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Source Data Validation Report

hanoi-gtfs — Source Data Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-03-27T22:25:29Z,
for the dataset file:///shared/hanoi-gtfs_937b7f3f.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included

Hanoi Bus GTFS
- website: https://www.arup.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:
2018-01-01 to 2018-12-31 (?) 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
routes.txt
stop_times.txt
stops.txt
trips.txt

Counts

Agencies: 1
Blocks: 0
Routes: 224
Shapes: 0
Stops: 7670
Trips: 13038

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

Specification Compliance report

873 notices reported (0 errors, 873 warnings, 0 infos)

Notice Code Severity Total

expired_calendar WARNING 1

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	"FULLW"

fast_travel_between_consecutive_stops WARNING 556

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 556 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.
2534	"25_2_MD_39"	"25_2"	334.0563617148904	5.382019160962123	81326	26	"25_2_S26"	"STOP_25_2_S26"	"16:27:50"	81327	27	"25_2_S27"	"STOP_25_2_S27"	"16:28:48"
10969	"25_2_PM_8"	"25_2"	334.0563617148904	5.382019160962123	363771	26	"25_2_S26"	"STOP_25_2_S26"	"18:07:50"	363772	27	"25_2_S27"	"STOP_25_2_S27"	"18:08:48"
12762	"100_1_PM_3"	"100_1"	162.83247767005932	1.944943483281264	423454	3	"100_1_S3"	"STOP_100_1_S3"	"17:01:26"	423455	4	"100_1_S4"	"STOP_100_1_S4"	"17:02:09"
2525	"25_2_MD_30"	"25_2"	334.0563617148904	5.382019160962123	81020	26	"25_2_S26"	"STOP_25_2_S26"	"14:57:50"	81021	27	"25_2_S27"	"STOP_25_2_S27"	"14:58:48"
1898	"20C_1_MD_5"	"20C_1"	720.0841059200307	0.6000700882666922	62799	18	"20C_1_S18"	"STOP_20C_1_S18"	"13:35:15"	62800	19	"20C_1_S19"	"STOP_20C_1_S19"	"13:35:18"
1898	"20C_1_MD_5"	"20C_1"	1221.382191489367	1.0178184929078058	62800	19	"20C_1_S19"	"STOP_20C_1_S19"	"13:35:18"	62801	20	"20C_1_S20"	"STOP_20C_1_S20"	"13:35:21"
1898	"20C_1_MD_5"	"20C_1"	1299.6940818665778	0.7220522677036544	62801	20	"20C_1_S20"	"STOP_20C_1_S20"	"13:35:21"	62802	21	"20C_1_S21"	"STOP_20C_1_S21"	"13:35:23"
1898	"20C_1_MD_5"	"20C_1"	2677.4589382545064	2.2312157818787552	62802	21	"20C_1_S21"	"STOP_20C_1_S21"	"13:35:23"	62803	22	"20C_1_S22"	"STOP_20C_1_S22"	"13:35:26"
1898	"20C_1_MD_5"	"20C_1"	1272.1408051228418	0.7067448917349121	62803	22	"20C_1_S22"	"STOP_20C_1_S22"	"13:35:26"	62804	23	"20C_1_S23"	"STOP_20C_1_S23"	"13:35:28"
1898	"20C_1_MD_5"	"20C_1"	986.6059099485465	0.8221715916237887	62804	23	"20C_1_S23"	"STOP_20C_1_S23"	"13:35:28"	62805	24	"20C_1_S24"	"STOP_20C_1_S24"	"13:35:31"
1898	"20C_1_MD_5"	"20C_1"	829.4318940346543	0.6911932450288786	62805	24	"20C_1_S24"	"STOP_20C_1_S24"	"13:35:31"	62806	25	"20C_1_S25"	"STOP_20C_1_S25"	"13:35:34"
1898	"20C_1_MD_5"	"20C_1"	712.438940477773	0.39579941137654057	62806	25	"20C_1_S25"	"STOP_20C_1_S25"	"13:35:34"	62807	26	"20C_1_S26"	"STOP_20C_1_S26"	"13:35:36"
1898	"20C_1_MD_5"	"20C_1"	1478.7829339329535	1.2323191116107945	62807	26	"20C_1_S26"	"STOP_20C_1_S26"	"13:35:36"	62808	27	"20C_1_S27"	"STOP_20C_1_S27"	"13:35:39"
1898	"20C_1_MD_5"	"20C_1"	770.1157059883257	0.6417630883236046	62808	27	"20C_1_S27"	"STOP_20C_1_S27"	"13:35:39"	62809	28	"20C_1_S28"	"STOP_20C_1_S28"	"13:35:42"
1898	"20C_1_MD_5"	"20C_1"	1059.7463903599337	0.5887479946444076	62809	28	"20C_1_S28"	"STOP_20C_1_S28"	"13:35:42"	62810	29	"20C_1_S29"	"STOP_20C_1_S29"	"13:35:44"
1898	"20C_1_MD_5"	"20C_1"	827.8175190895362	0.6898479325746134	62810	29	"20C_1_S29"	"STOP_20C_1_S29"	"13:35:44"	62811	30	"20C_1_S30"	"STOP_20C_1_S30"	"13:35:47"
1898	"20C_1_MD_5"	"20C_1"	1716.2802340260282	0.953489018903349	62811	30	"20C_1_S30"	"STOP_20C_1_S30"	"13:35:47"	62812	31	"20C_1_S31"	"STOP_20C_1_S31"	"13:35:49"
1898	"20C_1_MD_5"	"20C_1"	605.8940809119407	0.5049117340932839	62812	31	"20C_1_S31"	"STOP_20C_1_S31"	"13:35:49"	62813	32	"20C_1_S32"	"STOP_20C_1_S32"	"13:35:52"
1898	"20C_1_MD_5"	"20C_1"	3220.544677214893	2.6837872310124107	62813	32	"20C_1_S32"	"STOP_20C_1_S32"	"13:35:52"	62814	33	"20C_1_S33"	"STOP_20C_1_S33"	"13:35:55"
1898	"20C_1_MD_5"	"20C_1"	268.19111147635914	0.37248765482827656	62814	33	"20C_1_S33"	"STOP_20C_1_S33"	"13:35:55"	62815	34	"20C_1_S34"	"STOP_20C_1_S34"	"13:36:00"
7562	"20C_1_AM_1"	"20C_1"	720.0841059200307	0.6000700882666922	252229	18	"20C_1_S18"	"STOP_20C_1_S18"	"07:35:15"	252230	19	"20C_1_S19"	"STOP_20C_1_S19"	"07:35:18"
7562	"20C_1_AM_1"	"20C_1"	1221.382191489367	1.0178184929078058	252230	19	"20C_1_S19"	"STOP_20C_1_S19"	"07:35:18"	252231	20	"20C_1_S20"	"STOP_20C_1_S20"	"07:35:21"
7562	"20C_1_AM_1"	"20C_1"	1299.6940818665778	0.7220522677036544	252231	20	"20C_1_S20"	"STOP_20C_1_S20"	"07:35:21"	252232	21	"20C_1_S21"	"STOP_20C_1_S21"	"07:35:23"
7562	"20C_1_AM_1"	"20C_1"	2677.4589382545064	2.2312157818787552	252232	21	"20C_1_S21"	"STOP_20C_1_S21"	"07:35:23"	252233	22	"20C_1_S22"	"STOP_20C_1_S22"	"07:35:26"
7562	"20C_1_AM_1"	"20C_1"	1272.1408051228418	0.7067448917349121	252233	22	"20C_1_S22"	"STOP_20C_1_S22"	"07:35:26"	252234	23	"20C_1_S23"	"STOP_20C_1_S23"	"07:35:28"
7562	"20C_1_AM_1"	"20C_1"	986.6059099485465	0.8221715916237887	252234	23	"20C_1_S23"	"STOP_20C_1_S23"	"07:35:28"	252235	24	"20C_1_S24"	"STOP_20C_1_S24"	"07:35:31"
7562	"20C_1_AM_1"	"20C_1"	829.4318940346543	0.6911932450288786	252235	24	"20C_1_S24"	"STOP_20C_1_S24"	"07:35:31"	252236	25	"20C_1_S25"	"STOP_20C_1_S25"	"07:35:34"
7562	"20C_1_AM_1"	"20C_1"	712.438940477773	0.39579941137654057	252236	25	"20C_1_S25"	"STOP_20C_1_S25"	"07:35:34"	252237	26	"20C_1_S26"	"STOP_20C_1_S26"	"07:35:36"
7562	"20C_1_AM_1"	"20C_1"	1478.7829339329535	1.2323191116107945	252237	26	"20C_1_S26"	"STOP_20C_1_S26"	"07:35:36"	252238	27	"20C_1_S27"	"STOP_20C_1_S27"	"07:35:39"
7562	"20C_1_AM_1"	"20C_1"	770.1157059883257	0.6417630883236046	252238	27	"20C_1_S27"	"STOP_20C_1_S27"	"07:35:39"	252239	28	"20C_1_S28"	"STOP_20C_1_S28"	"07:35:42"
7562	"20C_1_AM_1"	"20C_1"	1059.7463903599337	0.5887479946444076	252239	28	"20C_1_S28"	"STOP_20C_1_S28"	"07:35:42"	252240	29	"20C_1_S29"	"STOP_20C_1_S29"	"07:35:44"
7562	"20C_1_AM_1"	"20C_1"	827.8175190895362	0.6898479325746134	252240	29	"20C_1_S29"	"STOP_20C_1_S29"	"07:35:44"	252241	30	"20C_1_S30"	"STOP_20C_1_S30"	"07:35:47"
7562	"20C_1_AM_1"	"20C_1"	1716.2802340260282	0.953489018903349	252241	30	"20C_1_S30"	"STOP_20C_1_S30"	"07:35:47"	252242	31	"20C_1_S31"	"STOP_20C_1_S31"	"07:35:49"
7562	"20C_1_AM_1"	"20C_1"	605.8940809119407	0.5049117340932839	252242	31	"20C_1_S31"	"STOP_20C_1_S31"	"07:35:49"	252243	32	"20C_1_S32"	"STOP_20C_1_S32"	"07:35:52"
7562	"20C_1_AM_1"	"20C_1"	3220.544677214893	2.6837872310124107	252243	32	"20C_1_S32"	"STOP_20C_1_S32"	"07:35:52"	252244	33	"20C_1_S33"	"STOP_20C_1_S33"	"07:35:55"
7562	"20C_1_AM_1"	"20C_1"	268.19111147635914	0.37248765482827656	252244	33	"20C_1_S33"	"STOP_20C_1_S33"	"07:35:55"	252245	34	"20C_1_S34"	"STOP_20C_1_S34"	"07:36:00"
10982	"25_2_PM_21"	"25_2"	334.0563617148904	5.382019160962123	364213	26	"25_2_S26"	"STOP_25_2_S26"	"20:17:50"	364214	27	"25_2_S27"	"STOP_25_2_S27"	"20:18:48"
2510	"25_2_MD_15"	"25_2"	334.0563617148904	5.382019160962123	80510	26	"25_2_S26"	"STOP_25_2_S26"	"12:27:50"	80511	27	"25_2_S27"	"STOP_25_2_S27"	"12:28:48"
10671	"20C_1_PM_5"	"20C_1"	720.0841059200307	0.6000700882666922	355144	18	"20C_1_S18"	"STOP_20C_1_S18"	"20:25:15"	355145	19	"20C_1_S19"	"STOP_20C_1_S19"	"20:25:18"
10671	"20C_1_PM_5"	"20C_1"	1221.382191489367	1.0178184929078058	355145	19	"20C_1_S19"	"STOP_20C_1_S19"	"20:25:18"	355146	20	"20C_1_S20"	"STOP_20C_1_S20"	"20:25:21"
10671	"20C_1_PM_5"	"20C_1"	1299.6940818665778	0.7220522677036544	355146	20	"20C_1_S20"	"STOP_20C_1_S20"	"20:25:21"	355147	21	"20C_1_S21"	"STOP_20C_1_S21"	"20:25:23"
10671	"20C_1_PM_5"	"20C_1"	2677.4589382545064	2.2312157818787552	355147	21	"20C_1_S21"	"STOP_20C_1_S21"	"20:25:23"	355148	22	"20C_1_S22"	"STOP_20C_1_S22"	"20:25:26"
10671	"20C_1_PM_5"	"20C_1"	1272.1408051228418	0.7067448917349121	355148	22	"20C_1_S22"	"STOP_20C_1_S22"	"20:25:26"	355149	23	"20C_1_S23"	"STOP_20C_1_S23"	"20:25:28"
10671	"20C_1_PM_5"	"20C_1"	986.6059099485465	0.8221715916237887	355149	23	"20C_1_S23"	"STOP_20C_1_S23"	"20:25:28"	355150	24	"20C_1_S24"	"STOP_20C_1_S24"	"20:25:31"
10671	"20C_1_PM_5"	"20C_1"	829.4318940346543	0.6911932450288786	355150	24	"20C_1_S24"	"STOP_20C_1_S24"	"20:25:31"	355151	25	"20C_1_S25"	"STOP_20C_1_S25"	"20:25:34"
10671	"20C_1_PM_5"	"20C_1"	712.438940477773	0.39579941137654057	355151	25	"20C_1_S25"	"STOP_20C_1_S25"	"20:25:34"	355152	26	"20C_1_S26"	"STOP_20C_1_S26"	"20:25:36"
10671	"20C_1_PM_5"	"20C_1"	1478.7829339329535	1.2323191116107945	355152	26	"20C_1_S26"	"STOP_20C_1_S26"	"20:25:36"	355153	27	"20C_1_S27"	"STOP_20C_1_S27"	"20:25:39"
10671	"20C_1_PM_5"	"20C_1"	770.1157059883257	0.6417630883236046	355153	27	"20C_1_S27"	"STOP_20C_1_S27"	"20:25:39"	355154	28	"20C_1_S28"	"STOP_20C_1_S28"	"20:25:42"
10671	"20C_1_PM_5"	"20C_1"	1059.7463903599337	0.5887479946444076	355154	28	"20C_1_S28"	"STOP_20C_1_S28"	"20:25:42"	355155	29	"20C_1_S29"	"STOP_20C_1_S29"	"20:25:44"
10671	"20C_1_PM_5"	"20C_1"	827.8175190895362	0.6898479325746134	355155	29	"20C_1_S29"	"STOP_20C_1_S29"	"20:25:44"	355156	30	"20C_1_S30"	"STOP_20C_1_S30"	"20:25:47"

fast_travel_between_far_stops WARNING 44

fast_travel_between_far_stops

A transit vehicle moves too fast between two far stops.

Two stops are considered "far" if they are more than 10 km apart. This normally indicates a more serious problem than too fast travel between consecutive stops.

The speed threshold depends on route type and are the same as fast_travel_between_consecutive_stops.

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.
1898	"20C_1_MD_5"	"20C_1"	1163.2211884883752	10.339743897674447	62799	18	"20C_1_S18"	"STOP_20C_1_S18"	"13:35:15"	62811	30	"20C_1_S30"	"STOP_20C_1_S30"	"13:35:47"
7562	"20C_1_AM_1"	"20C_1"	1163.2211884883752	10.339743897674447	252229	18	"20C_1_S18"	"STOP_20C_1_S18"	"07:35:15"	252241	30	"20C_1_S30"	"STOP_20C_1_S30"	"07:35:47"
10671	"20C_1_PM_5"	"20C_1"	1163.2211884883752	10.339743897674447	355144	18	"20C_1_S18"	"STOP_20C_1_S18"	"20:25:15"	355156	30	"20C_1_S30"	"STOP_20C_1_S30"	"20:25:47"
1899	"20C_1_MD_6"	"20C_1"	1163.2211884883752	10.339743897674447	62833	18	"20C_1_S18"	"STOP_20C_1_S18"	"14:20:15"	62845	30	"20C_1_S30"	"STOP_20C_1_S30"	"14:20:47"
1905	"20C_2_MD_1"	"20C_2"	12543.519612274862	10.452933010229053	63038	19	"20C_2_S19"	"STOP_20C_2_S19"	"10:37:17"	63051	32	"20C_2_S32"	"STOP_20C_2_S32"	"10:37:20"
7571	"20C_2_AM_5"	"20C_2"	12543.519612274862	10.452933010229053	252532	19	"20C_2_S19"	"STOP_20C_2_S19"	"10:37:17"	252545	32	"20C_2_S32"	"STOP_20C_2_S32"	"10:37:20"
1904	"20C_1_MD_11"	"20C_1"	1163.2211884883752	10.339743897674447	63003	18	"20C_1_S18"	"STOP_20C_1_S18"	"18:05:15"	63015	30	"20C_1_S30"	"STOP_20C_1_S30"	"18:05:47"
7566	"20C_1_AM_5"	"20C_1"	1163.2211884883752	10.339743897674447	252365	18	"20C_1_S18"	"STOP_20C_1_S18"	"10:35:15"	252377	30	"20C_1_S30"	"STOP_20C_1_S30"	"10:35:47"
1894	"20C_1_MD_1"	"20C_1"	1163.2211884883752	10.339743897674447	62663	18	"20C_1_S18"	"STOP_20C_1_S18"	"10:35:15"	62675	30	"20C_1_S30"	"STOP_20C_1_S30"	"10:35:47"
10676	"20C_2_PM_4"	"20C_2"	12543.519612274862	10.452933010229053	355312	19	"20C_2_S19"	"STOP_20C_2_S19"	"19:42:17"	355325	32	"20C_2_S32"	"STOP_20C_2_S32"	"19:42:20"
1902	"20C_1_MD_9"	"20C_1"	1163.2211884883752	10.339743897674447	62935	18	"20C_1_S18"	"STOP_20C_1_S18"	"16:35:15"	62947	30	"20C_1_S30"	"STOP_20C_1_S30"	"16:35:47"
7567	"20C_2_AM_1"	"20C_2"	12543.519612274862	10.452933010229053	252400	19	"20C_2_S19"	"STOP_20C_2_S19"	"07:37:17"	252413	32	"20C_2_S32"	"STOP_20C_2_S32"	"07:37:20"
1910	"20C_2_MD_6"	"20C_2"	12543.519612274862	10.452933010229053	63203	19	"20C_2_S19"	"STOP_20C_2_S19"	"14:22:17"	63216	32	"20C_2_S32"	"STOP_20C_2_S32"	"14:22:20"
1914	"20C_2_MD_10"	"20C_2"	12543.519612274862	10.452933010229053	63335	19	"20C_2_S19"	"STOP_20C_2_S19"	"17:22:17"	63348	32	"20C_2_S32"	"STOP_20C_2_S32"	"17:22:20"
1901	"20C_1_MD_8"	"20C_1"	1163.2211884883752	10.339743897674447	62901	18	"20C_1_S18"	"STOP_20C_1_S18"	"15:50:15"	62913	30	"20C_1_S30"	"STOP_20C_1_S30"	"15:50:47"
7565	"20C_1_AM_4"	"20C_1"	1163.2211884883752	10.339743897674447	252331	18	"20C_1_S18"	"STOP_20C_1_S18"	"09:50:15"	252343	30	"20C_1_S30"	"STOP_20C_1_S30"	"09:50:47"
1908	"20C_2_MD_4"	"20C_2"	12543.519612274862	10.452933010229053	63137	19	"20C_2_S19"	"STOP_20C_2_S19"	"12:52:17"	63150	32	"20C_2_S32"	"STOP_20C_2_S32"	"12:52:20"
7569	"20C_2_AM_3"	"20C_2"	12543.519612274862	10.452933010229053	252466	19	"20C_2_S19"	"STOP_20C_2_S19"	"09:07:17"	252479	32	"20C_2_S32"	"STOP_20C_2_S32"	"09:07:20"
7568	"20C_2_AM_2"	"20C_2"	12543.519612274862	10.452933010229053	252433	19	"20C_2_S19"	"STOP_20C_2_S19"	"08:22:17"	252446	32	"20C_2_S32"	"STOP_20C_2_S32"	"08:22:20"
1915	"20C_2_MD_11"	"20C_2"	12543.519612274862	10.452933010229053	63368	19	"20C_2_S19"	"STOP_20C_2_S19"	"18:07:17"	63381	32	"20C_2_S32"	"STOP_20C_2_S32"	"18:07:20"
1911	"20C_2_MD_7"	"20C_2"	12543.519612274862	10.452933010229053	63236	19	"20C_2_S19"	"STOP_20C_2_S19"	"15:07:17"	63249	32	"20C_2_S32"	"STOP_20C_2_S32"	"15:07:20"
1897	"20C_1_MD_4"	"20C_1"	1163.2211884883752	10.339743897674447	62765	18	"20C_1_S18"	"STOP_20C_1_S18"	"12:50:15"	62777	30	"20C_1_S30"	"STOP_20C_1_S30"	"12:50:47"
1896	"20C_1_MD_3"	"20C_1"	1163.2211884883752	10.339743897674447	62731	18	"20C_1_S18"	"STOP_20C_1_S18"	"12:05:15"	62743	30	"20C_1_S30"	"STOP_20C_1_S30"	"12:05:47"
7564	"20C_1_AM_3"	"20C_1"	1163.2211884883752	10.339743897674447	252297	18	"20C_1_S18"	"STOP_20C_1_S18"	"09:05:15"	252309	30	"20C_1_S30"	"STOP_20C_1_S30"	"09:05:47"
10674	"20C_2_PM_2"	"20C_2"	12543.519612274862	10.452933010229053	355246	19	"20C_2_S19"	"STOP_20C_2_S19"	"18:12:17"	355259	32	"20C_2_S32"	"STOP_20C_2_S32"	"18:12:20"
7563	"20C_1_AM_2"	"20C_1"	1163.2211884883752	10.339743897674447	252263	18	"20C_1_S18"	"STOP_20C_1_S18"	"08:20:15"	252275	30	"20C_1_S30"	"STOP_20C_1_S30"	"08:20:47"
10668	"20C_1_PM_2"	"20C_1"	1163.2211884883752	10.339743897674447	355042	18	"20C_1_S18"	"STOP_20C_1_S18"	"18:10:15"	355054	30	"20C_1_S30"	"STOP_20C_1_S30"	"18:10:47"
7570	"20C_2_AM_4"	"20C_2"	12543.519612274862	10.452933010229053	252499	19	"20C_2_S19"	"STOP_20C_2_S19"	"09:52:17"	252512	32	"20C_2_S32"	"STOP_20C_2_S32"	"09:52:20"
10673	"20C_2_PM_1"	"20C_2"	12543.519612274862	10.452933010229053	355213	19	"20C_2_S19"	"STOP_20C_2_S19"	"17:27:17"	355226	32	"20C_2_S32"	"STOP_20C_2_S32"	"17:27:20"
10678	"20C_2_PM_6"	"20C_2"	12543.519612274862	10.452933010229053	355378	19	"20C_2_S19"	"STOP_20C_2_S19"	"21:12:17"	355391	32	"20C_2_S32"	"STOP_20C_2_S32"	"21:12:20"
10667	"20C_1_PM_1"	"20C_1"	1163.2211884883752	10.339743897674447	355008	18	"20C_1_S18"	"STOP_20C_1_S18"	"17:25:15"	355020	30	"20C_1_S30"	"STOP_20C_1_S30"	"17:25:47"
10670	"20C_1_PM_4"	"20C_1"	1163.2211884883752	10.339743897674447	355110	18	"20C_1_S18"	"STOP_20C_1_S18"	"19:40:15"	355122	30	"20C_1_S30"	"STOP_20C_1_S30"	"19:40:47"
1909	"20C_2_MD_5"	"20C_2"	12543.519612274862	10.452933010229053	63170	19	"20C_2_S19"	"STOP_20C_2_S19"	"13:37:17"	63183	32	"20C_2_S32"	"STOP_20C_2_S32"	"13:37:20"
10675	"20C_2_PM_3"	"20C_2"	12543.519612274862	10.452933010229053	355279	19	"20C_2_S19"	"STOP_20C_2_S19"	"18:57:17"	355292	32	"20C_2_S32"	"STOP_20C_2_S32"	"18:57:20"
1906	"20C_2_MD_2"	"20C_2"	12543.519612274862	10.452933010229053	63071	19	"20C_2_S19"	"STOP_20C_2_S19"	"11:22:17"	63084	32	"20C_2_S32"	"STOP_20C_2_S32"	"11:22:20"
10677	"20C_2_PM_5"	"20C_2"	12543.519612274862	10.452933010229053	355345	19	"20C_2_S19"	"STOP_20C_2_S19"	"20:27:17"	355358	32	"20C_2_S32"	"STOP_20C_2_S32"	"20:27:20"
1912	"20C_2_MD_8"	"20C_2"	12543.519612274862	10.452933010229053	63269	19	"20C_2_S19"	"STOP_20C_2_S19"	"15:52:17"	63282	32	"20C_2_S32"	"STOP_20C_2_S32"	"15:52:20"
1900	"20C_1_MD_7"	"20C_1"	1163.2211884883752	10.339743897674447	62867	18	"20C_1_S18"	"STOP_20C_1_S18"	"15:05:15"	62879	30	"20C_1_S30"	"STOP_20C_1_S30"	"15:05:47"
1913	"20C_2_MD_9"	"20C_2"	12543.519612274862	10.452933010229053	63302	19	"20C_2_S19"	"STOP_20C_2_S19"	"16:37:17"	63315	32	"20C_2_S32"	"STOP_20C_2_S32"	"16:37:20"
10672	"20C_1_PM_6"	"20C_1"	1163.2211884883752	10.339743897674447	355178	18	"20C_1_S18"	"STOP_20C_1_S18"	"21:10:15"	355190	30	"20C_1_S30"	"STOP_20C_1_S30"	"21:10:47"
1895	"20C_1_MD_2"	"20C_1"	1163.2211884883752	10.339743897674447	62697	18	"20C_1_S18"	"STOP_20C_1_S18"	"11:20:15"	62709	30	"20C_1_S30"	"STOP_20C_1_S30"	"11:20:47"
10669	"20C_1_PM_3"	"20C_1"	1163.2211884883752	10.339743897674447	355076	18	"20C_1_S18"	"STOP_20C_1_S18"	"18:55:15"	355088	30	"20C_1_S30"	"STOP_20C_1_S30"	"18:55:47"
1903	"20C_1_MD_10"	"20C_1"	1163.2211884883752	10.339743897674447	62969	18	"20C_1_S18"	"STOP_20C_1_S18"	"17:20:15"	62981	30	"20C_1_S30"	"STOP_20C_1_S30"	"17:20:47"
1907	"20C_2_MD_3"	"20C_2"	12543.519612274862	10.452933010229053	63104	19	"20C_2_S19"	"STOP_20C_2_S19"	"12:07:17"	63117	32	"20C_2_S32"	"STOP_20C_2_S32"	"12:07:20"

missing_recommended_field WARNING 224

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.

Only the first 50 of 224 affected records are displayed below.

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"
"routes.txt"	18	"agency_id"
"routes.txt"	19	"agency_id"
"routes.txt"	20	"agency_id"
"routes.txt"	21	"agency_id"
"routes.txt"	22	"agency_id"
"routes.txt"	23	"agency_id"
"routes.txt"	24	"agency_id"
"routes.txt"	25	"agency_id"
"routes.txt"	26	"agency_id"
"routes.txt"	27	"agency_id"
"routes.txt"	28	"agency_id"
"routes.txt"	29	"agency_id"
"routes.txt"	30	"agency_id"
"routes.txt"	31	"agency_id"
"routes.txt"	32	"agency_id"
"routes.txt"	33	"agency_id"
"routes.txt"	34	"agency_id"
"routes.txt"	35	"agency_id"
"routes.txt"	36	"agency_id"
"routes.txt"	37	"agency_id"
"routes.txt"	38	"agency_id"
"routes.txt"	39	"agency_id"
"routes.txt"	40	"agency_id"
"routes.txt"	41	"agency_id"
"routes.txt"	42	"agency_id"
"routes.txt"	43	"agency_id"
"routes.txt"	44	"agency_id"
"routes.txt"	45	"agency_id"
"routes.txt"	46	"agency_id"
"routes.txt"	47	"agency_id"
"routes.txt"	48	"agency_id"
"routes.txt"	49	"agency_id"
"routes.txt"	50	"agency_id"
"routes.txt"	51	"agency_id"

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 46

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"	"STOP_BRT01_1_S1"	7626
"stops.txt"	"stop_name"	"STOP_BRT01_1_S2"	7627
"stops.txt"	"stop_name"	"STOP_BRT01_1_S3"	7628
"stops.txt"	"stop_name"	"STOP_BRT01_1_S4"	7629
"stops.txt"	"stop_name"	"STOP_BRT01_1_S5"	7630
"stops.txt"	"stop_name"	"STOP_BRT01_1_S6"	7631
"stops.txt"	"stop_name"	"STOP_BRT01_1_S7"	7632
"stops.txt"	"stop_name"	"STOP_BRT01_1_S8"	7633
"stops.txt"	"stop_name"	"STOP_BRT01_1_S9"	7634
"stops.txt"	"stop_name"	"STOP_BRT01_1_S10"	7635
"stops.txt"	"stop_name"	"STOP_BRT01_1_S11"	7636
"stops.txt"	"stop_name"	"STOP_BRT01_1_S12"	7637
"stops.txt"	"stop_name"	"STOP_BRT01_1_S13"	7638
"stops.txt"	"stop_name"	"STOP_BRT01_1_S14"	7639
"stops.txt"	"stop_name"	"STOP_BRT01_1_S15"	7640
"stops.txt"	"stop_name"	"STOP_BRT01_1_S16"	7641
"stops.txt"	"stop_name"	"STOP_BRT01_1_S17"	7642
"stops.txt"	"stop_name"	"STOP_BRT01_1_S18"	7643
"stops.txt"	"stop_name"	"STOP_BRT01_1_S19"	7644
"stops.txt"	"stop_name"	"STOP_BRT01_1_S20"	7645
"stops.txt"	"stop_name"	"STOP_BRT01_1_S21"	7646
"stops.txt"	"stop_name"	"STOP_BRT01_1_S22"	7647
"stops.txt"	"stop_name"	"STOP_BRT01_1_S23"	7648
"stops.txt"	"stop_name"	"STOP_BRT01_2_S1"	7649
"stops.txt"	"stop_name"	"STOP_BRT01_2_S2"	7650
"stops.txt"	"stop_name"	"STOP_BRT01_2_S3"	7651
"stops.txt"	"stop_name"	"STOP_BRT01_2_S4"	7652
"stops.txt"	"stop_name"	"STOP_BRT01_2_S5"	7653
"stops.txt"	"stop_name"	"STOP_BRT01_2_S6"	7654
"stops.txt"	"stop_name"	"STOP_BRT01_2_S7"	7655
"stops.txt"	"stop_name"	"STOP_BRT01_2_S8"	7656
"stops.txt"	"stop_name"	"STOP_BRT01_2_S9"	7657
"stops.txt"	"stop_name"	"STOP_BRT01_2_S10"	7658
"stops.txt"	"stop_name"	"STOP_BRT01_2_S11"	7659
"stops.txt"	"stop_name"	"STOP_BRT01_2_S12"	7660
"stops.txt"	"stop_name"	"STOP_BRT01_2_S13"	7661
"stops.txt"	"stop_name"	"STOP_BRT01_2_S14"	7662
"stops.txt"	"stop_name"	"STOP_BRT01_2_S15"	7663
"stops.txt"	"stop_name"	"STOP_BRT01_2_S16"	7664
"stops.txt"	"stop_name"	"STOP_BRT01_2_S17"	7665
"stops.txt"	"stop_name"	"STOP_BRT01_2_S18"	7666
"stops.txt"	"stop_name"	"STOP_BRT01_2_S19"	7667
"stops.txt"	"stop_name"	"STOP_BRT01_2_S20"	7668
"stops.txt"	"stop_name"	"STOP_BRT01_2_S21"	7669
"stops.txt"	"stop_name"	"STOP_BRT01_2_S22"	7670
"stops.txt"	"stop_name"	"STOP_BRT01_2_S23"	7671

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.
"20260327"	"20180101"	"20181231"