gtfs-rpt-cadavl-com-rochester-public-transit-1 — Source Data Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 8.0.1 at 2026-07-10T18:41:10Z,
for the dataset file:///shared/gtfs-rpt-cadavl-com-rochester-public-transit-1_e1c4d49f.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. transfers.txt
  9. trips.txt

Counts


  • Agencies: 1
  • Blocks: 61
  • Routes: 28
  • Shapes: 44
  • Stops: 1501
  • Trips: 727

Specification Compliance report

1436 notices reported (0 errors, 1435 warnings, 1 infos)

Notice Code Severity Total
equal_shape_distance_diff_coordinates_distance_below_threshold WARNING 10

equal_shape_distance_diff_coordinates_distance_below_threshold

Two consecutive points have equal shape_dist_traveled and different lat/lon coordinates in shapes.txt and the distance between the two points is greater than 0 but less than 1.11m.

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 small difference of coordinates (greater than 0 but less than 1.11 m distance) result in a warning.

You can see more about this notice here.

shapeId (?) The id of the faulty shape. csvRowNumber (?) The row number from `shapes.txt`. shapeDistTraveled (?) The faulty record's `shape_dist_traveled` value. shapePtSequence (?) The faulty record's `shapes.shape_pt_sequence`. prevCsvRowNumber (?) The row number from `shapes.txt` of the previous shape point. prevShapeDistTraveled (?) The previous shape point's `shape_dist_traveled` value. prevShapePtSequence (?) The previous record's `shapes.shape_pt_sequence`. actualDistanceBetweenShapePoints (?) Actual distance traveled along the shape from the first shape point to the previous shape point.
"411_4099_4363" 15914 22043.0 901 15913 22043.0 900 0.08895608115225495
"102_0:4364_0:4361" 10777 0.0 1 10776 0.0 0 0.3757727492546136
"203_4364_2031" 15916 0.0 1 15915 0.0 0 0.3597824188714874
"413_4342_4363" 27602 10027.0 476 27601 10027.0 475 0.08895608115225495
"413_4342_4363_1" 12972 10027.0 476 12971 10027.0 475 0.08895608115225495
"205_4364_4361" 21503 0.0 1 21502 0.0 0 0.3597824188714874
"419_4365_4363" 1199 30461.0 1197 1198 30461.0 1196 0.08895608115225495
"307_3171_4363" 2338 10496.0 556 2337 10496.0 555 0.08895608115225495
"306_4364_1153" 19392 0.0 1 19391 0.0 0 0.3597824188714874
"410_4384_4363" 3194 15913.0 855 3193 15913.0 854 0.08895608115225495
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 1395

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 1395 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.
"stops.txt" "stop_name" "GRV DR & GRV PL" 16
"stops.txt" "stop_name" "6 ST SW AND 15 AVE SW" 17
"stops.txt" "stop_name" "6 ST SW AND 8 AVE SW" 18
"stops.txt" "stop_name" "17 AVE & 16 ST" 20
"stops.txt" "stop_name" "COMMERCE @ ALDI" 25
"stops.txt" "stop_name" "CENTRAL PARK STAND 1" 40
"stops.txt" "stop_name" "W CENTER ST AT NICHOLAS APTS" 41
"stops.txt" "stop_name" "W CENTER ST NEAR ST MARYS" 42
"stops.txt" "stop_name" "1 ST NW AND 16 AVE NW" 43
"stops.txt" "stop_name" "16 AVE NW AND EAST OF 4 ST NW" 44
"stops.txt" "stop_name" "6 ST NW AND 11 AVE NW" 45
"stops.txt" "stop_name" "11 AVE NW AND NORTH OF 7 ST NW" 46
"stops.txt" "stop_name" "11 AVE NW AND 12 ST NW" 47
"stops.txt" "stop_name" "14 ST NW AND 13 AVE NW" 48
"stops.txt" "stop_name" "15 1/2 AVE NW AND 14 ST NW" 49
"stops.txt" "stop_name" "14 ST NW AND 17 AVE NW" 50
"stops.txt" "stop_name" "17 AVE AT BERKSHIRE VIL APTS" 51
"stops.txt" "stop_name" "VLYHIGH DR NW AND 7 ST NW" 52
"stops.txt" "stop_name" "VLYHIGH DR NW AND 14 ST NW" 53
"stops.txt" "stop_name" "VLYHIGH DR NW AND 19 AVE NW" 54
"stops.txt" "stop_name" "VLYHIGH DR NW AND 21 AVE NW" 55
"stops.txt" "stop_name" "21 AVE NW AND 17 1/2 ST NW" 56
"stops.txt" "stop_name" "21 AVE NW AND 18 1/2 ST NW" 57
"stops.txt" "stop_name" "30 AVE NW AND VLYHIGH DR NW" 58
"stops.txt" "stop_name" "29 AVE NW AND 25 ST NW" 59
"stops.txt" "stop_name" "24 ST NW AND 28 1/2 AVE NW" 60
"stops.txt" "stop_name" "24 ST NW AND 25 AVE NW" 61
"stops.txt" "stop_name" "24 AVE NW AND 25 ST NW" 62
"stops.txt" "stop_name" "26 ST NW AND 23 AVE NW" 63
"stops.txt" "stop_name" "18 1/2 AVE NW AND 26 ST NW" 64
"stops.txt" "stop_name" "18 1/2 AVE NW AND 24 ST NW" 65
"stops.txt" "stop_name" "18 1/2 AVE NW AND 22 ST NW" 66
"stops.txt" "stop_name" "18 1/2 AVE NW AND 20 ST NW" 67
"stops.txt" "stop_name" "18 AVE NW AND CASCADE ST NW" 68
"stops.txt" "stop_name" "18 AVE NW AND 28 ST NW" 69
"stops.txt" "stop_name" "18 AVE NW AND 31 ST NW" 70
"stops.txt" "stop_name" "18 AVE NW AND 33 ST NW" 71
"stops.txt" "stop_name" "18 AVE NW AND 36 ST NW" 72
"stops.txt" "stop_name" "18 AVE NW AND N OF 37 ST NW" 73
"stops.txt" "stop_name" "18 AVE NW AND 40 ST NW" 74
"stops.txt" "stop_name" "41 ST NW AND 18 AVE NW" 75
"stops.txt" "stop_name" "41 ST NW AND 19 AVE NW" 76
"stops.txt" "stop_name" "41 ST NW AT MAPLEWDS SQ MALL" 77
"stops.txt" "stop_name" "31 AVE NW AND OXFORD LN NW" 78
"stops.txt" "stop_name" "31 AVE NW AND ARBOR DR NW" 79
"stops.txt" "stop_name" "W FR RD AND NORTH OF 48 ST NW" 80
"stops.txt" "stop_name" "W FR RD AND 51 ST NW" 81
"stops.txt" "stop_name" "W FR RD AT WALMART NORTH" 82
"stops.txt" "stop_name" "W FR RD AT WALMART NORTH" 83
"stops.txt" "stop_name" "48 ST NW AND WEST OF W FR RD" 84
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`.
"206" 2 "206" "206"
"101" 3 "101" "101"
"412" 4 "412" "412"
"409" 5 "409" "409"
"505" 6 "505" "505"
"418" 7 "418" "418"
"314" 8 "314" "314"
"21" 9 "21" "21"
"102" 10 "102" "102"
"25" 11 "25" "25"
"413" 12 "413" "413"
"408" 13 "408" "408"
"550" 14 "550" "550"
"150" 15 "150" "150"
"120" 16 "120" "120"
"410" 17 "410" "410"
"22" 18 "22" "22"
"306" 19 "306" "306"
"26" 20 "26" "26"
"411" 21 "411" "411"
"203" 22 "203" "203"
"23" 23 "23" "23"
"307" 24 "307" "307"
"205" 25 "205" "205"
"419" 26 "419" "419"
"116" 27 "116" "116"
"24" 28 "24" "24"
"204" 29 "204" "204"
stop_without_stop_time WARNING 1

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.
632 "0:4357" "PWTOC DEPOT"
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.
"stops.txt" "vehicle_type" 10