Page 10 - ICT Nepal News Issue 01

6. Making room for connected dnd
outonomous vehicles
Talk is buzzing about connected
data to improve
vehicles and autonomous cars. Some
civic services in 2017.
cities are interested in creating
"From crime detection software to
programs that identify inefficiencies tech nology to support self-driving
cars, such as with Pittsburgh's
4. Growth in mochine-to-mdchine in parking, cities are increasingly partnership with Uber for a self-
leorning using data to become more efficient. driving pilot and the S10.9 million
Get ready for the city of the Office buildings are also paving the
in funding it's received from the US
future. "The power and capabilities way in using data to make cities Department of Transportation to
of machine learning will grow smarter. For instance, the Hudson fund smart traffic lights. But what
exponentially. We will not be the Yards development in New York
Jetson's in 2017 but the pace of City employs a range of sensors does this all really mean?
"Smart cars are on the horizon.
the impact will not slow down," that collect information on people's
But, in order for autonomous
saysMark Kamlet, professor of behaviors, adjusti ng services based
economics and public policy of on those inputs. This includes vehicles to flourish, they must at
least be able to trust the integrity of
Heinz College at Carnegie Mellon altering energy usage in specific the infrastructure, and at best work
University.No one thought machine sections of buildings depending on
with those surrounding structures
learning would beat top players of occupancy," Barendrecht said. "Yet,
the in the game of 'Go'for decades the trend I expect to see in 2017 as part of an interconnected
technological web. Uber may be
or during our lifetime, or maybe that will have the biggest impact ready to roll out the car of the
never, according to Kamlet. is cities increasingly making all of future, but according to everything
"As cities continue to innovate in their data available to the general
the big data realm, machine learning public. ln doing so, they will give we know about Pittsburgh's
infrastructure, the streets can not
applications are increasing and entrepreneurs the information they support them. ln fact, 60 minutes
converging with the loT. Machine need to develop the next round
claimed in201-4 that Pittsburgh
learning will, for example, help to of smart city technologies. The 'may have the most serious problem
intelligently mine loT data to drive possi bi I ities for grou nd brea king in the country'when it comes to
better informed planning decisions innovation are endless," he added.
outdated and crumbling bridges and
for cities, municipalities, utilities,
roads. And Pittsburgh is not alone.
and community citizens. Machine According to the National League of
learning will also be key to enabling
Cities, only percent of the country's
more adaptive, resilient systems, "
most populous cities have accounted
said Jennifer James, director of
for these types of vehicles in their
Smart City Solutions for Black and long-term plans. Connected cars are
Veatch. only the beginning of a nation-wide
5. Leveraging data to become more ffi transformation of our cities, and
there is a lot of work to do in 20L7,"
efficient said Kurt Steward, vice president of
Arie Barendrecht, CEO and
the public sector at lnfor.
co-founder of WiredScore believes
It's truly a race toward
smart cities will leverage
ffi