lucie-treasure-coast-connector — Source Data Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-03-23T18:49:14Z,
for the dataset file:///shared/lucie-treasure-coast-connector_5e6511e9.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included

RM_FL_COASL
- website: http://www.treasurecoastconnector.com/
- phone number:
- email: Not provided

Feed Info

Publisher Name:
N/A: Publisher URL:
N/A: Feed Email:
N/A: Feed Language:
N/A: Service Window:
2015-05-18 to 2015-12-31 (?) The range of service dates covered by the feed, based on trips with an associated service_id in calendar.txt and/or calendar_dates.txt

Files included

agency.txt
calendar.txt
calendar_dates.txt
routes.txt
shapes.txt
stop_times.txt
stops.txt
trips.txt

Counts

Agencies: 1
Blocks: 0
Routes: 6
Shapes: 6
Stops: 156
Trips: 460

GTFS Features included (?) GTFS features provide a standardized vocabulary to define and describe features that are officially adopted in GTFS.

Shapes

Specification Compliance report

10867 notices reported (0 errors, 10867 warnings, 0 infos)

Notice Code Severity Total

expired_calendar WARNING 460

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.

Only the first 50 of 460 affected records are displayed below.

csvRowNumber (?) The row of the faulty record.	serviceId (?) The service id of the faulty record.
2	"Route 1_#0_2015-04-22T12:58:06_20150518_99991231_20150518_99991231_2"
3	"Route 1_#0_2015-04-22T12:58:06_20150518_99991231_20150518_99991231_3"
4	"Route 1_#0_2015-04-22T12:58:06_20150518_99991231_20150518_99991231_4"
5	"Route 1_#0_2015-04-22T12:58:06_20150518_99991231_20150518_99991231_5"
6	"Route 1_#0_2015-04-22T12:58:06_20150518_99991231_20150518_99991231_6"
7	"Route 1_#0_2015-04-22T15:29:36_20150518_99991231_20150518_99991231_2"
8	"Route 1_#0_2015-04-22T15:29:36_20150518_99991231_20150518_99991231_3"
9	"Route 1_#0_2015-04-22T15:29:36_20150518_99991231_20150518_99991231_4"
10	"Route 1_#0_2015-04-22T15:29:36_20150518_99991231_20150518_99991231_5"
11	"Route 1_#0_2015-04-22T15:29:36_20150518_99991231_20150518_99991231_6"
12	"Route 1_#0_2015-04-22T15:35:02_20150518_99991231_20150518_99991231_2"
13	"Route 1_#0_2015-04-22T15:35:02_20150518_99991231_20150518_99991231_3"
14	"Route 1_#0_2015-04-22T15:35:02_20150518_99991231_20150518_99991231_4"
15	"Route 1_#0_2015-04-22T15:35:02_20150518_99991231_20150518_99991231_5"
16	"Route 1_#0_2015-04-22T15:35:02_20150518_99991231_20150518_99991231_6"
17	"Route 1_#0_2015-05-11T23:03:15_20150518_99991231_20150518_99991231_2"
18	"Route 1_#0_2015-05-11T23:03:15_20150518_99991231_20150518_99991231_3"
19	"Route 1_#0_2015-05-11T23:03:15_20150518_99991231_20150518_99991231_4"
20	"Route 1_#0_2015-05-11T23:03:15_20150518_99991231_20150518_99991231_5"
21	"Route 1_#0_2015-05-11T23:03:15_20150518_99991231_20150518_99991231_6"
22	"Route 1_#0_2015-05-11T23:03:29_20150518_99991231_20150518_99991231_2"
23	"Route 1_#0_2015-05-11T23:03:29_20150518_99991231_20150518_99991231_3"
24	"Route 1_#0_2015-05-11T23:03:29_20150518_99991231_20150518_99991231_4"
25	"Route 1_#0_2015-05-11T23:03:29_20150518_99991231_20150518_99991231_5"
26	"Route 1_#0_2015-05-11T23:03:29_20150518_99991231_20150518_99991231_6"
27	"Route 1_#0_2015-05-11T23:03:46_20150518_99991231_20150515_99991231_2"
28	"Route 1_#0_2015-05-11T23:03:46_20150518_99991231_20150515_99991231_3"
29	"Route 1_#0_2015-05-11T23:03:46_20150518_99991231_20150515_99991231_4"
30	"Route 1_#0_2015-05-11T23:03:46_20150518_99991231_20150515_99991231_5"
31	"Route 1_#0_2015-05-11T23:03:46_20150518_99991231_20150515_99991231_6"
32	"Route 1_#0_2015-05-11T23:04:05_20150518_99991231_20150515_99991231_2"
33	"Route 1_#0_2015-05-11T23:04:05_20150518_99991231_20150515_99991231_3"
34	"Route 1_#0_2015-05-11T23:04:05_20150518_99991231_20150515_99991231_4"
35	"Route 1_#0_2015-05-11T23:04:05_20150518_99991231_20150515_99991231_5"
36	"Route 1_#0_2015-05-11T23:04:05_20150518_99991231_20150515_99991231_6"
37	"Route 1_#1_2015-04-22T12:58:06_20150518_99991231_20150518_99991231_2"
38	"Route 1_#1_2015-04-22T12:58:06_20150518_99991231_20150518_99991231_3"
39	"Route 1_#1_2015-04-22T12:58:06_20150518_99991231_20150518_99991231_4"
40	"Route 1_#1_2015-04-22T12:58:06_20150518_99991231_20150518_99991231_5"
41	"Route 1_#1_2015-04-22T12:58:06_20150518_99991231_20150518_99991231_6"
42	"Route 1_#1_2015-04-22T15:29:36_20150518_99991231_20150518_99991231_2"
43	"Route 1_#1_2015-04-22T15:29:36_20150518_99991231_20150518_99991231_3"
44	"Route 1_#1_2015-04-22T15:29:36_20150518_99991231_20150518_99991231_4"
45	"Route 1_#1_2015-04-22T15:29:36_20150518_99991231_20150518_99991231_5"
46	"Route 1_#1_2015-04-22T15:29:36_20150518_99991231_20150518_99991231_6"
47	"Route 1_#1_2015-04-22T15:35:03_20150518_99991231_20150518_99991231_2"
48	"Route 1_#1_2015-04-22T15:35:03_20150518_99991231_20150518_99991231_3"
49	"Route 1_#1_2015-04-22T15:35:03_20150518_99991231_20150518_99991231_4"
50	"Route 1_#1_2015-04-22T15:35:03_20150518_99991231_20150518_99991231_5"
51	"Route 1_#1_2015-04-22T15:35:03_20150518_99991231_20150518_99991231_6"

fast_travel_between_consecutive_stops WARNING 260

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.

Only the first 50 of 260 affected records are displayed below.

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.
457	"0700_Apr 23 2015 8:14:14:740AM_20150518_99991231_20150515_99991231_2"	"Route 6"	192.9184895184958	0.8038270396603991	8083	14	"286"	"AIROSO BLVD & LAKEHURST TERR"	"07:46:00"	8654	15	"287"	"AIROSO BLVD & EYERLY AVE"	"07:46:15"
458	"0700_Apr 23 2015 8:14:14:740AM_20150518_99991231_20150515_99991231_3"	"Route 6"	192.9184895184958	0.8038270396603991	8657	14	"286"	"AIROSO BLVD & LAKEHURST TERR"	"07:46:00"	8086	15	"287"	"AIROSO BLVD & EYERLY AVE"	"07:46:15"
459	"0700_Apr 23 2015 8:14:14:740AM_20150518_99991231_20150515_99991231_4"	"Route 6"	192.9184895184958	0.8038270396603991	6140	14	"286"	"AIROSO BLVD & LAKEHURST TERR"	"07:46:00"	6895	15	"287"	"AIROSO BLVD & EYERLY AVE"	"07:46:15"
460	"0700_Apr 23 2015 8:14:14:740AM_20150518_99991231_20150515_99991231_5"	"Route 6"	192.9184895184958	0.8038270396603991	6143	14	"286"	"AIROSO BLVD & LAKEHURST TERR"	"07:46:00"	5624	15	"287"	"AIROSO BLVD & EYERLY AVE"	"07:46:15"
461	"0700_Apr 23 2015 8:14:14:740AM_20150518_99991231_20150515_99991231_6"	"Route 6"	192.9184895184958	0.8038270396603991	8097	14	"286"	"AIROSO BLVD & LAKEHURST TERR"	"07:46:00"	9060	15	"287"	"AIROSO BLVD & EYERLY AVE"	"07:46:15"
291	"#9_2015-04-23T07:45:05_20150518_99991231_20150514_99991231_6"	"Route 4"	191.8018414633325	1.2786789430888832	7684	10	"270"	"LENNARD RD & MALELEUCA BLVD"	"17:22:00"	7659	11	"271"	"LENNARD RD & GRAND AVE"	"17:22:24"
287	"#9_2015-04-23T07:45:05_20150518_99991231_20150514_99991231_2"	"Route 4"	191.8018414633325	1.2786789430888832	8408	10	"270"	"LENNARD RD & MALELEUCA BLVD"	"17:22:00"	7671	11	"271"	"LENNARD RD & GRAND AVE"	"17:22:24"
288	"#9_2015-04-23T07:45:05_20150518_99991231_20150514_99991231_3"	"Route 4"	191.8018414633325	1.2786789430888832	4998	10	"270"	"LENNARD RD & MALELEUCA BLVD"	"17:22:00"	5746	11	"271"	"LENNARD RD & GRAND AVE"	"17:22:24"
289	"#9_2015-04-23T07:45:05_20150518_99991231_20150514_99991231_4"	"Route 4"	191.8018414633325	1.2786789430888832	8416	10	"270"	"LENNARD RD & MALELEUCA BLVD"	"17:22:00"	5748	11	"271"	"LENNARD RD & GRAND AVE"	"17:22:24"
290	"#9_2015-04-23T07:45:05_20150518_99991231_20150514_99991231_5"	"Route 4"	191.8018414633325	1.2786789430888832	7656	10	"270"	"LENNARD RD & MALELEUCA BLVD"	"17:22:00"	7657	11	"271"	"LENNARD RD & GRAND AVE"	"17:22:24"
382	"#3_2015-04-23T08:08:25_20150518_99991231_20150515_99991231_2"	"Route 6"	205.84848449497463	1.0864225570568105	3098	7	"216"	"WEST VIRGINIA AVE & MANTH LN"	"11:11:15"	5046	8	"219"	"WEST VIRGINIA AVE & FLORESTA DR"	"11:11:34"
384	"#3_2015-04-23T08:08:25_20150518_99991231_20150515_99991231_4"	"Route 6"	205.84848449497463	1.0864225570568105	4487	7	"216"	"WEST VIRGINIA AVE & MANTH LN"	"11:11:15"	5051	8	"219"	"WEST VIRGINIA AVE & FLORESTA DR"	"11:11:34"
383	"#3_2015-04-23T08:08:25_20150518_99991231_20150515_99991231_3"	"Route 6"	205.84848449497463	1.0864225570568105	5049	7	"216"	"WEST VIRGINIA AVE & MANTH LN"	"11:11:15"	4167	8	"219"	"WEST VIRGINIA AVE & FLORESTA DR"	"11:11:34"
386	"#3_2015-04-23T08:08:25_20150518_99991231_20150515_99991231_6"	"Route 6"	205.84848449497463	1.0864225570568105	5058	7	"216"	"WEST VIRGINIA AVE & MANTH LN"	"11:11:15"	4959	8	"219"	"WEST VIRGINIA AVE & FLORESTA DR"	"11:11:34"
385	"#3_2015-04-23T08:08:25_20150518_99991231_20150515_99991231_5"	"Route 6"	205.84848449497463	1.0864225570568105	5241	7	"216"	"WEST VIRGINIA AVE & MANTH LN"	"11:11:15"	2317	8	"219"	"WEST VIRGINIA AVE & FLORESTA DR"	"11:11:34"
422	"#7_2015-04-23T08:08:25_20150518_99991231_20150515_99991231_2"	"Route 6"	205.84848449497463	1.0864225570568105	6798	7	"216"	"WEST VIRGINIA AVE & MANTH LN"	"15:11:15"	7593	8	"219"	"WEST VIRGINIA AVE & FLORESTA DR"	"15:11:34"
423	"#7_2015-04-23T08:08:25_20150518_99991231_20150515_99991231_3"	"Route 6"	205.84848449497463	1.0864225570568105	3588	7	"216"	"WEST VIRGINIA AVE & MANTH LN"	"15:11:15"	4028	8	"219"	"WEST VIRGINIA AVE & FLORESTA DR"	"15:11:34"
424	"#7_2015-04-23T08:08:25_20150518_99991231_20150515_99991231_4"	"Route 6"	205.84848449497463	1.0864225570568105	9613	7	"216"	"WEST VIRGINIA AVE & MANTH LN"	"15:11:15"	4031	8	"219"	"WEST VIRGINIA AVE & FLORESTA DR"	"15:11:34"
425	"#7_2015-04-23T08:08:25_20150518_99991231_20150515_99991231_5"	"Route 6"	205.84848449497463	1.0864225570568105	4033	7	"216"	"WEST VIRGINIA AVE & MANTH LN"	"15:11:15"	9617	8	"219"	"WEST VIRGINIA AVE & FLORESTA DR"	"15:11:34"
426	"#7_2015-04-23T08:08:25_20150518_99991231_20150515_99991231_6"	"Route 6"	205.84848449497463	1.0864225570568105	7180	7	"216"	"WEST VIRGINIA AVE & MANTH LN"	"15:11:15"	6810	8	"219"	"WEST VIRGINIA AVE & FLORESTA DR"	"15:11:34"
254	"#2_2015-04-23T07:45:05_20150518_99991231_20150514_99991231_4"	"Route 4"	191.8018414633325	1.2786789430888832	3822	10	"270"	"LENNARD RD & MALELEUCA BLVD"	"10:22:00"	9000	11	"271"	"LENNARD RD & GRAND AVE"	"10:22:24"
253	"#2_2015-04-23T07:45:05_20150518_99991231_20150514_99991231_3"	"Route 4"	191.8018414633325	1.2786789430888832	3685	10	"270"	"LENNARD RD & MALELEUCA BLVD"	"10:22:00"	1624	11	"271"	"LENNARD RD & GRAND AVE"	"10:22:24"
252	"#2_2015-04-23T07:45:05_20150518_99991231_20150514_99991231_2"	"Route 4"	191.8018414633325	1.2786789430888832	3683	10	"270"	"LENNARD RD & MALELEUCA BLVD"	"10:22:00"	1620	11	"271"	"LENNARD RD & GRAND AVE"	"10:22:24"
256	"#2_2015-04-23T07:45:05_20150518_99991231_20150514_99991231_6"	"Route 4"	191.8018414633325	1.2786789430888832	4610	10	"270"	"LENNARD RD & MALELEUCA BLVD"	"10:22:00"	2027	11	"271"	"LENNARD RD & GRAND AVE"	"10:22:24"
255	"#2_2015-04-23T07:45:05_20150518_99991231_20150514_99991231_5"	"Route 4"	191.8018414633325	1.2786789430888832	2021	10	"270"	"LENNARD RD & MALELEUCA BLVD"	"10:22:00"	4607	11	"271"	"LENNARD RD & GRAND AVE"	"10:22:24"
292	"0700_Apr 22 2015 4:19:10:580PM_20150518_99991231_20150514_99991231_2"	"Route 4"	191.8018414633325	1.2786789430888832	8488	10	"270"	"LENNARD RD & MALELEUCA BLVD"	"07:22:00"	8341	11	"271"	"LENNARD RD & GRAND AVE"	"07:22:24"
294	"0700_Apr 22 2015 4:19:10:580PM_20150518_99991231_20150514_99991231_4"	"Route 4"	191.8018414633325	1.2786789430888832	5506	10	"270"	"LENNARD RD & MALELEUCA BLVD"	"07:22:00"	6847	11	"271"	"LENNARD RD & GRAND AVE"	"07:22:24"
293	"0700_Apr 22 2015 4:19:10:580PM_20150518_99991231_20150514_99991231_3"	"Route 4"	191.8018414633325	1.2786789430888832	8345	10	"270"	"LENNARD RD & MALELEUCA BLVD"	"07:22:00"	9899	11	"271"	"LENNARD RD & GRAND AVE"	"07:22:24"
296	"0700_Apr 22 2015 4:19:10:580PM_20150518_99991231_20150514_99991231_6"	"Route 4"	191.8018414633325	1.2786789430888832	8789	10	"270"	"LENNARD RD & MALELEUCA BLVD"	"07:22:00"	7908	11	"271"	"LENNARD RD & GRAND AVE"	"07:22:24"
295	"0700_Apr 22 2015 4:19:10:580PM_20150518_99991231_20150514_99991231_5"	"Route 4"	191.8018414633325	1.2786789430888832	9903	10	"270"	"LENNARD RD & MALELEUCA BLVD"	"07:22:00"	7907	11	"271"	"LENNARD RD & GRAND AVE"	"07:22:24"
411	"#5_2015-04-23T08:15:54_20150518_99991231_20150515_99991231_6"	"Route 6"	192.9184895184958	0.8038270396603991	3297	14	"286"	"AIROSO BLVD & LAKEHURST TERR"	"13:46:00"	6732	15	"287"	"AIROSO BLVD & EYERLY AVE"	"13:46:15"
410	"#5_2015-04-23T08:15:54_20150518_99991231_20150515_99991231_5"	"Route 6"	192.9184895184958	0.8038270396603991	9438	14	"286"	"AIROSO BLVD & LAKEHURST TERR"	"13:46:00"	3060	15	"287"	"AIROSO BLVD & EYERLY AVE"	"13:46:15"
409	"#5_2015-04-23T08:15:54_20150518_99991231_20150515_99991231_4"	"Route 6"	192.9184895184958	0.8038270396603991	6112	14	"286"	"AIROSO BLVD & LAKEHURST TERR"	"13:46:00"	7347	15	"287"	"AIROSO BLVD & EYERLY AVE"	"13:46:15"
408	"#5_2015-04-23T08:15:54_20150518_99991231_20150515_99991231_3"	"Route 6"	192.9184895184958	0.8038270396603991	3054	14	"286"	"AIROSO BLVD & LAKEHURST TERR"	"13:46:00"	3293	15	"287"	"AIROSO BLVD & EYERLY AVE"	"13:46:15"
407	"#5_2015-04-23T08:15:54_20150518_99991231_20150515_99991231_2"	"Route 6"	192.9184895184958	0.8038270396603991	7342	14	"286"	"AIROSO BLVD & LAKEHURST TERR"	"13:46:00"	6592	15	"287"	"AIROSO BLVD & EYERLY AVE"	"13:46:15"
368	"#1_2015-04-23T08:15:54_20150518_99991231_20150515_99991231_3"	"Route 6"	192.9184895184958	0.8038270396603991	1416	14	"286"	"AIROSO BLVD & LAKEHURST TERR"	"09:46:00"	2925	15	"287"	"AIROSO BLVD & EYERLY AVE"	"09:46:15"
369	"#1_2015-04-23T08:15:54_20150518_99991231_20150515_99991231_4"	"Route 6"	192.9184895184958	0.8038270396603991	2412	14	"286"	"AIROSO BLVD & LAKEHURST TERR"	"09:46:00"	8948	15	"287"	"AIROSO BLVD & EYERLY AVE"	"09:46:15"
370	"#1_2015-04-23T08:15:54_20150518_99991231_20150515_99991231_5"	"Route 6"	192.9184895184958	0.8038270396603991	1698	14	"286"	"AIROSO BLVD & LAKEHURST TERR"	"09:46:00"	1421	15	"287"	"AIROSO BLVD & EYERLY AVE"	"09:46:15"
371	"#1_2015-04-23T08:15:54_20150518_99991231_20150515_99991231_6"	"Route 6"	192.9184895184958	0.8038270396603991	1425	14	"286"	"AIROSO BLVD & LAKEHURST TERR"	"09:46:00"	1701	15	"287"	"AIROSO BLVD & EYERLY AVE"	"09:46:15"
367	"#1_2015-04-23T08:15:54_20150518_99991231_20150515_99991231_2"	"Route 6"	192.9184895184958	0.8038270396603991	8941	14	"286"	"AIROSO BLVD & LAKEHURST TERR"	"09:46:00"	8942	15	"287"	"AIROSO BLVD & EYERLY AVE"	"09:46:15"
390	"#3_2015-04-23T08:15:54_20150518_99991231_20150515_99991231_5"	"Route 6"	192.9184895184958	0.8038270396603991	2509	14	"286"	"AIROSO BLVD & LAKEHURST TERR"	"11:46:00"	4189	15	"287"	"AIROSO BLVD & EYERLY AVE"	"11:46:15"
391	"#3_2015-04-23T08:15:54_20150518_99991231_20150515_99991231_6"	"Route 6"	192.9184895184958	0.8038270396603991	5380	14	"286"	"AIROSO BLVD & LAKEHURST TERR"	"11:46:00"	5074	15	"287"	"AIROSO BLVD & EYERLY AVE"	"11:46:15"
387	"#3_2015-04-23T08:15:54_20150518_99991231_20150515_99991231_2"	"Route 6"	192.9184895184958	0.8038270396603991	5063	14	"286"	"AIROSO BLVD & LAKEHURST TERR"	"11:46:00"	3115	15	"287"	"AIROSO BLVD & EYERLY AVE"	"11:46:15"
388	"#3_2015-04-23T08:15:54_20150518_99991231_20150515_99991231_3"	"Route 6"	192.9184895184958	0.8038270396603991	2328	14	"286"	"AIROSO BLVD & LAKEHURST TERR"	"11:46:00"	3117	15	"287"	"AIROSO BLVD & EYERLY AVE"	"11:46:15"
389	"#3_2015-04-23T08:15:54_20150518_99991231_20150515_99991231_4"	"Route 6"	192.9184895184958	0.8038270396603991	5069	14	"286"	"AIROSO BLVD & LAKEHURST TERR"	"11:46:00"	5256	15	"287"	"AIROSO BLVD & EYERLY AVE"	"11:46:15"
266	"#4_2015-04-23T07:45:05_20150518_99991231_20150514_99991231_6"	"Route 4"	191.8018414633325	1.2786789430888832	5438	10	"270"	"LENNARD RD & MALELEUCA BLVD"	"12:22:00"	2709	11	"271"	"LENNARD RD & GRAND AVE"	"12:22:24"
265	"#4_2015-04-23T07:45:05_20150518_99991231_20150514_99991231_5"	"Route 4"	191.8018414633325	1.2786789430888832	6039	10	"270"	"LENNARD RD & MALELEUCA BLVD"	"12:22:00"	9300	11	"271"	"LENNARD RD & GRAND AVE"	"12:22:24"
264	"#4_2015-04-23T07:45:05_20150518_99991231_20150514_99991231_4"	"Route 4"	191.8018414633325	1.2786789430888832	5656	10	"270"	"LENNARD RD & MALELEUCA BLVD"	"12:22:00"	2522	11	"271"	"LENNARD RD & GRAND AVE"	"12:22:24"
263	"#4_2015-04-23T07:45:05_20150518_99991231_20150514_99991231_3"	"Route 4"	191.8018414633325	1.2786789430888832	6027	10	"270"	"LENNARD RD & MALELEUCA BLVD"	"12:22:00"	9294	11	"271"	"LENNARD RD & GRAND AVE"	"12:22:24"
262	"#4_2015-04-23T07:45:05_20150518_99991231_20150514_99991231_2"	"Route 4"	191.8018414633325	1.2786789430888832	2378	10	"270"	"LENNARD RD & MALELEUCA BLVD"	"12:22:00"	5650	11	"271"	"LENNARD RD & GRAND AVE"	"12:22:24"

leading_or_trailing_whitespaces WARNING 9985

leading_or_trailing_whitespaces

The value in CSV file has leading or trailing whitespaces.

This notice is emitted for values protected with double quotes since whitespaces for non-protected values are trimmed automatically by CSV parser.

The validator strips whitespaces from protected values. We do not see any use case when such a whitespace may be needed. On the other hand, some real-world feeds use trailing whitespaces for some values and omit them for the others. This is causing the largest problem when a primary key and a foreign key differ just by a whitespace: it is clear that they are intended to be the same, that is why we always strip whitespaces.

You can see more about this notice here.

Only the first 50 of 9985 affected records are displayed below.

filename (?) The name of the faulty file.	csvRowNumber (?) The row of the faulty record.	fieldName (?) Faulty record's field name.	fieldValue (?) Faulty value.
"stop_times.txt"	2	"trip_id"	"#0_2015-04-22T12:58:06_20150518_99991231_20150518_99991231_2 "
"stop_times.txt"	3	"trip_id"	"#0_2015-04-22T12:58:06_20150518_99991231_20150518_99991231_3 "
"stop_times.txt"	4	"trip_id"	"#0_2015-04-22T12:58:06_20150518_99991231_20150518_99991231_3 "
"stop_times.txt"	5	"trip_id"	"#0_2015-04-22T12:58:06_20150518_99991231_20150518_99991231_3 "
"stop_times.txt"	6	"trip_id"	"#0_2015-04-22T12:58:06_20150518_99991231_20150518_99991231_3 "
"stop_times.txt"	7	"trip_id"	"#0_2015-04-22T12:58:06_20150518_99991231_20150518_99991231_3 "
"stop_times.txt"	8	"trip_id"	"#0_2015-04-22T12:58:06_20150518_99991231_20150518_99991231_3 "
"stop_times.txt"	9	"trip_id"	"#0_2015-04-22T12:58:06_20150518_99991231_20150518_99991231_5 "
"stop_times.txt"	10	"trip_id"	"#0_2015-04-22T12:58:06_20150518_99991231_20150518_99991231_5 "
"stop_times.txt"	11	"trip_id"	"#0_2015-04-22T12:58:06_20150518_99991231_20150518_99991231_5 "
"stop_times.txt"	12	"trip_id"	"#0_2015-04-22T12:58:06_20150518_99991231_20150518_99991231_6 "
"stop_times.txt"	13	"trip_id"	"#0_2015-04-22T12:58:06_20150518_99991231_20150518_99991231_6 "
"stop_times.txt"	14	"trip_id"	"#0_2015-04-22T15:05:00_20150518_99991231_20150514_99991231_2 "
"stop_times.txt"	15	"trip_id"	"#0_2015-04-22T15:05:00_20150518_99991231_20150514_99991231_2 "
"stop_times.txt"	16	"trip_id"	"#0_2015-04-22T15:05:00_20150518_99991231_20150514_99991231_3 "
"stop_times.txt"	17	"trip_id"	"#0_2015-04-22T15:05:00_20150518_99991231_20150514_99991231_4 "
"stop_times.txt"	18	"trip_id"	"#0_2015-04-22T15:05:00_20150518_99991231_20150514_99991231_4 "
"stop_times.txt"	19	"trip_id"	"#0_2015-04-22T15:05:00_20150518_99991231_20150514_99991231_4 "
"stop_times.txt"	20	"trip_id"	"#0_2015-04-22T15:05:00_20150518_99991231_20150514_99991231_5 "
"stop_times.txt"	21	"trip_id"	"#0_2015-04-22T15:05:00_20150518_99991231_20150514_99991231_5 "
"stop_times.txt"	22	"trip_id"	"#0_2015-04-22T15:05:00_20150518_99991231_20150514_99991231_5 "
"stop_times.txt"	23	"trip_id"	"#0_2015-04-22T15:05:00_20150518_99991231_20150514_99991231_6 "
"stop_times.txt"	24	"trip_id"	"#0_2015-04-22T15:05:00_20150518_99991231_20150514_99991231_6 "
"stop_times.txt"	25	"trip_id"	"#0_2015-04-22T15:29:36_20150518_99991231_20150518_99991231_2 "
"stop_times.txt"	26	"trip_id"	"#0_2015-04-22T15:29:36_20150518_99991231_20150518_99991231_2 "
"stop_times.txt"	27	"trip_id"	"#0_2015-04-22T15:29:36_20150518_99991231_20150518_99991231_2 "
"stop_times.txt"	28	"trip_id"	"#0_2015-04-22T15:29:36_20150518_99991231_20150518_99991231_2 "
"stop_times.txt"	29	"trip_id"	"#0_2015-04-22T15:29:36_20150518_99991231_20150518_99991231_4 "
"stop_times.txt"	30	"trip_id"	"#0_2015-04-22T15:29:36_20150518_99991231_20150518_99991231_4 "
"stop_times.txt"	31	"trip_id"	"#0_2015-04-22T15:29:36_20150518_99991231_20150518_99991231_4 "
"stop_times.txt"	32	"trip_id"	"#0_2015-04-22T15:29:36_20150518_99991231_20150518_99991231_5 "
"stop_times.txt"	33	"trip_id"	"#0_2015-04-22T15:29:36_20150518_99991231_20150518_99991231_5 "
"stop_times.txt"	34	"trip_id"	"#0_2015-04-22T15:29:36_20150518_99991231_20150518_99991231_6 "
"stop_times.txt"	35	"trip_id"	"#0_2015-04-22T15:29:36_20150518_99991231_20150518_99991231_6 "
"stop_times.txt"	36	"trip_id"	"#0_2015-04-22T15:29:36_20150518_99991231_20150518_99991231_6 "
"stop_times.txt"	37	"trip_id"	"#0_2015-04-22T15:35:02_20150518_99991231_20150518_99991231_2 "
"stop_times.txt"	38	"trip_id"	"#0_2015-04-22T15:35:02_20150518_99991231_20150518_99991231_2 "
"stop_times.txt"	39	"trip_id"	"#0_2015-04-22T15:35:02_20150518_99991231_20150518_99991231_3 "
"stop_times.txt"	40	"trip_id"	"#0_2015-04-22T15:35:02_20150518_99991231_20150518_99991231_4 "
"stop_times.txt"	41	"trip_id"	"#0_2015-04-22T15:35:02_20150518_99991231_20150518_99991231_4 "
"stop_times.txt"	42	"trip_id"	"#0_2015-04-22T15:35:02_20150518_99991231_20150518_99991231_4 "
"stop_times.txt"	43	"trip_id"	"#0_2015-04-22T15:35:02_20150518_99991231_20150518_99991231_5 "
"stop_times.txt"	44	"trip_id"	"#0_2015-04-22T15:35:02_20150518_99991231_20150518_99991231_5 "
"stop_times.txt"	45	"trip_id"	"#0_2015-04-22T15:35:02_20150518_99991231_20150518_99991231_5 "
"stop_times.txt"	46	"trip_id"	"#0_2015-04-22T15:35:02_20150518_99991231_20150518_99991231_5 "
"stop_times.txt"	47	"trip_id"	"#0_2015-04-22T15:35:02_20150518_99991231_20150518_99991231_6 "
"stop_times.txt"	48	"trip_id"	"#0_2015-04-22T15:44:40_20150518_99991231_20150514_99991231_2 "
"stop_times.txt"	49	"trip_id"	"#0_2015-04-22T15:44:40_20150518_99991231_20150514_99991231_2 "
"stop_times.txt"	50	"trip_id"	"#0_2015-04-22T15:44:40_20150518_99991231_20150514_99991231_2 "
"stop_times.txt"	51	"trip_id"	"#0_2015-04-22T15:44:40_20150518_99991231_20150514_99991231_2 "

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 153

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 153 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"	"RM_FL_COASL"	2
"stops.txt"	"stop_name"	"TREASURE COAST SQUARE MALL"	2
"stops.txt"	"stop_name"	"JENNINGS RD"	4
"stops.txt"	"stop_name"	"TREASURE COAST MEDICAL BLDG"	5
"stops.txt"	"stop_name"	"MIDPORT 1 VILLAS - (NORTH)"	6
"stops.txt"	"stop_name"	"COUNTY ANNEX"	7
"stops.txt"	"stop_name"	"EASTPORT PLAZA"	8
"stops.txt"	"stop_name"	"SAVANNAH CLUB BLVD"	9
"stops.txt"	"stop_name"	"PRIMA VISTA CROSSING"	10
"stops.txt"	"stop_name"	"RIO MAR DR & US 1 - (NORTH)"	11
"stops.txt"	"stop_name"	"MIDWAY RD & US 1 - (NORTH)"	12
"stops.txt"	"stop_name"	"DICKSON DR"	13
"stops.txt"	"stop_name"	"EDWARDS RD"	14
"stops.txt"	"stop_name"	"JUANITA AVE & EAST 21ST CT"	15
"stops.txt"	"stop_name"	"CVS PHARMACY - VIRGINIA AVE"	16
"stops.txt"	"stop_name"	"ATLANTIC AVE"	17
"stops.txt"	"stop_name"	"FORT PIERCE INTERMODAL TRANSIT FACILITY"	18
"stops.txt"	"stop_name"	"BENTON BUILDING"	19
"stops.txt"	"stop_name"	"CASH AMERICA"	20
"stops.txt"	"stop_name"	"K-MART PLAZA"	21
"stops.txt"	"stop_name"	"SABAL PALM PLAZA"	22
"stops.txt"	"stop_name"	"TWIN VEE"	23
"stops.txt"	"stop_name"	"FARMERS MARKET"	24
"stops.txt"	"stop_name"	"MIDWAY RD & US 1 - (SOUTH)"	25
"stops.txt"	"stop_name"	"RIO MAR DR & US 1 - (SOUTH)"	26
"stops.txt"	"stop_name"	"TUMBLIN KLING RD - (SOUTH)"	27
"stops.txt"	"stop_name"	"CHASE BANK & S US 1"	28
"stops.txt"	"stop_name"	"SPANISH LAKES BLVD"	29
"stops.txt"	"stop_name"	"LA BUONA VITA BLVD"	30
"stops.txt"	"stop_name"	"MIDPORT 1 VILLAS - (SOUTH)"	31
"stops.txt"	"stop_name"	"CVS PHARMACY - (LYNGATE DR)"	32
"stops.txt"	"stop_name"	"TOWN CENTER STAPLES"	33
"stops.txt"	"stop_name"	"AVE D & N 16TH ST"	34
"stops.txt"	"stop_name"	"AVE D & N 24TH ST"	35
"stops.txt"	"stop_name"	"ZORA HURSTON LIBRARY"	36
"stops.txt"	"stop_name"	"AVE G & N 39TH ST"	37
"stops.txt"	"stop_name"	"AVE Q & N 49TH ST"	38
"stops.txt"	"stop_name"	"JUANITA AVE & N 53RD ST"	39
"stops.txt"	"stop_name"	"JUANITA AVE & N 47TH ST"	40
"stops.txt"	"stop_name"	"JUANITA AVE & ESSEX DR"	41
"stops.txt"	"stop_name"	"JUANITA AVE & EAST 21ST CT - (WEST)"	42
"stops.txt"	"stop_name"	"AVE Q & N 27TH ST"	43
"stops.txt"	"stop_name"	"AVE P & N 29TH ST"	44
"stops.txt"	"stop_name"	"AVE L & N 29TH ST"	45
"stops.txt"	"stop_name"	"AVE I & N 29TH ST"	46
"stops.txt"	"stop_name"	"AVE I & N 24TH ST"	47
"stops.txt"	"stop_name"	"AVE I & N 18TH ST"	48
"stops.txt"	"stop_name"	"AVE O & N 17TH ST"	49
"stops.txt"	"stop_name"	"AVE O & N 13TH ST"	50
"stops.txt"	"stop_name"	"AVE H & N 13TH ST"	51

stop_too_far_from_shape WARNING 4

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.
352	"Route 6"	"#0_2015-04-23T08:08:24_20150518_99991231_20150515_99991231_2"	496	"180"	"PSL COMMUNITY CENTER"	[27.276544570922848,-80.34195709228516]	109.28199802635085
297	"Route 5"	"#0_2015-04-23T07:56:06_20150518_99991231_20150514_99991231_2"	904	"180"	"PSL COMMUNITY CENTER"	[27.275983507644984,-80.3421039209314]	103.1829510494055
242	"Route 4"	"#0_2015-04-23T07:45:04_20150518_99991231_20150514_99991231_2"	835	"102"	"WALMART"	[27.26694398828955,-80.28603472881042]	140.9130191207208
187	"Route 3"	"#0_2015-04-22T15:44:40_20150518_99991231_20150514_99991231_2"	257	"168"	"VIRGINIA AVE & S 30TH ST - IRSC COLLEGE"	[27.425369973812668,-80.35570733240012]	100.07302550721847

stops_match_shape_out_of_order WARNING 3

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.
2	"Route 1"	"#0_2015-04-22T12:58:06_20150518_99991231_20150518_99991231_2"	207	"119"	"CASH AMERICA"	[27.444610314173797,-80.32588620236892]	206	"118"	"BENTON BUILDING"	[27.450328538924087,-80.32795719907044]
17	"Route 1"	"#0_2015-05-11T23:03:15_20150518_99991231_20150518_99991231_2"	1287	"119"	"CASH AMERICA"	[27.444610314173797,-80.32588620236892]	598	"118"	"BENTON BUILDING"	[27.450328538924087,-80.32795719907044]
32	"Route 1"	"#0_2015-05-11T23:04:05_20150518_99991231_20150515_99991231_2"	956	"131"	"TOWN CENTER STAPLES"	[27.2777214050293,-80.29361724853516]	2194	"130"	"CVS PHARMACY - (LYNGATE DR)"	[27.28668383416396,-80.29745412574475]

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.
"20260323"	"20150518"	"20151231"