vmt — Enhanced Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-05-22T15:27:27Z,
for the dataset file:///shared/vmt_5e45f505.zip. No country code was provided.

Use this report alongside our documentation.

A new version of the Canonical GTFS Schedule validator is available! Please update to get the latest/best validation results.

Summary

Agencies included


Feed Info


Publisher Name:
Busmaps.com
Publisher URL:
https://busmaps.com
Feed Language:
German
Feed Start Date:
2026-04-01
Feed End Date:
2026-11-01

Files included


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

Counts


  • Agencies: 43
  • Blocks: 4577
  • Routes: 784
  • Shapes: 0
  • Stops: 12322
  • Trips: 40474

Specification Compliance report

1273 notices reported (0 errors, 46 warnings, 1227 infos)

Notice Code Severity Total
duplicate_route_name WARNING 28

duplicate_route_name

Two distinct routes have either the same route_short_name, the same route_long_name, or the same combination of route_short_name and route_long_name.

All routes of the same route_type with the same agency_id should have unique combinations of route_short_name and route_long_name.

Note that there may be valid cases where routes have the same short and long name, e.g., if they serve different areas. However, different directions must be modeled as the same route.

Example of bad data:

route_id route_short_name route_long_name
route1 U1 Southern
route2 U1 Southern

You can see more about this notice here.

csvRowNumber1 (?) The row number of the first occurrence. routeId1 (?) The id of the the first occurrence. csvRowNumber2 (?) The row number of the other occurrence. routeId2 (?) The id of the the other occurrence. routeShortName (?) Common `routes.route_short_name`. routeLongName (?) Common `routes.route_long_name`. routeTypeValue (?) Common `routes.route_type`. agencyId (?) Common `routes.agency_id`.
2 "96-7202_3" 3 "96-7201_3" "252" "" 3 "96-114"
9 "96-3011_3" 12 "96-3004_3" "289" "" 3 "96-114"
16 "96-3000_3" 21 "96-2995_3" "287" "" 3 "96-114"
17 "96-2999_3" 22 "96-2993_3" "286" "" 3 "96-114"
15 "96-3001_3" 25 "96-2987_3" "253" "" 3 "96-114"
19 "96-2997_3" 26 "96-2986_3" "249" "" 3 "96-114"
23 "96-2991_3" 27 "96-2985_3" "248" "" 3 "96-114"
29 "96-2977_3" 36 "96-2968_3" "237" "" 3 "96-114"
35 "96-2969_3" 37 "96-2967_3" "240" "" 3 "96-114"
38 "96-2966_3" 39 "96-2965_3" "239" "" 3 "96-114"
6 "96-4831_3" 42 "96-2958_3" "1" "" 3 "96-114"
49 "96-2943_3" 50 "96-2942_3" "226" "" 3 "96-114"
45 "96-2953_3" 52 "96-2938_3" "221" "" 3 "96-114"
53 "96-2935_3" 54 "96-2933_3" "225" "" 3 "96-114"
253 "96-6849_3" 254 "96-6848_3" "701" "" 3 "96-44"
253 "96-6849_3" 255 "96-6847_3" "701" "" 3 "96-44"
251 "96-6851_3" 266 "96-6655_3" "710" "" 3 "96-44"
253 "96-6849_3" 273 "96-6648_3" "701" "" 3 "96-44"
359 "96-6946_3" 365 "96-6871_3" "B" "" 3 "96-96"
360 "96-6945_3" 366 "96-6276_3" "A" "" 3 "96-96"
360 "96-6945_3" 368 "96-4856_3" "A" "" 3 "96-96"
359 "96-6946_3" 385 "96-3368_3" "B" "" 3 "96-96"
570 "96-5931_3" 571 "96-5881_3" "Sev" "" 3 "96-176"
570 "96-5931_3" 572 "96-5862_3" "Sev" "" 3 "96-176"
696 "96-4961_2" 698 "96-4513_2" "Hsb326" "" 2 "96-166"
699 "96-4512_2" 700 "96-4511_2" "Hsb325" "" 2 "96-166"
740 "96-5721_3" 749 "96-3745_3" "2" "" 3 "96-137"
739 "96-5722_3" 753 "96-3741_3" "5" "" 3 "96-137"
expired_calendar WARNING 11

expired_calendar

Dataset should not contain date ranges for services that have already expired.

This warning takes into account the calendar_dates.txt file as well as the calendar.txt file.

You can see more about this notice here.

csvRowNumber (?) The row of the faulty record. serviceId (?) The service id of the faulty record.
565 "96-merged_0536b792adfea21f626c"
575 "96-merged_1432e749dfb26cb8d3fb"
595 "96-merged_340ae0a92bd91f366148"
615 "96-merged_5ca7b2662b5bd2d2acbe"
618 "96-merged_662b7600923f15a07321"
625 "96-merged_6cafa17f97fd3a62a14c"
664 "96-merged_a79e474afd29987ef7cc"
670 "96-merged_ad5e0c2650f1594bbab1"
679 "96-merged_c3e2d61f5e4abb7974ba"
686 "96-merged_ccb4e3d1cd63075dbd57"
696 "96-merged_dd9d9b0355c8f7e7c367"
non_ascii_or_non_printable_char WARNING 7

non_ascii_or_non_printable_char

Non ascii or non printable char in ID field.

A value of a field with type ID contains non ASCII or non printable characters. This is not recommended.

You can see more about this notice here.

filename (?) Name of the faulty file. csvRowNumber (?) Row number of the faulty record. columnName (?) Name of the column where the error occurred. fieldValue (?) Faulty value.
"stops.txt" 12188 "stop_id" "96-DE:09473:17113:0Î:2"
"stop_times.txt" 236461 "stop_id" "96-DE:09473:17113:0Î:2"
"stop_times.txt" 236491 "stop_id" "96-DE:09473:17113:0Î:2"
"stop_times.txt" 236530 "stop_id" "96-DE:09473:17113:0Î:2"
"stop_times.txt" 236693 "stop_id" "96-DE:09473:17113:0Î:2"
"transfers.txt" 15386 "to_stop_id" "96-DE:09473:17113:0Î:2"
"transfers.txt" 15387 "from_stop_id" "96-DE:09473:17113:0Î:2"
platform_without_parent_station INFO 1221

platform_without_parent_station

A platform has no parent_station field set.

This is different from location_without_parent_station since it is less severe.

You can see more about this notice here.

Only the first 50 of 1221 affected records are displayed below.

csvRowNumber (?) Row number of the faulty record. stopId (?) The id of the faulty record. stopName (?) The stop name of the faulty record.
2 "96-DE:16073:8010014:801001400:801001450" "Bad Blankenburg (Thüringer Wald)"
4 "96-DE:15002:8010159:5:09" "Halle (Saale) Hbf"
6 "96-DE:16070:8012317:801231700:801231750" "Martinroda (bei Ilmenau)"
7 "96-DE:16075:8012472:801247201:801247251" "Neustadt (Orla)"
16 "96-DE:16051:8071357::807135700" "Erfurt Hbf (Intercity-Hotel) Sev"
17 "96-DE:16053:153167::15316700" "Jena, Stadtzentrum Holzmarkt"
18 "96-DE:16053:153003::15300300" "Jena, Burgaupark"
26 "96-DE:16053:153003::15300303" "Jena, Burgaupark"
27 "96-DE:16053:153004::15300401" "Jena, Busbahnhof"
28 "96-DE:16053:153050::15305000" "Jena, Stadtzentrum Teichgraben"
29 "96-DE:16053:153050::15305002" "Jena, Stadtzentrum Teichgraben"
30 "96-DE:16053:153166::15316600" "Jena, Stadtzentrum Löbdergraben"
37 "96-DE:16053:153137::15313702" "Jena, Schlippenstraße"
38 "96-DE:16053:153137::15313700" "Jena, Schlippenstraße"
53 "96-DE:16053:153055::15305500" "Jena, Burgaupark"
62 "96-DE:16053:153124::15312400" "Jena, Lobeda-Ost"
64 "96-DE:16053:153043::15304300" "Jena, Emil-Wölk-Straße"
65 "96-DE:16053:153043::15304301" "Jena, Emil-Wölk-Straße"
66 "96-000015304100" "Jena, Göschwitz Bahnhof"
68 "96-DE:16053:153028::15302802" "Jena, Westbahnhofstraße"
69 "96-DE:16053:153028::15302800" "Jena, Westbahnhofstraße"
77 "96-DE:16053:153002::15300201" "Jena, Beutenberg Campus"
78 "96-DE:16053:153002::15300200" "Jena, Beutenberg Campus"
79 "96-DE:16053:153115::15311501" "Jena, Grüne Aue"
83 "96-DE:16053:153109::15310901" "Jena, Enver-Şimşek-Platz"
86 "96-DE:16053:153002::15300204" "Jena, Beutenberg Campus"
96 "96-DE:16053:153021::15302103" "Jena, Winzerla"
97 "96-DE:16053:153021::15302102" "Jena, Winzerla"
98 "96-DE:16053:153021::15302105" "Jena, Winzerla"
99 "96-DE:16053:153021::15302106" "Jena, Winzerla"
100 "96-DE:16053:153016::15301600" "Jena, Westbahnhof"
124 "96-DE:16053:153090::15309000" "Jena, Mühltal"
125 "96-DE:16053:153090::15309001" "Jena, Mühltal"
140 "96-DE:16053:153014::15301401" "Jena, Spittelplatz"
141 "96-DE:16053:153014::15301400" "Jena, Spittelplatz"
144 "96-DE:16053:153097::15309703" "Jena, Scharnhorststraße"
145 "96-DE:16053:153097::15309701" "Jena, Scharnhorststraße"
189 "96-DE:16053:153004::15300403" "Jena, Busbahnhof"
192 "96-DE:16053:153157::15315700" "Jena, Lützeroda"
207 "96-DE:16053:153078::15307802" "Jena, Zwätzen Schleife"
208 "96-DE:16053:153078::15307803" "Jena, Zwätzen Schleife"
210 "96-DE:16053:153040::15304001" "Jena, An der Eule"
211 "96-DE:16053:153040::15304000" "Jena, An der Eule"
212 "96-DE:16053:153097::15309702" "Jena, Scharnhorststraße"
213 "96-DE:16053:153024::15302402" "Jena, Nordschule"
214 "96-DE:16053:153166::15316603" "Jena, Stadtzentrum Löbdergraben"
215 "96-DE:16053:153166::15316602" "Jena, Stadtzentrum Löbdergraben"
216 "96-DE:16053:153167::15316701" "Jena, Stadtzentrum Holzmarkt"
217 "96-DE:16053:153167::15316702" "Jena, Stadtzentrum Holzmarkt"
218 "96-DE:16053:153049::15304901" "Jena, Paradiesbahnhof West"
transfer_distance_above_2_km INFO 6

transfer_distance_above_2_km

The transfer distance from stop to stop in transfers.txt is larger than 2 km.

You can see more about this notice here.

csvRowNumber (?) The row number from `transfers.txt` for the faulty entry. fromStopId (?) The ID of the stop in `from_stop_id`. toStopId (?) The ID of the stop in `to_stop_id`. distanceKm (?) The distance between the two stops in km.
14566 "96-DE:06611:200001::9" "96-DE:06611:200007::7" 2.998030923431375
14568 "96-DE:06611:200001::12" "96-DE:06611:200007::4" 2.9998094706876257
14569 "96-DE:06611:200001::12" "96-DE:06611:200007::7" 2.977360160021408
14576 "96-DE:06611:200007::4" "96-DE:06611:200001::12" 2.9998094706876257
14580 "96-DE:06611:200007::7" "96-DE:06611:200001::9" 2.998030923431375
14581 "96-DE:06611:200007::7" "96-DE:06611:200001::12" 2.977360160021408