An Intelligent Emergency Response Framework for Ambulance Priority Routing Using Real-Time GPS Tracking and Traffic Signal Preemption

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.

Authors

Publication Details

Journal
Iconic Research and Engineering Journals
Published
2026-04-14
DOI
https://doi.org/10.64388/irev9i9-1715344
Primary Topic
IoT and GPS-based Vehicle Safety Systems
Type
article
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article

An Intelligent Emergency Response Framework for Ambulance Priority Routing Using Real-Time GPS Tracking and Traffic Signal Preemption

Kameswar Reddy, Koushik V, Pavithra P, Kareena S Dutta et al.
Iconic Research and Engineering Journals
IoT and GPS-based Vehicle Safety Systems
article

An Intelligent Emergency Response Framework for Ambulance Priority Routing Using Real-Time GPS Tracking and Traffic Signal Preemption

Kameswar Reddy, Koushik V, Pavithra P, Kareena S Dutta, K Naga Sathwik
article en

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.

Iconic Research and Engineering JournalsVol. 9(9)
Openalex Percentile: Top 10%
IoT and GPS-based Vehicle Safety Systems
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An Intelligent Emergency Response Framework for Ambulance Priority Routing Using Real-Time GPS Tracking and Traffic Signal Preemption — Kameswar Reddy, Koushik V, et al. · Iconic Research and Engineering Journals (2026) | TGRS Research Map | TGRS