Context-Aware Emergency Response Systems Using Cloud and AI Technologies

Abstract

Emergency response operations are increasingly influenced by rapidly changing situational factors such as location, time, environmental conditions, and resource availability. Traditional response systems often rely on static rules and delayed data aggregation, limiting their ability to adapt to evolving contexts. This paper presents a comprehensive examination of context-aware emergency response systems that leverage cloud computing and artificial intelligence to deliver timely, adaptive, and situation-sensitive decision support. By integrating real-time data streams, contextual reasoning, and scalable cloud-native services, the proposed approach enhances situational awareness, coordination efficiency, and response effectiveness across complex operational environments.