智慧城市的未来:智能设备可以向你撒谎帮你省钱

【智慧城市的未来:智能设备可以向你撒谎帮你省钱】专家解释了未来的智慧城市,人们的日常生活是什么场景:你的搜索历史和社会媒体网站上的行为可以揭示你的兴趣、品味与意图,各种传感器与分布式网络的可以测量从空气污染到交通状况等的任何外界环境的数据。智能手机帮你选择路线与交通工具,巴士司机可以看到你等待的信息,根据具体情况选择是否提醒你喜欢的咖啡店今天在打折……目前,这些数据位于不同的系统中,由不同的实体管理,智慧城市需要解决这些组织与制度障碍。

The future of commuting: Experts reveals how smart cities could give you a lie in and even save you money

  • Expert gives details to what our daily commutes could be in smart cities
  • Smart alarms could give you a lie in if traffic conditions are good 
  • Your phone could automatically suggest detours take as you walk
  • Take you down paths with less pollution when riding a bike
  • You could also check in at a bus station to let the driver know you are waiting
  • Expert also noted that our currently technology will soon make these a reality 

The alarm on your smart phone went off 10 minutes earlier than usual this morning.

Parts of the city are closed off in preparation for a popular end of summer event, so congestion is expected to be worse than usual.

You’ll need to catch an earlier bus to make it to work on time.

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An expert  describes a commute through a smart city and how the current technology is already bringing these connected towns one-step closer to a reality - starting with an alarm clock tailored to your routine, which is monitored every day by your smart watch

An expert describes a commute through a smart city and how the current technology is already bringing these connected towns one-step closer to a reality - starting with an alarm clock tailored to your routine, which is monitored every day by your smart watch

SMART CITY COMMUTE

While walking to the bus stop, your phone suggests a small detour because your normal route is crowded.

You check in at the Wi-Fi and Bluetooth-enabled bus stop, which updates the driver of the next bus.

He now knows that there are 12 passengers waiting to be picked up, which means he should increase his speed slightly if possible, to give everyone time to board.

While riding a bike to a meeting, your travel app gives you instructions via your Bluetooth headphones – it suggests how to adjust your speed on the bike, according to your fitness level.

Because of your asthma, the app suggests a route that avoids a particularly polluted area.

On the way home, you order a cab by tapping your smartphone and place your folding bike in the trunk.

The alarm time is tailored to your morning routine, which is monitored every day by your smart watch.

It takes into account the weather forecast (rain expected at 7am), the day of the week (it’s Monday, and traffic is always worse on a Monday), as well as the fact that you went to bed late last night (this morning, you’re likely to be slower than usual).

The phone buzzes again – it’s time to leave, if you want to catch that bus.

While walking to the bus stop, your phone suggests a small detour – for some reason, the town square you usually stroll through is very crowded this morning.

You pass your favourite coffee shop on your way, and although they have a 20% discount this morning, your phone doesn’t alert you – after all, you’re in a hurry.

After your morning walk, you feel fresh and energised.

You check in at the Wi-Fi and Bluetooth-enabled bus stop, which updates the driver of the next bus.

He now knows that there are 12 passengers waiting to be picked up, which means he should increase his speed slightly if possible, to give everyone time to board.

The bus company is also notified, and are already deploying an extra bus to cope with the high demand along your route.

While you wait, you notice a parent with two young children, entertaining themselves with the touch-screen information system installed at the bus stop.

Once the bus arrives, boarding goes smoothly: almost all passengers were using tickets stored on their smart phones, so there was only one time-consuming cash payment.

Your technology will be even more intuned with who you are in smart cities. For example, while riding a bike, your travel app gives instructions via your Bluetooth headphones to suggest how to adjust your speed on the bike, according to your fitness level

Your technology will be even more intuned with who you are in smart cities. For example, while riding a bike, your travel app gives instructions via your Bluetooth headphones to suggest how to adjust your speed on the bike, according to your fitness level

On the bus, you take out a tablet from your bag to catch up on some news and emails using the free on-board Wi-Fi service.

You suddenly realise that you forgot to charge your phone, so you connect it to the USB charging point next to the seat.

Although the traffic is really slow, you manage to get through most of your work emails, so the time on the bus is by no means wasted.

SMART STREETLAMPS

AT&T revealed the Smart Cities framework in January 2016, which uses the Internet of Things to create solutions for cities and helps form alliances with technology leaders and industry organizations.

For the latest Smart Cities project, AT&T is teaming up with GE to upgraded street lights in San Diego.

The firms have unveiled plans to add cameras, microphones and sensors to more than 3,000 street lights.

Sensing nodes will be added to the top of the light poles to create the futuristic system, which will be programmed to locate gunshots, estimate crowd sizes, check vehicle speeds and more.

The system is included in a $30 million GE LED lighting upgrade to 14,000 of San Diego's street lights.

The moment the bus drops you off in front of your office, your boss informs you of an unplanned visit to a site, so you make a booking with a car-sharing scheme, such as Co-wheels.

You secure a car for the journey, with a folding bike in the boot.

Your destination is in the middle of town, so when you arrive on the outskirts you park the shared car in a nearby parking bay (which is actually a member’s unused driveway) and take the bike for the rest of the journey to save time and avoid traffic.

Your travel app gives you instructions via your Bluetooth headphones – it suggests how to adjust your speed on the bike, according to your fitness level.

Because of your asthma, the app suggests a route that avoids a particularly polluted area.

After your meeting, you opt to get a cab back to the office, so that you can answer some emails on the way.

Although the description may sound like fiction, but truth be told, most of the data required to make this day happen are already being collected in one form or another

Although the description may sound like fiction, but truth be told, most of the data required to make this day happen are already being collected in one form or another

With a tap on your smartphone, you order the cab, and in the two minutes it takes to arrive you fold up your bike so that you can return it to the boot of another shared vehicle near your office.

You’re in a hurry, so no green reward points for walking today, I’m afraid – but at least you made it to the meeting on time, saving kilograms of CO2 on the way.

It may sound like fiction, but truth be told, most of the data required to make this day happen are already being collected in one form or another.

Your smart phone is able to track your location, speed and even the type of activity that you’re performing at any given time – whether you’re driving, walking or riding a bike.

Meanwhile, fitness trackers and smart watches can monitor your heart rate and physical activity.

Your search history and behaviour on social media sites can reveal your interests, tastes and even intentions: for instance, the data created when you look at holiday offers online not only hints at where you want to go, but also when and how much you’re willing to pay for it.

Personal devices aside, the rise of the Internet of Things with distributed networks of all sorts of sensors, which can measure anything from air pollution to traffic intensity, is yet another source of data.

Not to mention the constant feed of information available on social media about any topic you care to mention.

With so much data available, it seems as though the picture of our environment is almost complete.

But all of these datasets sit in separate systems that don’t interact, managed by different entities which don’t necessarily fancy sharing.

So although the technology is already there, our data remains siloed with different organisations, and institutional obstacles stand in the way of attaining this level of service.

Whether or not that’s a bad thing, is up to you to decide.


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