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IOT ENABLED AMBULANCE DISPATCH SYSTEM

Author(s) Ms. Neeruchetla Vaishnavi, Dr. Namburi Nireekshana, Mr. Bapanapally Naveen, Mr. Mohammed Shoheb Uddin
Country India
Abstract Road accidents remain one of the leading causes of death globally, largely due to delayed medical assistance and the lack of immediate communication with emergency services. Research shows that timely medical intervention within the critical “golden hour” after an accident drastically increases survival rates and reduces injury severity. Addressing this urgent issue, this project aims to develop an automated accident detection and alert system designed to minimize emergency response time by instantly notifying relevant parties when a collision occurs. The system’s primary objective is to autonomously detect vehicular accidents using force sensors and accelerometers, reducing reliance on victims or bystanders to report incidents manually. When a sudden impact or abnormal vibration exceeding a predefined threshold is detected, the Arduino microcontroller processes the sensor data and activates the integrated GSM and GPS modules. This enables automatic transmission of real-time location details and alert messages to registered emergency contacts, ambulance services, and nearby hospitals via SMS and an Android mobile application. The novelty of this project lies in the integration of embedded hardware including force sensors, accelerometers, and an Arduino-based control system with wireless communication technologies such as GSM, GPS, and RF modules. Unlike traditional systems requiring manual calls for help, this system autonomously detects impacts and sends precise location information immediately. The addition of relay circuits and motor drivers further enhances system modularity, reliability, and operational efficiency. Methodologically, the system continuously monitors sensor outputs for collision events. Upon detecting an impact, it instantly triggers alerts containing accurate geographical coordinates, enabling emergency responders to reach the accident site quickly. Testing under simulated accident conditions confirmed the system’s ability to detect crashes and send immediate notifications, significantly reducing response time compared to manual reporting. Recent studies in intelligent transportation systems affirm that automated accident detection improves emergency response efficiency and can save lives by enabling faster medical intervention. This project contributes to these efforts by leveraging IoT and embedded technologies to enhance road safety worldwide.
Keywords Arduino-based control system, IoT, GSM, GPS, RF Modules
Field Engineering
Published In Volume 7, Issue 6, June 2026
Published On 2026-06-28

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