GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 8.0.1 at 2026-06-19T21:40:05Z,
for the dataset file:///shared/transdev_94a3e1e8.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 Email:
N/A
Feed Language:
N/A

Files included


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

Counts


  • Agencies: 1
  • Blocks: 10
  • Routes: 7
  • Shapes: 20
  • Stops: 71
  • Trips: 855

Specification Compliance report

1136 notices reported (35 errors, 241 warnings, 860 infos)

Notice Code Severity Total
trip_distance_exceeds_shape_distance ERROR 35

trip_distance_exceeds_shape_distance

The distance between the last shape point and last stop point is greater than or equal to the 11.1m threshold.

You can see more about this notice here.

tripId (?) The faulty record's trip id. shapeId (?) The faulty record's shape id. maxTripDistanceTraveled (?) The faulty record's trip max distance traveled. maxShapeDistanceTraveled (?) The faulty record's shape max distance traveled. geoDistanceToShape (?) The distance in meters between the shape and the stop.
"1487" "269" 3952.0 3815.0 87.63081934443818
"1485" "269" 3952.0 3815.0 87.63081934443818
"1483" "269" 3952.0 3815.0 87.63081934443818
"1481" "269" 3952.0 3815.0 87.63081934443818
"1479" "269" 3952.0 3815.0 87.63081934443818
"1475" "269" 3952.0 3815.0 87.63081934443818
"1471" "269" 3952.0 3815.0 87.63081934443818
"1467" "269" 3952.0 3815.0 87.63081934443818
"1463" "269" 3952.0 3815.0 87.63081934443818
"1459" "269" 3952.0 3815.0 87.63081934443818
"1455" "269" 3952.0 3815.0 87.63081934443818
"1451" "269" 3952.0 3815.0 87.63081934443818
"1447" "269" 3952.0 3815.0 87.63081934443818
"1443" "269" 3952.0 3815.0 87.63081934443818
"1439" "269" 3952.0 3815.0 87.63081934443818
"1435" "269" 3952.0 3815.0 87.63081934443818
"1431" "269" 3952.0 3815.0 87.63081934443818
"1427" "269" 3952.0 3815.0 87.63081934443818
"1423" "269" 3952.0 3815.0 87.63081934443818
"1419" "269" 3952.0 3815.0 87.63081934443818
"1415" "269" 3952.0 3815.0 87.63081934443818
"1411" "269" 3952.0 3815.0 87.63081934443818
"1407" "269" 3952.0 3815.0 87.63081934443818
"1403" "269" 3952.0 3815.0 87.63081934443818
"1441" "269" 3952.0 3815.0 87.63081934443818
"1437" "269" 3952.0 3815.0 87.63081934443818
"1433" "269" 3952.0 3815.0 87.63081934443818
"1429" "269" 3952.0 3815.0 87.63081934443818
"1425" "269" 3952.0 3815.0 87.63081934443818
"1421" "269" 3952.0 3815.0 87.63081934443818
"1417" "269" 3952.0 3815.0 87.63081934443818
"1413" "269" 3952.0 3815.0 87.63081934443818
"1409" "269" 3952.0 3815.0 87.63081934443818
"1405" "269" 3952.0 3815.0 87.63081934443818
"1401" "269" 3952.0 3815.0 87.63081934443818
expired_calendar WARNING 14

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.
2 "5_15_25_32_38_43_47"
3 "5_15_25_32_38_47"
4 "10_21_30_35_40_45_49"
5 "10_21_30_35_40_49"
6 "5_43"
7 "9_19_29_33_39_44_48"
8 "9_44"
9 "10_45"
10 "43"
11 "44"
12 "45"
13 "5_43_47"
14 "9_44_48"
15 "10_45_49"
fast_travel_between_consecutive_stops WARNING 22

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.

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.
798 "4403" "NVAL" 209.48307429190794 1.1637948571772663 9411 9 "P83" "saint marcel renardeau" "08:22:20" 9410 10 "P48" "Les Granges" "08:22:40"
808 "4203" "NVAL" 209.48307429190794 1.1637948571772663 9411 9 "P83" "saint marcel renardeau" "08:22:20" 9410 10 "P48" "Les Granges" "08:22:40"
766 "4421" "NVAL" 209.48307429190794 1.1637948571772663 8691 9 "P83" "saint marcel renardeau" "18:22:20" 8690 10 "P48" "Les Granges" "18:22:40"
778 "4221" "NVAL" 209.48307429190794 1.1637948571772663 8691 9 "P83" "saint marcel renardeau" "18:22:20" 8690 10 "P48" "Les Granges" "18:22:40"
794 "4411" "NVAL" 209.48307429190794 1.1637948571772663 9321 9 "P83" "saint marcel renardeau" "13:22:20" 9320 10 "P48" "Les Granges" "13:22:40"
804 "4211" "NVAL" 209.48307429190794 1.1637948571772663 9321 9 "P83" "saint marcel renardeau" "13:22:20" 9320 10 "P48" "Les Granges" "13:22:40"
770 "4413" "NVAL" 209.48307429190794 1.1637948571772663 8781 9 "P83" "saint marcel renardeau" "14:22:20" 8780 10 "P48" "Les Granges" "14:22:40"
782 "4213" "NVAL" 209.48307429190794 1.1637948571772663 8781 9 "P83" "saint marcel renardeau" "14:22:20" 8780 10 "P48" "Les Granges" "14:22:40"
772 "4409" "NVAL" 209.48307429190794 1.1637948571772663 8826 9 "P83" "saint marcel renardeau" "12:22:20" 8825 10 "P48" "Les Granges" "12:22:40"
784 "4209" "NVAL" 209.48307429190794 1.1637948571772663 8826 9 "P83" "saint marcel renardeau" "12:22:20" 8825 10 "P48" "Les Granges" "12:22:40"
768 "4417" "NVAL" 209.48307429190794 1.1637948571772663 8736 9 "P83" "saint marcel renardeau" "16:22:20" 8735 10 "P48" "Les Granges" "16:22:40"
780 "4217" "NVAL" 209.48307429190794 1.1637948571772663 8736 9 "P83" "saint marcel renardeau" "16:22:20" 8735 10 "P48" "Les Granges" "16:22:40"
776 "4401" "NVAL" 209.48307429190794 1.1637948571772663 8916 9 "P83" "saint marcel renardeau" "07:52:20" 8915 10 "P48" "Les Granges" "07:52:40"
788 "4201" "NVAL" 209.48307429190794 1.1637948571772663 8916 9 "P83" "saint marcel renardeau" "07:52:20" 8915 10 "P48" "Les Granges" "07:52:40"
790 "4419" "NVAL" 209.48307429190794 1.1637948571772663 9231 9 "P83" "saint marcel renardeau" "17:22:20" 9230 10 "P48" "Les Granges" "17:22:40"
800 "4219" "NVAL" 209.48307429190794 1.1637948571772663 9231 9 "P83" "saint marcel renardeau" "17:22:20" 9230 10 "P48" "Les Granges" "17:22:40"
792 "4415" "NVAL" 209.48307429190794 1.1637948571772663 9276 9 "P83" "saint marcel renardeau" "15:22:20" 9275 10 "P48" "Les Granges" "15:22:40"
802 "4215" "NVAL" 209.48307429190794 1.1637948571772663 9276 9 "P83" "saint marcel renardeau" "15:22:20" 9275 10 "P48" "Les Granges" "15:22:40"
796 "4407" "NVAL" 209.48307429190794 1.1637948571772663 9366 9 "P83" "saint marcel renardeau" "10:22:20" 9365 10 "P48" "Les Granges" "10:22:40"
806 "4207" "NVAL" 209.48307429190794 1.1637948571772663 9366 9 "P83" "saint marcel renardeau" "10:22:20" 9365 10 "P48" "Les Granges" "10:22:40"
774 "4405" "NVAL" 209.48307429190794 1.1637948571772663 8871 9 "P83" "saint marcel renardeau" "09:22:20" 8870 10 "P48" "Les Granges" "09:22:40"
786 "4205" "NVAL" 209.48307429190794 1.1637948571772663 8871 9 "P83" "saint marcel renardeau" "09:22:20" 8870 10 "P48" "Les Granges" "09:22:40"
leading_or_trailing_whitespaces WARNING 1

leading_or_trailing_whitespaces

The value in CSV file has leading or trailing whitespaces.

This notice is emitted for values protected with double quotes since whitespaces for non-protected values are trimmed automatically by CSV parser.

The validator strips whitespaces from protected values. We do not see any use case when such a whitespace may be needed. On the other hand, some real-world feeds use trailing whitespaces for some values and omit them for the others. This is causing the largest problem when a primary key and a foreign key differ just by a whitespace: it is clear that they are intended to be the same, that is why we always strip whitespaces.

You can see more about this notice here.

filename (?) The name of the faulty file. csvRowNumber (?) The row of the faulty record. fieldName (?) Faulty record's field name. fieldValue (?) Faulty value.
"stops.txt" 10 "stop_name" "Les Montagnettes "
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 199

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.

Only the first 50 of 199 affected records are displayed below.

filename (?) Name of the faulty file. fieldName (?) Name of the faulty field. fieldValue (?) Faulty value. csvRowNumber (?) The row number of the faulty record.
"agency.txt" "agency_name" "transdev" 2
"stops.txt" "stop_name" "saint marcel renardeau" 27
"stops.txt" "stop_name" "le villard" 35
"trips.txt" "trip_headsign" "VAL THORENS BAS" 2
"trips.txt" "trip_headsign" "VAL THORENS BAS" 3
"trips.txt" "trip_headsign" "VAL THORENS BAS" 4
"trips.txt" "trip_headsign" "VAL THORENS BAS" 5
"trips.txt" "trip_headsign" "VAL THORENS BAS" 6
"trips.txt" "trip_headsign" "VAL THORENS BAS" 7
"trips.txt" "trip_headsign" "VAL THORENS BAS" 8
"trips.txt" "trip_headsign" "VAL THORENS BAS" 9
"trips.txt" "trip_headsign" "VAL THORENS BAS" 10
"trips.txt" "trip_headsign" "VAL THORENS BAS" 11
"trips.txt" "trip_headsign" "VAL THORENS BAS" 12
"trips.txt" "trip_headsign" "VAL THORENS BAS" 13
"trips.txt" "trip_headsign" "VAL THORENS BAS" 14
"trips.txt" "trip_headsign" "VAL THORENS BAS" 15
"trips.txt" "trip_headsign" "VAL THORENS BAS" 16
"trips.txt" "trip_headsign" "VAL THORENS BAS" 17
"trips.txt" "trip_headsign" "VAL THORENS BAS" 18
"trips.txt" "trip_headsign" "VAL THORENS BAS" 19
"trips.txt" "trip_headsign" "VAL THORENS BAS" 20
"trips.txt" "trip_headsign" "VAL THORENS BAS" 21
"trips.txt" "trip_headsign" "VAL THORENS BAS" 22
"trips.txt" "trip_headsign" "VAL THORENS BAS" 23
"trips.txt" "trip_headsign" "VAL THORENS BAS" 24
"trips.txt" "trip_headsign" "VAL THORENS BAS" 25
"trips.txt" "trip_headsign" "VAL THORENS BAS" 26
"trips.txt" "trip_headsign" "VAL THORENS BAS" 27
"trips.txt" "trip_headsign" "VAL THORENS BAS" 28
"trips.txt" "trip_headsign" "VAL THORENS BAS" 29
"trips.txt" "trip_headsign" "VAL THORENS BAS" 30
"trips.txt" "trip_headsign" "VAL THORENS BAS" 31
"trips.txt" "trip_headsign" "VAL THORENS BAS" 32
"trips.txt" "trip_headsign" "VAL THORENS BAS" 33
"trips.txt" "trip_headsign" "VAL THORENS BAS" 34
"trips.txt" "trip_headsign" "VAL THORENS BAS" 35
"trips.txt" "trip_headsign" "VAL THORENS BAS" 36
"trips.txt" "trip_headsign" "VAL THORENS BAS" 37
"trips.txt" "trip_headsign" "VAL THORENS BAS" 38
"trips.txt" "trip_headsign" "VAL THORENS BAS" 39
"trips.txt" "trip_headsign" "VAL THORENS BAS" 40
"trips.txt" "trip_headsign" "VAL THORENS BAS" 41
"trips.txt" "trip_headsign" "VAL THORENS BAS" 42
"trips.txt" "trip_headsign" "VAL THORENS BAS" 43
"trips.txt" "trip_headsign" "VAL THORENS BAS" 44
"trips.txt" "trip_headsign" "VAL THORENS BAS" 45
"trips.txt" "trip_headsign" "VAL THORENS BAS" 46
"trips.txt" "trip_headsign" "VAL THORENS BAS" 47
"trips.txt" "trip_headsign" "VAL THORENS BAS" 48
route_long_name_contains_short_name WARNING 3

route_long_name_contains_short_name

Long name should not contain short name for a single route.

In routes.txt, route_long_name should not contain the value for route_short_name, because when both are provided, they are often combined by transit applications. Note that only one of the two fields is required. If there is no short name used for a route, use route_long_name only.

Good examples:

route_short_name/route_long_name Dataset
"N"/"Judah" Muni San Fransisco
"6"/"ML King Jr Blvd" Trimet Portland Streetcar
"55"/"Boulevard Saint Laurent" STM Montreal
"1"/"Rangiora/Cashmere" Metro Christchurch

Bad examples:

route_short_name/route_long_name
"604"/"604"
"14"/"Route 14"
"2"/"Route 2: Bellows Falls In-Town"

You can see more about this notice here.

routeId (?) The id of the faulty record. csvRowNumber (?) The row number of the faulty record. routeShortName (?) The faulty record's `route_short_name`. routeLongName (?) The faulty record's `route_long_name`.
"A" 4 "A" "A - Circuit de Reberty"
"B" 5 "B" "B - Circuit des Bruyères"
"C" 6 "C" "C - Circuit Preyerand Les Marmottes"
trip_coverage_not_active_for_next7_days WARNING 1

trip_coverage_not_active_for_next7_days

Trips data should be valid for at least the next seven days.

This notice is triggered if the date range where a significant number of trips are running ends in less than 7 days.

You can see more about this notice here.

currentDate (?) Current date (YYYYMMDD format). serviceWindowStartDate (?) The start date of the majority service window. serviceWindowEndDate (?) The end date of the majority service window.
"20260619" "20260125" "20260417"
big_gap_in_service INFO 5

big_gap_in_service

A service has a gap of more than 13 days between active service dates.

You can see more about this notice here.

serviceId (?) The service_id that has the gap. gapStartDate (?) The first day of the gap. gapEndDate (?) The last day of the gap. gapDurationDays (?) The number of days in the gap.
"5_15_25_32_38_43_47" "2026-02-06" "2026-03-08" 29
"5_15_25_32_38_47" "2026-02-06" "2026-03-08" 29
"5_43" "2026-02-01" "2026-03-08" 34
"43" "2026-01-31" "2026-03-14" 41
"5_43_47" "2026-02-06" "2026-03-08" 29
unsorted_stop_times INFO 855

unsorted_stop_times

Stop times are not sorted by trip_id and stop_sequence.

'stop_times.txt' entries for a given trip are not sorted by stop_sequence, or are not contiguous in the file.

You can see more about this notice here.

Only the first 50 of 855 affected records are displayed below.

tripId (?) The faulty record's trip_id. startCsvRowNumber (?) CSV row number of the first stop_times entry for this trip. endCsvRowNumber (?) CSV row number of the last stop_times entry for this trip.
"1220" 5121 5136
"1462" 6284 6299
"1461" 6300 6315
"1460" 4209 4224
"1459" 2915 4225
"1217" 7099 7114
"1216" 5153 5168
"1458" 6316 6331
"1215" 5169 5184
"1457" 6332 6347
"1456" 4226 4241
"1214" 7115 7130
"1455" 2945 4242
"1213" 7131 7146
"1212" 5185 5200
"1454" 6348 6363
"1211" 5201 5216
"1453" 6364 6379
"1452" 4243 4258
"1210" 7147 7162
"1219" 5137 5152
"1218" 7083 7098
"1231" 5041 5056
"1473" 6204 6219
"1472" 4158 4173
"1230" 6987 7002
"1471" 2825 4174
"1470" 6220 6235
"1228" 5057 5072
"1227" 5073 5088
"1469" 6236 6251
"3405" 8515 8524
"1468" 4175 4190
"1226" 7019 7034
"1467" 2855 4191
"1225" 7035 7050
"3403" 8525 8534
"1224" 5089 5104
"1466" 6252 6267
"1223" 5105 5120
"1465" 6268 6283
"3401" 8535 8544
"1464" 4192 4207
"1222" 7051 7066
"1463" 2885 4208
"1221" 7067 7082
"3409" 8495 8504
"1229" 7003 7018
"3407" 8505 8514
"1484" 4037 4049