-

 

 

 




Optimization Online





 

Endogenous stochastic optimisation for relief distribution assisted with Unmanned Aerial Vehicles

Jose Javier Escribano Macias(jose.escribano-macias11***at***imperial.ac.uk)
Nils Goldbeck(n.goldbeck14***at***imperial.ac.uk)
Pei-Yuan Hsu(p.hsu15***at***imperial.ac.uk)
Panagiotis Angeloudis(p.angeloudis***at***imperial.ac.uk)
Washington Ochieng(w.ochieng***at***imperial.ac.uk)

Abstract: Unmanned Aerial Vehicles (UAVs) are being increasingly integrated into humanitarian operations given the growing economic pressure on organisa- tions providing disaster relief. Among other applications, UAV-based damage assessment during relief delivery has been the focus of respondents, yet there is a lack of research into formalising a problem that considers both aspects simul- taneously. This paper presents a novel, endogenous stochastic vehicle routing problem that coordinates UAV deployments and relief vehicle dispatches to minimise overall mission cost. The algorithm considers uncertain damage lev- els in a transport network, with UAVs used to survey actual damage levels by performing rapid network assessment. Ground vehicles are simultaneously routed based on the information gathered by the UAVs. A greedy exact so- lution approach and an adapted Genetic Algorithm are used to solve a case study on a road network in Haiti. Both approaches provide signi cant im- provements in vehicle travel time compared to a basic deterministic approach, and are used to quantify the bene ts of UAV-assisted response.

Keywords: Relief optimisation; Endogenous uncertainty; Damage Assessment; Unmanned Aerial Vehicles

Category 1: Applications -- OR and Management Sciences (Transportation )

Citation: Imperial College London, 12/2018

Download: [PDF]

Entry Submitted: 12/01/2018
Entry Accepted: 12/01/2018
Entry Last Modified: 12/01/2018

Modify/Update this entry


  Visitors Authors More about us Links
  Subscribe, Unsubscribe
Digest Archive
Search, Browse the Repository

 

Submit
Update
Policies
Coordinator's Board
Classification Scheme
Credits
Give us feedback
Optimization Journals, Sites, Societies
Mathematical Optimization Society