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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM42013
Volume:
9 |
3 |
Mar 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
The integration of Internet of Things (IoT) technology in traffic management presents a transformative approach to addressing urban mobility challenges. As cities face increasing congestion, pollution, and inefficiencies in traffic flow, IoT-based traffic management systems offer real-time, data-driven solutions that enhance urban development. This paper investigates the impact of IoT integration in urban traffic management, examining how interconnected devices, sensors, and intelligent systems can optimize traffic flow, reduce emissions, and improve safety on city roads. IoT enables continuous monitoring and dynamic control of traffic lights, intersections, and vehicle flows, adapting in response to real-time conditions. By analyzing data collected from sensors embedded in roads, intersections, and vehicles, cities can develop adaptive traffic strategies that alleviate congestion and respond proactively to incidents. The findings indicate that IoT-enhanced traffic systems contribute significantly to sustainability goals, supporting reduced fuel consumption and lowering carbon emissions. Additionally, these systems offer a platform for data integration across multiple urban services, potentially coordinating traffic management with public transportation, emergency response, and environmental monitoring. This paper highlights the challenges involved, such as data security, network reliability, and infrastructure costs, which are essential considerations for successful implementation. Overall, the study demonstrates that IoT-enabled traffic management is a key enabler of smart urban development, fostering efficient, eco-friendly, and safer urban environments.
KEYWORDS
Publication Date
3/4/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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