The use of IoT technology at city-scale is becoming a rising trend, giving birth to a generation of modern areas known as “smart cities.”
In recent years, more and more countries have begun incorporating this technology into their infrastructures. So far, IoT has been used to elevate crucial systems that affect citizens’ daily lives, such as healthcare, public transportation, workplace, waste management, and energy distribution.
The evolving need for real time monitoring of dynamic traffic is propelling the deployment of new technologies. State-of-the art technologies are being developed, tested, and piloted for the smooth management of vehicular traffic especially in urban areas. The drive for adaptive traffic control systems stems from the rise in investments in smart city initiatives in emerging economies.
Technological strides are expanding the horizon in the adaptive traffic control system market. The system is rapidly learning. Developers and vendors in the adaptive traffic control system market are leveraging user friendly interfaces to attract customers. More prominently, in recent years, the incorporation of machine learning algorithms has helped them carve out new customer propositions. Advancements in the AI technologies has contributed to increased competence in real-time traffic data analysis. Couples with AI, the incorporation of novel sensors has set the tone for innovation in the adaptive traffic control system market.
Weiterlesen: Smart City Initiatives to Spur Deployment of Adaptive Traffic Control System
In February, the Toyota Motor Company broke ground on what it calls Woven City, a built-from-scratch futuristic urban center on 175 acres in the shadow of Mount Fuji. Woven City is a reference to the way the project plans to weave together cars, robots, data and computers to create a city that the builders say is highly efficient, pollution free and sustainable.
The new city will be carbon neutral, Toyota says. Autonomous cars will run on non-polluting green hydrogen, while solar and wind provide other energy needs. And sensors embedded throughout Woven City will gather a range of metrics and process them with artificial intelligence to help the city constantly become cleaner and run more smoothly.
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For smart city planning and growth, city management organisations must go beyond short-term goals and resort to technology, such as computer vision
Smart cities use a mix of low-power sensors, cameras, and AI algorithms to continuously monitor the city’s efficiency. Governments benefit greatly from the use of computer vision and other related technologies. These technologies allow city administrators to easily integrate and manage assets. As the ‘eyes’ of the city, computer vision plays an important role in smart city management. The following are some of the most important computer vision applications for smart cities:
Weiterlesen: 10 Ways Computer Vision is Used in Smart Cities in 2022
Due to urbanization, which involves a complex set of economic, demographic, social, cultural, technological, and environmental processes, governments are developing smart cities to address some of the challenges unique to urban areas. This development occurs through the transmission of data using wireless technology and the cloud.
Smart cities are powered by technologies such as the Internet of Things (IoT), Information and Communications Technology (ICT), and Geographical Information Systems (GIS). Each technology works together to collect and contextualize massive amounts of data that can be used to improve the components and systems running within a city. Smart cities may also utilize artificial intelligence (AI) and blockchain technology for certain systems. This article will focus primarily on IoT, the vast network of connected physical devices that’s making cities smart.