The content discusses the implementation of a smart city solution for future 6G network deployment, focusing on enhancing emergency response systems. It emphasizes the use of AI and ML techniques to transform existing emergency response systems into intelligent interactive systems. The proposed framework covers detection, processing, storage, department operations, data fusion, ML algorithm development, and optimized operation stages. The system aims to optimize workforce demand, integrate supplementary sensors for emergency response improvement, send real-time notifications to relevant departments, and initiate prompt actions following accidents or incidents.
Key points include the utilization of advanced sensors in different application scenes such as indoor households, urban roads, and large public facilities. The article highlights the importance of multi-technology communication for efficient emergency logistics during disasters. Optimization models are discussed for effective resource management during emergencies. The proposed system also addresses shelter location decisions and traffic assignment strategies for optimal evacuation rates.
The authors suggest a holistic urban fast-response emergency strategy through a Smart City-wide Intelligent Emergency Interactive Response System. They focus on perception detection, data processing and storage, department operations application layer, data fusion with ML algorithms development stage, and optimized operation stage with adaptive signal control and vehicle re-routing strategies.
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by Anuj Abraham... alle arxiv.org 03-13-2024
https://arxiv.org/pdf/2403.07003.pdfDomande più approfondite