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AI In Smart Cities: Role Of Machine Learning In Traffic And Waste Management

Year: 2025

Type: article

Abstract: Smart Cities: Using Technology to Improve Quality of Life Cities encounters difficulties in managing resources, transportation, and public services as they expand. IoT, artificial intelligence, and machine learning are some of the technologies that smart cities use to improve the sustainability, efficiency, and enjoyment of urban living. Both public transit and traffic flow are improved by this technology. Reduce waste and increase energy efficiency. Boost public security and safety. Better services for citizens the objective is to build cities that are sustainable, efficient, and livable for citizens. In order to accomplish this, machine learning and deep learning are crucial.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.17660796

Authors: Rasika Chandre, Shubhra Ladkekar, Pranali Lolge, Dr. Mrs. K. P. Paithane, Ms. Salve A. K. Salve

Language: English

Topic: Smart Cities and Technologies

Subfield: Media Technology

Field: Engineering

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Sustainable cities and communities, Responsible consumption and production

Open Access status: green

OpenAlex ID: W7106299252

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