BIg data in formula 1 racing

an interesting example of big data showing up in an unexpected venue:

http://www.zdnet.com/big-data-in-formula-1-racing-7000006919/

This article from ZDNet describes how “Big Data is arriving in places we don’t often
consider. Such as Formula 1 racing, the rest-of-the-world’s NASCAR, where
racing team budgets can top $250 million a year, of which 5% is spent on
telemetry.”
It then goes on to explain that “According to an article in the Financial Times:
A modern F1 car is fitted with aboutHere’s
130 sensors, which send enough information to fill several telephone books by
the end of a two hour race via a radio aerial fitted to the car.
But more than races are recorded.
Qualifying runs, practice laps, tests. F1 cars don’t move under their own power
without telemetry. It isn’t just 1 car, either. Most teams field several cars. They correlate the data from the multiple cars in the race with data from testing and simulations, as well as data from previous years at the same track. Then they are distributing the data to a couple of dozen engineers, who are running the raw numbers through visualization tools and simulations to look for anomalies. When all is said and done I’d expect that each race would require terabytes of data – not a CERN LHC shot, but non-trivial – and there are multiple races.”

I find this idea to be particularly interesting.
Not only can big data in fields such as health care, politics and academia, but
for more mundane pursuits such as sports and entertainment as well. It’s also
interesting to ponder how Telemetry might be used in our day to day lives in
the near future. According to the article “Two-way telemetry – where engineers would make
engine adjustments remotely during a race – was tried in the 90s, but finally
banned. But imagine that technology applied to the morning commute during icy
or wet conditions.” It also goes on to mention that “F1 racing telemetry
suggests what the future holds for the larger automobile market: massive
streams of real-time road and automobile data giving millions of automobiles –
and maybe even their drivers – traffic smoothing, energy-optimizing analysis
and direction.
F1 innovations not infrequently make
their way to broader market. Wealthy crowded countries or cities could mandate
vehicle telemetry to monitor and coordinate vehicles and traffic control
operations.”
The implications of these ideas are well worth noting. The idea of remote traffic control, assuming that it became feasible, could be highly useful for preventing congestion and traffic accidents of major roads. Such a technology could serve to assist drivers during difficult traffic situations and when facing extreme weather conditions. Yet another example of how big data will continue to impact our day to day lives.

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