Humanitarian logistics : pre-positioning of relief items in Istanbul

Download

index.pdf

Date

2014

Author

Konu, Ayşe Sinem

Metadata

Show full item record

Item Usage Stats

255
views

110
downloads

In this study, we address mission planning for aerial reconnaissance and surveillance platforms. In Aerial Surveillance Problem (ASP), an air platform with surveillance sensors searches a specified number of rectangular areas once by covering inside of rectangles in strips and turns back to base where it starts. This study proposes methods to solve ASP with two conflicting objectives, minimizing distance travelled and maximizing minimum probability of target detection. Computational results show that the proposed methods produce high quality solutions. We propose an interactive procedure to help decision maker choose the most satisfying solution among all the pareto optimal solutions.

Subject Keywords

Earthquake relief., Disaster relief., Warehouses, Emergency management., Emergency transportation.

URI

http://etd.lib.metu.edu.tr/upload/12616755/index.pdf
https://hdl.handle.net/11511/23246

Collections

Graduate School of Natural and Applied Sciences, Thesis

Suggestions

OpenMETU
Core

Multiobjective aerial surveillance problem Maraş, Güliz; Karasakal, Esra; Karasakal, Orhan; Department of Industrial Engineering (2013) In this study, we address mission planning for aerial reconnaissance and surveillance platforms. In Aerial Surveillance Problem (ASP), an air platform with surveillance sensors searches a specified number of rectangular areas once by covering inside of rectangles in strips and turns back to base where it starts. This study proposes methods to solve ASP with two conflicting objectives, minimizing distance travelled and maximizing minimum probability of target detection. Computational results show that the pr...
Coordinated guidance for multiple UAVs Cakici, Ferit; Ergezer, Halit; Irmak, Ufuk; Leblebicioğlu, Mehmet Kemal (2016-05-01) This paper addresses the path planning problem of multiple unmanned aerial vehicles (UAVs). The paths are planned to maximize collected amount of information from desired regions (DRs), while avoiding forbidden regions (FRs) and reaching the destination. This study focuses on maximizing collected information instead of minimizing total mission time, as in previous studies. The problem is solved by a genetic algorithm (GA) with the proposal of novel evolutionary operators. The initial populations are generat...
Vision-Based Detection and Distance Estimation of Micro Unmanned Aerial Vehicles Gökçe, Fatih; Üçoluk, Göktürk; Şahin, Erol; Kalkan, Sinan (MDPI, ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND, 2015-9) Detection and distance estimation of micro unmanned aerial vehicles (mUAVs) is crucial for (i) the detection of intruder mUAVs in protected environments; (ii) sense and avoid purposes on mUAVs or on other aerial vehicles and (iii) multi-mUAV control scenarios, such as environmental monitoring, surveillance and exploration. In this article, we evaluate vision algorithms as alternatives for detection and distance estimation of mUAVs, since other sensing modalities entail certain limitations on the environment...
Unmanned Aerial Vehicle Domain: Areas of Research Demir, Kadir Alpaslan; Cicibas, Halil; ARICA, NAFİZ (2015-07-01) Unmanned aerial vehicles (UAVs) domain has seen rapid developments in recent years. As the number of UAVs increases and as the missions involving UAVs vary, new research issues surface. An overview of the existing research areas in the UAV domain has been presented including the nature of the work categorised under different groups. These research areas are divided into two main streams: Technological and operational research areas. The research areas in technology are divided into onboard and ground techno...
UAV routing for reconnaissance mission: A multi-objective orienteering problem with time-dependent prizes and multiple connections Dasdemir, Erdi; Batta, Rajan; Köksalan, Mustafa Murat; TEZCANER ÖZTÜRK, DİCLEHAN (2022-09-01) © 2022 Elsevier LtdWe address the route planning problem of an unmanned air vehicle (UAV) tasked with collecting information from a radar-monitored environment for a reconnaissance mission. The UAV takes off from a home base, visits a set of targets, and finishes its movement at a final base. Collectable information at a target depends on the time the target is visited by the UAV. There are multiple trajectory alternatives between the target pairs with different travel time and threat attributes. A route pl...

Citation Formats

A. S. Konu, “Humanitarian logistics : pre-positioning of relief items in Istanbul ,” M.S. - Master of Science, Middle East Technical University, 2014.