WCSE

SCEA: A Speed-Changing based Algorithm to Optimize Decision Time for Emergency Rescue

Abstract— Decision time optimizing is a core problem during the process of disaster emergency response. Traditional methods are mainly based on expert experiences, which is lack objectiveness and error prone. In this paper, based on the practical disaster assessment results and the disaster model we built, we propose two algorithms, DCEA and SCEA, to cope with the problem. DCEA is a distance-based algorithm to convert disaster assessment results series to unevenly time series. In this algorithm, we utilize Hausdorff distance as the distance operator. Compared to DCEA, an optimized speed-changing based algorithm SCEA is proposed. Experiments on real earthquake disaster events demonstrate the effectiveness and superiority of proposed work.

Index Terms— Decision Support System, Time Series Analysis, Disaster Emergency Response

Qinyong Li
Institute of Software, China Academy of Science, CHINA
Haoming Guo
Institute of Software, China Academy of Science, CHINA
Xinjian Shan
Institute of Geology, China Earthquake Administration, CHINA
Yanyan Wei
Institute of Software, China Academy of Science, CHINA
Zhixin Wang
Institute of Software, China Academy of Science, CHINA
Jianxiu Bai
Institute of Software, China Academy of Science, CHINA
Qiuhong Zhang
Institute of Software, China Academy of Science, CHINA

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Cite: Qinyong Li, Haoming Guo, Xinjian Shan, Yanyan Wei, Zhixin Wang, Jianxiu Bai, Qiuhong Zhang , "SCEA: A Speed-Changing based Algorithm to Optimize Decision Time for Emergency Rescue ," 2021 The 11th International Workshop on Computer Science and Engineering (WCSE 2021), pp. 122-127, Shanghai, China, June 19-21, 2021.