GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2025-12-12T18:17:57Z,
for the dataset file:///shared/allegany.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included

Feed Info

Publisher Name:
MTI UMD
Publisher URL:
https://mti.umd.edu/
Feed Email:
N/A
Feed Language:
English
Feed Start Date:
2019-08-06
Feed End Date:
2022-05-27

Files included

  1. agency.txt
  2. calendar.txt
  3. calendar_dates.txt
  4. feed_info.txt
  5. routes.txt
  6. shapes.txt
  7. stop_times.txt
  8. stops.txt
  9. trips.txt

Counts

  • Agencies: 0
  • Blocks: 18
  • Routes: 10
  • Shapes: 47
  • Stops: 198
  • Trips: 128

Specification Compliance report

3520 notices reported (3390 errors, 129 warnings, 1 infos)

Notice Code Severity Total
stop_time_timepoint_without_times ERROR 3390

stop_time_timepoint_without_times

arrival_time or departure_time not specified for timepoint.

Any records with stop_times.timepoint set to 1 must define a value for stop_times.arrival_time and stop_times.departure_time fields.

You can see more about this notice here.

Only the first 50 of 3390 affected records are displayed below.

csvRowNumber (?) The row number of the faulty record. tripId (?) The faulty record's id. stopSequence (?) The faulty record's `stops.stop_sequence`. specifiedField (?) Either `departure_time` or `arrival_time`.
3 "3004589" 1 "arrival_time"
3 "3004589" 1 "departure_time"
4 "3004589" 2 "arrival_time"
4 "3004589" 2 "departure_time"
5 "3004589" 3 "arrival_time"
5 "3004589" 3 "departure_time"
6 "3004589" 4 "arrival_time"
6 "3004589" 4 "departure_time"
7 "3004589" 5 "arrival_time"
7 "3004589" 5 "departure_time"
8 "3004589" 6 "arrival_time"
8 "3004589" 6 "departure_time"
10 "3004589" 8 "arrival_time"
10 "3004589" 8 "departure_time"
12 "3004589" 10 "arrival_time"
12 "3004589" 10 "departure_time"
13 "3004589" 11 "arrival_time"
13 "3004589" 11 "departure_time"
16 "3004590" 1 "arrival_time"
16 "3004590" 1 "departure_time"
17 "3004590" 2 "arrival_time"
17 "3004590" 2 "departure_time"
18 "3004590" 3 "arrival_time"
18 "3004590" 3 "departure_time"
19 "3004590" 4 "arrival_time"
19 "3004590" 4 "departure_time"
20 "3004590" 5 "arrival_time"
20 "3004590" 5 "departure_time"
21 "3004590" 6 "arrival_time"
21 "3004590" 6 "departure_time"
23 "3004590" 8 "arrival_time"
23 "3004590" 8 "departure_time"
24 "3004590" 9 "arrival_time"
24 "3004590" 9 "departure_time"
25 "3004590" 10 "arrival_time"
25 "3004590" 10 "departure_time"
29 "3004590" 14 "arrival_time"
29 "3004590" 14 "departure_time"
30 "3004590" 15 "arrival_time"
30 "3004590" 15 "departure_time"
31 "3004590" 16 "arrival_time"
31 "3004590" 16 "departure_time"
33 "3004590" 18 "arrival_time"
33 "3004590" 18 "departure_time"
34 "3004590" 19 "arrival_time"
34 "3004590" 19 "departure_time"
35 "3004590" 20 "arrival_time"
35 "3004590" 20 "departure_time"
36 "3004590" 21 "arrival_time"
36 "3004590" 21 "departure_time"
expired_calendar WARNING 7

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.
2 "mtwtf"
3 "67670"
4 "fsu"
5 "nonfsu"
6 "nonfsuwinter"
7 "tuesfri"
8 "fsusat"
feed_expiration_date7_days WARNING 1

feed_expiration_date7_days

Dataset should be valid for at least the next 7 days.

The dataset expiration date defined in feed_info.txt is in seven days or less. At any time, the published GTFS dataset should be valid for at least the next 7 days.

You can see more about this notice here.

csvRowNumber (?) The row number of the faulty record. currentDate (?) Current date (YYYYMMDD format). feedEndDate (?) Feed end date (YYYYMMDD format). suggestedExpirationDate (?) Suggested expiration date (YYYYMMDD format).
2 "20251212" "20220527" "20251219"
missing_feed_contact_email_and_url WARNING 1

missing_feed_contact_email_and_url

Best Practices for feed_info.txt suggest providing at least one of feed_contact_email and feed_contact_url.

You can see more about this notice here.

csvRowNumber (?) The row number of the validated record.
2
missing_recommended_field WARNING 11

missing_recommended_field

A recommended field is missing.

The given field has no value in some input row, even though values are recommended.

You can see more about this notice here.

filename (?) The name of the faulty file. csvRowNumber (?) The row of the faulty record. fieldName (?) The name of the missing field.
"agency.txt" 2 "agency_id"
"routes.txt" 2 "agency_id"
"routes.txt" 3 "agency_id"
"routes.txt" 4 "agency_id"
"routes.txt" 5 "agency_id"
"routes.txt" 6 "agency_id"
"routes.txt" 7 "agency_id"
"routes.txt" 8 "agency_id"
"routes.txt" 9 "agency_id"
"routes.txt" 10 "agency_id"
"routes.txt" 11 "agency_id"
mixed_case_recommended_field WARNING 76

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 76 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_short_name" "yellow" 2
"trips.txt" "trip_short_name" "yellow" 3
"trips.txt" "trip_short_name" "yellow" 4
"trips.txt" "trip_short_name" "yellow" 5
"trips.txt" "trip_short_name" "yellow" 6
"trips.txt" "trip_short_name" "yellow" 7
"trips.txt" "trip_short_name" "yellow" 8
"trips.txt" "trip_short_name" "gold-1" 33
"trips.txt" "trip_short_name" "gold-1" 34
"trips.txt" "trip_short_name" "gold-2" 35
"trips.txt" "trip_short_name" "gold-1" 36
"trips.txt" "trip_short_name" "gold-1" 37
"trips.txt" "trip_short_name" "gold-1" 38
"trips.txt" "trip_short_name" "gold-2" 39
"trips.txt" "trip_short_name" "gold-1" 40
"trips.txt" "trip_short_name" "gold-1" 41
"trips.txt" "trip_short_name" "gold-1" 42
"trips.txt" "trip_short_name" "gold-1" 43
"trips.txt" "trip_short_name" "gold-1" 44
"trips.txt" "trip_short_name" "gold-1" 45
"trips.txt" "trip_short_name" "gold-2" 46
"trips.txt" "trip_short_name" "gold-2" 47
"trips.txt" "trip_short_name" "gold-2" 48
"trips.txt" "trip_short_name" "purple-1" 49
"trips.txt" "trip_short_name" "purple-2" 50
"trips.txt" "trip_short_name" "purple-1" 51
"trips.txt" "trip_short_name" "purple-1" 52
"trips.txt" "trip_short_name" "purple-1" 53
"trips.txt" "trip_short_name" "purple-2" 54
"trips.txt" "trip_short_name" "blue-1" 55
"trips.txt" "trip_short_name" "blue-1" 56
"trips.txt" "trip_short_name" "blue-2" 57
"trips.txt" "trip_short_name" "blue-2" 58
"trips.txt" "trip_short_name" "blue-1" 59
"trips.txt" "trip_short_name" "blue-1" 60
"trips.txt" "trip_short_name" "blue-2" 61
"trips.txt" "trip_short_name" "blue-2" 62
"trips.txt" "trip_short_name" "blue-1" 63
"trips.txt" "trip_short_name" "blue-1" 64
"trips.txt" "trip_short_name" "blue-2" 65
"trips.txt" "trip_short_name" "blue-1" 66
"trips.txt" "trip_short_name" "blue-1" 67
"trips.txt" "trip_short_name" "blue-2" 68
"trips.txt" "trip_short_name" "blue-2" 69
"trips.txt" "trip_short_name" "red-1" 84
"trips.txt" "trip_short_name" "red-1" 85
"trips.txt" "trip_short_name" "red-2" 86
"trips.txt" "trip_short_name" "red-1" 87
"trips.txt" "trip_short_name" "red-1" 88
"trips.txt" "trip_short_name" "red-1" 89
stop_too_far_from_shape WARNING 7

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.
34 "Gold_NoAN2 164716" "3003699" 399 "1" "Rose's" [39.65301,-78.76034] 142.1135722663983
39 "Gold_nofsu 164719" "3003707" 441 "1" "Rose's" [39.65301,-78.76034] 142.1135722663983
40 "Gold Morning 164720" "3003695" 458 "1" "Rose's" [39.65301,-78.76033] 142.55894802093573
49 "purple-out 164727" "3003711" 608 "1" "Rose's" [39.65302,-78.76035] 140.71904353683507
33 "Gold_NoAN 164715" "3003697" 382 "1" "Rose's" [39.65302,-78.76032] 142.06409776784872
35 "Gold_1030 164717" "3003709" 408 "1" "Rose's" [39.65305,-78.76037] 136.97864756340243
8 "yellow7 164713" "3004595" 144 "1" "Rose's" [39.65303,-78.76036] 139.32469185385514
stops_match_shape_out_of_order WARNING 25

stops_match_shape_out_of_order

Two stop entries are different than their arrival-departure order defined by shapes.txt.

This could indicate a problem with the location of the stops, the path of the shape, or the sequence of the stops for their trip.

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. stopTimeCsvRowNumber1 (?) The row number of the first faulty record from `stop_times.txt`. stopId1 (?) The id of the first stop that is referred to. stopName1 (?) The name of the first stop that is referred to. match1 (?) Latitude and longitude pair of the first matching location. stopTimeCsvRowNumber2 (?) The row number of the second faulty record from `stop_times.txt`. stopId2 (?) The id of the second stop that is referred to. stopName2 (?) The name of the second stop that is referred to. match2 (?) Latitude and longitude pair of the second matching location.
84 "Red 1 164737" "3002769" 1435 "2" "Cumberland Post Office" [39.65027426450132,-78.75694019952245] 1434 "1" "Rose's" [39.654047187530104,-78.7611684375671]
99 "Green 1 164740" "3003683" 1799 "32" "Centre St & Baltimore St" [39.65152484962765,-78.76112515191095] 1798 "1" "Rose's" [39.654047187525975,-78.76116843749791]
125 "100133 164749" "3004598" 2497 "32" "Centre St & Baltimore St" [39.65152484957378,-78.76112515211959] 2496 "1" "Rose's" [39.654047187530104,-78.7611684375671]
107 "95623 164743" "3003694" 2101 "32" "Centre St & Baltimore St" [39.65152333614937,-78.76113194608351] 2100 "1" "Rose's" [39.654047086356556,-78.76116443640896]
3 "yellow2 164708" "3004590" 17 "93" "Banneker Gardens" [39.65703060851973,-78.75940565760075] 16 "32" "Centre St & Baltimore St" [39.65152484962765,-78.76112515191095]
108 "95624 164744" "3003688" 2164 "32" "Centre St & Baltimore St" [39.65152333614937,-78.76113194608351] 2163 "1" "Rose's" [39.654047086492845,-78.76116551218978]
4 "yellow3 164709" "3004591" 39 "89" "Queen City Towers" [39.64932109339526,-78.77044450970293] 38 "1" "Rose's" [39.654047187525975,-78.76116843749791]
104 "95621 164741" "3003692" 1914 "32" "Centre St & Baltimore St" [39.65152333614937,-78.76113194608351] 1913 "1" "Rose's" [39.654047086356556,-78.76116443640896]
106 "95622 164742" "3003691" 2038 "32" "Centre St & Baltimore St" [39.65152333614937,-78.76113194608351] 2037 "1" "Rose's" [39.654047187530104,-78.7611684375671]
123 "Silver1 164747" "3004597" 2474 "29" "Adams Family Funeral Home" [39.65591494715217,-78.75991267971538] 2473 "32" "Centre St & Baltimore St" [39.65152484962765,-78.76112515191095]
87 "95620 164738" "3002772" 1513 "2" "Cumberland Post Office" [39.65027482384578,-78.75694188241465] 1512 "1" "Rose's" [39.65404715383101,-78.76116211545849]
6 "yellow5 164711" "3004593" 67 "2" "Cumberland Post Office" [39.65027426450132,-78.75694019952245] 66 "1" "Rose's" [39.654047187530104,-78.7611684375671]
127 "100135 164751" "3004600" 2584 "89" "Queen City Towers" [39.64932109339526,-78.77044450970293] 2583 "1" "Rose's" [39.654047187530104,-78.7611684375671]
5 "yellow4 164710" "3004592" 47 "29" "Adams Family Funeral Home" [39.65591240973112,-78.75991642970999] 46 "32" "Centre St & Baltimore St" [39.65152528446708,-78.76112352289631]
126 "100134 164750" "3004599" 2563 "32" "Centre St & Baltimore St" [39.65152484962765,-78.76112515191095] 2562 "1" "Rose's" [39.654047187530104,-78.7611684375671]
129 "100137 164753" "3004602" 2631 "25" "Baltimore Ave & Marion St" [39.65745806356901,-78.75162163476786] 2630 "1" "Rose's" [39.65404715383101,-78.76116211545849]
94 "98186 164739" "3002763" 1674 "2" "Cumberland Post Office" [39.65027426450132,-78.75694019952245] 1673 "1" "Rose's" [39.654047187530104,-78.7611684375671]
52 "purple-loop-b 164729" "3004152" 701 "32" "Centre St & Baltimore St" [39.65152484962765,-78.76112515191095] 700 "1" "Rose's" [39.654047187530104,-78.7611684375671]
51 "purple-loop-a 164728" "3004151" 641 "32" "Centre St & Baltimore St" [39.65152484962765,-78.76112515191095] 640 "1" "Rose's" [39.654047086356556,-78.76116443640896]
63 "98468 164733" "3003680" 972 "32" "Centre St & Baltimore St" [39.651524669730534,-78.76112585908278] 971 "1" "Rose's" [39.654203318904145,-78.76152449923154]
7 "yellow6 164712" "3004594" 96 "61" "Country Club Mall Theaters" [39.627222184653434,-78.83373109231331] 95 "1" "Rose's" [39.654047187530104,-78.7611684375671]
59 "98467 164732" "3003668" 848 "2" "Cumberland Post Office" [39.65027352036764,-78.75694070407306] 847 "1" "Rose's" [39.65404715383101,-78.76116211545849]
109 "FSU_Evening 164745" "3004627" 2232 "165" "College Ave & Maple St" [39.6533591530252,-78.93006346743599] 2231 "166" "Lowndes Lot" [39.65288,-78.93119]
55 "95599 164731" "3003676" 776 "32" "Centre St & Baltimore St" [39.651524669730534,-78.76112585908278] 775 "1" "Rose's" [39.654203318904145,-78.76152449923154]
66 "99079 164734" "3003672" 1020 "2" "Cumberland Post Office" [39.65027352036764,-78.75694070407306] 1019 "1" "Rose's" [39.65404715383101,-78.76116211545849]
trip_coverage_not_active_for_next7_days WARNING 1

trip_coverage_not_active_for_next7_days

Trips data should be valid for at least the next seven days.

This notice is triggered if the date range where a significant number of trips are running ends in less than 7 days.

You can see more about this notice here.

currentDate (?) Current date (YYYYMMDD format). serviceWindowStartDate (?) The start date of the majority service window. serviceWindowEndDate (?) The end date of the majority service window.
"20251212" "20190603" "20200529"
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.
"trips.txt" "block_name" 11