So, you think you have an AI strategy? Think again.
A study 17 by the University of Michigan and
Ford indicates a 9% net reduction in energy
usage and Green House Gas (GHG) emissions
for the base case from an ICE-AV. As
DMV.org implies in their analysis, 18
inefficiencies are due to the limited
integration of technologies and the high-
power consumption from computing
required to process the sensing and
navigation. As these technologies decrease
in costs from economies of scale then the
GHG should decrease even more for ICE -
AVs.
mass adoption of Cloud computing (i.e., 15-
20 years).
Step 5 - What is the impact of AV to
environment and energy?
Given the converged view of the ecosystem,
how it may evolve and growth prospects, we
can now look at the impact of AVs to a
variety of social factors, starting with
environment and energy. We will now look
at internal combustion engine powered
vehicles (ICE-AVs) and electric or battery
powered vehicles (EV-AVs).
Figure 8: Net Benefits of an ICE - AV
order of magnitude lower than the cost of
service of present-day Manhattan taxis. EV-
AVs will also be $0.05−$0.08/mi lower than
a fleet of hybrid or ICE-AVs. They estimate
Another study 19 by UC-Berkeley finds the
cost of service provided by a fleet of EV-AVs
will be $0.29-$0.61 per revenue mile, an
17 https://pubs.acs.org/doi/10.1021/acs.est.7b04576
18 https://www.dmv.org/articles/environmental-effect-of-self-driving-cars
19 https://pubs.acs.org/doi/abs/10.1021/acs.est.7b04732
IIC Journal of Innovation
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