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MRI India Journals Vol. 14 No. 1 (2025)

A Survey on IoT-Enabled Smart Ambulance Systems for Enhanced Emergency Response and Rescue Operations

Authors

  • Deepali Narwade Assistant Professor, Department of Artificial Intelligence & Data Science, Dr. D. Y. Patil College of Engineering & Innovation, Varale, Talegaon, Pune, India
  • Arjunsingh Rajput U.G. Student, Department of Artificial Intelligence & Data Science, Dr. D. Y. Patil College of Engineering & Innovation, Varale, Talegaon, Pune, India
  •  Ishwar Gadade U.G. Student, Department of Artificial Intelligence & Data Science, Dr. D. Y. Patil College of Engineering & Innovation, Varale, Talegaon, Pune, India
  • Vedant Shewale U.G. Student, Department of Artificial Intelligence & Data Science, Dr. D. Y. Patil College of Engineering & Innovation, Varale, Talegaon, Pune, India
  • Ayaan Taj U.G. Student, Department of Artificial Intelligence & Data Science, Dr. D. Y. Patil College of Engineering & Innovation, Varale, Talegaon, Pune, India
  • Amar Sonawane U.G. Student, Department of Artificial Intelligence & Data Science, Dr. D. Y. Patil College of Engineering & Innovation, Varale, Talegaon, Pune, India

DOI:

https://doi.org/10.65521/ijacte.v14i1.571

Keywords:

Smart Ambulance IoT Emergency Response Real-Time Tracking GPS

Abstract

Efficient ambulance services are vital for saving lives during medical emergencies. With the growing urban population and increasing traffic congestion, traditional ambulance dispatch methods often face delays, affecting the overall emergency response time. This paper reviews recent advancements in smart ambulance systems powered by IoT, GPS, GSM, and cloud computing technologies. The reviewed studies focus on real-time ambulance tracking, automatic dispatch, and enhanced coordination with hospitals. By integrating smart sensors, mobile applications, and cloud-based communication, these systems improve ambulance availability, reduce response times, and ensure accurate location tracking. The implementation of such intelligent ambulance management solutions represents a significant step toward more responsive and life-saving emergency medical services.

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Published

2025-06-03

How to Cite

Narwade , D., Rajput , A., Gadade, Ishwar, Shewale , V., Taj , A., & Sonawane , A. (2025). A Survey on IoT-Enabled Smart Ambulance Systems for Enhanced Emergency Response and Rescue Operations. International Journal on Advanced Computer Theory and Engineering, 14(1), 472–474. https://doi.org/10.65521/ijacte.v14i1.571

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