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Enhanced Validation Report

delhi-metro — Enhanced Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-04-17T18:06:00Z,
for the dataset file:///shared/delhi-metro_278ceb79.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included

Delhi Metro Rail Corporation
- website: http://www.delhimetrorail.com/
- phone number:
- email: Not provided

Feed Info

Publisher Name:
Busmaps.com: Publisher URL:
https://busmaps.com: Feed Language:
Hindi: Feed Start Date:
2019-01-01: Feed End Date:
2025-12-31: Service Window:
2019-01-01 to 2025-12-31 (?) 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
feed_info.txt
routes.txt
shapes.txt
stop_times.txt
stops.txt
trips.txt

Counts

Agencies: 1
Blocks: 0
Routes: 36
Shapes: 36
Stops: 261
Trips: 5438

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

Shapes Feed Information Headsigns Stops Wheelchair Accessibility Trips Wheelchair Accessibility Bike Allowed Location Types

Specification Compliance report

287 notices reported (0 errors, 287 warnings, 0 infos)

Notice Code Severity Total

expired_calendar WARNING 2

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	"2458-saturday"
3	"2458-weekday"

fast_travel_between_consecutive_stops WARNING 257

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 257 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.
164	"2458-10257"	"2458-20"	157.89207288155598	5.833234914790818	5431	3	"2458-39"	"Jahangirpuri"	"12:07:13"	5432	4	"2458-40"	"Adarsh Nagar"	"12:09:26"
289	"2458-1037"	"2458-2"	157.89207288155598	5.833234914790818	10069	32	"2458-40"	"Adarsh Nagar"	"22:56:27"	10070	33	"2458-39"	"Jahangirpuri"	"22:58:40"
140	"2458-10235"	"2458-20"	157.89207288155598	5.833234914790818	4543	3	"2458-39"	"Jahangirpuri"	"10:18:41"	4544	4	"2458-40"	"Adarsh Nagar"	"10:20:54"
166	"2458-10259"	"2458-20"	157.89207288155598	5.833234914790818	5505	3	"2458-39"	"Jahangirpuri"	"12:17:53"	5506	4	"2458-40"	"Adarsh Nagar"	"12:20:06"
244	"2458-10329"	"2458-20"	157.89207288155598	5.833234914790818	8375	3	"2458-39"	"Jahangirpuri"	"18:44:01"	8376	4	"2458-40"	"Adarsh Nagar"	"18:46:14"
181	"2458-10272"	"2458-20"	157.89207288155598	5.833234914790818	6060	3	"2458-39"	"Jahangirpuri"	"13:32:25"	6061	4	"2458-40"	"Adarsh Nagar"	"13:34:38"
266	"2458-10349"	"2458-20"	157.89207288155598	5.833234914790818	9189	3	"2458-39"	"Jahangirpuri"	"20:22:41"	9190	4	"2458-40"	"Adarsh Nagar"	"20:24:54"
158	"2458-10251"	"2458-20"	157.89207288155598	5.833234914790818	5209	3	"2458-39"	"Jahangirpuri"	"11:37:37"	5210	4	"2458-40"	"Adarsh Nagar"	"11:39:50"
73	"2458-1008"	"2458-2"	157.89207288155598	5.833234914790818	2125	32	"2458-40"	"Adarsh Nagar"	"20:29:23"	2126	33	"2458-39"	"Jahangirpuri"	"20:31:36"
313	"2458-1047"	"2458-2"	157.89207288155598	5.833234914790818	10941	32	"2458-40"	"Adarsh Nagar"	"23:53:47"	10942	33	"2458-39"	"Jahangirpuri"	"23:56:00"
236	"2458-10321"	"2458-20"	157.89207288155598	5.833234914790818	8079	3	"2458-39"	"Jahangirpuri"	"18:04:33"	8080	4	"2458-40"	"Adarsh Nagar"	"18:06:46"
103	"2458-10201"	"2458-20"	157.89207288155598	5.833234914790818	3174	3	"2458-39"	"Jahangirpuri"	"07:24:33"	3175	4	"2458-40"	"Adarsh Nagar"	"07:26:46"
88	"2458-10189"	"2458-20"	157.89207288155598	5.833234914790818	2635	3	"2458-39"	"Jahangirpuri"	"06:15:45"	2636	4	"2458-40"	"Adarsh Nagar"	"06:17:58"
148	"2458-10242"	"2458-20"	157.89207288155598	5.833234914790818	4839	3	"2458-39"	"Jahangirpuri"	"10:53:13"	4840	4	"2458-40"	"Adarsh Nagar"	"10:55:26"
168	"2458-10260"	"2458-20"	157.89207288155598	5.833234914790818	5579	3	"2458-39"	"Jahangirpuri"	"12:23:37"	5580	4	"2458-40"	"Adarsh Nagar"	"12:25:50"
225	"2458-10311"	"2458-20"	157.89207288155598	5.833234914790818	7672	3	"2458-39"	"Jahangirpuri"	"17:15:13"	7673	4	"2458-40"	"Adarsh Nagar"	"17:17:26"
252	"2458-10336"	"2458-20"	157.89207288155598	5.833234914790818	8671	3	"2458-39"	"Jahangirpuri"	"19:18:33"	8672	4	"2458-40"	"Adarsh Nagar"	"19:20:46"
155	"2458-10249"	"2458-20"	157.89207288155598	5.833234914790818	5098	3	"2458-39"	"Jahangirpuri"	"11:27:45"	5099	4	"2458-40"	"Adarsh Nagar"	"11:29:58"
319	"2458-1052"	"2458-2"	157.89207288155598	5.833234914790818	11147	32	"2458-40"	"Adarsh Nagar"	"24:22:27"	11148	33	"2458-39"	"Jahangirpuri"	"24:24:40"
304	"2458-1039"	"2458-2"	157.89207288155598	5.833234914790818	10624	32	"2458-40"	"Adarsh Nagar"	"23:07:55"	10625	33	"2458-39"	"Jahangirpuri"	"23:10:08"
92	"2458-10192"	"2458-20"	157.89207288155598	5.833234914790818	2783	3	"2458-39"	"Jahangirpuri"	"06:32:57"	2784	4	"2458-40"	"Adarsh Nagar"	"06:35:10"
326	"2458-1059"	"2458-2"	157.89207288155598	5.833234914790818	11406	32	"2458-40"	"Adarsh Nagar"	"25:02:35"	11407	33	"2458-39"	"Jahangirpuri"	"25:04:48"
187	"2458-10278"	"2458-20"	157.89207288155598	5.833234914790818	6282	3	"2458-39"	"Jahangirpuri"	"14:06:49"	6283	4	"2458-40"	"Adarsh Nagar"	"14:09:02"
300	"2458-1038"	"2458-2"	157.89207288155598	5.833234914790818	10476	32	"2458-40"	"Adarsh Nagar"	"23:02:11"	10477	33	"2458-39"	"Jahangirpuri"	"23:04:24"
108	"2458-10206"	"2458-20"	157.89207288155598	5.833234914790818	3359	3	"2458-39"	"Jahangirpuri"	"07:53:13"	3360	4	"2458-40"	"Adarsh Nagar"	"07:55:26"
265	"2458-10348"	"2458-20"	157.89207288155598	5.833234914790818	9152	3	"2458-39"	"Jahangirpuri"	"20:17:45"	9153	4	"2458-40"	"Adarsh Nagar"	"20:19:58"
249	"2458-10333"	"2458-20"	157.89207288155598	5.833234914790818	8560	3	"2458-39"	"Jahangirpuri"	"19:03:45"	8561	4	"2458-40"	"Adarsh Nagar"	"19:05:58"
186	"2458-10277"	"2458-20"	157.89207288155598	5.833234914790818	6245	3	"2458-39"	"Jahangirpuri"	"14:01:05"	6246	4	"2458-40"	"Adarsh Nagar"	"14:03:18"
212	"2458-1030"	"2458-2"	157.89207288155598	5.833234914790818	7220	32	"2458-40"	"Adarsh Nagar"	"22:17:55"	7221	33	"2458-39"	"Jahangirpuri"	"22:20:08"
87	"2458-10188"	"2458-20"	157.89207288155598	5.833234914790818	2598	3	"2458-39"	"Jahangirpuri"	"06:10:01"	2599	4	"2458-40"	"Adarsh Nagar"	"06:12:14"
303	"2458-10382"	"2458-20"	157.89207288155598	5.833234914790818	10558	3	"2458-39"	"Jahangirpuri"	"23:23:53"	10559	4	"2458-40"	"Adarsh Nagar"	"23:26:06"
17	"2458-1001"	"2458-2"	157.89207288155598	5.833234914790818	445	32	"2458-40"	"Adarsh Nagar"	"19:54:51"	446	33	"2458-39"	"Jahangirpuri"	"19:57:04"
317	"2458-1050"	"2458-2"	157.89207288155598	5.833234914790818	11073	32	"2458-40"	"Adarsh Nagar"	"24:10:59"	11074	33	"2458-39"	"Jahangirpuri"	"24:13:12"
269	"2458-10351"	"2458-20"	157.89207288155598	5.833234914790818	9300	3	"2458-39"	"Jahangirpuri"	"20:32:33"	9301	4	"2458-40"	"Adarsh Nagar"	"20:34:46"
199	"2458-10289"	"2458-20"	157.89207288155598	5.833234914790818	6726	3	"2458-39"	"Jahangirpuri"	"15:09:53"	6727	4	"2458-40"	"Adarsh Nagar"	"15:12:06"
285	"2458-10366"	"2458-20"	157.89207288155598	5.833234914790818	9892	3	"2458-39"	"Jahangirpuri"	"21:52:09"	9893	4	"2458-40"	"Adarsh Nagar"	"21:54:22"
267	"2458-1035"	"2458-2"	157.89207288155598	5.833234914790818	9255	32	"2458-40"	"Adarsh Nagar"	"22:44:59"	9256	33	"2458-39"	"Jahangirpuri"	"22:47:12"
131	"2458-10227"	"2458-20"	157.89207288155598	5.833234914790818	4210	3	"2458-39"	"Jahangirpuri"	"09:39:13"	4211	4	"2458-40"	"Adarsh Nagar"	"09:41:26"
320	"2458-1053"	"2458-2"	157.89207288155598	5.833234914790818	11184	32	"2458-40"	"Adarsh Nagar"	"24:28:11"	11185	33	"2458-39"	"Jahangirpuri"	"24:30:24"
200	"2458-1029"	"2458-2"	157.89207288155598	5.833234914790818	6792	32	"2458-40"	"Adarsh Nagar"	"22:12:59"	6793	33	"2458-39"	"Jahangirpuri"	"22:15:12"
281	"2458-10362"	"2458-20"	157.89207288155598	5.833234914790818	9744	3	"2458-39"	"Jahangirpuri"	"21:29:13"	9745	4	"2458-40"	"Adarsh Nagar"	"21:31:26"
233	"2458-10319"	"2458-20"	157.89207288155598	5.833234914790818	7968	3	"2458-39"	"Jahangirpuri"	"17:54:41"	7969	4	"2458-40"	"Adarsh Nagar"	"17:56:54"
243	"2458-10328"	"2458-20"	157.89207288155598	5.833234914790818	8338	3	"2458-39"	"Jahangirpuri"	"18:39:05"	8339	4	"2458-40"	"Adarsh Nagar"	"18:41:18"
139	"2458-10234"	"2458-20"	157.89207288155598	5.833234914790818	4506	3	"2458-39"	"Jahangirpuri"	"10:13:45"	4507	4	"2458-40"	"Adarsh Nagar"	"10:15:58"
84	"2458-1018"	"2458-2"	157.89207288155598	5.833234914790818	2516	32	"2458-40"	"Adarsh Nagar"	"21:18:43"	2517	33	"2458-39"	"Jahangirpuri"	"21:20:56"
301	"2458-10380"	"2458-20"	157.89207288155598	5.833234914790818	10484	3	"2458-39"	"Jahangirpuri"	"23:12:25"	10485	4	"2458-40"	"Adarsh Nagar"	"23:14:38"
184	"2458-10275"	"2458-20"	157.89207288155598	5.833234914790818	6171	3	"2458-39"	"Jahangirpuri"	"13:49:37"	6172	4	"2458-40"	"Adarsh Nagar"	"13:51:50"
61	"2458-1005"	"2458-2"	157.89207288155598	5.833234914790818	1753	32	"2458-40"	"Adarsh Nagar"	"20:14:35"	1754	33	"2458-39"	"Jahangirpuri"	"20:16:48"
105	"2458-10203"	"2458-20"	157.89207288155598	5.833234914790818	3248	3	"2458-39"	"Jahangirpuri"	"07:36:01"	3249	4	"2458-40"	"Adarsh Nagar"	"07:38:14"
245	"2458-1033"	"2458-2"	157.89207288155598	5.833234914790818	8441	32	"2458-40"	"Adarsh Nagar"	"22:33:31"	8442	33	"2458-39"	"Jahangirpuri"	"22:35:44"

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	"20260417"	"20251231"	"20260424"

stop_too_far_from_shape WARNING 26

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.
4161	"2458-shp_1_26"	"2458-5487"	105161	"2458-87"	"Mayur Vihar-I"	[28.603249885806807,77.2900147815442]	142.94771749965338
4161	"2458-shp_1_26"	"2458-5487"	105162	"2458-224"	"Mayur Vihar Pocket 1"	[28.60527359039007,77.29684590566207]	155.76844647548313
4161	"2458-shp_1_26"	"2458-5487"	105174	"2458-215"	"Maujpur - Babarpur"	[28.692466864472742,77.27985155329263]	113.92610928445382
2424	"2458-shp_1_24"	"2458-16449"	64131	"2458-68"	"Sikanderpur"	[28.481056857903123,77.09443633515427]	144.64483282589057
1500	"2458-shp_1_25"	"2458-1420"	42590	"2458-60"	"Malviya Nagar"	[28.528691982012838,77.2045611172752]	117.93602269387935
1500	"2458-shp_1_25"	"2458-1420"	42596	"2458-54"	"Lok Kalyan Marg"	[28.59762521833573,77.21104694471687]	188.30247695406717
1500	"2458-shp_1_25"	"2458-1420"	42599	"2458-51"	"Patel Chowk"	[28.622280703850837,77.21348172400208]	139.2817377989638
2176	"2458-shp_1_1"	"2458-15876"	61996	"2458-113"	"Dwarka"	[28.615887,77.022461]	111.07796279288127
4561	"2458-shp_1_2"	"2458-6564"	117485	"2458-113"	"Dwarka"	[28.615887,77.022461]	111.07796279288127
4637	"2458-shp_1_7"	"2458-6792"	117793	"2458-157"	"Shivaji Stadium"	[28.628192160345588,77.2096873231094]	101.747944085895
2276	"2458-shp_1_18"	"2458-16107"	62762	"2458-157"	"Shivaji Stadium"	[28.628192160345588,77.2096873231094]	101.747944085895
6	"2458-shp_1_13"	"2458-1000"	97	"2458-60"	"Malviya Nagar"	[28.528691982012838,77.2045611172752]	117.93602269387935
6	"2458-shp_1_13"	"2458-1000"	103	"2458-54"	"Lok Kalyan Marg"	[28.59762521833573,77.21104694471687]	188.30247695406717
6	"2458-shp_1_13"	"2458-1000"	106	"2458-51"	"Patel Chowk"	[28.622280703850837,77.21348172400208]	139.2817377989638
1713	"2458-shp_1_35"	"2458-14810"	48767	"2458-215"	"Maujpur - Babarpur"	[28.692444988036605,77.27991469255275]	107.30881951276864
1713	"2458-shp_1_35"	"2458-14810"	48779	"2458-224"	"Mayur Vihar Pocket 1"	[28.60527359039007,77.29684590566207]	155.76844647548313
1713	"2458-shp_1_35"	"2458-14810"	48780	"2458-87"	"Mayur Vihar-I"	[28.603249885806807,77.2900147815442]	142.94771749965338
990	"2458-shp_1_36"	"2458-12942"	27865	"2458-72"	"Vaishali"	[28.64900602691835,77.33842184366443]	141.47755259347156
3379	"2458-shp_1_12"	"2458-3611"	82055	"2458-72"	"Vaishali"	[28.64900602691835,77.33842184366443]	141.47755259347156
329	"2458-shp_1_34"	"2458-10736"	11461	"2458-51"	"Patel Chowk"	[28.622280703850837,77.21348172400208]	139.2817377989638
329	"2458-shp_1_34"	"2458-10736"	11464	"2458-54"	"Lok Kalyan Marg"	[28.59762521833573,77.21104694471687]	188.30247695406717
329	"2458-shp_1_34"	"2458-10736"	11470	"2458-60"	"Malviya Nagar"	[28.528691982012838,77.2045611172752]	117.93602269387935
85	"2458-shp_1_31"	"2458-10186"	2537	"2458-51"	"Patel Chowk"	[28.622280703850837,77.21348172400208]	139.2817377989638
85	"2458-shp_1_31"	"2458-10186"	2540	"2458-54"	"Lok Kalyan Marg"	[28.59762521833573,77.21104694471687]	188.30247695406717
85	"2458-shp_1_31"	"2458-10186"	2546	"2458-60"	"Malviya Nagar"	[28.528691982012838,77.2045611172752]	117.93602269387935
4749	"2458-shp_1_29"	"2458-7128"	118466	"2458-68"	"Sikanderpur"	[28.481056857903123,77.09443633515427]	144.64483282589057

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.
"20260417"	"20190101"	"20251231"