Tag Archives: Infrastructure

A Smarter World Part 3: How Smart Transportation Will Accelerate Your Business

November 21, 2019Internet of ThingsAI, Applications, Autonomous, Big Data, Cars, Cities, Data, Environment, Infrastructure, Internet of Things, IoT, Lights, Machine Learning, Management, Public, Road, Sensors, Smart, Traffic, Transitadmin

In the last installment of our blog series on smart cities, we examined how smart infrastructure will revolutionize smart cities. This week, we will examine the many applications which will soon revolutionize smart transportation.

A smarter world means a faster, more efficient and environmentally-friendly world. And perhaps the biggest increase in efficiency and productivity will be driven by the many ways in which AI can optimize the amount of time it takes to get where you’re going.

Here are the top applications in smart transportation coming to a city near you:

AUTONOMOUS VEHICLES

Some say autonomous vehicles are headed to market by 2020. Others say it could take decades before they are on the road. One thing is for certain, they represent a major technological advancement for smart transportation. Autonomous cars will communicate with each other to avoid accidents and contain state-of-the-art sensors to help keep you and your vehicle safe from harm.

Although autonomous vehicles are arguably the largest technological advancement on the horizon, they will also benefit greatly from a variety of smart transportation applications that will accelerate navigating your local metropolis.

SMART ROADS

What if we could turn roads into a true digital network, giving real-time traffic updates, supporting autonomous car technology, and providing true connectivity between vehicles and smart cities?

That’s the question tech start-up Integrated Roadways intends to answer. Integrated Roadways develops fiber-connected smart pavement outfitted with a vast amount of sensors, routers, and antennae that send information to data centers along the highway. They recently inked a 5 year deal to test out patented fiber-connected pavement in Colorado.

Smart Roads represent a major advancement in creating vehicle-to-infrastructure (V2I) connectivity. With 37,133 deaths from motor vehicles on American roads in 2017, the combination of AI applications in smart roads and autonomous cars could revolutionize vehicular transport and create a safer, faster world.

SMART TRAFFIC LIGHTS

The vehicle-to-infrastructure connectivity spans beyond the roads and into the traffic light. Idling cars generate an estimated 30 million tons of carbon dioxide. Traffic jams can make it harder for first responders to reach emergencies. Rapid Flow proposes that the answer may be their AI-based adaptive traffic management system called Surtrac.

Surtrac uses a decentralized network of smart traffic lights equipped with cameras, radar, and other sensors to manage traffic flows. Surtrac’s sensors identify approaching vehicles, calculate their speed and trajectory, and adjust a traffic signal’s timing schedule as needed.

SMART PUBLIC TRANSIT

There are a variety of smart applications which are revolutionizing public transportation.

In Singapore, hundreds of cameras and sensors citywide analyze traffic congestion and crowd density, enabling government officials to reroute buses at rush hour, reducing the risk of traffic jams. In Indianapolis, the electric Red Line bus service runs a 13 mile path that travels within a quarter of a mile of roughly 150,000 jobs.

One of the major disruptors which has seen rapid adoption in the smart public transport are electric scooter sharing services like Bird and Lime. Electric scooters fill in the public transportation gap for people looking to go 1-3 miles without having to walk or take a taxi. Electric scooters have seen adoption in Los Angeles, San Francisco, Salt Lake City, Brooklyn, and more cities around the globe.

CONCLUSION

Smart cities will have a host of revolutionary applications working in unison and communicating through smart infrastructure with municipalities to ensure maximum efficiency and safety when it comes to transportation. In our next installment of our series on smart cities, we’ll examine how smart security will help keep city-dwellers safe.

A Smarter World Part 2: How Smart Infrastructure Will Reshape Your City

September 30, 2019Internet of ThingsAcellant, Adaptive Lighting, AI, Applications, Big Data, Cities, Data, Environment, Health, Infrastructure, Internet of Things, IoT, Machine Learning, Management, Sensors, Smart, Structural, Trash City, Wasteadmin

Imagine a city that monitors its own health, identifies potential fail points using AI algorithms, and autonomously takes action to prevent future disasters.

This is the smart-city of the future. In our first installment of our blog series on Smart Cities, we ran through an overview of how Smart Cities will change our world. In this second entry of our blog on smart cities, we’ll examine perhaps the biggest building block necessary to create a smart city: smart infrastructure.

The construction of a smart city begins with developing a vast, city-wide IoT system, embedding sensors and actuators into the infrastructure of the city to create a network of smart things. The sensors and actuators collect data and send it to field gateways which preprocess and filter data before transmitting it through a cloud gateway to a Data Lake. The Data Lake stores a vast amount of data in its raw state. Gradually, data is extracted for meaningful insights and sent to the Big Data warehouse where it’s structured. From here, monitoring and basic analytics will occur to determine potential fail points and preventative measures.

Check out the breakdown below:

As you can see, it all begins with the construction of smart infrastructure that can collect data. Here are some of the big applications in the smart infrastructure space:

STRUCTURAL HEALTH

One of the major applications of smart infrastructure will be monitoring key data points in major structures, such as the vibrations and material conditions of buildings, bridges, historical monuments, roads, etc.

Cultivating data will initiate basic analysis and preventative measures, but as we gather more and more data, AI and machine learning algorithms will learn from vast statistical analysis and be able to analyze historical sensor data to identify trends and create predictive models to prevent future disasters from happening with unprecedented accuracy.

Learn more about how Acellant is building the future of structure health monitoring.

ENVIRONMENTAL APPLICATIONS

There are a multitude of potentially environmental applications for smart infrastructure designed to optimize city activities for environmental health. For example, embedding street lights with intelligent and weather adaptive lighting will reduce the amount of energy necessary to keep roads alight.

Air pollution monitoring will help control CO2 emissions of factories and monitor the pollution emitted by cars. Ultimately, earthquake early detection can help monitor distributed control in specific places of tremors.

WASTE MANAGEMENT

Boston is well-known as one of the top college cities in the United States. Every fall, over 160,000 college students from MIT, Harvard, Northeastern, BU, BC, Berklee School of Music, and more move in to their new living spaces, causing undue stress on the city’s waste management administration. ANALYZE BOSTON, the city’s open data portal, provided key data points such as housing rentals, trash volume and pick-up frequency, enabling a project called TRASH CITY to reroute waste management routes during this trying time.

CONCLUSION

Projects like Trash City show the many ways in which we can optimize city operations by analyzing data effectively. As smart infrastructure enables the collection of more and more data, projects like TRASH CITY will become more efficient and more effective.

Of course, the biggest application of Smart Infrastructure will be the many ways in which it will change how you get from A to B. Next week, we’ll focus in on smart transportation and how it will reshape metropolitan transportation.

A Smarter World Part 1: How the Future of Smart Cities Will Change the World

August 23, 2019Internet of Things5G, AI, Artificial Intelligence & Machine Learning, Change, Cities, Data, Embedded, Future, Futurism, Government, High-Speed, Infrastructure, Legislation, Sensors, Smart, Standardization, Technology, Transportation, Worldadmin

Are you ready for smart cities of the future? Over the next few weeks, we will be endeavoring on a series of blogs exploring what the big players are developing for smart cities and how they will shape our world.

When the world becomes smart, life will begin to look a lot more like THE JETSONS!

Our cities will become smart when they are like living organisms: actively gathering data from various sources and processing it to generate intelligence to drive responsive action. IoT, 5G, and AI will all work together to enable the cities of the future. IoT devices with embedded sensors will gather vast amounts of data, transmit it via high-speed 5G networks, and process it in the cloud through AI-driven algorithms designed to come up with preventative action. From smart traffic to smart flooding control, the problems smart cities can potentially solve are endless.

Imagine a world where bridges are monitored by hundreds of tiny sensors that send information about the amount of pressure on different pressure points. The data from those sensors instantly transmits via high-speed internet networks to the cloud where an AI-driven algorithm calculates potential breaking points and dispatches a solution in seconds.

That is where we are headed—and we’re headed there sooner than you think. Two-thirds of cities globally are investing in smart city technology and spending is projected to reach $135 billion by 2021. Here are the three of the top applications leading the charge in the Smart Cities space.

SMART INFRASTRUCTURE

As our opening description of smart bridges implies, smart infrastructure will soon become a part of our daily lives. In New Zealand, installed sensors monitor water quality and issue real-time warnings to help swimmers know where it’s safe to swim.

In order to enable smart functionality, sensors will need to be embedded throughout the city to gather vital information in different forms. In order to process the abundance of data, high-volume data storage and high-speed communications powered by high-bandwidth technologies like 5G will all need to become the norm before smart infrastructure can receive mass adoption.

Stay tuned for our next blog where we’ll get more in-depth on the future of smart infrastructure.

SMART TRANSPORTATION

From smart parking meters to smart traffic lights, from autonomous cars to scooters and electric car sharing services, transportation is in the midst of a technological revolution and many advanced applications are just on the cusp of realization.

Smart parking meters will soon make finding a parking space in the city and paying for it easy. In the UK, local councils can now release parking data in the same format, solving one of the major obstacles facing smart cities: Data Standardization (more on that later).

Autonomous cars, powered by AI, IoT, and 5G, will interact with the smart roads on which they are driving, reducing traffic and accidents dramatically.

While there is a debate about the long-term effectiveness of electric motorized scooters as a mode of transportation, they’ve become very popular in major US cities like San Francisco, Oakland, Los Angeles, Salt Lake City and are soon to come in Brooklyn.

With the New York Subway system in shambles, it seems inevitable the biggest city in the world will receive a state-of-the-art smart technology to drastically improve public transit.

SMART SECURITY

The more you look at potential applications for smart security, the more it feels like you are looking at the dystopian future of the novel 1984.

Potential applications include AI-enabled crowd monitoring to prevent potential threats. Digital cameras like Go-Pros have shrunk the size of surveillance equipment to smaller than an apple. Drones are available at a consumer level as well. While security cameras can be placed plentifully throughout a city, one major issue is cultivating the manpower required to analyze all of the footage being gathered for potential threats. AI-driven algorithms to analyze footage for threats will enable municipalities to analyze threats and respond accordingly.

However, policy has not caught up with technology. The unique ethical quandaries brought up by smart security and surveillance will play out litigiously and dictate to what degree smart security will become a part of the cities of the future.

CONCLUSION

We can see what the future may look like, but how we’ll get there remains a mystery. Before smart technologies can receive mass adoption, legislation will need to be passed by both local and national governments. In addition, as the UK Parking Meter issue shows, data standardization will be another major obstacle for smart technology manufacturers. When governments on both a local and a national level an get on the same page with regard to how to execute smart city technology and legislation, the possibilities for Smart Cities will be endless.

Stay tuned next week for our deep dive into the future applications of Smart Infrastructure!