IoT-Based Traffic Control System for Emergency Vehicles

Traffic congestion significantly impedes emergency vehicle response times in urban areas. This research introduces an IoT-based traffic control system designed to alleviate this issue by using RFID technology and Arduino microcontrollers. The system detects emergency vehicles via RFID tags and dynamically adjusts traffic signals to provide an uninterrupted path. Implemented with RFID receivers and Arduino controllers, the system ensures real-time management of traffic signals. Results from preliminary tests indicate a substantial reduction in transit times for emergency vehicles. This study demonstrates the potential of IoT-based solutions in improving urban traffic management, enhancing both public safety and emergency response efficiency.

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Publication Details

Published
2024-08-23
DOI
https://doi.org/10.1109/iacis61494.2024.10721837
Citations
3
Primary Topic
IoT and GPS-based Vehicle Safety Systems
Type
article
Field-Weighted Citation Impact
0.64
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IoT-Based Traffic Control System for Emergency Vehicles

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3 citations
IoT and GPS-based Vehicle Safety Systems
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article

IoT-Based Traffic Control System for Emergency Vehicles

S G Rahul, Vijaya Bhasker Reddy, P. Kavitha, K. Rama Krishna Reddy, K Charan, K. Pavan Teja
article en
3 citations

Abstract

Traffic congestion significantly impedes emergency vehicle response times in urban areas. This research introduces an IoT-based traffic control system designed to alleviate this issue by using RFID technology and Arduino microcontrollers. The system detects emergency vehicles via RFID tags and dynamically adjusts traffic signals to provide an uninterrupted path. Implemented with RFID receivers and Arduino controllers, the system ensures real-time management of traffic signals. Results from preliminary tests indicate a substantial reduction in transit times for emergency vehicles. This study demonstrates the potential of IoT-based solutions in improving urban traffic management, enhancing both public safety and emergency response efficiency.

Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology (IN)
Openalex Percentile: Top 35%
IoT and GPS-based Vehicle Safety Systems
0.64
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