We introduce a facility-location allocation model to design a drone-based environmental response network, where are used to verify complaints and to gather information to support emergency response missions. Assuming a centralized network operated out-of-sight, we propose a discrete facility location-allocation model with mobile servers that seeks to find the minimal cost configuration that meets response time targets. A case study is conducted for the municipality of Ji-Parana, in the Brazilian Amazon, using spatiotemporal data from satellite imagery and mobile data. Sensitivity analysis is conducted to understand how the model performs under various demand scenarios and capacity restrictions.
机构:
George Washington Univ, Sch Engn & Appl Sci, 800 22nd St, Washington, DC 20052 USAGeorge Washington Univ, Sch Engn & Appl Sci, 800 22nd St, Washington, DC 20052 USA
Custodio, Janiele
Abeledo, Hernan
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机构:
George Washington Univ, Sch Engn & Appl Sci, 800 22nd St, Washington, DC 20052 USAGeorge Washington Univ, Sch Engn & Appl Sci, 800 22nd St, Washington, DC 20052 USA
机构:
Florida State Univ, Dept Modern Languages & Linguist, Portuguese Program, Tallahassee, FL 32306 USAFlorida State Univ, Dept Modern Languages & Linguist, Portuguese Program, Tallahassee, FL 32306 USA