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September 10, 2025

Designing a Smart Emergency Framework for Indian Cities: A Data-Driven GIS Approach to Optimized Vehicle Dispatch and Routing

Key Points

Response times can be reduced by up to 35%, improving emergency medical service efficiency.
The framework utilizes GIS and real-time traffic management to enhance ambulance routing.
Simulation results from Bangalore demonstrate the practical impact and scalability of the proposed system.
The approach emphasizes a shift from reactive to proactive emergency response models for Indian cities.

Abstract

This study proposes a smart emergency response framework tailored for Indian cities, aiming to reduce ambulance delays through dynamic routing and real-time traffic management. Leveraging Geographic Information Systems (GIS), predictive analytics, and tools like OpenStreetMap and ISRO’s Bhuvan, the framework integrates accident hotspot mapping, live congestion data, and green corridor activation. A Bangalore-based simulation showed that response times could be cut by up to 35%. The system architecture includes real-time GPS tracking, adaptive signal control, and a predictive dashboard. Results demonstrate the potential for scalable, data-driven reforms in emergency dispatch—shifting from reactive to proactive models that can save lives.

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