Dear All,

Thank you very much for your assistance. Special thanks to Nikhil for the 
data and Rigved and Shiv for the flags. I now have a much better 
understanding of what the traffic data landscape looks like - this will 
should suffice for my project. I simply want to show that heightened air 
pollution solutions affect traffic in one way or the other.

Thanks again!

--
Sincerely,
Sudarshan

On Wednesday, February 14, 2024 at 5:24:43 AM UTC+5:30 Shiv Hastawala wrote:

Hey Nikhil

Thanks for correcting me!



Thanks and regards.


Yours sincerely

*Shiv Hastawala*

(He/His/Him)
Doctoral Student
Department of Economics
Binghamton University (State University of New York)

Zoom ID: 201 717 2613

www.shivhastawala.com
On Tue, 13 Feb 2024 at 1:43 pm, Nikhil VJ <[email protected]> wrote:

Hi,

Rigved, thanks for the suggestion. Sudarshan, 
I've saved delhi gtfs-rt (bus gps locations) data over 2019-2020 (mostly 
2019) here:
https://server.nikhilvj.co.in/delhirt/ 

you'll see some zipped csvs, one covering each week. (.7z is a zip format 
that gives good compression for text data, lookup 7zip)

Please feel free to use it as you may. Data is as-was in the realtime feed 
released by https://otd.delhi.gov.in/ .

Also, just to clarify Shiv's input : No, Openstreetmap doesn't have GPS 
navigation system and doesn't keep such archival data. That might be other 
apps using OSM. It has gps traces uploaded by users, for use as an aid for 
mapping. But most mapping doesn't rely too much on those now as there's 
better quality satellite imagery around now. They're likely not to repeat 
much along the same routes as the intention is to just one-time map a path.


--
Cheers,
Nikhil VJ
https://nikhilvj.co.in


On Tue, Feb 13, 2024 at 12:26 PM [email protected] <[email protected]> 
wrote:

One approach would be to look if someone is archiving historical GTFS data. 
(I saw something Nikhil VJ was doing for delhi a few years ago.) It has bus 
was here(lat-long) at this point of time data. With a lot of cleaning, I 
was once able to derive traffic (slow-fast) conditions for many roads 
during working hours.
On Tuesday, February 13, 2024 at 6:32:00 AM UTC+5:30 Shiv Hastawala wrote:

Hi Sudarshan 

Disclaimer: I haven't tried it and I'm only shooting in the dark.

Open street map (OSM) usually has archives of a lot of types of their data 
across the web. It also has a GPS navigation system similar to Google maps, 
so I'm assuming they would have archival data for traffic too. Maybe that's 
a place you could look.

If there are any other people who have concrete info on this, please pitch 
in. 


Thanks and regards.


Yours sincerely

*Shiv Hastawala*

(He/His/Him)
Doctoral Student
Department of Economics
Binghamton University (State University of New York)

Zoom ID: 201 717 2613

www.shivhastawala.com


On Mon, 12 Feb 2024 at 7:14 pm, Sudarshan RSA <[email protected]> wrote:

Hi everyone,

I'm trying to source traffic data for India to analyze as part of an 
economics paper relating to air pollution that I'm trying to write. What I 
want is, estimates of traffic density/an adjacent measure at as granular a 
level as possible and preferably at the daily level. One ideal 
configuration would be to have gridded daily data like we do with weather 
variables, but I suspect that will be difficult.

What is the best level at which I can find the sort of data I'm looking 
for? Google maps doesn't seem to have historical data for traffic. 

I seek your advice.

Sincerely,
Sudarshan

-- 
Datameet is a community of Data Science enthusiasts in India. Know more 
about us by visiting http://datameet.org
--- 
You received this message because you are subscribed to the Google Groups 
"datameet" group.
To unsubscribe from this group and stop receiving emails from it, send an 
email to [email protected].
To view this discussion on the web visit 
https://groups.google.com/d/msgid/datameet/eaca2492-9cf3-4e0b-bcbb-430e172279bbn%40googlegroups.com
 
<https://groups.google.com/d/msgid/datameet/eaca2492-9cf3-4e0b-bcbb-430e172279bbn%40googlegroups.com?utm_medium=email&utm_source=footer>
.

-- 
Datameet is a community of Data Science enthusiasts in India. Know more 
about us by visiting http://datameet.org
--- 
You received this message because you are subscribed to the Google Groups 
"datameet" group.
To unsubscribe from this group and stop receiving emails from it, send an 
email to [email protected].
To view this discussion on the web visit 
https://groups.google.com/d/msgid/datameet/008cc75d-ad36-4fbc-89ab-812137b593d6n%40googlegroups.com
 
<https://groups.google.com/d/msgid/datameet/008cc75d-ad36-4fbc-89ab-812137b593d6n%40googlegroups.com?utm_medium=email&utm_source=footer>
.

-- 
Datameet is a community of Data Science enthusiasts in India. Know more 
about us by visiting http://datameet.org
--- 
You received this message because you are subscribed to the Google Groups 
"datameet" group.
To unsubscribe from this group and stop receiving emails from it, send an 
email to [email protected].

To view this discussion on the web visit 
https://groups.google.com/d/msgid/datameet/CAH7jeuOZgyb5hWm7KoXnbPrkgDBY9EZVYyXS3ihgDCN7W-%2BhOw%40mail.gmail.com
 
<https://groups.google.com/d/msgid/datameet/CAH7jeuOZgyb5hWm7KoXnbPrkgDBY9EZVYyXS3ihgDCN7W-%2BhOw%40mail.gmail.com?utm_medium=email&utm_source=footer>
.

-- 
Datameet is a community of Data Science enthusiasts in India. Know more about 
us by visiting http://datameet.org
--- 
You received this message because you are subscribed to the Google Groups 
"datameet" group.
To unsubscribe from this group and stop receiving emails from it, send an email 
to [email protected].
To view this discussion on the web visit 
https://groups.google.com/d/msgid/datameet/50218e2b-a4cd-4749-8887-0bd1c3724129n%40googlegroups.com.

Reply via email to