Authors : Anay Kushwaha

Volume/Issue : Volume 9 - 2024, Issue 4 - April

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Google Scholar : https://tinyurl.com/sbe8zk98

Scribd : https://tinyurl.com/4fx3ndd4

DOI : https://doi.org/10.38124/ijisrt/IJISRT24APR2069

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

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Abstract : Urban traffic congestion is a growing problem worldwide, leading to wasted time, fuel, and increased emissions. To address this challenge, smart traffic management systems powered by the Internet of Things (IoT) and Artificial Intelligence (AI) are emerging as a promising solution. This paper explores how these technologies can be combined to create a more efficient and sustainable traffic management system for large cities.

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