A Real-Time API-Driven Emergency Vehicle Navigation System Using Flask and Mapping APIs

In emergency response operations, every second is critical. Conventional navigation systems are designed for general public use and fail to meet the specialized demands of emergency vehicles such as ambulances, fire trucks, and police units — particularly with respect to real-time rerouting, priority-based path selection, and integrated emergency service support. This paper presents Emergency Vehicle Path Optimization System — an intelligent, AI-integrated real-time navigation and dispatch system built using a Python Flask backend, the Mappls MapMyIndia API suite, and a command-center-style web interface. The system delivers personalized emergency routing through autosuggest location search, vehicle-type-aware path computation, live GPS tracking with progressive route trimming, traffic congestion severity detectionA mobile-optimized drag-up bottom sheet interface and a persistent dark/light theme system ensure usability across device types.