GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2025-12-05T19:15:45Z,
for the dataset file:///shared/constantactbussa.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:
Romanian
Feed Start Date:
2025-11-21
Feed End Date:
2026-05-21

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: 24
  • Shapes: 48
  • Stops: 372
  • Trips: 8090

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.
2173 "103869-TRIP_S_44_0_55" "103869-44" 154.75292604711134 2.5792154341185225 54749 14 "103869-1105" "Sp.Clinic de Boli Infect." "16:32:00" 54750 15 "103869-1315" "Petru Cercel" "16:32:00"
1734 "103869-TRIP_D_44_0_55" "103869-44" 154.75292604711134 2.5792154341185225 44955 14 "103869-1105" "Sp.Clinic de Boli Infect." "16:32:00" 44956 15 "103869-1315" "Petru Cercel" "16:32:00"
2144 "103869-TRIP_S_44_0_29" "103869-44" 172.25291833228312 2.8708819722047187 54187 14 "103869-1105" "Sp.Clinic de Boli Infect." "11:40:00" 54188 15 "103869-1317" "Col. Nat. Militar A. Ioan Cuza" "11:40:00"
1705 "103869-TRIP_D_44_0_29" "103869-44" 172.25291833228312 2.8708819722047187 44393 14 "103869-1105" "Sp.Clinic de Boli Infect." "11:40:00" 44394 15 "103869-1317" "Col. Nat. Militar A. Ioan Cuza" "11:40:00"
2125 "103869-TRIP_S_44_0_11" "103869-44" 154.75292604711134 2.5792154341185225 53818 14 "103869-1105" "Sp.Clinic de Boli Infect." "08:17:00" 53819 15 "103869-1315" "Petru Cercel" "08:17:00"
1686 "103869-TRIP_D_44_0_11" "103869-44" 154.75292604711134 2.5792154341185225 44024 14 "103869-1105" "Sp.Clinic de Boli Infect." "08:17:00" 44025 15 "103869-1315" "Petru Cercel" "08:17:00"
1695 "103869-TRIP_D_44_0_2" "103869-44" 172.25291833228312 2.8708819722047187 44199 14 "103869-1105" "Sp.Clinic de Boli Infect." "06:36:00" 44200 15 "103869-1317" "Col. Nat. Militar A. Ioan Cuza" "06:36:00"
2134 "103869-TRIP_S_44_0_2" "103869-44" 172.25291833228312 2.8708819722047187 53993 14 "103869-1105" "Sp.Clinic de Boli Infect." "06:36:00" 53994 15 "103869-1317" "Col. Nat. Militar A. Ioan Cuza" "06:36:00"
1739 "103869-TRIP_D_44_0_6" "103869-44" 154.75292604711134 2.5792154341185225 45056 14 "103869-1105" "Sp.Clinic de Boli Infect." "07:21:00" 45057 15 "103869-1315" "Petru Cercel" "07:21:00"
2178 "103869-TRIP_S_44_0_6" "103869-44" 154.75292604711134 2.5792154341185225 54850 14 "103869-1105" "Sp.Clinic de Boli Infect." "07:21:00" 54851 15 "103869-1315" "Petru Cercel" "07:21:00"
2146 "103869-TRIP_S_44_0_30" "103869-44" 154.75292604711134 2.5792154341185225 54224 14 "103869-1105" "Sp.Clinic de Boli Infect." "11:51:00" 54225 15 "103869-1315" "Petru Cercel" "11:51:00"
1707 "103869-TRIP_D_44_0_30" "103869-44" 154.75292604711134 2.5792154341185225 44430 14 "103869-1105" "Sp.Clinic de Boli Infect." "11:51:00" 44431 15 "103869-1315" "Petru Cercel" "11:51:00"
1887 "103869-TRIP_LV_44_0_122" "103869-44" 172.25291833228312 2.8708819722047187 48521 14 "103869-1105" "Sp.Clinic de Boli Infect." "21:18:00" 48522 15 "103869-1317" "Col. Nat. Militar A. Ioan Cuza" "21:18:00"
2180 "103869-TRIP_S_44_0_61" "103869-44" 172.25291833228312 2.8708819722047187 54888 14 "103869-1105" "Sp.Clinic de Boli Infect." "17:40:00" 54889 15 "103869-1317" "Col. Nat. Militar A. Ioan Cuza" "17:40:00"
1741 "103869-TRIP_D_44_0_61" "103869-44" 172.25291833228312 2.8708819722047187 45094 14 "103869-1105" "Sp.Clinic de Boli Infect." "17:40:00" 45095 15 "103869-1317" "Col. Nat. Militar A. Ioan Cuza" "17:40:00"
2192 "103869-TRIP_S_44_0_72" "103869-44" 154.75292604711134 2.5792154341185225 55119 14 "103869-1105" "Sp.Clinic de Boli Infect." "19:43:00" 55120 15 "103869-1315" "Petru Cercel" "19:43:00"
1753 "103869-TRIP_D_44_0_72" "103869-44" 154.75292604711134 2.5792154341185225 45325 14 "103869-1105" "Sp.Clinic de Boli Infect." "19:43:00" 45326 15 "103869-1315" "Petru Cercel" "19:43:00"
1883 "103869-TRIP_LV_44_0_119" "103869-44" 154.75292604711134 2.5792154341185225 48436 14 "103869-1105" "Sp.Clinic de Boli Infect." "20:44:00" 48437 15 "103869-1315" "Petru Cercel" "20:44:00"
2179 "103869-TRIP_S_44_0_60" "103869-44" 154.75292604711134 2.5792154341185225 54869 14 "103869-1105" "Sp.Clinic de Boli Infect." "17:28:00" 54870 15 "103869-1315" "Petru Cercel" "17:28:00"
1740 "103869-TRIP_D_44_0_60" "103869-44" 154.75292604711134 2.5792154341185225 45075 14 "103869-1105" "Sp.Clinic de Boli Infect." "17:28:00" 45076 15 "103869-1315" "Petru Cercel" "17:28:00"
2148 "103869-TRIP_S_44_0_32" "103869-44" 154.75292604711134 2.5792154341185225 54268 14 "103869-1105" "Sp.Clinic de Boli Infect." "12:13:00" 54269 15 "103869-1315" "Petru Cercel" "12:13:00"
1709 "103869-TRIP_D_44_0_32" "103869-44" 154.75292604711134 2.5792154341185225 44474 14 "103869-1105" "Sp.Clinic de Boli Infect." "12:13:00" 44475 15 "103869-1315" "Petru Cercel" "12:13:00"
2126 "103869-TRIP_S_44_0_12" "103869-44" 154.75292604711134 2.5792154341185225 53837 14 "103869-1105" "Sp.Clinic de Boli Infect." "08:28:00" 53838 15 "103869-1315" "Petru Cercel" "08:28:00"
1687 "103869-TRIP_D_44_0_12" "103869-44" 154.75292604711134 2.5792154341185225 44043 14 "103869-1105" "Sp.Clinic de Boli Infect." "08:28:00" 44044 15 "103869-1315" "Petru Cercel" "08:28:00"
1717 "103869-TRIP_D_44_0_4" "103869-44" 154.75292604711134 2.5792154341185225 44624 14 "103869-1105" "Sp.Clinic de Boli Infect." "06:58:00" 44625 15 "103869-1315" "Petru Cercel" "06:58:00"
2156 "103869-TRIP_S_44_0_4" "103869-44" 154.75292604711134 2.5792154341185225 54418 14 "103869-1105" "Sp.Clinic de Boli Infect." "06:58:00" 54419 15 "103869-1315" "Petru Cercel" "06:58:00"
2172 "103869-TRIP_S_44_0_54" "103869-44" 154.75292604711134 2.5792154341185225 54730 14 "103869-1105" "Sp.Clinic de Boli Infect." "16:21:00" 54731 15 "103869-1315" "Petru Cercel" "16:21:00"
1733 "103869-TRIP_D_44_0_54" "103869-44" 154.75292604711134 2.5792154341185225 44936 14 "103869-1105" "Sp.Clinic de Boli Infect." "16:21:00" 44937 15 "103869-1315" "Petru Cercel" "16:21:00"
1706 "103869-TRIP_D_44_0_3" "103869-44" 154.75292604711134 2.5792154341185225 44411 14 "103869-1105" "Sp.Clinic de Boli Infect." "06:47:00" 44412 15 "103869-1315" "Petru Cercel" "06:47:00"
2145 "103869-TRIP_S_44_0_3" "103869-44" 154.75292604711134 2.5792154341185225 54205 14 "103869-1105" "Sp.Clinic de Boli Infect." "06:47:00" 54206 15 "103869-1315" "Petru Cercel" "06:47:00"
2188 "103869-TRIP_S_44_0_69" "103869-44" 172.25291833228312 2.8708819722047187 55044 14 "103869-1105" "Sp.Clinic de Boli Infect." "19:10:00" 55045 15 "103869-1317" "Col. Nat. Militar A. Ioan Cuza" "19:10:00"
1749 "103869-TRIP_D_44_0_69" "103869-44" 172.25291833228312 2.8708819722047187 45250 14 "103869-1105" "Sp.Clinic de Boli Infect." "19:10:00" 45251 15 "103869-1317" "Col. Nat. Militar A. Ioan Cuza" "19:10:00"
2170 "103869-TRIP_S_44_0_52" "103869-44" 154.75292604711134 2.5792154341185225 54693 14 "103869-1105" "Sp.Clinic de Boli Infect." "15:58:00" 54694 15 "103869-1315" "Petru Cercel" "15:58:00"
1731 "103869-TRIP_D_44_0_52" "103869-44" 154.75292604711134 2.5792154341185225 44899 14 "103869-1105" "Sp.Clinic de Boli Infect." "15:58:00" 44900 15 "103869-1315" "Petru Cercel" "15:58:00"
2138 "103869-TRIP_S_44_0_23" "103869-44" 154.75292604711134 2.5792154341185225 54067 14 "103869-1105" "Sp.Clinic de Boli Infect." "10:32:00" 54068 15 "103869-1315" "Petru Cercel" "10:32:00"
1699 "103869-TRIP_D_44_0_23" "103869-44" 154.75292604711134 2.5792154341185225 44273 14 "103869-1105" "Sp.Clinic de Boli Infect." "10:32:00" 44274 15 "103869-1315" "Petru Cercel" "10:32:00"
1880 "103869-TRIP_LV_44_0_116" "103869-44" 154.75292604711134 2.5792154341185225 48380 14 "103869-1105" "Sp.Clinic de Boli Infect." "20:10:00" 48381 15 "103869-1315" "Petru Cercel" "20:10:00"
2160 "103869-TRIP_S_44_0_43" "103869-44" 154.75292604711134 2.5792154341185225 54500 14 "103869-1105" "Sp.Clinic de Boli Infect." "14:17:00" 54501 15 "103869-1315" "Petru Cercel" "14:17:00"
1721 "103869-TRIP_D_44_0_43" "103869-44" 154.75292604711134 2.5792154341185225 44706 14 "103869-1105" "Sp.Clinic de Boli Infect." "14:17:00" 44707 15 "103869-1315" "Petru Cercel" "14:17:00"
1750 "103869-TRIP_D_44_0_7" "103869-44" 154.75292604711134 2.5792154341185225 45268 14 "103869-1105" "Sp.Clinic de Boli Infect." "07:32:00" 45269 15 "103869-1315" "Petru Cercel" "07:32:00"
2189 "103869-TRIP_S_44_0_7" "103869-44" 154.75292604711134 2.5792154341185225 55062 14 "103869-1105" "Sp.Clinic de Boli Infect." "07:32:00" 55063 15 "103869-1315" "Petru Cercel" "07:32:00"
2161 "103869-TRIP_S_44_0_44" "103869-44" 154.75292604711134 2.5792154341185225 54519 14 "103869-1105" "Sp.Clinic de Boli Infect." "14:28:00" 54520 15 "103869-1315" "Petru Cercel" "14:28:00"
1722 "103869-TRIP_D_44_0_44" "103869-44" 154.75292604711134 2.5792154341185225 44725 14 "103869-1105" "Sp.Clinic de Boli Infect." "14:28:00" 44726 15 "103869-1315" "Petru Cercel" "14:28:00"
2128 "103869-TRIP_S_44_0_14" "103869-44" 154.75292604711134 2.5792154341185225 53874 14 "103869-1105" "Sp.Clinic de Boli Infect." "08:51:00" 53875 15 "103869-1315" "Petru Cercel" "08:51:00"
1689 "103869-TRIP_D_44_0_14" "103869-44" 154.75292604711134 2.5792154341185225 44080 14 "103869-1105" "Sp.Clinic de Boli Infect." "08:51:00" 44081 15 "103869-1315" "Petru Cercel" "08:51:00"
1885 "103869-TRIP_LV_44_0_120" "103869-44" 154.75292604711134 2.5792154341185225 48477 14 "103869-1105" "Sp.Clinic de Boli Infect." "20:55:00" 48478 15 "103869-1315" "Petru Cercel" "20:55:00"
2197 "103869-TRIP_S_44_0_77" "103869-44" 190.86452583376584 3.1810754305627635 55214 14 "103869-1105" "Sp.Clinic de Boli Infect." "20:47:00" 55215 15 "103869-1318" "Brizei" "20:47:00"
1758 "103869-TRIP_D_44_0_77" "103869-44" 190.86452583376584 3.1810754305627635 45420 14 "103869-1105" "Sp.Clinic de Boli Infect." "20:47:00" 45421 15 "103869-1318" "Brizei" "20:47:00"
2169 "103869-TRIP_S_44_0_51" "103869-44" 154.75292604711134 2.5792154341185225 54674 14 "103869-1105" "Sp.Clinic de Boli Infect." "15:47:00" 54675 15 "103869-1315" "Petru Cercel" "15:47:00"
1730 "103869-TRIP_D_44_0_51" "103869-44" 154.75292604711134 2.5792154341185225 44880 14 "103869-1105" "Sp.Clinic de Boli Infect." "15:47:00" 44881 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