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Feed status · checked 2026-08-01

Champaign Urbana Mass Transit District (MTD)

Based on the feed this agency publishes

Service mode Bus

57.0 / 100

unchanged since 2026-07-31

Catalogued in Illinois.

Covers 140 daysRealtime not yet published

A data-quality and completeness lens to help an agency improve its GTFS feed. Not an official compliance determination from any transit program. New to this? How to read your scorecard. Interactive view of this scorecard. Rubric v1.3, validator 8.0.1.

Checked for changes 80 minutes ago; last changed 19 days ago.

Measured 3 of 4 score categories from the agency's own feed.

How we measured this

Confidence in this measurement: medium.

  • Realtime quality was not measured this run. It does not count against the grade.
  • The feed was downloaded from the agency's own URL.

Confidence describes how much the pipeline could measure this run, not the feed itself. It never changes the grade.

Top things to fix

Fix 01

Add feed_info.txt with feed_start_date and feed_end_date to your export.Likely your export tool

feed_info.txt is missing its start/end dates (the file itself is absent) Apps and this scorecard can't warn anyone before the feed goes stale without stated validity dates.

⏱ Two fields, set once in export settings.worth about +15 points in its category

Fix 02

Add fare_attributes.txt (or Fares v2 files) with your fare structure. If your service is fare-free, ask to have it marked fare-free instead.

The feed contains no fare information. Riders see 'fare unknown' in trip planners and can't budget their trip; visitors are most affected.

⏱ A small file for most flat-fare systems.worth about +15 points in its category

Fix 03

Review the rule documentation for 'missing_timepoint_value' at https://gtfs-validator.mobilitydata.org/rules.html and check the flagged rows in your feed.

Missing timepoint value (flagged by the MobilityData validator). See the linked rule for what this affects.

⏱ Varies.worth about +8 points in its category

Finding handoff

Move one finding to a recheck

Select one finding. Copy the request, make the change in the feed-producing tool, then compare the next complete run.

Feed evidence
feed_info.txt is missing its start/end dates (the file itself is absent)
Next action
Add feed_info.txt with feed_start_date and feed_end_date to your export.
Recheck
Publish the changed feed at the same URL. On the next complete, comparable scorecard run, confirm that this finding is no longer reported.
Copy handoff text
How to make and check these changes

Check the result on the published feed. Read the guide, make the change in your tool, and use the next comparable run to see whether the finding is still reported. Only an action or ticket record can attribute who made the change.

  1. Add feed_info.txt with feed_start_date and feed_end_date to your export. · Read the fix guide

    Make the change. Make this change in whatever tool produces your feed, then re-export.

    Check the result. The next scorecard run checks this finding again. If a comparable check no longer reports it, the feed's clearance log records that result. This confirms feed state, not who made the change. Self-check a feed before you publish.

  2. Add fare_attributes.txt (or Fares v2 files) with your fare structure. If your service is fare-free, ask to have it marked fare-free instead. · Read the fix guide

    Make the change. Make this change in whatever tool produces your feed, then re-export.

    Check the result. The next scorecard run checks this finding again. If a comparable check no longer reports it, the feed's clearance log records that result. This confirms feed state, not who made the change. Self-check a feed before you publish.

  3. Review the rule documentation for 'missing_timepoint_value' at https://gtfs-validator.mobilitydata.org/rules.html and check the flagged rows in your feed. · Read the fix guide

    Make the change. Make this change in whatever tool produces your feed, then re-export.

    Check the result. The next scorecard run checks this finding again. If a comparable check no longer reports it, the feed's clearance log records that result. This confirms feed state, not who made the change. Self-check a feed before you publish.

Rider view: what this feed publishes

A quick read of rider-facing information in this feed.

Schedule visibility
The feed's last published service date is in 140 days.
Published accessibility data
Accessibility information is stated for 99.7% of stops and 100% of trips. This measures published data, not whether stops or vehicles are physically usable.
Fare information
No fare information is published in the feed.
Realtime information
Realtime-feed availability and live-arrival coverage are not known from this scorecard.

Important: This does not rate service reliability. Riders should confirm current service alerts, fares, and accessibility accommodations with the transit operator before traveling.

Send your vendor a fix request

You may not control the GTFS export yourself. Copy this and send it to whoever runs your scheduling software export. It names each fix with the validator notice and a guide link.

Score by category

Correctness26.5 / 100

The MobilityData validator flagged 13 kinds of issue across 322549 instances (0 error, 322444 warning, 105 informational).

Freshness85.0 / 100

Service data covers the next 140 days.

Rider experience77.3 / 100

100% of stops state wheelchair accessibility (100% marked accessible, 0% marked not accessible). This measures what the feed publishes, not whether a stop is physically usable. Fare data is not published.

Accessibility99.8 / 100

100% of stops state accessibility (100% marked accessible). Reflects what the feed states, not verified physical usability.

2 accessibility depth signals

  • 1752 stop name(s) use abbreviations or symbols a screen reader may mispronounce, with no spoken form set ("U.S. 150 & Dodson (NE Far Side)", "Winchester & Branch (NW Corner)", "Winchester & Branch (SE Corner)", and more).

    Consider: Add tts_stop_name with the spoken form, e.g. 'Main Street and Second Avenue', for the affected stops.

  • This feed models stations or entrances but has no pathways.txt and levels.txt.

    Consider: Add pathways.txt connecting entrances, platforms, and elevators, and levels.txt for each floor, so the step-free route is described.

Opportunities to strengthen the data, not deductions from the sub-score above. States what the second accessibility lens can check from the feed, not verified physical usability.

Realtime qualityNot yet measured

Not scored yet. Nothing here counts against the grade.

Routes and stops

Each route is drawn once, using the longest shape its trips follow; stops are the dots.

This feed has 1936 stops.

Skip to route and stop data

The route and stop data is ready below. Load the map only when you want the geographic view. It uses additional data.

Basemap: OpenFreeMap, © OpenStreetMap contributors. Routes and stops: this agency's GTFS feed.

  • 4 (blue)
  • 8 (gray)
  • 8 (gray)
  • 9 (brown)
  • 9 (brown)
  • 17 (red)
  • 10 (orange)
  • 10 (orange)
  • 10 (orange)
  • 5 (green)
  • 5 (green)
  • 50 (green)
  • 50 (green)
  • 5 (green)
  • 5 (green)
  • 50 (green)
  • 50 (green)
  • 50 (green)
  • 50 (green)
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  • 5 (green)
  • 50 (green)
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  • 7 (gray)
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  • 70 (gray)
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  • 22 (brown)
  • 220 (brown)
  • 220 (brown)
  • 220 (brown)
  • 22 (brown)
  • 220 (brown)
  • 220 (brown)
  • 220 (brown)
  • 220 (brown)
  • 3 (gray)
  • 3 (gray)
  • 30 (gray)
  • 30 (gray)
  • 180 (yellow)
  • 180 (yellow)
  • 180 (yellow)
  • 180 (yellow)
  • 24 (teal)
  • 14 (blue)
  • 6 (orange)
  • 6 (orange)
  • 6 (orange)
  • 16 (white)
  • 16 (white)
  • 21 (black)
  • 2 (red)
  • 20 (red)
  • 110 (pink)
  • 110 (pink)
  • 110 (pink)
  • 110 (pink)
  • 13 (white)
  • 130 (white)
  • 130 (white)
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  • 12 (teal)
  • 120 (teal)
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  • 120 (teal)
  • 1 (yellow)
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  • 100 (yellow)
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  • 100 (yellow)
  • 100 (yellow)
  • 100 (yellow)
  • 100 (yellow)
  • 100 (yellow)
  • 1 (yellow)
Routes in Champaign Urbana Mass Transit District (MTD)'s feed
RouteTypeLine color
4 BlueBusblue
8 BronzeBusgray
8 Bronze AlternateBusgray
9 BrownBusbrown
9 Brown AlternateBusbrown
17 17 CHERRYBusred
10 GoldBusorange
10 Gold AlternateBusorange
10 GoldBusorange
5 GreenBusgreen
5 Green AlternateBusgreen
50 GreenBusgreen
50 GreenBusgreen
5 Green ExpressBusgreen
5 Green Express AlternateBusgreen
50 GreenBusgreen
50 GreenBusgreen
50 GreenBusgreen
50 GreenBusgreen
50 GreenBusgreen
5 GreenBusgreen
50 GreenBusgreen
50 GreenBusgreen
7 GreyBusgray
7 Grey AlternateBusgray
70 GreyBusgray
70 GreyBusgray
70 GreyBusgray
70 GreyBusgray
22 IlliniBusbrown
220 IlliniBusbrown
220 IlliniBusbrown
220 IlliniBusbrown
22 Illini LimitedBusbrown
220 Illini LimitedBusbrown
220 Illini LimitedBusbrown
220 Illini LimitedBusbrown
220 Illini LimitedBusbrown
3 LavenderBusgray
3 Lavender AlternateBusgray
30 LavenderBusgray
30 LavenderBusgray
180 LimeBusyellow
180 LimeBusyellow
180 LimeBusyellow
180 LimeBusyellow
24 LinkBusteal
14 NavyBusblue
6 OrangeBusorange
6 Orange AlternateBusorange
6 OrangeBusorange
16 PinkBuswhite
16 Pink AlternateBuswhite
21 RavenBusblack
2 RedBusred
20 RedBusred
11 RubyBuspink (no shape in feed)
110 RubyBuspink
110 RubyBuspink
110 RubyBuspink
110 RubyBuspink
13 SilverBuswhite
130 SilverBuswhite
130 SilverBuswhite
130 SilverBuswhite
130 SilverBuswhite
130 Silver LimitedBuswhite
130 Silver LimitedBuswhite
130 Silver LimitedBuswhite
130 Silver LimitedBuswhite
130 SilverBuswhite
130 SilverBuswhite
12 TealBusteal
120 TealBusteal
120 TealBusteal
120 TealBusteal
120 TealBusteal
120 TealBusteal
120 TealBusteal
120 TealBusteal
1 YellowBusyellow
1 Yellow AlternateBusyellow
100 YellowBusyellow
100 YellowBusyellow
100 YellowBusyellow
100 YellowBusyellow
100 YellowBusyellow
100 YellowBusyellow
100 YellowBusyellow
1 YellowBusyellow
List every stop
  • U.S. 150 & Dale (NE Corner)
  • U.S. 150 & Dale (South Side)
  • U.S. 150 & Dodson (NE Far Side)
  • U.S. 150 & University (NW Corner)
  • U.S. 150 & University (NW Far Side)
  • First & Armory (NW Corner)
  • First & Armory (NE Far Side)
  • First & Daniel (NE Corner)
  • First & Daniel (NW Corner)
  • First & Daniel (NE Far Side)
  • First & Daniel (SE Far Side)
  • First & Gregory (NE Corner)
  • First & Gregory (SE Corner)
  • First & Gregory (NW Corner)
  • First & Gerty (SE Corner)
  • First & Gerty (NW Corner)
  • First & Gerty (SW Far Side)
  • First & Gerty (NW Far Side)
  • First & Hazelwood (SE Corner)
  • First & Hazelwood (NW Corner)
  • First at iHotel
  • First at iHotel
  • First & Lake Park North (East Side)
  • First & Lake Park North (NW Corner)
  • First & Lake Park South (East Side)
  • First & Lake Park South (NW Corner)
  • First & St. Mary's (NE Corner)
  • First & St. Mary's (SW Corner)
  • First & St. Mary's (NW Corner)
  • First & St. Mary's (NE Far Side)
  • First & Springfield (SE Corner)
  • First & Springfield (NW Corner)
  • First & Stadium (SE Corner)
  • First & Stadium (SW Corner)
  • First & Stadium (NW Corner)
  • First & Windsor (NW Corner)
  • Second & Church (SE Corner)
  • Second & Church (NW Corner)
  • Second & Park (SE Corner)
  • Second & Park (NW Corner)
  • Third & Daniel (SW Corner)
  • Third & Daniel (NW Far Side)
  • Fourth at Bielfeldt (West)
  • Fourth at Bielfeldt (East)
  • Fourth & Bradley (NE Corner)
  • 4th & Chalmers (NE Corner)
  • Fourth & Chalmers (NW Corner)
  • Fourth & Gregory (SE Corner)
  • Fourth & Gregory (SW Far Side)
  • Fourth & Kirby (SE Corner)
  • Fourth & Kirby (NW Corner)
  • Fourth & Kirby (NE Far Side)
  • Fourth & Pennsylvania (NE Corner)
  • Fourth & Pennsylvania (SE Corner)
  • Fourth & Pennsylvania (NW Corner)
  • Fourth & Peabody (NE Corner)
  • Fourth & Peabody (SE Corner)
  • Fourth & Peabody (SW Corner)
  • Fourth & Peabody (NW Corner)
  • Fourth & Peabody (NE Far Side)
  • Fourth & St. Mary's (NW Corner)
  • Fourth & St. Mary's (NE Far Side)
  • Fifth & Armory (SW Corner)
  • Fifth & Armory (NW Far Side)
  • Fifth & Beardsley (SE Corner)
  • Fifth & Beardsley (NW Corner)
  • 5th & Chalmers (NE Corner)
  • Fifth & Columbia (SE Corner)
  • Fifth & Columbia (NW Corner)
  • Fifth & Eureka (SE Corner)
  • Fifth & Eureka (NW Corner)
  • Fifth & Grove (SE Corner)
  • Fifth & Grove (NW Corner)
  • 5th & Washington (SW Corner)
  • Fifth & Washington (NW Corner)
  • Sixth & Armory (SW Far Side)
  • Sixth & Bradley (NE Corner)
  • Sixth & Bradley (SW Corner)
  • Sixth & Gregory (SE Corner)
  • Sixth & Peabody (SE Corner)
  • Sixth & Peabody (SW Corner)
  • Sixth & Peabody (NW Corner)
  • Anderson & Burkwood (SE Corner)
  • Anderson & Burkwood (NW Corner)
  • Anderson & Colorado (NE Corner)
  • Anderson & Colorado (SE Corner)
  • Anderson & Colorado (NW Corner)
  • Anderson & Fairlawn (SW Corner)
  • Anderson & Fairlawn (NW Far Side)
  • Anderson & Harding (SE Corner)
  • Anderson & Harding (NW Corner)
  • Anderson & Mumford (SE Corner)
  • Anderson & Mumford (NW Corner)
  • Anderson & Michigan (SE Corner)
  • Anderson & Michigan (NW Corner)
  • Anderson & Silver (SE Corner)
  • Anderson & Silver (NW Corner)
  • Aldi (South Side)
  • Aldi (North Side)
  • Alpine & Bradley (NE Corner)
  • Alpine & Bradley (NW Corner)
  • Alpine & Timberline (SE Corner)
  • Alpine & Timberline (NW Corner)
  • Amber & Myra Ridge (SE Corner)
  • Amber & Myra Ridge (SW Corner)
  • Amber & Myra Ridge (NW Corner)
  • Amber & Philo (NE Corner)
  • Amber & Philo (SE Corner)
  • Ambucs Park (South Side)
  • Ambucs Park (North Side)
  • Anthony at Ameren (North Side)
  • Anthony & Campbell (NE Corner)
  • Anthony & Campbell (NW Corner)
  • Anthony & Campbell (NE Far Side)
  • Anthony & Dobbins (SE Corner)
  • Anthony Dr. at Goodwill (NE Corner)
  • Anthony Dr. at Goodwill (SE)
  • Anthony & Dusk (SE Corner)
  • Anthony at Rural King (North Side)
  • Anthony at Rural King (South Side)
  • Anthony at Woodspring Suites (North)
  • Anthony & Mattis (NE Corner)
  • Anthony & Mattis (SE Corner)
  • Anthony & North Shore (NE Corner)
  • Anthony at National Warehouse (NE)
  • Anthony & Walters (NW Corner)
  • Anthony & Walters (NE Far Side)
  • Airport & High Cross (SE Corner)
  • Activities & Recreation (South Side)
  • Activities & Recreation (North Side)
  • Airport & Clifton (SW Corner)
  • Airport & Cunningham (SE Far Side)
  • Airport & Captiva (SW Corner)
  • Airport & Donald (SW Corner)
  • Airport & Fieldcrest (SW Corner)
  • Airport & Landis Farm (SW Corner)
  • Airport & Skyline (SW Corner)
  • Armory & Wright (NE Far Side)
  • Ashton Woods (West Side)
  • Ashton Woods (East Side)
  • Lincoln at Atrium Apts (East Side)
  • Baytowne & Boardwalk (SE Corner)
  • Baytowne & Boardwalk (West Side)
  • Beech & Romine (SE Corner)
  • Beech & Romine (SW Corner)
  • Beech & Romine (NW Corner)
  • Broadmoor & Bellamy (NE Corner)
  • Broadmoor & Bellamy (SW Corner)
  • Broadmoor & Crescent (SW Corner)
  • Broadmoor & Crescent (NW Corner)
  • Broadmoor & David (SW Corner)
  • Broadmoor & Galen (SE Corner)
  • Broadmoor & Galen (SW Corner)
  • Broadmoor & Galen (SW Far Side)
  • Broadmoor & Lynwood (NE Corner)
  • Broadmoor & Lynwood (SW Corner)
  • Broadmoor & Lakeside (NE Corner)
  • Broadmoor & Lakeside (SW Corner)
  • Broadway & Country Club (SE Corner)
  • Broadway & Country Club (SW Far Side)
  • Broadway & Kerr (NE Corner)
  • Broadway & Kerr (SE Corner)
  • Broadway & Kerr (NW)
  • Broadway & Stebbins (SE Corner)
  • Broadway & Stebbins (NW)
  • Broadway north of Water (West Side)
  • Broadway north of Water (East Side)
  • Broadway & Oakland (SE Corner)
  • Broadway & Oakland (NW Corner)
  • Broadway & Park (SE Corner)
  • Broadway & Park (SW Corner)
  • Broadway & Park (NW Corner)
  • Broadway & Park (NW Far Side)
  • Broadway & Thompson (SE Corner)
  • Broadway & Thompson (NW Corner)
  • Broadway & University (NE Corner)
  • Broadway & University (SE Corner)
  • Broadway & University (SW Far Side)
  • Balboa & Prospect (NE Corner)
  • Balboa & Prospect (SE Far Side)
  • Boulder Ridge & Peppermill (North Side)
  • Bluegrass & Boca Vista (SE Corner)
  • Bluegrass & Boulder Ridge (SE Corner)
  • Bluegrass & Summersage (SW Corner)
  • Bluegrass & Summersage (NW Corner)
  • Bloomington & Alabama (SW Corner)
  • Bloomington at Home Depot
  • Bloomington & Hagan (North Side)
  • Bloomington & Hagan (SE Corner)
  • Bloomington & Hagan (SW Corner)
  • Bloomington & Highland (North Side)
  • Bloomington & Highland (SW Corner)
  • Bloomington & McKinley (NE Corner)
  • Bloomington & McKinley (SE Corner)
  • Bloomington & McKinley (SW Far Side)
  • Bloomington at Pioneer Plaza
  • Bloomington & Sunset (NE Corner)
  • Bloomington & Willis (North Side)
  • Bloomington & Willis (SW Corner)
  • Bonnie Blair & Amy (NE Corner)
  • Bonnie Blair & Amy (SE Corner)
  • Bonnie Blair & Gold Medal (NE Corner)
  • Bonnie Blair & Gold Medal (SE Corner)
  • Bonnie Blair & Nancy Beth (NE Corner)
  • Bonnie Blair & Nancy Beth (SW Corner)
  • Bonnie Blair & Sharon (NE Corner)
  • Bonnie Blair & Valerie (NE Corner)
  • Brownfield & Airport (NE Corner)
  • Brownfield & Airport (SW Corner)
  • Brownfield & Airport (SW Far Side)
  • Brownfield & Arlene (NW Corner)
  • Brownfield & Clifton (NW Corner)
  • Brownfield & Columbia (SW Corner)
  • Brownfield & Columbia (NW Corner)
  • Brownfield & Columbia (NW Far Side)
  • Brownfield & Johnson (NW Corner)
  • Brownfield & Mary Lou (West Side)
  • Brownfield & Perkins (SE Corner)
  • Brownfield & Prairieview (NW Corner)
  • Brownfield & Sharlyn (West Side)
  • Bentbrook & Bentbrook Ct (NE Corner)
  • Bentbrook & Cobblefield (NW Corner)
  • Bentbrook & Golf Creek (East Side)
  • Bentbrook & Golf Creek (NW Corner)
  • Bentbrook & Pinecrest (NW Corner)
  • Bentbrook & Riverknoll (NE Corner)
  • Bentbrook & Staley (NE Corner)
  • Bentbrook & Staley (SE Corner)
  • Bentbrook & Staley (SE Far Side)
  • Bradley (South Side)
  • Bradley (North Side)
  • Bradley & Country Fair Dr. (NE Corner)
  • Bradley & Country Fair Dr. (SE Corner)
  • Bradley & Country Fair Dr. (SW Corner)
  • Bradley & Country Fair Dr. (NW Far Side)
  • Bradley & Clayton (NE Corner)
  • Bradley & Clayton (SE Corner)
  • Bradley & Clayton (NW Corner)
  • Bradley & Clayton (NE Far Side)
  • Bradley & Clayton (SE Far Side)
  • Bradley & Champaign (NE Corner)
  • Bradley & Champaign (SW Corner)
  • Bradley & Carver (NE Corner)
  • Bradley & Carver (SW Corner)
  • Bradley & Duncan (NE Corner)
  • Bradley & Duncan (SW Corner)
  • Bradley & Elm (NE Corner)
  • Bradley & Elm (SW Corner)
  • Bradley & Hagan (NE Corner)
  • Bradley & Hagan (South Side)
  • and 1686 more (see the full list on the map or in the GeoJSON)

Over time

Overall score across the last 4 checks — unchanged since 2026-07-31.

2026-07-25: 57.02026-07-30: 57.02026-07-31: 57.02026-08-01: 57.0
Show the numbers
Overall score by check, with the change from the previous check
CheckScoreChange
2026-07-2557.0 first check
2026-07-3057.0 no change
2026-07-3157.0 no change
2026-08-0157.0 no change

What changed since your last check

  • Correctness no change
  • Freshness no change
  • Rider experience no change

What changed in this feed

Overall grade and score held steady since 2026-07-31.

Same feed file as 2026-07-31; the published zip did not change.

Subscribe to this feed’s changes (Atom) to hear about grade drops in a reader, with no sign-up.

Everything we checked

19 findings, ordered by severity.

Show every finding
  • Warning321337 instances

    Missing timepoint value (flagged by the MobilityData validator).

    See the linked rule for what this affects.

    Fix: Review the rule documentation for 'missing_timepoint_value' at https://gtfs-validator.mobilitydata.org/rules.html and check the flagged rows in your feed. (Varies.)

    Finding code: missing_timepoint_value · Read the fix guide · See MobilityData GTFS Validator rules (opens the validator rules on an external site)

  • Warning514 instances

    Some service calendars have no days of the week switched on.

    Trips tied to these calendars never run; they are dead data that can mask real schedule problems.

    Fix: Delete the empty calendars or set their service days. (A few minutes in your scheduling software.)

    Finding code: service_has_no_active_day_of_the_week · Read the fix guide · See MobilityData GTFS Validator rules (opens the validator rules on an external site)

  • Warning311 instances

    Some trips serve fewer than two stops.

    A trip with one stop can't be ridden; planners ignore it and it may signal an export problem.

    Fix: Check the flagged trips in your scheduling software; remove them or restore their missing stops. (Worth a vendor question if it appears often.)

    Finding code: unusable_trip · See MobilityData GTFS Validator rules (opens the validator rules on an external site)

  • Warning88 instances

    Some service calendars in the feed have already ended.

    Expired calendars are dead weight and can hide real schedule problems from your staff and vendors.

    Fix: Remove past service periods the next time you export the feed. (One setting in most export tools.)

    Finding code: expired_calendar · Read the fix guide · See MobilityData GTFS Validator rules (opens the validator rules on an external site)

  • Warning74 instances

    Some stops sit far from the route line they belong to.

    Trip planners may draw the bus route through the wrong streets or point riders to the wrong corner.

    Fix: Check the flagged stops' coordinates and the route shape in your scheduling software; re-snap whichever is misplaced. (A few minutes per flagged stop.)

    Finding code: stop_too_far_from_shape · Read the fix guide · See MobilityData GTFS Validator rules (opens the validator rules on an external site)

  • Warning50 instances

    50 of 8222 trips lack rider-facing destination or direction text.

    When a route has multiple directions or patterns, the route name alone may not tell riders which service is coming.

    Fix: Add the destination, direction, or 'via' label riders actually see to trip_headsign. Do not copy the route name. If the label changes during the trip, use stop_headsign. (Usually one value per route pattern in your scheduling source.)

    Finding code: scorecard_missing_headsigns · Read the fix guide · See GTFS Best Practices (opens GTFS Best Practices on an external site)

  • Warning47 instances

    Two or more routes share the same name.

    Riders can't tell the routes apart in apps.

    Fix: Give each route a distinct short or long name. (One field per route.)

    Finding code: duplicate_route_name · See MobilityData GTFS Validator rules (opens the validator rules on an external site)

  • Warning45 instances

    Some rider-facing names are in ALL CAPS or all lowercase.

    ALL-CAPS stop and headsign names are harder to read in apps and are read awkwardly by screen readers.

    Fix: Use mixed case for stop names and headsigns (e.g. 'Main St & 2nd Ave', not 'MAIN ST & 2ND AVE'). (Often a bulk fix in your scheduling software.)

    Finding code: mixed_case_recommended_field · Read the fix guide · See MobilityData GTFS Validator rules (opens the validator rules on an external site)

  • Warning14 instances

    Equal shape distance diff coordinates distance below threshold (flagged by the MobilityData validator).

    See the linked rule for what this affects.

    Fix: Review the rule documentation for 'equal_shape_distance_diff_coordinates_distance_below_threshold' at https://gtfs-validator.mobilitydata.org/rules.html and check the flagged rows in your feed. (Varies.)

    Finding code: equal_shape_distance_diff_coordinates_distance_below_threshold · See MobilityData GTFS Validator rules (opens the validator rules on an external site)

  • Warning12 instances

    Some scheduled trips move faster between stops than a bus can.

    Usually a typo'd stop time; riders get arrival times no bus can meet.

    Fix: Check the flagged stop times for transposed minutes. (A few minutes per flagged trip.)

    Finding code: fast_travel_between_consecutive_stops · Read the fix guide · See MobilityData GTFS Validator rules (opens the validator rules on an external site)

  • Warning6 instances

    6 of 1936 stops don't say whether a wheelchair user can board there.

    Riders who use wheelchairs can't plan a trip when accessibility is marked 'unknown'; apps show no information at all.

    Fix: Set wheelchair_boarding to 1 (accessible) or 2 (not accessible) for every stop. A field survey can start with the busiest stops. (A column in stops.txt; your scheduling software likely has it.)

    Finding code: scorecard_wheelchair_boarding_unknown · Read the fix guide · See GTFS Schedule reference (opens the GTFS Schedule reference on an external site)

  • Warning1 instance

    A file GTFS asks for (usually feed_info.txt) is missing.

    feed_info.txt tells apps who publishes the feed and when it expires; without it nobody is warned before data goes stale.

    Fix: Add feed_info.txt with publisher name, URL, language, and feed_start_date/feed_end_date. (One small file, set once in export settings.)

    Finding code: missing_recommended_file · Read the fix guide · See MobilityData GTFS Validator rules (opens the validator rules on an external site)

  • Warning1 instance

    Some route long names repeat the route's short name inside them.

    Apps show both names together, so riders see the number twice, like '5 5 Downtown'.

    Fix: Drop the short name from route_long_name and keep the long name descriptive, like 'Downtown via 5th Ave'. (One field per flagged route.)

    Finding code: route_long_name_contains_short_name · See MobilityData GTFS Validator rules (opens the validator rules on an external site)

  • Warning1 instance

    feed_info.txt is missing its start/end dates (the file itself is absent)

    Apps and this scorecard can't warn anyone before the feed goes stale without stated validity dates.

    Fix: Add feed_info.txt with feed_start_date and feed_end_date to your export. (Two fields, set once in export settings.)

    Finding code: scorecard_missing_feed_info_dates · Read the fix guide · See MobilityData GTFS Validator rules (opens the validator rules on an external site)

  • Warning1 instance

    The feed contains no fare information.

    Riders see 'fare unknown' in trip planners and can't budget their trip; visitors are most affected.

    Fix: Add fare_attributes.txt (or Fares v2 files) with your fare structure. If your service is fare-free, ask to have it marked fare-free instead. (A small file for most flat-fare systems.)

    Finding code: scorecard_no_fare_data · Read the fix guide · See GTFS Best Practices (opens GTFS Best Practices on an external site)

  • Warning1 instance

    This feed models stations or entrances but has no pathways.txt.

    Trip planners can't guide riders through the station, and there is no step-free route information for wheelchair users.

    Fix: Add pathways.txt connecting entrances, platforms, and any elevators, with a level for each. (Worth it for multi-level or large stations; flat stops don't need it.)

    Finding code: scorecard_station_no_pathways · Read the fix guide · See GTFS Schedule reference (opens the GTFS Schedule reference on an external site)

  • Info104 instances

    The feed has a stretch of two weeks or more with no service running.

    A long gap can mean dates were left out of the calendar. Apps then show no trips on those days.

    Fix: Check whether the gap is real, like a seasonal break; if not, add the missing dates to the calendar. (A review of your calendar dates.)

    Finding code: big_gap_in_service · Read the fix guide · See MobilityData GTFS Validator rules (opens the validator rules on an external site)

  • Info1 instance

    Some files contain columns that are not part of the GTFS spec.

    Harmless to riders, but apps ignore these columns and they can hide typos in real column names.

    Fix: Check the flagged column names for misspellings of standard GTFS fields; remove them if they are vendor extras. (A quick look at the flagged files.)

    Finding code: unknown_column · Read the fix guide · See MobilityData GTFS Validator rules (opens the validator rules on an external site)

  • Info1 instance

    feed_info.txt has no technical contact (feed_contact_email or feed_contact_url).

    Trip-planning apps and regional data coordinators have nobody to email when they spot a problem with your feed, so problems linger.

    Fix: Add feed_contact_email to feed_info.txt. (One field.)

    Finding code: scorecard_no_feed_contact · Read the fix guide · See MobilityData GTFS Validator rules (opens the validator rules on an external site)

NTD GTFS readiness Ready

Published at a public URL, valid, current, and identified with agency_id: the four feed checks for RY2026 all hold here. Only your own D-10 and P-50 filings make that official; this is a heads-up, not a determination.

Published Ready
Published at a public URL.
Valid Ready
Passes validation with no errors.
Current Ready
Service data covers the next 140 days.
agency_id provided Ready
agency.txt provides agency_id. For RY2026, keep one stable value for each NTD reporter represented in the feed and crosswalk each value on the P-50 form.
agency_id equals your NTD ID (optional) Not checked yet
This feed provides agency_id. For RY2026, keep one stable value for each NTD reporter represented in the feed and crosswalk it on the P-50 form. The value does not need to equal the five-digit NTD ID; we do not have that ID on file, so the optional equality comparison is not checked yet.
shapes.txt covers your trips Ready
All 8222 trips have a shape in shapes.txt.

In plain words: if you report to the federal transit database, you have to publish a working, up-to-date feed, provide a stable agency_id for each represented reporter, and confirm the feed and P-50 crosswalk each year. This box is a heads-up; your filings are the official check.

A readiness signal mapping this feed to the FTA National Transit Database GTFS requirement (Report Year 2023 onward: a public, valid, current feed, certified annually on the D-10). For RY2026, each represented reporter needs a stable agency_id, unique within the feed and crosswalked to its five-digit NTD ID on P-50; the values do not need to be equal. FTA also requires shapes.txt in the published GTFS: Full Reporters from Report Year 2025, and Reduced, Rural, and Tribal Reporters from Report Year 2026. Not an official determination; your certification is the official check.

Conformance mark Awarded

This feed earns the conformance mark: valid, current, and stating wheelchair access on nearly every stop and trip.

GTFS conformance mark for Champaign Urbana Mass Transit District (MTD)

Valid Met
Passes validation with no errors.
Current Met
Service data covers the next 140 days.
Accessible Met
States wheelchair access on 100% of stops and 100% of trips.

In plain words: earn this mark when your feed passes validation, has not expired, and says whether nearly every stop and trip is wheelchair accessible.

A pass credential for a feed that is valid, current, and states wheelchair access on nearly every stop and trip. Accessibility here measures what the feed publishes, not whether a stop is physically usable. How the conformance mark works.

Can riders use it?

Checks beyond structural validation: places where the feed is valid but a rider still could not travel.

  • 311 of 8222 trips list fewer than two stops. A trip with one stop has no leg a rider can ride; trip planners can't route anyone on it, so the service effectively does not exist. Check your scheduling export: every trip should list each stop it calls at, in order, with times.

These do not change the grade. They catch trips with no rideable leg and stops no trip serves, the kind of gap a trip planner trips over.

Clears the Google and Apple Maps four-week coverage bar. This feed has 140 days of service ahead, clearing the four-week (28-day) window Maps asks for. No validator errors either, so riders keep seeing this agency in their trip planners; warnings lower the grade here but do not remove a feed from Maps.

How this agency maps to the standards

The scorecard is a data-quality lens, not a compliance determination. Its universal references describe good GTFS and useful rider information. Useful references here are GTFS Schedule Best Practices, GTFS-Realtime Best Practices, MobilityData grading scheme, Google Transit publication guidance, FTA National Transit Database GTFS requirement. Read the full standards crosswalk.

Correctness 26 / 100
GTFS Schedule best practices, checked by the MobilityData validator. MobilityData grading covers stop locations, route names, and colors. Google Transit requires a feed to pass validation for publication. FTA NTD readiness also checks that the published feed is valid.
Freshness 85 / 100
GTFS Schedule best practices call for a dataset that stays current. An expired calendar can remove service from Google Transit and other rider trip planners. FTA NTD readiness also checks that the published feed is current.
Rider experience 77 / 100
GTFS Best Practices for rider-facing fields. MobilityData grading covers stop names and headsigns.
Realtime quality Not yet published
GTFS-Realtime best practices: a stable URL, high uptime, and frequent updates.

Show your grade

Put a badge on your agency site or feed README. It updates after each completed scoring check and links back to this scorecard.

Champaign Urbana Mass Transit District (MTD) GTFS data quality grade: F

Prefer a shields.io style? Point a dynamic endpoint badge at the published badge.json.

Cite this record

This page updates on every check. The record below does not: it is the dated file this grade came from, published at https://gtfsscorecard.org/data/artifacts/champaign-urbana-mass-transit-district-mtd/2026-08-01.json and never overwritten, pinning the grade, category scores, rubric version, validator version, reader archive profile, and the scored feed's sha256 as they stood on 2026-08-01. Use it in a board packet, a regulatory filing, or a research citation instead of linking the live page, whose content will differ on your next visit.

Citing the tool itself rather than one agency's record? Use the repo's CITATION.cff.