Implementation of Smart Traffic Management Using IoT

Rapid urbanization and increasing vehicle fostered considerable traffic congestion and pollution in metropolitan areas. Traditional traffic management systems are often inefficient in treating these problems. This research paper considers implementing smart traffic management using the Internet of Things (IoT) to optimize traffic flow, reduce congestion and improve traffic safety. IoT-based traffic management systems integrate real-time data collection, cloud computing and artificial intelligence (AI) to improve efficiency and responsiveness

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-03-30
DOI
https://doi.org/10.5281/zenodo.15502093
Primary Topic
Organizational and Employee Performance
Type
article
Field-Weighted Citation Impact
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Implementation of Smart Traffic Management Using IoT

Zenodo (CERN European Organization for Nuclear Research)
Organizational and Employee Performance
article

Implementation of Smart Traffic Management Using IoT

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Abstract

Rapid urbanization and increasing vehicle fostered considerable traffic congestion and pollution in metropolitan areas. Traditional traffic management systems are often inefficient in treating these problems. This research paper considers implementing smart traffic management using the Internet of Things (IoT) to optimize traffic flow, reduce congestion and improve traffic safety. IoT-based traffic management systems integrate real-time data collection, cloud computing and artificial intelligence (AI) to improve efficiency and responsiveness

Zenodo (CERN European Organization for Nuclear Research)
G.S. Science, Arts And Commerce College (IN)
Sustainable cities and communities
Openalex Percentile: Top 76%
Organizational and Employee Performance
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Implementation of Smart Traffic Management Using IoT · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS