gtfs-twisto — Source Data Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-03-23T20:20:38Z,
for the dataset file:///shared/gtfs-twisto_ad149519.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: 2
  • Blocks: 872
  • Routes: 82
  • Shapes: 397
  • Stops: 2282
  • Trips: 9706

Specification Compliance report

3988 notices reported (3780 errors, 208 warnings, 0 infos)

Notice Code Severity Total
decreasing_or_equal_stop_time_distance ERROR 3780

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 3780 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`.
"7050775-26HIV01-EP_VSEM-Pastel-05-1111000" "pexn01" 46777 0.0 2 46776 0.0 1
"7050775-26HIV01-EP_VSEM-Pastel-05-1111000" "lyma11" 46778 0.0 3 46777 0.0 2
"7050775-26HIV01-EP_VSEM-Pastel-05-1111000" "hdvc02" 46779 0.0 4 46778 0.0 3
"7050775-26HIV01-EP_VSEM-Pastel-05-1111000" "demo" 46780 0.0 5 46779 0.0 4
"7050775-26HIV01-EP_VSEM-Pastel-05-1111000" "stasb01" 46781 0.0 6 46780 0.0 5
"7050775-26HIV01-EP_VSEM-Pastel-05-1111000" "chdc01" 46782 0.0 7 46781 0.0 6
"7050775-26HIV01-EP_VSEM-Pastel-05-1111000" "tl.2" 46783 0.0 8 46782 0.0 7
"7050775-26HIV01-EP_VSEM-Pastel-05-1111000" "pc02" 46784 0.0 9 46783 0.0 8
"7050775-26HIV01-EP_VSEM-Pastel-05-1111000" "qulo02" 46785 0.0 10 46784 0.0 9
"7050775-26HIV01-EP_VSEM-Pastel-05-1111000" "pril01" 46786 0.0 11 46785 0.0 10
"7050775-26HIV01-EP_VSEM-Pastel-05-1111000" "biat01" 46787 0.0 12 46786 0.0 11
"7050775-26HIV01-EP_VSEM-Pastel-05-1111000" "rorn12" 46788 0.0 13 46787 0.0 12
"7050775-26HIV01-EP_VSEM-Pastel-05-1111000" "quha11" 46789 0.0 14 46788 0.0 13
"7050775-26HIV01-EP_VSEM-Pastel-05-1111000" "pl3601" 46790 0.0 15 46789 0.0 14
"7050775-26HIV01-EP_VSEM-Pastel-05-1111000" "sj01" 46791 0.0 16 46790 0.0 15
"7050775-26HIV01-EP_VSEM-Pastel-05-1111000" "th32" 46792 0.0 17 46791 0.0 16
"7050775-26HIV01-EP_VSEM-Pastel-05-1111000" "ecuy01" 46793 0.0 18 46792 0.0 17
"7050775-26HIV01-EP_VSEM-Pastel-05-1111000" "cons02" 46794 0.0 19 46793 0.0 18
"7050775-26HIV01-EP_VSEM-Pastel-05-1111000" "lyma12" 46795 0.0 20 46794 0.0 19
"7050775-26HIV01-EP_VSEM-Pastel-05-1111000" "pexn02" 46796 0.0 21 46795 0.0 20
"7050775-26HIV01-EP_VSEM-Pastel-05-1111000" "queb11" 46797 0.0 22 46796 0.0 21
"7050852-26HIV01-EP_HSEM-Semaine-00" "pexn01" 48669 0.0 2 48668 0.0 1
"7050852-26HIV01-EP_HSEM-Semaine-00" "lyma11" 48670 0.0 3 48669 0.0 2
"7050852-26HIV01-EP_HSEM-Semaine-00" "hdvc02" 48671 0.0 4 48670 0.0 3
"7050852-26HIV01-EP_HSEM-Semaine-00" "demo" 48672 0.0 5 48671 0.0 4
"7050852-26HIV01-EP_HSEM-Semaine-00" "stasb01" 48673 0.0 6 48672 0.0 5
"7050852-26HIV01-EP_HSEM-Semaine-00" "chdc01" 48674 0.0 7 48673 0.0 6
"7050852-26HIV01-EP_HSEM-Semaine-00" "tl.2" 48675 0.0 8 48674 0.0 7
"7050852-26HIV01-EP_HSEM-Semaine-00" "pc02" 48676 0.0 9 48675 0.0 8
"7050852-26HIV01-EP_HSEM-Semaine-00" "qulo02" 48677 0.0 10 48676 0.0 9
"7050852-26HIV01-EP_HSEM-Semaine-00" "pril01" 48678 0.0 11 48677 0.0 10
"7050852-26HIV01-EP_HSEM-Semaine-00" "biat01" 48679 0.0 12 48678 0.0 11
"7050852-26HIV01-EP_HSEM-Semaine-00" "rorn12" 48680 0.0 13 48679 0.0 12
"7050852-26HIV01-EP_HSEM-Semaine-00" "quha11" 48681 0.0 14 48680 0.0 13
"7050852-26HIV01-EP_HSEM-Semaine-00" "pl3601" 48682 0.0 15 48681 0.0 14
"7050852-26HIV01-EP_HSEM-Semaine-00" "sj01" 48683 0.0 16 48682 0.0 15
"7050852-26HIV01-EP_HSEM-Semaine-00" "th32" 48684 0.0 17 48683 0.0 16
"7050852-26HIV01-EP_HSEM-Semaine-00" "ecuy01" 48685 0.0 18 48684 0.0 17
"7050852-26HIV01-EP_HSEM-Semaine-00" "cons02" 48686 0.0 19 48685 0.0 18
"7050852-26HIV01-EP_HSEM-Semaine-00" "lyma12" 48687 0.0 20 48686 0.0 19
"7050852-26HIV01-EP_HSEM-Semaine-00" "pexn02" 48688 0.0 21 48687 0.0 20
"7050852-26HIV01-EP_HSEM-Semaine-00" "queb11" 48689 0.0 22 48688 0.0 21
"7050873-26HIV01-EP_HSEM-Semaine-00-1111000" "pexn01" 47679 0.0 2 47678 0.0 1
"7050873-26HIV01-EP_HSEM-Semaine-00-1111000" "lyma11" 47680 0.0 3 47679 0.0 2
"7050873-26HIV01-EP_HSEM-Semaine-00-1111000" "hdvc02" 47681 0.0 4 47680 0.0 3
"7050873-26HIV01-EP_HSEM-Semaine-00-1111000" "demo" 47682 0.0 5 47681 0.0 4
"7050873-26HIV01-EP_HSEM-Semaine-00-1111000" "stasb01" 47683 0.0 6 47682 0.0 5
"7050873-26HIV01-EP_HSEM-Semaine-00-1111000" "chdc01" 47684 0.0 7 47683 0.0 6
"7050873-26HIV01-EP_HSEM-Semaine-00-1111000" "tl.2" 47685 0.0 8 47684 0.0 7
"7050873-26HIV01-EP_HSEM-Semaine-00-1111000" "pc02" 47686 0.0 9 47685 0.0 8
expired_calendar WARNING 6

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.
12 "25HIV01-_ST_HSAM-Samedi-20"
34 "25HIV01-T1T2T3-Samedi-00"
36 "25HIV01-_ST_HDIM-Dimanche-01"
44 "25HIV01-_EP_HSAM-Samedi-30"
71 "25HIV01-T1T2T3-Dimanche-10"
115 "25HIV01-_EP_HDIM-Dimanche-30"
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 30

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.
"trips.txt" "trip_headsign" "CREULLY SUR SEULLES / CAEN" 9237
"trips.txt" "trip_headsign" "EVRECY / CAEN" 9323
"trips.txt" "trip_headsign" "CAEN / BANNEVILLE-SUR-AJON" 9331
"trips.txt" "trip_headsign" "CAEN / MUTRECY" 9364
"trips.txt" "trip_headsign" "CAEN / MUTRECY" 9365
"trips.txt" "trip_headsign" "DEAUVILLE / CAEN" 9437
"trips.txt" "trip_headsign" "DEAUVILLE / CAEN" 9438
"trips.txt" "trip_headsign" "DEAUVILLE / CAEN" 9439
"trips.txt" "trip_headsign" "HOTTOT LES BAGUES / CAEN" 9521
"trips.txt" "trip_headsign" "VIRE / CAEN" 9536
"trips.txt" "trip_headsign" "VIRE / CAEN" 9537
"trips.txt" "trip_headsign" "VIRE / CAEN" 9538
"trips.txt" "trip_headsign" "VIRE / CAEN" 9539
"trips.txt" "trip_headsign" "VIRE / CAEN" 9540
"trips.txt" "trip_headsign" "VIRE / CAEN" 9541
"trips.txt" "trip_headsign" "VIRE / CAEN" 9542
"stops.txt" "stop_name" "CITIS (poteau provisoire)" 77
"stops.txt" "stop_name" "PAJ MJC" 175
"stops.txt" "stop_name" "3ème DIB" 240
"stops.txt" "stop_name" "CROUS-SUAPS" 621
"stops.txt" "stop_name" "PAJ-MJC" 783
"stops.txt" "stop_name" "PAJ-MJC" 885
"stops.txt" "stop_name" "CROUS-SUAPS" 915
"stops.txt" "stop_name" "3ème DIB" 1041
"stops.txt" "stop_name" "3ème DIB" 1728
"stops.txt" "stop_name" "CITIS (poteau provisoire)" 1901
"stops.txt" "stop_name" "CITIS (poteau provisoire)" 1926
"stops.txt" "stop_name" "CROUS-SUAPS" 2005
"routes.txt" "route_short_name" "10EX" 17
"routes.txt" "route_short_name" "11EX" 19
route_long_name_contains_short_name WARNING 6

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`.
"6A" 11 "6A" "6A HÉROUVILLE Saint-Clair"
"6B" 12 "6B" "6B HÉROUVILLE Saint-Clair"
"137A" 64 "137A" "137A IFS Collège Senghor - GRENTHEVILLE le Hameau"
"137B" 65 "137B" "137B IFS Collège Senghor - BOURGUEBUS La Hogue"
"138C" 67 "138C" "138C IFS Collège Senghor - SOLIERS Hameau du Four"
"138D" 68 "138D" "138D IFS Collège Senghor - SOLIERS Hameau du Four"
same_name_and_description_for_stop WARNING 161

same_name_and_description_for_stop

Same name and description for stop.

The GTFS spec defines stops.txt stop_description as:

Description of the location that provides useful, quality information. Do not simply duplicate the name of the location.

You can see more about this notice here.

Only the first 50 of 161 affected records are displayed below.

csvRowNumber (?) The row number of the faulty record. stopId (?) The id of the faulty record. stopDesc (?) The faulty record's `stop_desc`.
780 "rbay02" "Route de Bayeux"
782 "rbay01" "Route de Bayeux"
784 "hipp02" "Hippodrome"
791 "chrm01" "Charmettes"
815 "1151699" "Lazzaro"
835 "pexn02" "Zénith"
837 "pexn01" "Zénith"
846 "1153664" "Verson centre"
856 "cpam01" "CPAM"
862 "rtpa01" "Route de Paris"
869 "rtpa02" "Route de Paris"
881 "1151555" "Bas manoir"
911 "SAC022B" "La jalousie"
940 "sali01" "Libération"
941 "laja01" "La jalousie"
942 "poes02" "Porte d'espagne"
945 "rumo22" "Moulin"
946 "C020A" "Place Courtonne"
953 "poes01" "Porte d'espagne"
961 "chuo02" "Mont coco"
965 "chrm02" "Charmettes"
988 "peric01" "Péricentre"
1006 "psau01" "Place des saules"
1008 "mfca01" "Le Fresne mairie"
1009 "cons02" "Hôtel de ville quai 3"
1011 "bore01" "Le bout renard"
1013 "odon01" "Odon"
1054 "mala01" "maladrerie"
1062 "egbr01" "Bretteville église"
1063 "egbr02" "Bretteville église"
1064 "htha01" "Hauts de Thaon"
1096 "grbo01" "Grand bois"
1100 "1153119" "Libération"
1101 "crva01" "Croix vautier"
1125 "1151908" "Campus 2"
1141 "burr02" "Burrator"
1153 "bore02" "Le bout renard"
1173 "grbu01" "Grands bureaux"
1176 "grbu02" "Grands bureaux"
1208 "mafo01" "Maurice Fouques"
1211 "semi01" "Séminaire"
1213 "htha02" "Hauts de Thaon"
1222 "bel01" "Bellivet"
1234 "gruch01" "Gruchy"
1236 "pres02" "Pressoir"
1237 "psau02" "Place des saules"
1278 "vaug01" "Vaugueux"
1313 "C029B" "Lycée Malherbe"
1314 "C029A" "Lycée Malherbe"
1319 "sene01" "Senestre"
stop_has_too_many_matches_for_shape WARNING 1

stop_has_too_many_matches_for_shape

Stop entry that has many potential matches to the trip's path of travel, as defined by the shape entry in shapes.txt.

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. matchCount (?) The number of matches for the stop that is referred to.
8835 "40_44D0EFD0CC1F1665F812C8D983D427D9" "7143716-26HIV01-_ST_HSEM-Semaine-00" 293408 "zico01" "Cormelles ZI" [49.15748459918757,-0.32435912905029324] 26
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.
2340 "NVCV_6DE6D9DDA76D3300C2FFDBB489491FBC" "7050754-26HIV01-EP_VSEM-Pastel-05-0000100" 44445 "pril01" "Bibliothèque" [49.18268,-0.350525] 100.37309391373137
2578 "1_5755EC4BD64FB66D489868B638031E58" "6740669-25HIV01-_EP_HSAM-Samedi-30" 49621 "edro01" "Edmond Rostand" [49.17349324567332,-0.3344319910623182] 112.3481089723789
5788 "7_E167D6C9C742107DBDB47F767BAC18B6" "6747749-25HIV01-_EP_HSAM-Samedi-30" 175091 "orgo12" "Orée du Golf" [49.22164943956004,-0.3664754822806715] 214.77049747436143