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Tuesday, 18.06.2024
eGovernment Forschung seit 2001 | eGovernment Research since 2001

A smart city employs an information and communication technology (ICT) framework to develop, implement, and promote development methods to address urban challenges and build a coordinated, technologically enabled, and sustainable infrastructure. Prime Minister Narendra Modi introduced the Smart Cities Mission on June 25, 2015. By focusing on the social, economic, physical, and institutional foundations of the city, the mission seeks to promote economic growth and enhance quality of life. The objective is to produce replicable models that act as role models for other aspirational cities, with a focus on inclusive and sustainable development. A total of 100 communities were chosen to be transformed into “smart cities” after a two-stage process.

As population and urbanisation keep increasing, several communities will look to cutting-edge networks and contemporary technologies to help them manage resource limitations. AI can prove transformative in India, which has the second-largest population and the largest economy that is developing at the quickest rate in the world.

Use of AI and IoT

Real-time data collection, analysis, and management capabilities provided by cloud-based IoT apps assist businesses, governments, and individuals in taking smarter decisions that enhance quality of life. Cities and urban development have several areas where AI can be applied to boost system performance and effectiveness. It has the capacity to deal with the major problems caused by an overabundance of urban people, including traffic control, healthcare issues, and rising energy consumption. A smart city’s residents and companies can enjoy better lives thanks to IoT data and AI technology.

The transition to smart cities will be possible with a combination of high-speed, dependable, and low-latency connectivity. This transition to smart cities will mostly be enabled by AI. The application of AI and the Internet of Things (IoT) in smart cities has the potential to transform lives.

How this will benefit cities?

  • Safe Roads

    Indian roads may soon be a safer place to drive thanks to artificial intelligence (AI)-driven solutions. Traffic sensors are skilled at spotting “simple” traffic incidents, like cars that run red lights or go over the speed limit. They also assist in quantitatively detecting street conditions, such as counting passing cars to allow human operators to anticipate traffic jams. Internet of Things sensors send data to a data center, where AI uses it, among other tasks, to measure congestion.

  • Preservation of Environment

    To control the supply and demand for sustainable power, artificial intelligence can use intelligent grid systems and excellent forecasting skills. In particular, more accurate weather forecasts can boost output, cut costs, and lessen the generation of unnecessary carbon dioxide. Moreover, it can enhance load control, energy storage, efficiency, and reliability of renewable energy sources. As a result, dynamic pricing and trading will be easier, creating market incentives.

  • Smart Public Service

    The network of gadgets and items that incorporate electronics, software, sensors, and controllers is known as the Internet of Things (IoT), and it enables connections, communication, and data exchange between these gadgets and items. Governments can employ artificial intelligence (AI) techniques to create applications and learn from the massive volumes of data that users, sensors, and networks provide. IoT and AI can thereby facilitate the creation of beneficial services for individuals, organisations, and government organisations in a variety of fields, including travel, energy, health, education, and public security.

  • Effective waste management

    IoT-enabled smart trash sensors have made it possible for cities to optimise garbage collection, lower the number of overflowing bins, and manage resources. Smart waste management has thus become a critical component of the ecosystem for smart cities. Waste management could benefit from the use of IoT to cut costs that arise from operational inefficiencies in trash collection procedures. AI-enabled cameras can identify the different sorts of trash for classification and find trash that has been dumped on the ground. Authorities can receive alerts when the bins are getting close to being full, guarantee operational cost savings by avoiding wasteful pickups, and provide dynamic collection routes and timetables for waste management efficiency. A sustainable waste management system can be achieved by implementing AI for smart recycling and garbage management.

Several cities are currently vying to become smart cities in an effort to benefit from their economic, environmental, and social advantages. They might thus be looking at opportunities made feasible by the use of data analytics in smart cities. The AI plan will serve as a blueprint for cities to offer a variety of citizen services, an information exchange network, and chances for employment, enabling the goal of an independent urban India.


Autor(en)/Author(s): Sandeep Shekhawat

Quelle/Source: The Times of India, 18.03.2023

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