sp.Clinic de Boli Infect." "08:28:00" 44342 15 "103869-1315" "Petru Cercel" "08:28:00"
1724 "103869-TRIP_D_44_0_4" "103869-44" 154.75292604711134 2.5792154341185225 44847 14 "103869-1105" "Sp.Clinic de Boli Infect." "06:58:00" 44848 15 "103869-1315" "Petru Cercel" "06:58:00"
2127 "103869-TRIP_S_44_0_4" "103869-44" 154.75292604711134 2.5792154341185225 53716 14 "103869-1105" "Sp.Clinic de Boli Infect." "06:58:00" 53717 15 "103869-1315" "Petru Cercel" "06:58:00"
2141 "103869-TRIP_S_44_0_54" "103869-44" 154.75292604711134 2.5792154341185225 53978 14 "103869-1105" "Sp.Clinic de Boli Infect." "16:21:00" 53979 15 "103869-1315" "Petru Cercel" "16:21:00"
1738 "103869-TRIP_D_44_0_54" "103869-44" 154.75292604711134 2.5792154341185225 45109 14 "103869-1105" "Sp.Clinic de Boli Infect." "16:21:00" 45110 15 "103869-1315" "Petru Cercel" "16:21:00"
1714 "103869-TRIP_D_44_0_3" "103869-44" 154.75292604711134 2.5792154341185225 44659 14 "103869-1105" "Sp.Clinic de Boli Infect." "06:47:00" 44660 15 "103869-1315" "Petru Cercel" "06:47:00"
2117 "103869-TRIP_S_44_0_3" "103869-44" 154.75292604711134 2.5792154341185225 53528 14 "103869-1105" "Sp.Clinic de Boli Infect." "06:47:00" 53529 15 "103869-1315" "Petru Cercel" "06:47:00"
2155 "103869-TRIP_S_44_0_69" "103869-44" 172.25291833228312 2.8708819722047187 54242 14 "103869-1105" "Sp.Clinic de Boli Infect." "19:10:00" 54243 15 "103869-1317" "Col. Nat. Militar A. Ioan Cuza" "19:10:00"
1752 "103869-TRIP_D_44_0_69" "103869-44" 172.25291833228312 2.8708819722047187 45373 14 "103869-1105" "Sp.Clinic de Boli Infect." "19:10:00" 45374 15 "103869-1317" "Col. Nat. Militar A. Ioan Cuza" "19:10:00"
2139 "103869-TRIP_S_44_0_52" "103869-44" 154.75292604711134 2.5792154341185225 53941 14 "103869-1105" "Sp.Clinic de Boli Infect." "15:58:00" 53942 15 "103869-1315" "Petru Cercel" "15:58:00"
1736 "103869-TRIP_D_44_0_52" "103869-44" 154.75292604711134 2.5792154341185225 45072 14 "103869-1105" "Sp.Clinic de Boli Infect." "15:58:00" 45073 15 "103869-1315" "Petru Cercel" "15:58:00"
2111 "103869-TRIP_S_44_0_23" "103869-44" 154.75292604711134 2.5792154341185225 53415 14 "103869-1105" "Sp.Clinic de Boli Infect." "10:32:00" 53416 15 "103869-1315" "Petru Cercel" "10:32:00"
1708 "103869-TRIP_D_44_0_23" "103869-44" 154.75292604711134 2.5792154341185225 44546 14 "103869-1105" "Sp.Clinic de Boli Infect." "10:32:00" 44547 15 "103869-1315" "Petru Cercel" "10:32:00"
1879 "103869-TRIP_LV_44_0_116" "103869-44" 154.75292604711134 2.5792154341185225 48396 14 "103869-1105" "Sp.Clinic de Boli Infect." "20:10:00" 48397 15 "103869-1315" "Petru Cercel" "20:10:00"
2130 "103869-TRIP_S_44_0_43" "103869-44" 154.75292604711134 2.5792154341185225 53773 14 "103869-1105" "Sp.Clinic de Boli Infect." "14:17:00" 53774 15 "103869-1315" "Petru Cercel" "14:17:00"
1727 "103869-TRIP_D_44_0_43" "103869-44" 154.75292604711134 2.5792154341185225 44904 14 "103869-1105" "Sp.Clinic de Boli Infect." "14:17:00" 44905 15 "103869-1315" "Petru Cercel" "14:17:00"
1753 "103869-TRIP_D_44_0_7" "103869-44" 154.75292604711134 2.5792154341185225 45391 14 "103869-1105" "Sp.Clinic de Boli Infect." "07:32:00" 45392 15 "103869-1315" "Petru Cercel" "07:32:00"
2156 "103869-TRIP_S_44_0_7" "103869-44" 154.75292604711134 2.5792154341185225 54260 14 "103869-1105" "Sp.Clinic de Boli Infect." "07:32:00" 54261 15 "103869-1315" "Petru Cercel" "07:32:00"
2131 "103869-TRIP_S_44_0_44" "103869-44" 154.75292604711134 2.5792154341185225 53792 14 "103869-1105" "Sp.Clinic de Boli Infect." "14:28:00" 53793 15 "103869-1315" "Petru Cercel" "14:28:00"
1728 "103869-TRIP_D_44_0_44" "103869-44" 154.75292604711134 2.5792154341185225 44923 14 "103869-1105" "Sp.Clinic de Boli Infect." "14:28:00" 44924 15 "103869-1315" "Petru Cercel" "14:28:00"
2102 "103869-TRIP_S_44_0_14" "103869-44" 154.75292604711134 2.5792154341185225 53247 14 "103869-1105" "Sp.Clinic de Boli Infect." "08:51:00" 53248 15 "103869-1315" "Petru Cercel" "08:51:00"
1699 "103869-TRIP_D_44_0_14" "103869-44" 154.75292604711134 2.5792154341185225 44378 14 "103869-1105" "Sp.Clinic de Boli Infect." "08:51:00" 44379 15 "103869-1315" "Petru Cercel" "08:51:00"
1884 "103869-TRIP_LV_44_0_120" "103869-44" 154.75292604711134 2.5792154341185225 48493 14 "103869-1105" "Sp.Clinic de Boli Infect." "20:55:00" 48494 15 "103869-1315" "Petru Cercel" "20:55:00"
2163 "103869-TRIP_S_44_0_77" "103869-44" 190.86452583376584 3.1810754305627635 54387 14 "103869-1105" "Sp.Clinic de Boli Infect." "20:47:00" 54388 15 "103869-1318" "Brizei" "20:47:00"
1760 "103869-TRIP_D_44_0_77" "103869-44" 190.86452583376584 3.1810754305627635 45518 14 "103869-1105" "Sp.Clinic de Boli Infect." "20:47:00" 45519 15 "103869-1318" "Brizei" "20:47:00"
2007 "103869-TRIP_LV_44_1_129" "103869-44" 161.9683182310849 2.6994719705180814 51080 9 "103869-1139" "Stadionul Portul" "22:35:00" 51081 10 "103869-1196" "Spitalul Judetean" "22:35:00"
2138 "103869-TRIP_S_44_0_51" "103869-44" 154.75292604711134 2.5792154341185225 53922 14 "103869-1105" "Sp.Clinic de Boli Infect." "15:47:00" 53923 15 "103869-1315" "Petru Cercel" "15:47:00"
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" "CT BUS S.A." 42
"stops.txt" "stop_name" "CT BUS S.A." 43