计算机科学
布线(电子设计自动化)
水准点(测量)
大规模伤亡事件
启发式
拉格朗日松弛
数学优化
非线性系统
放松(心理学)
毒物控制
医疗急救
数学
医学
计算机网络
人工智能
地理
自杀预防
内科学
物理
量子力学
大地测量学
作者
C.K. Chou,Wen-Chu Chiang,Albert Y. Chen
标识
DOI:10.1016/j.tre.2021.102591
摘要
The response efficiency of Emergency Medical Service (EMS) is related to the survival rate of patients in Mass Casualty Incidents (MCIs). This study aims to reduce delays caused by congestions in the transportation network and also that in hospitals. A patient transportation and assignment model is proposed considering routing of ambulances and operational conditions of hospitals for an efficient MCI response. The proposed model is composed of a Cell Transmission Model (CTM) and a nonlinear treatment impedance function. A Lagrangian heuristic is utilized to expedite model solution by decomposing the problem into two relatively tractable sub-problems: one linear and the other nonlinear. The linear sub-problem is solved by the simplex algorithm, and is related to ambulance routing, while the nonlinear sub-problem is solved by a gradient projection algorithm for the optimization of patients’ hospital assignment. A case study and several benchmark networks were tested, and the proposed methodology outperformed a typical Lagrangian Relaxation approach. This work has the potential to enable a more efficient patient assignment in MCIs.
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