VANET-based Ambulance Alert System for Vicinity Vehicles

This research presents a comprehensive approach to improving emergency response efficiency in urban environments through a VANET-Based Ambulance Alert System. Traffic congestion often delays ambulances, posing serious risks to critical patients. To address this, we leverage V2V communication using RYLR998 transceiver modules and ESP32 microcontrollers to detect ambulances and transmit real time alerts to nearby vehicles. These alerts, delivered through visual and auditory cues, enhance driver awareness and encourage yielding, facilitating quicker emergency response. Our methodology includes analyzing emergency response times, developing and testing the system, collecting and analyzing data, and implementing public awareness initiatives. By improving emergency vehicle navigation and reducing accident risks, this system contributes to safer roads and supports the adoption of smart transportation solutions in urban settings.

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Publication Details

Published
2025-04-07
DOI
https://doi.org/10.1109/ictmim65579.2025.10988071
Primary Topic
IoT and GPS-based Vehicle Safety Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

VANET-based Ambulance Alert System for Vicinity Vehicles

A ANUPAMA.T., Arul Selvan M, J. Josephine Selle, S Mohanaprasath
IoT and GPS-based Vehicle Safety Systems
article

VANET-based Ambulance Alert System for Vicinity Vehicles

A ANUPAMA.T., Arul Selvan M, J. Josephine Selle, S Mohanaprasath
article en

Abstract

This research presents a comprehensive approach to improving emergency response efficiency in urban environments through a VANET-Based Ambulance Alert System. Traffic congestion often delays ambulances, posing serious risks to critical patients. To address this, we leverage V2V communication using RYLR998 transceiver modules and ESP32 microcontrollers to detect ambulances and transmit real time alerts to nearby vehicles. These alerts, delivered through visual and auditory cues, enhance driver awareness and encourage yielding, facilitating quicker emergency response. Our methodology includes analyzing emergency response times, developing and testing the system, collecting and analyzing data, and implementing public awareness initiatives. By improving emergency vehicle navigation and reducing accident risks, this system contributes to safer roads and supports the adoption of smart transportation solutions in urban settings.

Kalasalingam Academy of Research and Education (IN)
Openalex Percentile: Top 90%
IoT and GPS-based Vehicle Safety Systems
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