An Intelligent Emergency Response Framework for Ambulance Priority Routing Using Real-Time GPS Tracking and Traffic Signal Preemption
Abstract
Ambulance delay costs lives. It’s sounds harsh, but its true. Studies show that even a small delay before a patient receives can reduce their chances of survival, sometimes by up to 6% for every minute lost. This is what made us think why, even in 2024, are ambulances still getting at red signals? That question led us to build SAPS in this paper, we explain the system we designed and tested. The idea is simple , first the ambulance is tracked in real time using GPS. Then, the system continuously finds the fastest route based on current traffic conditions. At the same time, it communicates with traffic signals ahead so that the ambulance can get a green light before reaching an intersection. We also included a shared application interface where the patient, hospital, and driver can all view the same informative live. This helps everyone stay coordinated during emergencies We are nor saying this is final product it is working prototype that shows the concept can actually work. Results from similar system are promising traffic signals preemption alone can reduce delays at intersection 15% to 50 %. Improvements like this can make a real difference when every second matters.
Citations
IRE Journals:
K Naga Sathwik, Pavithra P, Koushik V, Kareena S Dutta, Kameswar Reddy "An Intelligent Emergency Response Framework for Ambulance Priority Routing Using Real-Time GPS Tracking and Traffic Signal Preemption" Iconic Research And Engineering Journals Volume 9 Issue 9 2026 Page 3456-3462 https://doi.org/10.64388/IREV9I9-1715344
IEEE:
K Naga Sathwik, Pavithra P, Koushik V, Kareena S Dutta, Kameswar Reddy
"An Intelligent Emergency Response Framework for Ambulance Priority Routing Using Real-Time GPS Tracking and Traffic Signal Preemption" Iconic Research And Engineering Journals, 9(9) https://doi.org/10.64388/IREV9I9-1715344
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