Request access to the NYC Subway Delay Radar

Released for non-commercial research and journalism. Requests are reviewed manually; most are approved.

Before you dive in

Short version: free for research, journalism, teaching, and personal projects.
Please credit me, and please don't use it to make money without asking first.

The MTA's feeds are theirs, and they're public — you can get them straight
from the source without agreeing to anything. What I'm sharing is what's built
on top: the captured history the model was fit to, the learned baselines that
define "normal", the coefficients, the calibration table, and the training
protocol. That's my work, and I'm licensing it to you under CC BY-NC 4.0.

Worth saying why the coefficients count as authored rather than found: they're
the output of a set of choices — how the features are defined, excluding
alert-active periods when learning "normal", collapsing metrics to episodes,
picking the threshold on the training side only. The design is the part I made.

What you can do

Use it, study it, fine-tune it, benchmark against it, and publish what you
find — just credit Henry Williams / subway.fyi. Academic work, journalism,
teaching, and personal projects are all welcome, and if you beat these numbers
I'd love to hear about it.

The one real limit: not for commercial use

Please don't use this model, its outputs, or anything derived from it to make
money without asking me first. That covers shipping it in a paid product or
service, fine-tuning or distilling it for commercial deployment (derived
weights carry the same limit), selling predictions or analysis made with it,
and for-profit internal use.

Access here isn't a commercial licence on its own — but do get in touch if you
want one. I'm open to it.

Two caveats worth knowing

  • Recall is low, by nature of the problem. It catches roughly one
    disruption in eight, at about 5.75 false alarms a day. It's a screening aid
    for a human reader, not a detector, and it isn't safety-certified — please
    don't put it anywhere that being wrong would actually matter.
  • It isn't an MTA product. Unofficial and unaffiliated, so please don't
    present its output as official service information.

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