GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-02-03T23:38:27Z,
for the dataset file:///shared/tcat_45f1e2a7.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: 705
  • Routes: 0
  • Shapes: 157
  • Stops: 1615
  • Trips: 5751

Specification Compliance report

39651 notices reported (37852 errors, 1799 warnings, 0 infos)

Notice Code Severity Total
decreasing_or_equal_stop_time_distance ERROR 37851

decreasing_or_equal_stop_time_distance

Decreasing or equal shape_dist_traveled in stop_times.txt.

When sorted by stop_times.stop_sequence, two consecutive entries in stop_times.txt should have increasing distance, based on the field shape_dist_traveled. If the values are equal, this is considered as an error.

You can see more about this notice here.

Only the first 50 of 37851 affected records are displayed below.

tripId (?) The id of the faulty trip. stopId (?) The id of the faulty stop. csvRowNumber (?) The row number from `stop_times.txt`. shapeDistTraveled (?) Actual distance traveled along the shape from the first shape point to the faulty record. stopSequence (?) The faulty record's `stop_times.stop_sequence`. prevCsvRowNumber (?) The row number from `stop_times.txt` of the previous stop time. prevShapeDistTraveled (?) Actual distance traveled along the shape from the first shape point to the previous stop time. prevStopSequence (?) The previous record's `stop_times.stop_sequence`.
"1407085" "30142" 85175 0.0 2 85172 0.0 1
"1407085" "30028" 85173 0.0 3 85175 0.0 2
"1407085" "30270" 85182 0.0 4 85173 0.0 3
"1407085" "30146" 85176 0.0 5 85182 0.0 4
"1407085" "30216" 85178 0.0 6 85176 0.0 5
"1407085" "30222" 85179 0.0 7 85178 0.0 6
"1407085" "30268" 85181 0.0 8 85179 0.0 7
"1407085" "30163" 85177 0.0 9 85181 0.0 8
"1407085" "30043" 85174 0.0 10 85177 0.0 9
"1407085" "30264" 85180 0.0 11 85174 0.0 10
"1407085" "30297" 85183 0.0 12 85180 0.0 11
"1407084" "30142" 85163 0.0 2 85160 0.0 1
"1407084" "30028" 85161 0.0 3 85163 0.0 2
"1407084" "30270" 85170 0.0 4 85161 0.0 3
"1407084" "30146" 85164 0.0 5 85170 0.0 4
"1407084" "30216" 85166 0.0 6 85164 0.0 5
"1407084" "30222" 85167 0.0 7 85166 0.0 6
"1407084" "30268" 85169 0.0 8 85167 0.0 7
"1407084" "30163" 85165 0.0 9 85169 0.0 8
"1407084" "30043" 85162 0.0 10 85165 0.0 9
"1407084" "30264" 85168 0.0 11 85162 0.0 10
"1407084" "30297" 85171 0.0 12 85168 0.0 11
"1407083" "30142" 85151 0.0 2 85148 0.0 1
"1407083" "30028" 85149 0.0 3 85151 0.0 2
"1407083" "30270" 85158 0.0 4 85149 0.0 3
"1407083" "30146" 85152 0.0 5 85158 0.0 4
"1407083" "30216" 85154 0.0 6 85152 0.0 5
"1407083" "30222" 85155 0.0 7 85154 0.0 6
"1407083" "30268" 85157 0.0 8 85155 0.0 7
"1407083" "30163" 85153 0.0 9 85157 0.0 8
"1407083" "30043" 85150 0.0 10 85153 0.0 9
"1407083" "30264" 85156 0.0 11 85150 0.0 10
"1407083" "30297" 85159 0.0 12 85156 0.0 11
"1407082" "30142" 85139 0.0 2 85136 0.0 1
"1407082" "30028" 85137 0.0 3 85139 0.0 2
"1407082" "30270" 85146 0.0 4 85137 0.0 3
"1407082" "30146" 85140 0.0 5 85146 0.0 4
"1407082" "30216" 85142 0.0 6 85140 0.0 5
"1407082" "30222" 85143 0.0 7 85142 0.0 6
"1407082" "30268" 85145 0.0 8 85143 0.0 7
"1407082" "30163" 85141 0.0 9 85145 0.0 8
"1407082" "30043" 85138 0.0 10 85141 0.0 9
"1407082" "30264" 85144 0.0 11 85138 0.0 10
"1407082" "30297" 85147 0.0 12 85144 0.0 11
"1407089" "30142" 85228 0.0 2 85224 0.0 1
"1407089" "30192" 85231 0.0 3 85228 0.0 2
"1407089" "30224" 85233 0.0 4 85231 0.0 3
"1407089" "30158" 85229 0.0 5 85233 0.0 4
"1407089" "30218" 85232 0.0 6 85229 0.0 5
"1407089" "30108" 85226 0.0 7 85232 0.0 6
invalid_row_length ERROR 1

invalid_row_length

Invalid csv row length.

A row in the input file has a different number of values than specified by the CSV header.

You can see more about this notice here.

filename (?) The name of the faulty file. csvRowNumber (?) The row of the faulty record. rowLength (?) The length of the faulty record. headerCount (?) The number of column in the faulty file.
"routes.txt" 57 8 9
expired_calendar WARNING 4

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 "101"
12 "102"
13 "103"
14 "104"
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 1780

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 1780 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.
"routes.txt" "route_long_name" "ST JULIEN MOLINE-RIVIERE DE CORPS" 2
"routes.txt" "route_long_name" "CHANTEREIGNE-ST GERMAIN" 3
"routes.txt" "route_long_name" "PONT STE MARIE EUREKA-TROYES CENTRE" 4
"routes.txt" "route_long_name" "BREVIANDES-LA CHAPELLE PRES DE LYON" 5
"routes.txt" "route_long_name" "ST JULIEN GANNE-CHAPELLE ST LUC" 6
"routes.txt" "route_long_name" "LA CHAPELLE PRES DE LYON-CHARTREUX" 7
"routes.txt" "route_long_name" "ST PARRES ASCLEPIADE-CHAPELLE ST LUC" 8
"routes.txt" "route_long_name" "CRENEY PRES TROYES-RIVIERE DE CORPS" 9
"routes.txt" "route_long_name" "BUCHERE ST LEGER-CHAPELLE ST LUC" 10
"routes.txt" "route_long_name" "BARBEREY-ST JULIEN" 11
"routes.txt" "route_long_name" "LES NOËS STE SAVINE-ST JULIEN" 12
"routes.txt" "route_long_name" "ST GERMAIN-CHAPELLE ST LUC" 13
"routes.txt" "route_long_name" "CHAPELLE ST LUC-TROYES" 14
"routes.txt" "route_long_name" "TROYES CENTRE-ST PARRES" 15
"routes.txt" "route_long_name" "ROSIERES TROYES-TROYES CENTRE" 16
"routes.txt" "route_long_name" "NAVETTE ETUDIANTE" 18
"routes.txt" "route_long_name" "CHAPELLE ST LUC-ST JULIEN" 19
"routes.txt" "route_long_name" "TROYES CENTRE-CRENEY-LAVAU" 20
"routes.txt" "route_long_name" "CHAPELLE ST LUC JUIN-CHARTREUX" 21
"routes.txt" "route_long_name" "CHANTEREIGNE-MARIE DE CHAMPAGNE" 22
"routes.txt" "route_long_name" "EUREKA-CHARTREUX" 23
"routes.txt" "route_long_name" "ST ANDRE-CAMPUS HERRIOT" 25
"routes.txt" "route_long_name" "EUREKA-SENARDES" 26
"routes.txt" "route_long_name" "EUREKA-ST PARRES" 27
"routes.txt" "route_long_name" "FOUCHY-LA CHAPELLE ST LUC" 28
"routes.txt" "route_long_name" "ST JULIEN-CHARTREUX" 29
"routes.txt" "route_long_name" "RIV DE CORPS-LANGEVIN" 30
"routes.txt" "route_long_name" "ECHENILLY-MONTIER LA CELLE" 31
"routes.txt" "route_long_name" "BERTHELIN DE ROSIERES-CURIE" 32
"routes.txt" "route_long_name" "VILLEPART-MARIE CURIE" 33
"routes.txt" "route_long_name" "SILLONS DE LYS-BEURNONVILLE" 34
"routes.txt" "route_long_name" "VERRIERES-LYCEE TECHNIQUE" 35
"routes.txt" "route_long_name" "TORVILLIERS-LANGEVIN" 36
"routes.txt" "route_long_name" "ST PARRES-HALLE" 37
"routes.txt" "route_long_name" "GENDARMERIE ROSIERES-ECOLES DE ROSIERES" 38
"routes.txt" "route_long_name" "NAVETTE PAYNS" 39
"routes.txt" "route_long_name" "BUS-TRAIN" 40
"routes.txt" "route_long_name" "COEUR DE TROYES" 41
"routes.txt" "route_long_name" "PARC GD TROYES VERS TORVILLIERS-PRUGNY-VAUCHASSIS" 42
"routes.txt" "route_long_name" "RIVIERE DE C. VERS TORVILLIERS-PRUGNY-VAUCHASSIS" 43
"routes.txt" "route_long_name" "PARC GD TROYES - CTRE ADMIN. VERS MESSON" 44
"routes.txt" "route_long_name" "VERRIERES VERS BUCHERES" 45
"routes.txt" "route_long_name" "SAINT THIBAULT VERS BUCHERES" 46
"routes.txt" "route_long_name" "BUCHERES VERS MOUSSEY" 47
"routes.txt" "route_long_name" "CENTRE COMMERCIAL BARBEREY VERS AEROPORT" 48
"routes.txt" "route_long_name" "SAINT GERMAIN VERS LEPINE - LAINES AUX BOIS" 49
"routes.txt" "route_long_name" "ST GERMAIN VERS ST POUANGE" 50
"routes.txt" "route_long_name" "CHAPELLE ST LUC VERS GRANGE L EV. - MESNIL - MACEY" 51
"routes.txt" "route_long_name" "CHAPELLE ST LUC VERS MONTGUEUX" 52
"routes.txt" "route_long_name" "BOURANTON VERS SAINT PARRES" 53
route_color_contrast WARNING 1

route_color_contrast

Insufficient route color contrast.

A route's color and route_text_color should be contrasting.

You can see more about this notice here.

routeId (?) The id of the faulty record. csvRowNumber (?) The row number of the faulty record. routeColor (?) The faulty record's HTML route color. routeTextColor (?) The faulty record's HTML route text color.
"167" 41 "#CCDD8C" "#FFFFFF"
stop_without_stop_time WARNING 13

stop_without_stop_time

A stop in stops.txt is not referenced by any stop_times.stop_id.

Such stops are not used by any trip and normally do not provide user value. This notice may indicate a typo in stop_times.txt.

You can see more about this notice here.

csvRowNumber (?) The row number of the faulty record. stopId (?) The id of the faulty stop. stopName (?) The name of the faulty stop.
24 "30022" "BLOSSIERES"
71 "30069" "DE CHAMPAIGNE"
73 "30071" "DELPHIN"
74 "30072" "DESVIGNES"
117 "30115" "HUGUIER"
121 "30119" "JACOBINS"
123 "30121" "JOBERT"
128 "30126" "LANGEVIN"
158 "30156" "MAIRIE MONTGUEUX"
204 "30202" "PARC DE LA FONTAINE"
222 "30220" "PREFECTURE"
247 "30245" "ROUTE DU LAC"
282 "30280" "THEATRE DE CHAMP."