GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 5.0.1 at 2024-06-08T07:58:47Z,
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. shapes.txt
  6. stop_times.txt
  7. stops.txt
  8. trips.txt

Counts

  • Agencies: 1
  • Blocks: 1
  • Routes: 113
  • Shapes: 290
  • Stops: 1777
  • Trips: 1317

GTFS Features included (?) GTFS features provide a standardized vocabulary to define and describe features that are officially adopted in GTFS.

ShapesRoute ColorsHeadsignsWheelchair AccessibilityBikes AllowanceLocation Types

Specification Compliance report

2627 notices reported (1197 errors, 1430 warnings, 0 infos)

Notice Code Severity Total
decreasing_or_equal_stop_time_distance ERROR 13

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.

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`.
"40403_0" "DSAPLB1" 2766 23803.865 6 2765 23803.865 5
"35317_0" "BRECOE2" 2657 0.0 2 2656 0.0 1
"41853_0" "SATTAR2" 760 30421.504 10 759 30421.504 9
"41855_0" "SATTAR2" 786 30421.504 10 785 30421.504 9
"39894_0" "SATTAR2" 2236 13742.655 4 2235 13742.655 3
"41560_0" "SATTAR1" 741 4743.36 4 740 4743.36 3
"41856_0" "SATTAR2" 799 30421.504 10 798 30421.504 9
"39880_0" "BRECOE2" 2751 0.0 2 2750 0.0 1
"35323_0" "BRECOE2" 2704 0.0 2 2703 0.0 1
"40404_0" "DSAPLB2" 2776 24171.865 7 2775 24171.865 6
"39895_0" "SATTAR2" 2246 13742.655 4 2245 13742.655 3
"39893_0" "SATTAR1" 2225 5816.023 3 2224 5816.023 2
"41854_0" "SATTAR2" 773 30421.504 10 772 30421.504 9
trip_distance_exceeds_shape_distance ERROR 1184

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.

Only the first 50 of 1184 affected records are displayed below.

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.
"41541_0" "101_325C9C84851F7BD71F3279F979FC95B6" 35593.656 0.0 13973.552989180713
"41542_0" "101_3F2DC40FF0E638ADFDB94C56587369C4" 31207.35 0.0 13966.341581400058
"41543_0" "101_3F2DC40FF0E638ADFDB94C56587369C4" 31207.35 0.0 13966.341581400058
"41544_0" "101_3F2DC40FF0E638ADFDB94C56587369C4" 31207.35 0.0 13966.341581400058
"41545_0" "101_3F2DC40FF0E638ADFDB94C56587369C4" 31207.35 0.0 13966.341581400058
"41838_0" "102_6B2C65A207C5F279C9CFF1D76BAE7387" 45125.914 0.0 14876.283610048426
"41839_0" "102_E488B87567C6FA54D33CFD9111138737" 43556.65 0.0 14872.85667674672
"41840_0" "102_E488B87567C6FA54D33CFD9111138737" 43556.65 0.0 14872.85667674672
"41841_0" "102_E488B87567C6FA54D33CFD9111138737" 43556.65 0.0 14872.85667674672
"41842_0" "102_E488B87567C6FA54D33CFD9111138737" 43556.65 0.0 14872.85667674672
"39762_0" "103_8275C35B20032092BA78468C07DCC5C2" 41597.957 0.0 22448.382015618023
"39764_0" "103_7936FD12A13E561FF8FBF274D2B2456D" 40524.8 0.0 22444.420474113438
"39765_0" "103_7936FD12A13E561FF8FBF274D2B2456D" 40524.8 0.0 22444.420474113438
"39766_0" "103_7936FD12A13E561FF8FBF274D2B2456D" 40524.8 0.0 22444.420474113438
"39767_0" "103_7936FD12A13E561FF8FBF274D2B2456D" 40524.8 0.0 22444.420474113438
"39769_0" "104_8E939FD5C66518159ABF8867C6C9AC84" 35308.8 0.0 17741.41844962792
"39770_0" "104_0BB60A11BEEBCD1C26A037C82D396117" 38175.664 0.0 18235.197621414332
"41551_0" "104_CAEAE06382D91368CEA7E263A7C3A652" 39709.547 0.0 23022.44815679187
"41552_0" "104_132B75B189A101E7E38C644945C5B114" 52850.887 0.0 23018.83136558671
"41553_0" "104_132B75B189A101E7E38C644945C5B114" 52850.887 0.0 23018.83136558671
"41554_0" "104_132B75B189A101E7E38C644945C5B114" 52850.887 0.0 23018.83136558671
"41555_0" "104_132B75B189A101E7E38C644945C5B114" 52850.887 0.0 23018.83136558671
"40322_0" "105_017B4D6FAB3F8A3F880C83C83858BE33" 5247.94 0.0 3375.6297684314495
"40323_0" "105_017B4D6FAB3F8A3F880C83C83858BE33" 5247.94 0.0 3375.6297684314495
"40324_0" "105_017B4D6FAB3F8A3F880C83C83858BE33" 5247.94 0.0 3375.6297684314495
"41868_0" "105_9DAA2E31081208AFBCB9BF0CFAAF1435" 36818.72 0.0 18250.823676642787
"40433_0" "111_E3676C3B06C241E26984A8FE6629863B" 44412.035 0.0 17085.418851482227
"41843_0" "111_14934BE1C5224FA6D96BAD3DEBA3142B" 27172.357 0.0 12805.648479783953
"41845_0" "111_1732B9F8CFEB4B10CBFDE960E94BD35D" 48338.812 0.0 17092.45553313898
"41846_0" "111_1732B9F8CFEB4B10CBFDE960E94BD35D" 48338.812 0.0 17092.45553313898
"41847_0" "111_1732B9F8CFEB4B10CBFDE960E94BD35D" 48338.812 0.0 17092.45553313898
"41844_0" "111_1732B9F8CFEB4B10CBFDE960E94BD35D" 48338.812 0.0 17092.45553313898
"41050_0" "112_E90A7DEAD1F54B7A3479B39102846C8C" 21866.51 0.0 4709.993493996635
"41051_0" "112_F4B998C5DA7BFA78685C88D6F1243AAE" 14739.336 0.0 4967.451344052087
"41055_0" "112_F4B998C5DA7BFA78685C88D6F1243AAE" 14739.336 0.0 4967.451344052087
"41848_0" "112_7EDC401ECEEA0C4ECE0D83A43C8A2C71" 53145.203 0.0 24843.53572510008
"41849_0" "112_BC5D2034B46EDF328A097672950FC030" 57419.113 0.0 24850.86759203117
"41850_0" "112_BC5D2034B46EDF328A097672950FC030" 57419.113 0.0 24850.86759203117
"41851_0" "112_BC5D2034B46EDF328A097672950FC030" 57419.113 0.0 24850.86759203117
"41852_0" "112_BC5D2034B46EDF328A097672950FC030" 57419.113 0.0 24850.86759203117
"39899_0" "113_3D702A8312964F3027936B9A230DFF1B" 54216.508 0.0 29400.396532368606
"39900_0" "113_1D8A7ADC0A21C4DB3520AE324720A5B9" 55267.445 0.0 29407.614058731375
"39901_0" "113_1D8A7ADC0A21C4DB3520AE324720A5B9" 55267.445 0.0 29407.614058731375
"39902_0" "113_1D8A7ADC0A21C4DB3520AE324720A5B9" 55267.445 0.0 29407.614058731375
"39903_0" "113_1D8A7ADC0A21C4DB3520AE324720A5B9" 55267.445 0.0 29407.614058731375
"39904_0" "114_93661A49178A734051F734C323BD0FF9" 62009.957 0.0 36223.72844755639
"39905_0" "114_93661A49178A734051F734C323BD0FF9" 62009.957 0.0 36223.72844755639
"39906_0" "114_93661A49178A734051F734C323BD0FF9" 62009.957 0.0 36223.72844755639
"39907_0" "114_93661A49178A734051F734C323BD0FF9" 62009.957 0.0 36223.72844755639
"39908_0" "114_8698488B4D42C80577E7E630A1977218" 57752.53 0.0 36217.0264542756
expired_calendar WARNING 458

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.

Only the first 50 of 458 affected records are displayed below.

csvRowNumber (?) The row of the faulty record. serviceId (?) The service id of the faulty record.
4 "41800_0"
5 "36451_0"
7 "40696_0"
8 "39661_0"
9 "36703_0"
11 "41748_0"
17 "36486_0"
20 "39563_0"
23 "41811_0"
28 "39696_0"
30 "41352_0"
31 "41759_0"
33 "39650_0"
37 "40706_0"
38 "39552_0"
39 "39598_0"
41 "36475_0"
43 "41267_0"
44 "41221_0"
46 "35139_0"
49 "39683_0"
52 "41724_0"
59 "36464_0"
61 "39585_0"
63 "39619_0"
69 "39672_0"
71 "41735_0"
76 "39608_0"
79 "36453_0"
80 "36499_0"
82 "39574_0"
83 "41289_0"
85 "35860_0"
87 "41802_0"
88 "36701_0"
90 "40698_0"
96 "40641_0"
97 "36488_0"
99 "39561_0"
102 "41813_0"
105 "39694_0"
115 "40630_0"
117 "36477_0"
120 "39596_0"
121 "35137_0"
122 "40708_0"
123 "39550_0"
130 "41363_0"
131 "39681_0"
132 "41726_0"
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 800

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 800 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.
"trips.txt" "trip_headsign" "CHAMP DE FOIRE" 2
"trips.txt" "trip_headsign" "CHAMP DE FOIRE" 7
"trips.txt" "trip_headsign" "MAIRIE - BONCOURT" 8
"trips.txt" "trip_headsign" "MAIRIE - BONCOURT" 9
"trips.txt" "trip_headsign" "MAIRIE - BONCOURT" 10
"trips.txt" "trip_headsign" "MAIRIE - BONCOURT" 11
"trips.txt" "trip_headsign" "CHAMP DE FOIRE" 12
"trips.txt" "trip_headsign" "ECOLE - LE MESNIL SIMON" 13
"trips.txt" "trip_headsign" "ECOLE - LE MESNIL SIMON" 14
"trips.txt" "trip_headsign" "ECOLE - LE MESNIL SIMON" 15
"trips.txt" "trip_headsign" "ECOLE - LE MESNIL SIMON" 16
"trips.txt" "trip_headsign" "CHAMP DE FOIRE" 17
"trips.txt" "trip_headsign" "DE CUASNON" 18
"trips.txt" "trip_headsign" "CHAMP DE FOIRE" 19
"trips.txt" "trip_headsign" "ECOLE - GILLES" 20
"trips.txt" "trip_headsign" "ECOLE - GILLES" 21
"trips.txt" "trip_headsign" "ECOLE - GILLES" 22
"trips.txt" "trip_headsign" "ECOLE - GILLES" 23
"trips.txt" "trip_headsign" "IVRY-LA-BATAILLE - EGLISE" 24
"trips.txt" "trip_headsign" "IVRY-LA-BATAILLE - EGLISE" 25
"trips.txt" "trip_headsign" "IVRY-LA-BATAILLE - EGLISE" 26
"trips.txt" "trip_headsign" "CHAMP DE FOIRE" 27
"trips.txt" "trip_headsign" "CHAPM DE FOIRE" 28
"trips.txt" "trip_headsign" "CHAPM DE FOIRE" 29
"trips.txt" "trip_headsign" "GODENENVAL- DAMPIERRE - SUR - AV" 30
"trips.txt" "trip_headsign" "GODENENVAL- DAMPIERRE - SUR - AV" 31
"trips.txt" "trip_headsign" "GODENENVAL- DAMPIERRE - SUR - AV" 32
"trips.txt" "trip_headsign" "GODENENVAL- DAMPIERRE - SUR - AV" 33
"trips.txt" "trip_headsign" "CHAMP DE FOIRE" 34
"trips.txt" "trip_headsign" "CHAMP DE FOIRE" 37
"trips.txt" "trip_headsign" "CENTRE - MONTIGNY-SUR-AVRE" 38
"trips.txt" "trip_headsign" "CENTRE - MONTIGNY-SUR-AVRE" 39
"trips.txt" "trip_headsign" "CENTRE - MONTIGNY-SUR-AVRE" 40
"trips.txt" "trip_headsign" "CENTRE - MONTIGNY-SUR-AVRE" 41
"trips.txt" "trip_headsign" "CHAMP DE FOIRE" 42
"trips.txt" "trip_headsign" "CLOS DU PRESBYTERE" 43
"trips.txt" "trip_headsign" "CLOS DU PRESBYTERE" 44
"trips.txt" "trip_headsign" "CLOS DU PRESBYTERE" 45
"trips.txt" "trip_headsign" "CLOS DU PRESBYTERE" 46
"trips.txt" "trip_headsign" "MAIRIE - LA FERTE VIDAME" 47
"trips.txt" "trip_headsign" "MAIRIE - LA FERTE VIDAME" 48
"trips.txt" "trip_headsign" "MAIRIE - LA FERTE VIDAME" 49
"trips.txt" "trip_headsign" "MAIRIE - LA FERTE VIDAME" 50
"trips.txt" "trip_headsign" "CHAMP DE FOIRE" 51
"trips.txt" "trip_headsign" "CHAMP DE FOIRE" 52
"trips.txt" "trip_headsign" "CHAMP DE FOIRE" 53
"trips.txt" "trip_headsign" "CHAMP DE FOIRE" 58
"trips.txt" "trip_headsign" "CENTRE DE SECOURS" 63
"trips.txt" "trip_headsign" "CENTRE DE SECOURS" 64
"trips.txt" "trip_headsign" "CENTRE DE SECOURS" 65
route_color_contrast WARNING 9

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.
"C" 98 "#D9137D" "#D9137D"
"L01" 100 "#F04C5E" "#F04C5E"
"L02" 101 "#7A59A5" "#7A59A5"
"L03" 102 "#005A78" "#005A78"
"L04" 103 "#95B590" "#95B590"
"L05" 104 "#75CEE2" "#75CEE2"
"L06" 105 "#955B37" "#955B37"
"L07" 106 "#C2CB1D" "#C2CB1D"
"L08" 107 "#FFD402" "#FFD402"
route_long_name_contains_short_name WARNING 28

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`.
"251" 44 "251" "251 - Butte Talbot <> Collège"
"290" 59 "290" "290 - Coutumel <> Camus"
"300" 60 "300" "300 - Vernouillet <> Allainville"
"310" 61 "310" "310 -Massenvile <> Ecole M.Hurel"
"320" 62 "320" "320- Vallée Orange<>H.Boucher"
"321" 63 "321" "321- Vovette <> Ecole J.Lelièvre"
"322" 64 "322" "322- Fontain <> Ecole de Ouerre"
"323" 65 "323" "323- Bouviers <> Marsauceux"
"330" 66 "330" "330- Taugourdeau<>Taugourdeau"
"331" 67 "331" "331-Bécheret<>Taugourdeau"
"341" 68 "341" "341- Groupe Sco<> Groupe Sco"
"342" 69 "342" "342- Chaussée d'IVry<>Chaussée d"
"343" 70 "343" "343-Rouvres<>Rouvres"
"344" 71 "344" "344-Saussay<>Saussay"
"345" 72 "345" "345-Saussay<>Saussay"
"361" 73 "361" "361-Ernest Renan<> Ec La Vall"
"362" 74 "362" "362- Nonacourt<>Nonacourt"
"363" 75 "363" "363- Nonacourt<> Nonacourt"
"364" 76 "364" "364-Poste<>Ecole du Bourg"
"370" 77 "370" "370- Villedieu<>Desforges"
"371" 78 "371" "371- Desforges<>Desforges"
"372" 79 "372" "372-Mainterne<>Ecole"
"373" 80 "373" "373-Desforges<>Desforges"
"374" 81 "374" "374-Desforges<>Desforges"
"375" 82 "375" "375-Desforges<>Desforges"
"376" 83 "376" "376-Mairie<>Ecole Sainte Marie"
"380" 86 "380" "380 Thimert Ecole<>Thimert Ecole"
"5BIS" 94 "5BIS" "5BIS - Croth < > Dreux"
trip_distance_exceeds_shape_distance_below_threshold WARNING 133

trip_distance_exceeds_shape_distance_below_threshold

The distance between the last shape point and last stop point is less than the 11.1m threshold.

You can see more about this notice here.

Only the first 50 of 133 affected records are displayed below.

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.
"39716_0" "300_7FDBCF16AA53A2A5E54E375A0EDC5CB8" 19721.309 0.0 0.11119510161714974
"39717_0" "300_1A436D37C1C157AB587511FBBE248AD3" 19801.172 0.0 0.11119510161714974
"39719_0" "310_588962A82234B2120C3E92B768CB2E78" 20802.602 0.0 0.0
"41531_0" "320_C2F7356536CF41EE3B7AED90782C03F4" 9196.669 0.0 0.11119510161714974
"41532_0" "320_02E367F5E50670550FD239F5A0D70D0A" 9277.803 0.0 0.11119510161714974
"41533_0" "321_EBF0865EBFABF3BA2CA2DB8DD685A7AB" 43526.21 0.0 0.11119510090982554
"41534_0" "321_D4B844E01B484AEB5C8B7C31F0DB4E6B" 54129.56 0.0 0.0
"39807_0" "323_577734F0682AD43EFCA555164E23144E" 12931.7295 0.0 0.22239020181965108
"39808_0" "323_90E3CEC0333CC421E36E44C79E679582" 26488.816 0.0 0.22239020181965108
"39725_0" "330_10D34BD98E9783F40B80E945EA4DFA89" 13998.98 0.0 0.11119510090982554
"41869_0" "330_EDDB55C52780CD855564F012A32CF968" 21330.387 0.0 0.22239020252697528
"41536_0" "331_745E669095A81F9E741658AD12CB6362" 25599.908 0.0 0.11119510090982554
"41870_0" "331_CBCFE995B110D9504F909E3CF8C552E3" 21141.682 0.0 0.11119510161714974
"35274_0" "341_270A29B07DF56DDBE2CC0B0F88F0378C" 36638.9 0.0 0.11119510090982554
"39729_0" "342_28B5A1A09001D12C504708C479D80632" 18515.707 0.0 0.11119510161714974
"35284_0" "343_577BE010DA3CDAA9E52A4606470851BB" 18726.33 0.0 0.22239020252697528
"35285_0" "343_F095265D2CF9E1E2D39CD7FD2920AEE1" 18735.44 0.0 0.22239020252697528
"40365_0" "344_5EE3255A0C7DD8A7F38D5D9AA239EB13" 20696.86 0.0 0.11119510090982554
"40366_0" "344_5659C273DED3A2C17166D9DE8CCB9340" 22838.479 0.0 0.11119510090982554
"39735_0" "345_E124FB14DEFD1DEC10083B76433E486E" 16647.742 0.0 0.11119510090982554
"39736_0" "345_B5421931ADCC3BDEB9CF9EBFA07D4114" 15826.422 0.0 0.11119510090982554
"35304_0" "362_5B1302547AEC1A50A2EBB6AEE5CE21CD" 18159.277 0.0 0.0
"35305_0" "362_E760A4A3443EB15182E09A447FAB7F89" 19165.49 0.0 0.0
"39737_0" "363_49AC541CAB8DC9E89D6CE5A0F098A464" 10810.788 0.0 0.0
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