An Emergency Response System Based on Mobile Network User Positioning
Pages 8 - 15
Abstract
In this paper, traditional mobile user positioning methods are introduced. Then a method based on MR, XDR and other data of mobile network is proposed, which utilizes LightGBM machine learning algorithm to accurately locate mobile users. An evaluation experiment shows that MAE of this method is about 80 meters. Based on this method, an emergency response system is constructed to realize the functions of emergency region configuration, automatic data collection, user positioning, data statistics and analysis. The business process, technical architecture and main functions of the system are discuss in detail.
References
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Published In
November 2021
111 pages
ISBN:9781450390552
DOI:10.1145/3502300
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Association for Computing Machinery
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Published: 27 January 2022
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BDSIC 2021
BDSIC 2021: 2021 3rd International Conference on Big-data Service and Intelligent Computation
November 19 - 21, 2021
Xiamen, China
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