Transforming Urban Cores into Smart Cities

graphic of Transforming Urban Cores into Smart CitiesFrom an article on Lidar News entitled “Transforming Urban Cores Into Smart Cities with Mobility Data and AI.”

Becoming a Smart City

For the first time in history there are more people living in cities than in rural areas; this trend is accelerating at breathtaking speed in China and India. The UN predicts that by 2050 two-thirds of the world’s population will live in an urban area. That adds up to nearly seven billion people – just one billion less than are inhabiting the entire planet today.

For today’s urban centers to accommodate this unprecedented growth, major changes will have to occur in the management and delivery of citizen services. These changes are driven in part by changes in mobility and the increasing use of the Internet of Things (IoT) to monitor the Built Environment. The flow of digital information may have the potential to overwhelm existing information networks.

In order to be considered responsive by the public, time frames will have to shift from being measured in months to days and eventually to seconds. Cities will have to take advantage of digital technologies such as the cloud, AI, 5G, autonomous vehicles, digital twins, robots, drones, and even blockchain, just to name a few. Doing so will transform them into resilient Smart Cities that can operate efficiently in real time and support the health, safety, and livelihood of its residents in a cost effective manner.

One of the key information components upon which virtually all of the Smart City mobile apps will be based is dynamic and timely street level data. Static, two-dimensional map layers locked in a GIS only accessible to a few highly skilled technicians will be replaced by dynamic, 3D mobile applications that provide situational awareness information. This information can then support the intelligent management of robo-taxis, infrastructure, drone package delivery, and much more with street level analytics in near real time.

A company on the forefront of the Smart City transformation is Allvision. Based in Pittsburgh, PA, this geospatial data analytics company is leveraging the robotics and AI community in the “East Coast Silicon Valley” to develop an integrated platform that fuses both photogrammetric and SLAM-based 3D lidar data. By aggregating multiple sources of geospatial data, Allvision’s platform, leveraging machine learning and advanced classification, can provide actionable information from huge amounts of reality data. This data can lead to a more informed decision making process by creating and updating a high resolution 3D map of the city including key assets.

Let’s take a look at how they are becoming a leader in transforming urban cores into Smart Cities.

For the complete article click here.

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This entry was posted in 3D Modeling, AI, artificial intelligence, Autonomous vehicles, Business Development, Cloud, computer vision, Construction, Data, Deep Learning, Digital Transformation, driverless vehicles, GIS, Government, Infrastructure, intelligent cities, Internet of Things, machine learning, Mapping, Sensors, smart cities, Software and tagged , , , , , , , , . Bookmark the permalink.

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