Facility Location-Allocation Problem for Emergency Medical Service With Unmanned Aerial Vehicle

This paper models an operation problem of an unmanned aerial vehicle for the emergency medical service (UEMS) system. The model is set up as a location-allocation problem. The coverage distance and capacity of the UEMS facility are modeled as functions of UAVs assigned. The allocation of the demand...

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Veröffentlicht in:	IEEE transactions on intelligent transportation systems Jg. 24; H. 2; S. 1 - 15
Hauptverfasser:	Park, Youngsoo, Lee, Sangyoon, Sung, Inkyung, Nielsen, Peter, Moon, Ilkyeong
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.02.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Autonomous aerial vehicles Branch-and-price Costs Dynamic programming emergency medical service Emergency medical services Emergency procedures Emergency services Heuristic algorithms Integer programming Knapsack problem Linear programming location-allocation Lower bounds Medical services Mixed integer Moon Optimization Resource management robust optimization unmanned aerial vehicle Unmanned aerial vehicles
ISSN:	1524-9050, 1558-0016
Online-Zugang:	Volltext
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