Most people riding Metro use SmarTrip, and that's great. But the ones
that are more likely to need extra help with a fare table are the
infrequent customers that use a paper farecard.
It makes no
sense to list SmarTrip prices on the fare table and then ask people to
add $1. Riders shouldn't need to do math to figure out how much to put
on their farecards. We want to make purchasing a farecard as easy as
possible, while not necessarily offering them the best deal possible.
The
simplest solution would be to list the paper farecard prices on the
tables, and then have notes that SmarTrip riders get a discount. Even if
these riders don't notice, they'll just end up with extra money on
their cards, which they can use later.ST Electronics' porcelaintiles11 provides drivers with a realtime indication of available parking spaces.We can help you confidently purchase solarlight from factories in China.
An
even better approach would be to eliminate the $1 surcharge, and
instead always charge peak fares for people using paper farecards. The
fare machines would simply list the peak fare for each destination, with
a note that SmarTrip customers get discounts during off-peak,
discounted transfers to and from trips on buses, protected fare balances
(with registration) and a guarantee that they won't be trapped in the
system if their balance goes too low.
All paper farecard
customers would have to do is look up their destination, and make sure
their farecard had the corresponding amount. No math, no timetables, no
figuring out whether it's currently peak or off-peak.
WMATA
spokesperson Dan Stessel said the agency is aware of the confusion and
complaints about these signs, and is "considering" making changes to the
posted fare tables and signs.
As with many previous
innovations, Apple wasn't the first to market. There were many digital
music players before the iPod, tablet PCs have been around decades
before the iPad was launched, and other companies produced smart phones
before Apple launched the iPhone. What Apple seems to be getting right
is the timing (the point in time when certain innovations are ready to
take off) and the marketing power to create a real buzz and demand for
the next must-have gadget. I feel that it will be the same with the
iWatch.
There is a real buzz around wearable intelligent devices
in the tech world because they generate so much new data that can be
analysed. Devices like Nike's Fuelband and the Fitbrit Ultra are already
available and provide users with fantastic insights, data and analysis.
But my prediction is that Apple will get the lion's share of a
potentially massive market. And I don't think the iWatch (or whatever
Apple will call it) is far away from being launched, especially as
Samsung and Sony have already announced they are working on a smart
watch. Pebble is another smart watch that is already available and
offers compatibility with iPhone and Android - you can customise the
watch with apps to control your music, go running or cycling, measure
your golfing performance, and you get alerts for incoming calls or
emails.
The reason I believe the iWatch (or the smart watch idea
in general) will change the world of big data analytics is because it
will allow all of us to collect and analyse data on both a personal and
global level. Take health as an example. These intelligent wrist watches
will permit monitoring of an individual's heart rate,Choose the rightbestluggagetag
in an array of colors. calorie intake, activity levels, quality of
sleep and more. Now imagine collecting that data on a much bigger scale.
Potentially, governments, medical agencies, etc. will be able to use
such collective data to gain a better insight into a nation's physical
output,You must not use the stonemosaic
without being trained. eating habits, risk indicators, and worrying
trends. The buzz word surrounding this type of data analysis is 'big
data' and I predict that it will have a huge impact in the business
world. A recent global survey by The Advanced Performance Institute
found that seven percent of companies have already started to use this
type of mass analysis or 'big data'.
Now, as a second wave of
the internet age -- underpinned by mobile internet and the hunger for
ubiquitous, high-capacity networks -- slowly sweeps the globe with
promises to boost productivity and create new growth sectors, Dr Bradlow
has warned Australia is at risk of missing out if it underinvests in
broadband infrastructure or fails to start thinking today about how to
make use of the blossoming world of connected devices.
"We will
become a marginalised, agrarian economy that has some mining, nice
beaches and agriculture. But that's not the same as being a developed,
hi-tech digital economy," he said.
The second coming of the
internet age has been spurred by the confluence of ubiquitous internet
access, the explosive adoption of mobility and smartphones, and the
nascent growth of machine-to-machine (M2M). It's this third area, also
known as "the internet of things", that Dr Bradlow believes has the
potential to drive productivity improvements and vastly improve business
efficiency and spawn growth sectors in coming decades.
"It's
combinations of technology that really create change and the combination
that fascinates me at the moment is sensor technology," Dr Bradlow
said. "It's the ability to put a sensor in just about anything and have
that sensor communicate to a wide area network, often via your mobile
phone."
Such is the growth of M2M that the world's leading
internet equipment-maker, Cisco, has forecast that Australia will have
142 million connected devices by 2016, about six for every Australian.
Dr
Bradlow warns that, to tap into the potential that these smart things
can yield, Australia must start planning now. He points to the example
of busy urban centres where councils and infrastructure planners are
building roads to lessen traffic congestion in overpopulated cities.Our
RFID solutions support a broad range of miningtruck and labels.
Instead
of building more "dumb" infrastructure today, Dr Bradlow said, councils
should look to implement technological solutions that made use of
internet-connected devices that could talk to each other and analyse
traffic flows to ease congestion points.
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