tougo — Source Data Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 8.0.1 at 2026-08-01T07:53:48Z,
for the dataset file:///shared/tougo_006d048c.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included


Feed Info


Publisher Name:
Mobilités M - Grésivaudan
Feed Email:
N/A
Feed Language:
French

Files included


  1. agency.txt
  2. booking_rules.txt
  3. calendar.txt
  4. calendar_dates.txt
  5. fare_attributes.txt
  6. fare_rules.txt
  7. feed_info.txt
  8. frequencies.txt
  9. routes.txt
  10. shapes.txt
  11. stop_times.txt
  12. stops.txt
  13. transfers.txt
  14. trips.txt

Counts


  • Agencies: 1
  • Blocks: 0
  • Routes: 23
  • Shapes: 36
  • Stops: 599
  • Trips: 642

Specification Compliance report

42 notices reported (0 errors, 16 warnings, 26 infos)

Notice Code Severity Total
equal_shape_distance_same_coordinates WARNING 2

equal_shape_distance_same_coordinates

Two consecutive points have equal shape_dist_traveled and the same lat/lon coordinates in shapes.txt.

When sorted by shape.shape_pt_sequence, the values for shape_dist_traveled must increase along a shape. Two consecutive points with equal values for shape_dist_traveled and the same coordinates indicate a duplicative shape point.

You can see more about this notice here.

shapeId (?) The id of the faulty shape. csvRowNumber (?) The row number from `shapes.txt`. shapeDistTraveled (?) Actual distance traveled along the shape from the first shape point to the faulty record. shapePtSequence (?) The faulty record's `shapes.shape_pt_sequence`. prevCsvRowNumber (?) The row number from `shapes.txt` of the previous shape point. prevShapeDistTraveled (?) Actual distance traveled along the shape from the first shape point to the previous shape point. prevShapePtSequence (?) The previous record's `shapes.shape_pt_sequence`.
"GSV_75_1" 1787 24891.73 261 1786 24891.73 260
"GSV_75_2" 2258 22427.38 225 2257 22427.38 224
expired_calendar WARNING 1

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.
11 "6"
missing_feed_contact_email_and_url WARNING 1

missing_feed_contact_email_and_url

Best Practices for feed_info.txt suggest providing at least one of feed_contact_email and feed_contact_url.

You can see more about this notice here.

csvRowNumber (?) The row number of the validated record.
2
missing_recommended_field WARNING 4

missing_recommended_field

A recommended field is missing.

The given field has no value in some input row, even though values are recommended.

You can see more about this notice here.

filename (?) The name of the faulty file. csvRowNumber (?) The row of the faulty record. fieldName (?) The name of the missing field.
"feed_info.txt" 2 "feed_start_date"
"feed_info.txt" 2 "feed_end_date"
"feed_info.txt" 2 "feed_version"
"fare_attributes.txt" 2 "agency_id"
mixed_case_recommended_field WARNING 1

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.
"booking_rules.txt" "message" "au plus tard la veille avant 18 h (les réservations pour les lundis doivent se faire au minimum le vendredi avant 18 h)." 2
route_long_name_contains_short_name WARNING 1

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`.
"380" 5 "380" "380"
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.
14 "GSV_C9_1" "183525" 6255 "10782" "Montbonnot-Saint-Martin, Pré de l'Eau" [45.22429498463646,5.819788463913311] 139.31436824758404
52 "GSV_76_6" "183400" 3528 "10130" "Pontcharra, Collège Marcel Chêne Parking" [45.43343000000001,6.007759999999999] 146.2330380422635
635 "GSV_76_1" "183466" 3626 "10130" "Pontcharra, Collège Marcel Chêne Parking" [45.43354,6.007789999999999] 152.7379670485876
stops_match_shape_out_of_order WARNING 3

stops_match_shape_out_of_order

Two stop entries are different than their arrival-departure order defined by shapes.txt.

This could indicate a problem with the location of the stops, the path of the shape, or the sequence of the stops for their trip.

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. stopTimeCsvRowNumber1 (?) The row number of the first faulty record from `stop_times.txt`. stopId1 (?) The id of the first stop that is referred to. stopName1 (?) The name of the first stop that is referred to. match1 (?) Latitude and longitude pair of the first matching location. stopTimeCsvRowNumber2 (?) The row number of the second faulty record from `stop_times.txt`. stopId2 (?) The id of the second stop that is referred to. stopName2 (?) The name of the second stop that is referred to. match2 (?) Latitude and longitude pair of the second matching location.
48 "GSV_N97_2" "65087" 9212 "11090" "Allevard, Les Amoureux" [45.39630174755637,6.073687490377922] 9211 "10002" "Allevard, Allevard Collège" [45.400016323102676,6.077117869162212]
86 "GSV_N97_2" "78593" 9402 "11090" "Allevard, Les Amoureux" [45.39630174755637,6.073687490377922] 9401 "10002" "Allevard, Allevard Collège" [45.400016323102676,6.077117869162212]
76 "GSV_76_5" "183397" 3711 "10130" "Pontcharra, Collège Marcel Chêne Parking" [45.43219,6.008940000000002] 3710 "10700" "Pontcharra, Lycée Pierre Terrail Parvis" [45.4340021887604,6.016017035989904]
big_gap_in_service INFO 2

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.
"57" "2026-07-03" "2026-09-01" 59
"57" "2026-10-16" "2026-11-02" 16
trip_headsign_matches_intermediate_stop INFO 4

trip_headsign_matches_intermediate_stop

Trip headsign matches the name of an intermediate stop, not the last stop.

The trip_headsign matches the stop_name of a stop that is not the last stop of the trip. This may confuse passengers boarding after that stop, since the headsign suggests the vehicle is heading to a stop it has already passed.

You can see more about this notice here.

csvRowNumber (?) The row number of the faulty record in `trips.txt`. tripId (?) The id of the trip with the problematic headsign. tripHeadsign (?) The headsign value that matches an intermediate stop name. stopId1 (?) The id of the intermediate stop whose name matches the headsign. stopSequence (?) The stop_sequence value of the intermediate stop that matches the headsign. stopId2 (?) The id of the actual last stop of the trip.
18 "183386" "Domène, Domène Mairie" "3485" 2 "3484"
40 "183388" "Domène, Domène Mairie" "3485" 1 "3484"
114 "183389" "Domène, Domène Mairie" "3485" 1 "3484"
320 "183387" "Domène, Domène Mairie" "3485" 2 "3484"
unknown_column INFO 1

unknown_column

A column name is unknown.

You can see more about this notice here.

filename (?) The name of the faulty file. fieldName (?) The name of the unknown column. index (?) The index of the faulty column.
"feed_info.txt" "feed_id" 4
unsorted_stop_times INFO 19

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.

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.
"183408" 3577 3593
"65495" 2205 3646
"183502" 2958 2973
"183507" 2390 2434
"183508" 2173 2216
"135350" 6986 7005
"183587" 2830 2842
"183467" 3084 3109
"183460" 3297 3315
"183341" 1957 2000
"88424" 162 8112
"183471" 3642 3658
"183569" 2625 2637
"65112" 228 8924
"183438" 3909 3922
"135167" 2903 2915
"183289" 215 233
"65500" 3914 8932
"183274" 160 178