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The Driven Hour

It’s time to get more realistic about Connected Cars and the
volume of data that they will generate. This paper by Joel Obstfeld
Distinguished Engineer, Chief Technology & Architecture Office,
Cisco and Mark Grayson, Distinguished Engineer, Chief Technology

& Architecture Office, Cisco examines today’s Connected Cars and
looks forward to the next generation of vehicles with a focus on
the future applications and the volume of data produced.

n 2016, Intel presented a slide, doubt that future production vehicles manufacturer significant insights
suggesting that autonomous will generate increasing amounts of into the operational behavior and
vehicles will generate 4TB of data data, what must be remembered is that performance of the vehicle, as well as
per day. This was a wonderful much of the data generated from an the ability to understand their customer
I‘sticky’ number that is still quoted array of sensors and electronic control base in greater detail. The data may also
in the press today. units within the vehicle will be recorded open other business relationships such
What was lost from the message was and processed locally, with the majority as vehicle insurance (own or partnered)
that the vast majority of this data never of the information being discarded. and shared mobility services. Telemetry
leaves the vehicle. Moreover, the 4TB Only a subset of the overall data, that can reveal if the windscreen wipers are
data volume pertained to research and which is valuable, will be transmitted used, and if so, how often. It can reveal
if features within the vehicle are being
development vehicles rather than regular back toward the vehicle manufacturer. used or not – which may then help
production vehicles. While there is no Vehicle telemetry can offer the
the manufacturer to determine if they
should continue to develop a feature
or potentially withdraw it. In addition,
to some vehicle manufacturers, the
collection of telemetry information
combined with data from sensors such
as cameras, is extremely valuable in
helping to provide ‘training data’ for
Advanced Driver Assistance Services
(ADAS) and systems that may offer
forms of automated driving (SAE Levels
3, 4 & 5) in the future. Alongside
the use of vehicle data by the vehicle
manufacturers is the burgeoning market
for this data. The McKinsey report from
late 2016 estimated the revenue from
vehicle data monetisation could be as
high as $750 billion by 2030.

26 April - May ’19 / TrafficInfraTech www.trafficinfratech-com-500653.hostingersite.com