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patco-speedline — Source Data Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-04-23T22:39:38Z,
for the dataset file:///shared/patco-speedline_8f00ad9a.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_dates.txt
  3. routes.txt
  4. shapes.txt
  5. stop_times.txt
  6. stops.txt
  7. trips.txt

Counts

  • Agencies: 2
  • Blocks: 1341
  • Routes: 16
  • Shapes: 1430
  • Stops: 228
  • Trips: 3509

Specification Compliance report

3590 notices reported (841 errors, 2749 warnings, 0 infos)

Notice Code Severity Total
block_trips_with_overlapping_stop_times ERROR 738

block_trips_with_overlapping_stop_times

Trips with the same block id have overlapping stop times.

You can see more about this notice here.

Only the first 50 of 738 affected records are displayed below.

csvRowNumberA (?) The row number from `trips.txt` of the first faulty trip. tripIdA (?) The id of first faulty trip. serviceIdA (?) The service id of the first faulty trip. csvRowNumberB (?) The row number from `trips.txt` of the second faulty trip. tripIdB (?) The id of the other faulty trip. serviceIdB (?) The service id of the other faulty trip. blockId (?) The `trips.block_id` of the overlapping trip. intersection (?) The overlapping period.
191 "190" "12" 332 "331" "12" "342JC019" "20260425"
332 "331" "12" 194 "193" "12" "342JC019" "20260425"
332 "331" "12" 238 "237" "12" "342JC019" "20260425"
332 "331" "12" 192 "191" "12" "342JC019" "20260425"
332 "331" "12" 333 "332" "12" "342JC019" "20260425"
194 "193" "12" 238 "237" "12" "342JC019" "20260425"
194 "193" "12" 192 "191" "12" "342JC019" "20260425"
194 "193" "12" 333 "332" "12" "342JC019" "20260425"
194 "193" "12" 195 "194" "12" "342JC019" "20260425"
194 "193" "12" 193 "192" "12" "342JC019" "20260425"
194 "193" "12" 239 "238" "12" "342JC019" "20260425"
238 "237" "12" 192 "191" "12" "342JC019" "20260425"
238 "237" "12" 333 "332" "12" "342JC019" "20260425"
238 "237" "12" 195 "194" "12" "342JC019" "20260425"
238 "237" "12" 193 "192" "12" "342JC019" "20260425"
238 "237" "12" 239 "238" "12" "342JC019" "20260425"
192 "191" "12" 333 "332" "12" "342JC019" "20260425"
192 "191" "12" 195 "194" "12" "342JC019" "20260425"
333 "332" "12" 195 "194" "12" "342JC019" "20260425"
333 "332" "12" 193 "192" "12" "342JC019" "20260425"
333 "332" "12" 239 "238" "12" "342JC019" "20260425"
333 "332" "12" 334 "333" "12" "342JC019" "20260425"
195 "194" "12" 193 "192" "12" "342JC019" "20260425"
195 "194" "12" 239 "238" "12" "342JC019" "20260425"
195 "194" "12" 334 "333" "12" "342JC019" "20260425"
195 "194" "12" 196 "195" "12" "342JC019" "20260425"
195 "194" "12" 240 "239" "12" "342JC019" "20260425"
193 "192" "12" 239 "238" "12" "342JC019" "20260425"
193 "192" "12" 334 "333" "12" "342JC019" "20260425"
193 "192" "12" 196 "195" "12" "342JC019" "20260425"
239 "238" "12" 334 "333" "12" "342JC019" "20260425"
239 "238" "12" 196 "195" "12" "342JC019" "20260425"
239 "238" "12" 240 "239" "12" "342JC019" "20260425"
334 "333" "12" 196 "195" "12" "342JC019" "20260425"
334 "333" "12" 240 "239" "12" "342JC019" "20260425"
334 "333" "12" 335 "334" "12" "342JC019" "20260425"
196 "195" "12" 240 "239" "12" "342JC019" "20260425"
196 "195" "12" 335 "334" "12" "342JC019" "20260425"
196 "195" "12" 197 "196" "12" "342JC019" "20260425"
196 "195" "12" 241 "240" "12" "342JC019" "20260425"
240 "239" "12" 335 "334" "12" "342JC019" "20260425"
240 "239" "12" 197 "196" "12" "342JC019" "20260425"
240 "239" "12" 241 "240" "12" "342JC019" "20260425"
335 "334" "12" 197 "196" "12" "342JC019" "20260425"
335 "334" "12" 241 "240" "12" "342JC019" "20260425"
335 "334" "12" 336 "335" "12" "342JC019" "20260425"
197 "196" "12" 241 "240" "12" "342JC019" "20260425"
197 "196" "12" 336 "335" "12" "342JC019" "20260425"
197 "196" "12" 198 "197" "12" "342JC019" "20260425"
197 "196" "12" 242 "241" "12" "342JC019" "20260425"
decreasing_or_equal_stop_time_distance ERROR 103

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 103 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`.
"2331" "26326" 32581 1.2583 5 32580 1.2583 4
"2330" "26326" 32565 1.2583 5 32564 1.2583 4
"2328" "26326" 32533 1.2583 5 32532 1.2583 4
"2329" "26326" 32549 1.2583 5 32548 1.2583 4
"2342" "26326" 32757 1.2583 5 32756 1.2583 4
"2341" "26326" 32741 1.2583 5 32740 1.2583 4
"2340" "26326" 32725 1.2583 5 32724 1.2583 4
"2339" "26326" 32709 1.2583 5 32708 1.2583 4
"2338" "26326" 32693 1.2583 5 32692 1.2583 4
"2337" "26326" 32677 1.2583 5 32676 1.2583 4
"2336" "26326" 32661 1.2583 5 32660 1.2583 4
"2335" "26326" 32645 1.2583 5 32644 1.2583 4
"2334" "26326" 32629 1.2583 5 32628 1.2583 4
"2333" "26326" 32613 1.2583 5 32612 1.2583 4
"2332" "26326" 32597 1.2583 5 32596 1.2583 4
"2353" "26326" 32933 1.2583 5 32932 1.2583 4
"2352" "26326" 32917 1.2583 5 32916 1.2583 4
"2351" "26326" 32901 1.2583 5 32900 1.2583 4
"2350" "26326" 32885 1.2583 5 32884 1.2583 4
"2349" "26326" 32869 1.2583 5 32868 1.2583 4
"2348" "26326" 32853 1.2583 5 32852 1.2583 4
"2347" "26326" 32837 1.2583 5 32836 1.2583 4
"2346" "26326" 32821 1.2583 5 32820 1.2583 4
"2345" "26326" 32805 1.2583 5 32804 1.2583 4
"2344" "26326" 32789 1.2583 5 32788 1.2583 4
"2343" "26326" 32773 1.2583 5 32772 1.2583 4
"2364" "26326" 33109 1.2583 5 33108 1.2583 4
"2363" "26326" 33093 1.2583 5 33092 1.2583 4
"2362" "26326" 33077 1.2583 5 33076 1.2583 4
"2361" "26326" 33061 1.2583 5 33060 1.2583 4
"2360" "26326" 33045 1.2583 5 33044 1.2583 4
"2359" "26326" 33029 1.2583 5 33028 1.2583 4
"2358" "26326" 33013 1.2583 5 33012 1.2583 4
"2357" "26326" 32997 1.2583 5 32996 1.2583 4
"2356" "26326" 32981 1.2583 5 32980 1.2583 4
"2355" "26326" 32965 1.2583 5 32964 1.2583 4
"2354" "26326" 32949 1.2583 5 32948 1.2583 4
"2375" "26326" 33285 1.2583 5 33284 1.2583 4
"2374" "26326" 33269 1.2583 5 33268 1.2583 4
"2373" "26326" 33253 1.2583 5 33252 1.2583 4
"2372" "26326" 33237 1.2583 5 33236 1.2583 4
"2371" "26326" 33221 1.2583 5 33220 1.2583 4
"2370" "26326" 33205 1.2583 5 33204 1.2583 4
"2369" "26326" 33189 1.2583 5 33188 1.2583 4
"2368" "26326" 33173 1.2583 5 33172 1.2583 4
"2367" "26326" 33157 1.2583 5 33156 1.2583 4
"2366" "26326" 33141 1.2583 5 33140 1.2583 4
"2365" "26326" 33125 1.2583 5 33124 1.2583 4
"2382" "26326" 33397 1.2583 5 33396 1.2583 4
"2381" "26326" 33381 1.2583 5 33380 1.2583 4
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 2745

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 2745 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.
"agency.txt" "agency_name" "NJ TRANSIT BUS" 2
"agency.txt" "agency_name" "NJ TRANSIT RAIL" 3
"stops.txt" "stop_name" "30TH ST. PHL." 2
"stops.txt" "stop_name" "ANDERSON STREET" 6
"stops.txt" "stop_name" "ASBURY PARK" 8
"stops.txt" "stop_name" "ATLANTIC CITY" 10
"stops.txt" "stop_name" "BASKING RIDGE" 12
"stops.txt" "stop_name" "BAY HEAD" 13
"stops.txt" "stop_name" "BAY STREET" 14
"stops.txt" "stop_name" "BERKELEY HEIGHTS" 16
"stops.txt" "stop_name" "BOUND BROOK" 20
"stops.txt" "stop_name" "BRADLEY BEACH" 21
"stops.txt" "stop_name" "BRICK CHURCH" 22
"stops.txt" "stop_name" "CAMPBELL HALL" 25
"stops.txt" "stop_name" "CHERRY HILL" 27
"stops.txt" "stop_name" "ROSELLE PARK" 30
"stops.txt" "stop_name" "EAST ORANGE" 36
"stops.txt" "stop_name" "EDISON STATION" 37
"stops.txt" "stop_name" "EGG HARBOR" 38
"stops.txt" "stop_name" "ESSEX STREET" 42
"stops.txt" "stop_name" "FAR HILLS" 44
"stops.txt" "stop_name" "GLEN RIDGE" 49
"stops.txt" "stop_name" "GLEN ROCK BORO HALL" 50
"stops.txt" "stop_name" "GLEN ROCK MAIN LINE" 51
"stops.txt" "stop_name" "HIGH BRIDGE" 57
"stops.txt" "stop_name" "HIGHLAND AVENUE" 58
"stops.txt" "stop_name" "LAKE HOPATCONG" 62
"stops.txt" "stop_name" "LINCOLN PARK" 64
"stops.txt" "stop_name" "LITTLE FALLS" 67
"stops.txt" "stop_name" "LITTLE SILVER" 68
"stops.txt" "stop_name" "LONG BRANCH" 69
"stops.txt" "stop_name" "MIDDLETOWN NJ" 78
"stops.txt" "stop_name" "MIDDLETOWN NY" 79
"stops.txt" "stop_name" "MONTCLAIR HEIGHTS" 82
"stops.txt" "stop_name" "MORRIS PLAINS" 84
"stops.txt" "stop_name" "MOUNT OLIVE" 86
"stops.txt" "stop_name" "MOUNT TABOR" 87
"stops.txt" "stop_name" "MOUNTAIN AVENUE" 88
"stops.txt" "stop_name" "MOUNTAIN LAKES" 89
"stops.txt" "stop_name" "MOUNTAIN STATION" 90
"stops.txt" "stop_name" "MOUNTAIN VIEW" 91
"stops.txt" "stop_name" "MURRAY HILL" 92
"stops.txt" "stop_name" "NEW BRUNSWICK" 96
"stops.txt" "stop_name" "NEW PROVIDENCE" 97
"stops.txt" "stop_name" "NEW YORK PENN STATION" 98
"stops.txt" "stop_name" "NEWARK BROAD ST" 99
"stops.txt" "stop_name" "NEWARK PENN STATION" 100
"stops.txt" "stop_name" "NORTH BRANCH" 101
"stops.txt" "stop_name" "NORTH ELIZABETH" 102
"stops.txt" "stop_name" "NEW BRIDGE LANDING" 103
stop_too_far_from_shape_using_user_distance WARNING 3

stop_too_far_from_shape_using_user_distance

Stop time too far from shape.

A stop time entry that is a large distance away from the location of the shape in shapes.txt as defined by shape_dist_traveled values.

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.
3212 "1324" "3211" 41240 "32" "CRANFORD" [40.65844400000001,-74.281902] 1827.8799540462478
3211 "1323" "3210" 41227 "32" "CRANFORD" [40.65844400000001,-74.281902] 1827.8799540462478
3210 "1322" "3209" 41214 "32" "CRANFORD" [40.65844400000001,-74.281902] 1827.8799540462478