GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.0.0 at 2025-05-17T09:03:56Z,
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:
MTI UMD
Publisher URL:
https://mti.umd.edu/
Feed Email:
N/A
Feed Language:
English
Feed Start Date:
2019-08-26
Feed End Date:
2021-08-26

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: 1
  • Blocks: 0
  • Routes: 16
  • Shapes: 25
  • Stops: 370
  • Trips: 218

Specification Compliance report

229 notices reported (174 errors, 54 warnings, 1 infos)

Notice Code Severity Total
stop_time_timepoint_without_times ERROR 174

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 174 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`.
3959 "25_T13" 17 "arrival_time"
3959 "25_T13" 17 "departure_time"
3988 "25_T12" 17 "arrival_time"
3988 "25_T12" 17 "departure_time"
4017 "25_T11" 17 "arrival_time"
4017 "25_T11" 17 "departure_time"
4046 "25_T10" 17 "arrival_time"
4046 "25_T10" 17 "departure_time"
4075 "25_T09" 17 "arrival_time"
4075 "25_T09" 17 "departure_time"
4104 "25_T08" 17 "arrival_time"
4104 "25_T08" 17 "departure_time"
4133 "25_T07" 17 "arrival_time"
4133 "25_T07" 17 "departure_time"
4162 "25_T06" 17 "arrival_time"
4162 "25_T06" 17 "departure_time"
4191 "25_T05" 17 "arrival_time"
4191 "25_T05" 17 "departure_time"
4220 "25_T04" 17 "arrival_time"
4220 "25_T04" 17 "departure_time"
4249 "25_T03" 17 "arrival_time"
4249 "25_T03" 17 "departure_time"
4278 "25_T02" 17 "arrival_time"
4278 "25_T02" 17 "departure_time"
4307 "25_T01" 17 "arrival_time"
4307 "25_T01" 17 "departure_time"
4351 "29_T14" 4 "arrival_time"
4351 "29_T14" 4 "departure_time"
4357 "29_T14" 10 "arrival_time"
4357 "29_T14" 10 "departure_time"
4392 "29_T13" 4 "arrival_time"
4392 "29_T13" 4 "departure_time"
4398 "29_T13" 10 "arrival_time"
4398 "29_T13" 10 "departure_time"
4433 "29_T12" 4 "arrival_time"
4433 "29_T12" 4 "departure_time"
4439 "29_T12" 10 "arrival_time"
4439 "29_T12" 10 "departure_time"
4474 "29_T11" 4 "arrival_time"
4474 "29_T11" 4 "departure_time"
4480 "29_T11" 10 "arrival_time"
4480 "29_T11" 10 "departure_time"
4515 "29_T10" 4 "arrival_time"
4515 "29_T10" 4 "departure_time"
4521 "29_T10" 10 "arrival_time"
4521 "29_T10" 10 "departure_time"
4556 "29_T09" 4 "arrival_time"
4556 "29_T09" 4 "departure_time"
4562 "29_T09" 10 "arrival_time"
4562 "29_T09" 10 "departure_time"
4597 "29_T08" 4 "arrival_time"
4597 "29_T08" 4 "departure_time"
4603 "29_T08" 10 "arrival_time"
4603 "29_T08" 10 "departure_time"
4638 "29_T07" 4 "arrival_time"
4638 "29_T07" 4 "departure_time"
4644 "29_T07" 10 "arrival_time"
4644 "29_T07" 10 "departure_time"
4679 "29_T06" 4 "arrival_time"
4679 "29_T06" 4 "departure_time"
4685 "29_T06" 10 "arrival_time"
4685 "29_T06" 10 "departure_time"
4720 "29_T05" 4 "arrival_time"
4720 "29_T05" 4 "departure_time"
4726 "29_T05" 10 "arrival_time"
4726 "29_T05" 10 "departure_time"
4761 "29_T04" 4 "arrival_time"
4761 "29_T04" 4 "departure_time"
4767 "29_T04" 10 "arrival_time"
4767 "29_T04" 10 "departure_time"
4802 "29_T03" 4 "arrival_time"
4802 "29_T03" 4 "departure_time"
4808 "29_T03" 10 "arrival_time"
4808 "29_T03" 10 "departure_time"
4843 "29_T02" 4 "arrival_time"
4843 "29_T02" 4 "departure_time"
4849 "29_T02" 10 "arrival_time"
4849 "29_T02" 10 "departure_time"
4884 "29_T01" 4 "arrival_time"
4884 "29_T01" 4 "departure_time"
4890 "29_T01" 10 "arrival_time"
4890 "29_T01" 10 "departure_time"
4925 "29PM_T01" 4 "arrival_time"
4925 "29PM_T01" 4 "departure_time"
4931 "29PM_T01" 10 "arrival_time"
4931 "29PM_T01" 10 "departure_time"
4956 "28AM_T01" 5 "arrival_time"
4956 "28AM_T01" 5 "departure_time"
4970 "28_T13" 5 "arrival_time"
4970 "28_T13" 5 "departure_time"
4971 "28_T13" 6 "arrival_time"
4971 "28_T13" 6 "departure_time"
4981 "28_T13" 16 "arrival_time"
4981 "28_T13" 16 "departure_time"
4995 "28_T12" 5 "arrival_time"
4995 "28_T12" 5 "departure_time"
4996 "28_T12" 6 "arrival_time"
4996 "28_T12" 6 "departure_time"
5006 "28_T12" 16 "arrival_time"
5006 "28_T12" 16 "departure_time"
5020 "28_T11" 5 "arrival_time"
5020 "28_T11" 5 "departure_time"
5021 "28_T11" 6 "arrival_time"
5021 "28_T11" 6 "departure_time"
5031 "28_T11" 16 "arrival_time"
5031 "28_T11" 16 "departure_time"
5045 "28_T10" 5 "arrival_time"
5045 "28_T10" 5 "departure_time"
5046 "28_T10" 6 "arrival_time"
5046 "28_T10" 6 "departure_time"
5056 "28_T10" 16 "arrival_time"
5056 "28_T10" 16 "departure_time"
5070 "28_T09" 5 "arrival_time"
5070 "28_T09" 5 "departure_time"
5071 "28_T09" 6 "arrival_time"
5071 "28_T09" 6 "departure_time"
5081 "28_T09" 16 "arrival_time"
5081 "28_T09" 16 "departure_time"
5095 "28_T08" 5 "arrival_time"
5095 "28_T08" 5 "departure_time"
5096 "28_T08" 6 "arrival_time"
5096 "28_T08" 6 "departure_time"
5106 "28_T08" 16 "arrival_time"
5106 "28_T08" 16 "departure_time"
5120 "28_T07" 5 "arrival_time"
5120 "28_T07" 5 "departure_time"
5121 "28_T07" 6 "arrival_time"
5121 "28_T07" 6 "departure_time"
5131 "28_T07" 16 "arrival_time"
5131 "28_T07" 16 "departure_time"
5145 "28_T06" 5 "arrival_time"
5145 "28_T06" 5 "departure_time"
5146 "28_T06" 6 "arrival_time"
5146 "28_T06" 6 "departure_time"
5156 "28_T06" 16 "arrival_time"
5156 "28_T06" 16 "departure_time"
5170 "28_T05" 5 "arrival_time"
5170 "28_T05" 5 "departure_time"
5171 "28_T05" 6 "arrival_time"
5171 "28_T05" 6 "departure_time"
5181 "28_T05" 16 "arrival_time"
5181 "28_T05" 16 "departure_time"
5195 "28_T04" 5 "arrival_time"
5195 "28_T04" 5 "departure_time"
5196 "28_T04" 6 "arrival_time"
5196 "28_T04" 6 "departure_time"
5206 "28_T04" 16 "arrival_time"
5206 "28_T04" 16 "departure_time"
5220 "28_T03" 5 "arrival_time"
5220 "28_T03" 5 "departure_time"
5221 "28_T03" 6 "arrival_time"
5221 "28_T03" 6 "departure_time"
5231 "28_T03" 16 "arrival_time"
5231 "28_T03" 16 "departure_time"
5245 "28_T02" 5 "arrival_time"
5245 "28_T02" 5 "departure_time"
5246 "28_T02" 6 "arrival_time"
5246 "28_T02" 6 "departure_time"
5256 "28_T02" 16 "arrival_time"
5256 "28_T02" 16 "departure_time"
5270 "28_T01" 5 "arrival_time"
5270 "28_T01" 5 "departure_time"
5271 "28_T01" 6 "arrival_time"
5271 "28_T01" 6 "departure_time"
5281 "28_T01" 16 "arrival_time"
5281 "28_T01" 16 "departure_time"
5421 "38AM_T02" 5 "arrival_time"
5421 "38AM_T02" 5 "departure_time"
5447 "38AM_T01" 5 "arrival_time"
5447 "38AM_T01" 5 "departure_time"
5488 "38PM_T02" 20 "arrival_time"
5488 "38PM_T02" 20 "departure_time"
5514 "38PM_T01" 20 "arrival_time"
5514 "38PM_T01" 20 "departure_time"
expired_calendar WARNING 3

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 "mtwtfs"
3 "sat"
4 "mtwtf"
fast_travel_between_consecutive_stops WARNING 30

fast_travel_between_consecutive_stops

A transit vehicle moves too fast between two consecutive stops.

The speed threshold depends on route type:

Route type Description Threshold, km/h
0 Light rail 100
1 Subway 150
2 Rail 500
3 Bus 150
4 Ferry 80
5 Cable tram 30
6 Aerial lift 50
7 Funicular 50
11 Trolleybus 150
12 Monorail 150
- Unknown 200

You can see more about this notice here.

tripCsvRowNumber (?) The row number of the problematic trip. tripId (?) `trip_id` of the problematic trip. routeId (?) `route_id` of the problematic trip. speedKph (?) Travel speed (km/h). distanceKm (?) Distance between stops (km). csvRowNumber1 (?) The row number of the first stop time. stopSequence1 (?) `stop_sequence` of the first stop. stopId1 (?) `stop_id` of the first stop. stopName1 (?) `stop_name` of the first stop. departureTime1 (?) `departure_time` of the first stop. csvRowNumber2 (?) The row number of the second stop time. stopSequence2 (?) `stop_sequence` of the second stop. stopId2 (?) `stop_id` of the second stop. stopName2 (?) `stop_name` of the second stop. arrivalTime2 (?) `arrival_time` of the second stop.
26 "24_T13" "24" 150.26527068232062 1.2522105890193385 837 4 "533" "Berry Rd & Buttonbush Dr" "19:10:00" 838 5 "538" "Berry Rd & Greenwood Dr" "19:10:30"
141 "31_T03" "31" 170.64116590586536 1.4220097158822114 3799 5 "799" "Salvation Army Super Store" "09:09:30" 3800 6 "887" "Washington Square" "09:10:00"
142 "31_T02" "31" 170.64116590586536 1.4220097158822114 3836 5 "799" "Salvation Army Super Store" "08:09:30" 3837 6 "887" "Washington Square" "08:10:00"
137 "31_T07" "31" 170.64116590586536 1.4220097158822114 3651 5 "799" "Salvation Army Super Store" "13:09:30" 3652 6 "887" "Washington Square" "13:10:00"
37 "24_T02" "24" 150.26527068232062 1.2522105890193385 1211 4 "533" "Berry Rd & Buttonbush Dr" "08:10:00" 1212 5 "538" "Berry Rd & Greenwood Dr" "08:10:30"
36 "24_T03" "24" 150.26527068232062 1.2522105890193385 1177 4 "533" "Berry Rd & Buttonbush Dr" "09:10:00" 1178 5 "538" "Berry Rd & Greenwood Dr" "09:10:30"
140 "31_T04" "31" 170.64116590586536 1.4220097158822114 3762 5 "799" "Salvation Army Super Store" "10:09:30" 3763 6 "887" "Washington Square" "10:10:00"
139 "31_T05" "31" 170.64116590586536 1.4220097158822114 3725 5 "799" "Salvation Army Super Store" "11:09:30" 3726 6 "887" "Washington Square" "11:10:00"
32 "24_T07" "24" 150.26527068232062 1.2522105890193385 1041 4 "533" "Berry Rd & Buttonbush Dr" "13:10:00" 1042 5 "538" "Berry Rd & Greenwood Dr" "13:10:30"
130 "31_T14" "31" 170.64116590586536 1.4220097158822114 3392 5 "799" "Salvation Army Super Store" "20:09:30" 3393 6 "887" "Washington Square" "20:10:00"
144 "31_T16" "31" 170.64116590586536 1.4220097158822114 3910 5 "799" "Salvation Army Super Store" "22:09:30" 3911 6 "887" "Washington Square" "22:10:00"
133 "31_T11" "31" 170.64116590586536 1.4220097158822114 3503 5 "799" "Salvation Army Super Store" "17:09:30" 3504 6 "887" "Washington Square" "17:10:00"
136 "31_T08" "31" 170.64116590586536 1.4220097158822114 3614 5 "799" "Salvation Army Super Store" "14:09:30" 3615 6 "887" "Washington Square" "14:10:00"
132 "31_T12" "31" 170.64116590586536 1.4220097158822114 3466 5 "799" "Salvation Army Super Store" "18:09:30" 3467 6 "887" "Washington Square" "18:10:00"
131 "31_T13" "31" 170.64116590586536 1.4220097158822114 3429 5 "799" "Salvation Army Super Store" "19:09:30" 3430 6 "887" "Washington Square" "19:10:00"
129 "31_T15" "31" 170.64116590586536 1.4220097158822114 3355 5 "799" "Salvation Army Super Store" "21:09:30" 3356 6 "887" "Washington Square" "21:10:00"
138 "31_T06" "31" 170.64116590586536 1.4220097158822114 3688 5 "799" "Salvation Army Super Store" "12:09:30" 3689 6 "887" "Washington Square" "12:10:00"
134 "31_T10" "31" 170.64116590586536 1.4220097158822114 3540 5 "799" "Salvation Army Super Store" "16:09:30" 3541 6 "887" "Washington Square" "16:10:00"
31 "24_T08" "24" 150.26527068232062 1.2522105890193385 1007 4 "533" "Berry Rd & Buttonbush Dr" "14:10:00" 1008 5 "538" "Berry Rd & Greenwood Dr" "14:10:30"
28 "24_T11" "24" 150.26527068232062 1.2522105890193385 905 4 "533" "Berry Rd & Buttonbush Dr" "17:10:00" 906 5 "538" "Berry Rd & Greenwood Dr" "17:10:30"
143 "31_T01" "31" 170.64116590586536 1.4220097158822114 3873 5 "799" "Salvation Army Super Store" "07:09:30" 3874 6 "887" "Washington Square" "07:10:00"
34 "24_T05" "24" 150.26527068232062 1.2522105890193385 1109 4 "533" "Berry Rd & Buttonbush Dr" "11:10:00" 1110 5 "538" "Berry Rd & Greenwood Dr" "11:10:30"
33 "24_T06" "24" 150.26527068232062 1.2522105890193385 1075 4 "533" "Berry Rd & Buttonbush Dr" "12:10:00" 1076 5 "538" "Berry Rd & Greenwood Dr" "12:10:30"
29 "24_T10" "24" 150.26527068232062 1.2522105890193385 939 4 "533" "Berry Rd & Buttonbush Dr" "16:10:00" 940 5 "538" "Berry Rd & Greenwood Dr" "16:10:30"
27 "24_T12" "24" 150.26527068232062 1.2522105890193385 871 4 "533" "Berry Rd & Buttonbush Dr" "18:10:00" 872 5 "538" "Berry Rd & Greenwood Dr" "18:10:30"
25 "24_T14" "24" 150.26527068232062 1.2522105890193385 803 4 "533" "Berry Rd & Buttonbush Dr" "20:10:00" 804 5 "538" "Berry Rd & Greenwood Dr" "20:10:30"
35 "24_T04" "24" 150.26527068232062 1.2522105890193385 1143 4 "533" "Berry Rd & Buttonbush Dr" "10:10:00" 1144 5 "538" "Berry Rd & Greenwood Dr" "10:10:30"
38 "24_T01" "24" 150.26527068232062 1.2522105890193385 1245 4 "533" "Berry Rd & Buttonbush Dr" "07:10:00" 1246 5 "538" "Berry Rd & Greenwood Dr" "07:10:30"
135 "31_T09" "31" 170.64116590586536 1.4220097158822114 3577 5 "799" "Salvation Army Super Store" "15:09:30" 3578 6 "887" "Washington Square" "15:10:00"
30 "24_T09" "24" 150.26527068232062 1.2522105890193385 973 4 "533" "Berry Rd & Buttonbush Dr" "15:10:00" 974 5 "538" "Berry Rd & Greenwood Dr" "15:10:30"
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 "20250517" "20210826" "20250524"
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 16

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.
"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"
"routes.txt" 12 "agency_id"
"routes.txt" 13 "agency_id"
"routes.txt" 14 "agency_id"
"routes.txt" 15 "agency_id"
"routes.txt" 16 "agency_id"
"routes.txt" 17 "agency_id"
mixed_case_recommended_field WARNING 2

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.
"stops.txt" "stop_name" "MVA (across)" 253
"stops.txt" "stop_name" "MVA (entrance)" 257
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.
"20250517" "20171225" "20210826"
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