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constantactbussa — Enhanced Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 8.0.1 at 2026-09-19T00:21:57Z,
for the dataset file:///shared/constantactbussa_e72a0c26.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:
Multiple languages
Feed Start Date:
2026-09-09
Feed End Date:
2026-12-04

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: 374
  • Trips: 7646

Specification Compliance report

183 notices reported (0 errors, 183 warnings, 0 infos)

Notice Code Severity Total
fast_travel_between_consecutive_stops WARNING 178

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 178 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.
1921 "103869-TRIP_S_44_0_55" "103869-44" 154.75292604711134 2.5792154341185225 52101 14 "103869-1105" "Sp.Clinic de Boli Infect." "16:32:00" 52102 15 "103869-1315" "Petru Cercel" "16:32:00"
1892 "103869-TRIP_S_44_0_29" "103869-44" 172.25291833228312 2.8708819722047187 51539 14 "103869-1105" "Sp.Clinic de Boli Infect." "11:40:00" 51540 15 "103869-1317" "Col. Nat. Militar A. Ioan Cuza" "11:40:00"
1873 "103869-TRIP_S_44_0_11" "103869-44" 154.75292604711134 2.5792154341185225 51170 14 "103869-1105" "Sp.Clinic de Boli Infect." "08:17:00" 51171 15 "103869-1315" "Petru Cercel" "08:17:00"
1882 "103869-TRIP_S_44_0_2" "103869-44" 172.25291833228312 2.8708819722047187 51345 14 "103869-1105" "Sp.Clinic de Boli Infect." "06:36:00" 51346 15 "103869-1317" "Col. Nat. Militar A. Ioan Cuza" "06:36:00"
1695 "103869-TRIP_LV_44_0_58" "103869-44" 154.75292604711134 2.5792154341185225 47157 14 "103869-1105" "Sp.Clinic de Boli Infect." "12:49:00" 47158 15 "103869-1315" "Petru Cercel" "12:49:00"
1926 "103869-TRIP_S_44_0_6" "103869-44" 154.75292604711134 2.5792154341185225 52202 14 "103869-1105" "Sp.Clinic de Boli Infect." "07:21:00" 52203 15 "103869-1315" "Petru Cercel" "07:21:00"
1894 "103869-TRIP_S_44_0_30" "103869-44" 154.75292604711134 2.5792154341185225 51576 14 "103869-1105" "Sp.Clinic de Boli Infect." "11:51:00" 51577 15 "103869-1315" "Petru Cercel" "11:51:00"
1637 "103869-TRIP_LV_44_0_119" "103869-44" 172.25291833228312 2.8708819722047187 45954 14 "103869-1105" "Sp.Clinic de Boli Infect." "21:18:00" 45955 15 "103869-1317" "Col. Nat. Militar A. Ioan Cuza" "21:18:00"
1928 "103869-TRIP_S_44_0_61" "103869-44" 172.25291833228312 2.8708819722047187 52240 14 "103869-1105" "Sp.Clinic de Boli Infect." "17:40:00" 52241 15 "103869-1317" "Col. Nat. Militar A. Ioan Cuza" "17:40:00"
1940 "103869-TRIP_S_44_0_72" "103869-44" 154.75292604711134 2.5792154341185225 52471 14 "103869-1105" "Sp.Clinic de Boli Infect." "19:43:00" 52472 15 "103869-1315" "Petru Cercel" "19:43:00"
1443 "103869-TRIP_D_44_0_14" "103869-44" 154.75292604711134 2.5792154341185225 41720 12 "103869-1105" "Sp.Clinic de Boli Infect." "08:49:00" 41721 13 "103869-1315" "Petru Cercel" "08:49:00"
1634 "103869-TRIP_LV_44_0_116" "103869-44" 154.75292604711134 2.5792154341185225 45891 14 "103869-1105" "Sp.Clinic de Boli Infect." "20:44:00" 45892 15 "103869-1315" "Petru Cercel" "20:44:00"
1927 "103869-TRIP_S_44_0_60" "103869-44" 154.75292604711134 2.5792154341185225 52221 14 "103869-1105" "Sp.Clinic de Boli Infect." "17:28:00" 52222 15 "103869-1315" "Petru Cercel" "17:28:00"
1896 "103869-TRIP_S_44_0_32" "103869-44" 154.75292604711134 2.5792154341185225 51620 14 "103869-1105" "Sp.Clinic de Boli Infect." "12:13:00" 51621 15 "103869-1315" "Petru Cercel" "12:13:00"
1694 "103869-TRIP_LV_44_0_57" "103869-44" 154.75292604711134 2.5792154341185225 47138 14 "103869-1105" "Sp.Clinic de Boli Infect." "12:38:00" 47139 15 "103869-1315" "Petru Cercel" "12:38:00"
1520 "103869-TRIP_D_44_0_84" "103869-44" 215.5908469466871 3.593180782444785 43090 12 "103869-1105" "Sp.Clinic de Boli Infect." "22:26:00" 43091 13 "103869-1319" "Arcasului" "22:26:00"
1481 "103869-TRIP_D_44_0_49" "103869-44" 154.75292604711134 2.5792154341185225 42403 12 "103869-1105" "Sp.Clinic de Boli Infect." "15:22:00" 42404 13 "103869-1315" "Petru Cercel" "15:22:00"
1448 "103869-TRIP_D_44_0_19" "103869-44" 154.75292604711134 2.5792154341185225 41810 12 "103869-1105" "Sp.Clinic de Boli Infect." "09:45:00" 41811 13 "103869-1315" "Petru Cercel" "09:45:00"
1467 "103869-TRIP_D_44_0_36" "103869-44" 154.75292604711134 2.5792154341185225 42148 12 "103869-1105" "Sp.Clinic de Boli Infect." "12:56:00" 42149 13 "103869-1315" "Petru Cercel" "12:56:00"
1874 "103869-TRIP_S_44_0_12" "103869-44" 154.75292604711134 2.5792154341185225 51189 14 "103869-1105" "Sp.Clinic de Boli Infect." "08:28:00" 51190 15 "103869-1315" "Petru Cercel" "08:28:00"
1904 "103869-TRIP_S_44_0_4" "103869-44" 154.75292604711134 2.5792154341185225 51770 14 "103869-1105" "Sp.Clinic de Boli Infect." "06:58:00" 51771 15 "103869-1315" "Petru Cercel" "06:58:00"
1920 "103869-TRIP_S_44_0_54" "103869-44" 154.75292604711134 2.5792154341185225 52082 14 "103869-1105" "Sp.Clinic de Boli Infect." "16:21:00" 52083 15 "103869-1315" "Petru Cercel" "16:21:00"
6921 "103869-TRIP_D_90_1_124" "103869-90" 253.27230618815958 4.2212051031359925 155974 9 "103869-1056" "Aqua Parc" "22:59:00" 155975 10 "103869-1113" "Colegiul National de Arte" "22:59:00"
7425 "103869-TRIP_S_90_1_124" "103869-90" 253.27230618815958 4.2212051031359925 155974 9 "103869-1056" "Aqua Parc" "22:59:00" 155975 10 "103869-1113" "Colegiul National de Arte" "22:59:00"
1893 "103869-TRIP_S_44_0_3" "103869-44" 154.75292604711134 2.5792154341185225 51557 14 "103869-1105" "Sp.Clinic de Boli Infect." "06:47:00" 51558 15 "103869-1315" "Petru Cercel" "06:47:00"
1498 "103869-TRIP_D_44_0_64" "103869-44" 154.75292604711134 2.5792154341185225 42714 12 "103869-1105" "Sp.Clinic de Boli Infect." "18:11:00" 42715 13 "103869-1315" "Petru Cercel" "18:11:00"
1514 "103869-TRIP_D_44_0_79" "103869-44" 172.25291833228312 2.8708819722047187 42992 12 "103869-1105" "Sp.Clinic de Boli Infect." "21:11:00" 42993 13 "103869-1317" "Col. Nat. Militar A. Ioan Cuza" "21:11:00"
1936 "103869-TRIP_S_44_0_69" "103869-44" 172.25291833228312 2.8708819722047187 52396 14 "103869-1105" "Sp.Clinic de Boli Infect." "19:10:00" 52397 15 "103869-1317" "Col. Nat. Militar A. Ioan Cuza" "19:10:00"
1918 "103869-TRIP_S_44_0_52" "103869-44" 154.75292604711134 2.5792154341185225 52045 14 "103869-1105" "Sp.Clinic de Boli Infect." "15:58:00" 52046 15 "103869-1315" "Petru Cercel" "15:58:00"
1493 "103869-TRIP_D_44_0_6" "103869-44" 154.75292604711134 2.5792154341185225 42624 12 "103869-1105" "Sp.Clinic de Boli Infect." "07:19:00" 42625 13 "103869-1315" "Petru Cercel" "07:19:00"
1469 "103869-TRIP_D_44_0_38" "103869-44" 154.75292604711134 2.5792154341185225 42188 12 "103869-1105" "Sp.Clinic de Boli Infect." "13:19:00" 42189 13 "103869-1315" "Petru Cercel" "13:19:00"
1886 "103869-TRIP_S_44_0_23" "103869-44" 154.75292604711134 2.5792154341185225 51419 14 "103869-1105" "Sp.Clinic de Boli Infect." "10:32:00" 51420 15 "103869-1315" "Petru Cercel" "10:32:00"
1631 "103869-TRIP_LV_44_0_113" "103869-44" 154.75292604711134 2.5792154341185225 45835 14 "103869-1105" "Sp.Clinic de Boli Infect." "20:10:00" 45836 15 "103869-1315" "Petru Cercel" "20:10:00"
6974 "103869-TRIP_D_90_1_6" "103869-90" 174.5487129887862 2.90914521647977 157013 9 "103869-1056" "Aqua Parc" "07:19:00" 157014 10 "103869-1155" "Dacia" "07:19:00"
7478 "103869-TRIP_S_90_1_6" "103869-90" 174.5487129887862 2.90914521647977 157013 9 "103869-1056" "Aqua Parc" "07:19:00" 157014 10 "103869-1155" "Dacia" "07:19:00"
1908 "103869-TRIP_S_44_0_43" "103869-44" 154.75292604711134 2.5792154341185225 51852 14 "103869-1105" "Sp.Clinic de Boli Infect." "14:17:00" 51853 15 "103869-1315" "Petru Cercel" "14:17:00"
1937 "103869-TRIP_S_44_0_7" "103869-44" 154.75292604711134 2.5792154341185225 52414 14 "103869-1105" "Sp.Clinic de Boli Infect." "07:32:00" 52415 15 "103869-1315" "Petru Cercel" "07:32:00"
1438 "103869-TRIP_D_44_0_1" "103869-44" 154.75292604711134 2.5792154341185225 41630 12 "103869-1105" "Sp.Clinic de Boli Infect." "06:22:00" 41631 13 "103869-1315" "Petru Cercel" "06:22:00"
1909 "103869-TRIP_S_44_0_44" "103869-44" 154.75292604711134 2.5792154341185225 51871 14 "103869-1105" "Sp.Clinic de Boli Infect." "14:28:00" 51872 15 "103869-1315" "Petru Cercel" "14:28:00"
1876 "103869-TRIP_S_44_0_14" "103869-44" 154.75292604711134 2.5792154341185225 51226 14 "103869-1105" "Sp.Clinic de Boli Infect." "08:51:00" 51227 15 "103869-1315" "Petru Cercel" "08:51:00"
1635 "103869-TRIP_LV_44_0_117" "103869-44" 154.75292604711134 2.5792154341185225 45910 14 "103869-1105" "Sp.Clinic de Boli Infect." "20:55:00" 45911 15 "103869-1315" "Petru Cercel" "20:55:00"
1517 "103869-TRIP_D_44_0_81" "103869-44" 215.5908469466871 3.593180782444785 43039 12 "103869-1105" "Sp.Clinic de Boli Infect." "21:41:00" 43040 13 "103869-1319" "Arcasului" "21:41:00"
1945 "103869-TRIP_S_44_0_77" "103869-44" 190.86452583376584 3.1810754305627635 52566 14 "103869-1105" "Sp.Clinic de Boli Infect." "20:47:00" 52567 15 "103869-1318" "Brizei" "20:47:00"
1772 "103869-TRIP_LV_44_1_126" "103869-44" 161.9683182310849 2.6994719705180814 48835 9 "103869-1139" "Stadionul Portul" "22:35:00" 48836 10 "103869-1196" "Spitalul Judetean" "22:35:00"
1917 "103869-TRIP_S_44_0_51" "103869-44" 154.75292604711134 2.5792154341185225 52026 14 "103869-1105" "Sp.Clinic de Boli Infect." "15:47:00" 52027 15 "103869-1315" "Petru Cercel" "15:47:00"
1890 "103869-TRIP_S_44_0_27" "103869-44" 154.75292604711134 2.5792154341185225 51501 14 "103869-1105" "Sp.Clinic de Boli Infect." "11:17:00" 51502 15 "103869-1315" "Petru Cercel" "11:17:00"
1906 "103869-TRIP_S_44_0_41" "103869-44" 154.75292604711134 2.5792154341185225 51808 14 "103869-1105" "Sp.Clinic de Boli Infect." "13:54:00" 51809 15 "103869-1315" "Petru Cercel" "13:54:00"
1878 "103869-TRIP_S_44_0_16" "103869-44" 154.75292604711134 2.5792154341185225 51270 14 "103869-1105" "Sp.Clinic de Boli Infect." "09:13:00" 51271 15 "103869-1315" "Petru Cercel" "09:13:00"
1504 "103869-TRIP_D_44_0_7" "103869-44" 154.75292604711134 2.5792154341185225 42821 12 "103869-1105" "Sp.Clinic de Boli Infect." "07:30:00" 42822 13 "103869-1315" "Petru Cercel" "07:30:00"
1484 "103869-TRIP_D_44_0_51" "103869-44" 154.75292604711134 2.5792154341185225 42459 12 "103869-1105" "Sp.Clinic de Boli Infect." "15:45:00" 42460 13 "103869-1315" "Petru Cercel" "15:45:00"
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
stop_too_far_from_shape WARNING 3

stop_too_far_from_shape

Stop too far from trip shape.

Per GTFS Best Practices, route alignments (in shapes.txt) should be within 100 meters of stop locations which a trip serves. This potentially indicates a problem with the location of the stop or the path of the shape.

You can see more about this notice here.

tripCsvRowNumber (?) The row number of the faulty record from `trips.txt`. shapeId (?) The id of the shape that is referred to. tripId (?) The id of the trip that is referred to. stopTimeCsvRowNumber (?) The row number of the faulty record from `stop_times.txt`. stopId (?) The id of the stop that is referred to. stopName (?) The name of the stop that is referred to. match (?) Latitude and longitude pair of the location. geoDistanceToShape (?) Distance from stop to shape.
6743 "103869-870" "103869-TRIP_D_87_0_0" 151119 "103869-1187" "Fantasio" [44.1758,28.651619999999994] 165.57622686248652
6743 "103869-870" "103869-TRIP_D_87_0_0" 151120 "103869-1166" "Fantasio" [44.1758,28.651619999999994] 260.56905276886516
6712 "103869-871" "103869-TRIP_D_87_1_0" 150386 "103869-1348" "Piata Grivitei" [44.17472093730525,28.643867296717556] 182.21284693028446