GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 5.0.1 at 2024-06-08T08:55:08Z,
for the dataset file:///tmp/1_in.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included

Feed Info

Publisher Name:
N/A
Publisher URL:
N/A
Feed Language:
N/A

Files included

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

Counts

  • Agencies: 1
  • Blocks: 30
  • Routes: 16
  • Shapes: 0
  • Stops: 365
  • Trips: 439

Specification Compliance report

205 notices reported (0 errors, 205 warnings, 0 infos)

Notice Code Severity Total
fast_travel_between_consecutive_stops WARNING 126

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 126 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.
193 "2-282329439" "16" 440.6093895219038 14.686979650730127 2903 16 "500006" "Centre" "08:27:00" 2904 17 "500529" "Veel" "08:28:00"
207 "3-282329442" "16" 440.6093895219038 14.686979650730127 3198 16 "500006" "Centre" "08:27:00" 3199 17 "500529" "Veel" "08:28:00"
193 "2-282329439" "16" 310.0769103678615 15.503845518393076 2904 17 "500529" "Veel" "08:28:00" 2905 18 "500481" "Centre" "08:30:00"
207 "3-282329442" "16" 310.0769103678615 15.503845518393076 3199 17 "500529" "Veel" "08:28:00" 3200 18 "500481" "Centre" "08:30:00"
380 "2-275709986" "16" 310.54646232615266 15.527323116307635 6626 9 "4700032" "Centre" "12:31:00" 6627 10 "500529" "Veel" "12:33:00"
380 "2-275709986" "16" 440.7864428676876 14.69288142892292 6627 10 "500529" "Veel" "12:33:00" 6628 11 "4700027" "Centre" "12:34:00"
247 "2-275709955" "16" 465.81969348922905 15.527323116307635 3974 9 "4700032" "Centre" "07:07:00" 3975 10 "500529" "Veel" "07:08:00"
388 "3-275710000" "16" 465.81969348922905 15.527323116307635 6775 9 "4700032" "Centre" "07:07:00" 6776 10 "500529" "Veel" "07:08:00"
247 "2-275709955" "16" 220.3932214338438 14.69288142892292 3975 10 "500529" "Veel" "07:08:00" 3976 11 "4700027" "Centre" "07:11:00"
388 "3-275710000" "16" 220.3932214338438 14.69288142892292 6776 10 "500529" "Veel" "07:08:00" 6777 11 "4700027" "Centre" "07:11:00"
190 "2-282329124" "16" 440.6093895219038 14.686979650730127 2846 16 "500006" "Centre" "13:42:00" 2847 17 "500529" "Veel" "13:43:00"
190 "2-282329124" "16" 310.0769103678615 15.503845518393076 2847 17 "500529" "Veel" "13:43:00" 2848 18 "500481" "Centre" "13:45:00"
280 "2-275709965" "16" 465.81969348922905 15.527323116307635 4549 9 "4700032" "Centre" "12:07:00" 4550 10 "500529" "Veel" "12:08:00"
393 "3-275710005" "16" 465.81969348922905 15.527323116307635 6900 9 "4700032" "Centre" "12:07:00" 6901 10 "500529" "Veel" "12:08:00"
280 "2-275709965" "16" 220.3932214338438 14.69288142892292 4550 10 "500529" "Veel" "12:08:00" 4551 11 "4700027" "Centre" "12:11:00"
393 "3-275710005" "16" 220.3932214338438 14.69288142892292 6901 10 "500529" "Veel" "12:08:00" 6902 11 "4700027" "Centre" "12:11:00"
395 "3-275710007" "16" 465.81969348922905 15.527323116307635 6950 9 "4700032" "Centre" "14:12:00" 6951 10 "500529" "Veel" "14:13:00"
302 "2-275709971" "16" 465.81969348922905 15.527323116307635 5019 9 "4700032" "Centre" "14:12:00" 5020 10 "500529" "Veel" "14:13:00"
395 "3-275710007" "16" 220.3932214338438 14.69288142892292 6951 10 "500529" "Veel" "14:13:00" 6952 11 "4700027" "Centre" "14:16:00"
302 "2-275709971" "16" 220.3932214338438 14.69288142892292 5020 10 "500529" "Veel" "14:13:00" 5021 11 "4700027" "Centre" "14:16:00"
258 "2-275709961" "16" 465.81969348922905 15.527323116307635 4159 9 "4700032" "Centre" "10:07:00" 4160 10 "500529" "Veel" "10:08:00"
391 "3-275710003" "16" 465.81969348922905 15.527323116307635 6850 9 "4700032" "Centre" "10:07:00" 6851 10 "500529" "Veel" "10:08:00"
258 "2-275709961" "16" 220.3932214338438 14.69288142892292 4160 10 "500529" "Veel" "10:08:00" 4161 11 "4700027" "Centre" "10:11:00"
391 "3-275710003" "16" 220.3932214338438 14.69288142892292 6851 10 "500529" "Veel" "10:08:00" 6852 11 "4700027" "Centre" "10:11:00"
182 "2-282329104" "16" 440.6093895219038 14.686979650730127 2630 16 "500006" "Centre" "12:27:00" 2631 17 "500529" "Veel" "12:28:00"
211 "3-282329446" "16" 440.6093895219038 14.686979650730127 3306 16 "500006" "Centre" "12:27:00" 3307 17 "500529" "Veel" "12:28:00"
182 "2-282329104" "16" 310.0769103678615 15.503845518393076 2631 17 "500529" "Veel" "12:28:00" 2632 18 "500481" "Centre" "12:30:00"
211 "3-282329446" "16" 310.0769103678615 15.503845518393076 3307 17 "500529" "Veel" "12:28:00" 3308 18 "500481" "Centre" "12:30:00"
219 "3-282329453" "16" 440.6093895219038 14.686979650730127 3521 16 "500006" "Centre" "19:27:00" 3522 17 "500529" "Veel" "19:28:00"
189 "2-282329123" "16" 440.6093895219038 14.686979650730127 2819 16 "500006" "Centre" "19:27:00" 2820 17 "500529" "Veel" "19:28:00"
219 "3-282329453" "16" 310.0769103678615 15.503845518393076 3522 17 "500529" "Veel" "19:28:00" 3523 18 "500481" "Centre" "19:30:00"
189 "2-282329123" "16" 310.0769103678615 15.503845518393076 2820 17 "500529" "Veel" "19:28:00" 2821 18 "500481" "Centre" "19:30:00"
404 "3-275775491" "16" 465.81969348922905 15.527323116307635 7163 10 "4700032" "Centre" "12:33:00" 7164 11 "500529" "Veel" "12:34:00"
404 "3-275775491" "16" 220.3932214338438 14.69288142892292 7164 11 "500529" "Veel" "12:34:00" 7165 12 "4700027" "Centre" "12:37:00"
398 "3-275710009" "16" 310.54646232615266 15.527323116307635 7010 9 "4700032" "Centre" "16:11:00" 7011 10 "500529" "Veel" "16:13:00"
358 "2-275709983" "16" 310.54646232615266 15.527323116307635 6201 9 "4700032" "Centre" "16:11:00" 6202 10 "500529" "Veel" "16:13:00"
398 "3-275710009" "16" 440.7864428676876 14.69288142892292 7011 10 "500529" "Veel" "16:13:00" 7012 11 "4700027" "Centre" "16:14:00"
358 "2-275709983" "16" 440.7864428676876 14.69288142892292 6202 10 "500529" "Veel" "16:13:00" 6203 11 "4700027" "Centre" "16:14:00"
179 "2-282329100" "16" 440.6093895219038 14.686979650730127 2573 16 "500006" "Centre" "10:27:00" 2574 17 "500529" "Veel" "10:28:00"
209 "3-282329444" "16" 440.6093895219038 14.686979650730127 3252 16 "500006" "Centre" "10:27:00" 3253 17 "500529" "Veel" "10:28:00"
179 "2-282329100" "16" 310.0769103678615 15.503845518393076 2574 17 "500529" "Veel" "10:28:00" 2575 18 "500481" "Centre" "10:30:00"
209 "3-282329444" "16" 310.0769103678615 15.503845518393076 3253 17 "500529" "Veel" "10:28:00" 3254 18 "500481" "Centre" "10:30:00"
208 "3-282329443" "16" 440.6093895219038 14.686979650730127 3225 16 "500006" "Centre" "09:27:00" 3226 17 "500529" "Veel" "09:28:00"
178 "2-282329098" "16" 440.6093895219038 14.686979650730127 2546 16 "500006" "Centre" "09:27:00" 2547 17 "500529" "Veel" "09:28:00"
208 "3-282329443" "16" 310.0769103678615 15.503845518393076 3226 17 "500529" "Veel" "09:28:00" 3227 18 "500481" "Centre" "09:30:00"
178 "2-282329098" "16" 310.0769103678615 15.503845518393076 2547 17 "500529" "Veel" "09:28:00" 2548 18 "500481" "Centre" "09:30:00"
181 "2-282329102" "16" 440.6093895219038 14.686979650730127 2603 16 "500006" "Centre" "11:27:00" 2604 17 "500529" "Veel" "11:28:00"
210 "3-282329445" "16" 440.6093895219038 14.686979650730127 3279 16 "500006" "Centre" "11:27:00" 3280 17 "500529" "Veel" "11:28:00"
181 "2-282329102" "16" 310.0769103678615 15.503845518393076 2604 17 "500529" "Veel" "11:28:00" 2605 18 "500481" "Centre" "11:30:00"
210 "3-282329445" "16" 310.0769103678615 15.503845518393076 3280 17 "500529" "Veel" "11:28:00" 3281 18 "500481" "Centre" "11:30:00"
fast_travel_between_far_stops WARNING 63

fast_travel_between_far_stops

A transit vehicle moves too fast between two far stops.

Two stops are considered "far" if they are more than 10 km apart. This normally indicates a more serious problem than too fast travel between consecutive stops.

The speed threshold depends on route type and are the same as fast_travel_between_consecutive_stops.

You can see more about this notice here.

Only the first 50 of 63 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.
193 "2-282329439" "16" 440.6093895219038 14.686979650730127 2903 16 "500006" "Centre" "08:27:00" 2904 17 "500529" "Veel" "08:28:00"
207 "3-282329442" "16" 440.6093895219038 14.686979650730127 3198 16 "500006" "Centre" "08:27:00" 3199 17 "500529" "Veel" "08:28:00"
380 "2-275709986" "16" 310.54646232615266 15.527323116307635 6626 9 "4700032" "Centre" "12:31:00" 6627 10 "500529" "Veel" "12:33:00"
247 "2-275709955" "16" 465.81969348922905 15.527323116307635 3974 9 "4700032" "Centre" "07:07:00" 3975 10 "500529" "Veel" "07:08:00"
388 "3-275710000" "16" 465.81969348922905 15.527323116307635 6775 9 "4700032" "Centre" "07:07:00" 6776 10 "500529" "Veel" "07:08:00"
190 "2-282329124" "16" 440.6093895219038 14.686979650730127 2846 16 "500006" "Centre" "13:42:00" 2847 17 "500529" "Veel" "13:43:00"
280 "2-275709965" "16" 465.81969348922905 15.527323116307635 4549 9 "4700032" "Centre" "12:07:00" 4550 10 "500529" "Veel" "12:08:00"
393 "3-275710005" "16" 465.81969348922905 15.527323116307635 6900 9 "4700032" "Centre" "12:07:00" 6901 10 "500529" "Veel" "12:08:00"
395 "3-275710007" "16" 465.81969348922905 15.527323116307635 6950 9 "4700032" "Centre" "14:12:00" 6951 10 "500529" "Veel" "14:13:00"
302 "2-275709971" "16" 465.81969348922905 15.527323116307635 5019 9 "4700032" "Centre" "14:12:00" 5020 10 "500529" "Veel" "14:13:00"
258 "2-275709961" "16" 465.81969348922905 15.527323116307635 4159 9 "4700032" "Centre" "10:07:00" 4160 10 "500529" "Veel" "10:08:00"
391 "3-275710003" "16" 465.81969348922905 15.527323116307635 6850 9 "4700032" "Centre" "10:07:00" 6851 10 "500529" "Veel" "10:08:00"
182 "2-282329104" "16" 440.6093895219038 14.686979650730127 2630 16 "500006" "Centre" "12:27:00" 2631 17 "500529" "Veel" "12:28:00"
211 "3-282329446" "16" 440.6093895219038 14.686979650730127 3306 16 "500006" "Centre" "12:27:00" 3307 17 "500529" "Veel" "12:28:00"
219 "3-282329453" "16" 440.6093895219038 14.686979650730127 3521 16 "500006" "Centre" "19:27:00" 3522 17 "500529" "Veel" "19:28:00"
189 "2-282329123" "16" 440.6093895219038 14.686979650730127 2819 16 "500006" "Centre" "19:27:00" 2820 17 "500529" "Veel" "19:28:00"
404 "3-275775491" "16" 465.81969348922905 15.527323116307635 7163 10 "4700032" "Centre" "12:33:00" 7164 11 "500529" "Veel" "12:34:00"
398 "3-275710009" "16" 310.54646232615266 15.527323116307635 7010 9 "4700032" "Centre" "16:11:00" 7011 10 "500529" "Veel" "16:13:00"
358 "2-275709983" "16" 310.54646232615266 15.527323116307635 6201 9 "4700032" "Centre" "16:11:00" 6202 10 "500529" "Veel" "16:13:00"
179 "2-282329100" "16" 440.6093895219038 14.686979650730127 2573 16 "500006" "Centre" "10:27:00" 2574 17 "500529" "Veel" "10:28:00"
209 "3-282329444" "16" 440.6093895219038 14.686979650730127 3252 16 "500006" "Centre" "10:27:00" 3253 17 "500529" "Veel" "10:28:00"
208 "3-282329443" "16" 440.6093895219038 14.686979650730127 3225 16 "500006" "Centre" "09:27:00" 3226 17 "500529" "Veel" "09:28:00"
178 "2-282329098" "16" 440.6093895219038 14.686979650730127 2546 16 "500006" "Centre" "09:27:00" 2547 17 "500529" "Veel" "09:28:00"
181 "2-282329102" "16" 440.6093895219038 14.686979650730127 2603 16 "500006" "Centre" "11:27:00" 2604 17 "500529" "Veel" "11:28:00"
210 "3-282329445" "16" 440.6093895219038 14.686979650730127 3279 16 "500006" "Centre" "11:27:00" 3280 17 "500529" "Veel" "11:28:00"
389 "3-275710001" "16" 310.54646232615266 15.527323116307635 6800 9 "4700032" "Centre" "08:06:00" 6801 10 "500529" "Veel" "08:08:00"
336 "2-275709981" "16" 310.54646232615266 15.527323116307635 5731 9 "4700032" "Centre" "08:06:00" 5732 10 "500529" "Veel" "08:08:00"
205 "3-282329440" "16" 440.6093895219038 14.686979650730127 3144 16 "500006" "Centre" "06:27:00" 3145 17 "500529" "Veel" "06:28:00"
177 "2-282329092" "16" 440.6093895219038 14.686979650730127 2519 16 "500006" "Centre" "06:27:00" 2520 17 "500529" "Veel" "06:28:00"
406 "3-275775493" "16" 465.81969348922905 15.527323116307635 7215 10 "4700032" "Centre" "17:13:00" 7216 11 "500529" "Veel" "17:14:00"
218 "3-282329452" "16" 440.6093895219038 14.686979650730127 3494 16 "500006" "Centre" "18:27:00" 3495 17 "500529" "Veel" "18:28:00"
188 "2-282329122" "16" 440.6093895219038 14.686979650730127 2792 16 "500006" "Centre" "18:27:00" 2793 17 "500529" "Veel" "18:28:00"
192 "2-282329429" "16" 440.6093895219038 14.686979650730127 2876 16 "500006" "Centre" "07:27:00" 2877 17 "500529" "Veel" "07:28:00"
206 "3-282329441" "16" 440.6093895219038 14.686979650730127 3171 16 "500006" "Centre" "07:27:00" 3172 17 "500529" "Veel" "07:28:00"
396 "3-275710008" "16" 465.81969348922905 15.527323116307635 6975 9 "4700032" "Centre" "15:12:00" 6976 10 "500529" "Veel" "15:13:00"
313 "2-275709973" "16" 465.81969348922905 15.527323116307635 5254 9 "4700032" "Centre" "15:12:00" 5255 10 "500529" "Veel" "15:13:00"
269 "2-275709963" "16" 465.81969348922905 15.527323116307635 4344 9 "4700032" "Centre" "11:07:00" 4345 10 "500529" "Veel" "11:08:00"
392 "3-275710004" "16" 465.81969348922905 15.527323116307635 6875 9 "4700032" "Centre" "11:07:00" 6876 10 "500529" "Veel" "11:08:00"
185 "2-282329112" "16" 440.6093895219038 14.686979650730127 2711 16 "500006" "Centre" "15:27:00" 2712 17 "500529" "Veel" "15:28:00"
215 "3-282329449" "16" 440.6093895219038 14.686979650730127 3413 16 "500006" "Centre" "15:27:00" 3414 17 "500529" "Veel" "15:28:00"
400 "3-275710011" "16" 465.81969348922905 15.527323116307635 7060 9 "4700032" "Centre" "18:12:00" 7061 10 "500529" "Veel" "18:13:00"
347 "2-275709982" "16" 465.81969348922905 15.527323116307635 5966 9 "4700032" "Centre" "18:12:00" 5967 10 "500529" "Veel" "18:13:00"
405 "3-275775492" "16" 465.81969348922905 15.527323116307635 7189 10 "4700032" "Centre" "16:13:00" 7190 11 "500529" "Veel" "16:14:00"
402 "3-275775489" "16" 465.81969348922905 15.527323116307635 7111 10 "4700032" "Centre" "08:08:00" 7112 11 "500529" "Veel" "08:09:00"
186 "2-282329117" "16" 440.6093895219038 14.686979650730127 2738 16 "500006" "Centre" "17:27:00" 2739 17 "500529" "Veel" "17:28:00"
217 "3-282329451" "16" 440.6093895219038 14.686979650730127 3467 16 "500006" "Centre" "17:27:00" 3468 17 "500529" "Veel" "17:28:00"
184 "2-282329110" "16" 440.6093895219038 14.686979650730127 2684 16 "500006" "Centre" "14:27:00" 2685 17 "500529" "Veel" "14:28:00"
214 "3-282329448" "16" 440.6093895219038 14.686979650730127 3386 16 "500006" "Centre" "14:27:00" 3387 17 "500529" "Veel" "14:28:00"
401 "3-275710012" "16" 465.81969348922905 15.527323116307635 7085 9 "4700032" "Centre" "19:12:00" 7086 10 "500529" "Veel" "19:13:00"
381 "2-275709998" "16" 465.81969348922905 15.527323116307635 6651 9 "4700032" "Centre" "19:12:00" 6652 10 "500529" "Veel" "19:13:00"
missing_recommended_column WARNING 1

missing_recommended_column

A recommended column is missing in the input file.

You can see more about this notice here.

filename (?) The name of the faulty file. fieldName (?) The name of the missing column.
"stop_times.txt" "timepoint"
missing_recommended_file WARNING 1

missing_recommended_file

A recommended file is missing.

You can see more about this notice here.

filename (?) The name of the faulty file.
"feed_info.txt"
mixed_case_recommended_field WARNING 14

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" "EPL AGRO" 57
"stops.txt" "stop_name" "EPL AGRO" 58
"stops.txt" "stop_name" "HOTEL DE VILLE" 119
"stops.txt" "stop_name" "PETIT JURE" 137
"stops.txt" "stop_name" "ST AMAND SUR ORNAIN" 212
"stops.txt" "stop_name" "ROBERT ESPAGNE" 254
"stops.txt" "stop_name" "MAIRIE DE FAINS" 265
"stops.txt" "stop_name" "CITE ADMINISTRATIVE" 271
"stops.txt" "stop_name" "CENTRE NAUTIQUE" 274
"stops.txt" "stop_name" "LA BARROISE" 289
"stops.txt" "stop_name" "LA SAPINIERE" 291
"stops.txt" "stop_name" "PRE HUGOT" 297
"stops.txt" "stop_name" "PARC DU LUXEMBOURG" 299
"stops.txt" "stop_name" "VIEILLE FORGE" 305