Save A Life Maps-Traffic Clearance System for Emergency Services

Abstract

ABSTRACT The Save a Life (SAL) Maps addresses the challenge of traffic congestion affecting emergency services and provides swift response during life-critical situations. A path clearance algorithm is integrated into an application, which identifies the most optimal routes enabling emergency services to navigate efficiently. The algorithm incorporates a mechanism that uses micro services to facilitate path clearance for emergency services, provide fastest routes, assist general public in accessing emergency services, and notify the traffic police during high traffic congestion to assist by manually clearing out the path. Docker is employed to containerize the micro services, allowing for efficient deployment and management on the Google Kubernetes Engine platform. This micro services-based algorithm achieves enhanced efficiency, optimal resource utilization, real-time decision-making, scalability, adaptability and offers a reliable solution which highlight the importance of adopting path clearance algorithms and micro services architecture for ambulances enabling a more agile and responsive system.