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Maximizing the Potentials of Unmanned Aerial Vehicles (UAVs) in Sustainability

A special issue of Sustainability (ISSN 2071-1050).

Deadline for manuscript submissions: closed (31 March 2021) | Viewed by 5870

Special Issue Editors


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Guest Editor
Department of Materials and Production, Aalborg University, 9220 Aalborg, Denmark
Interests: AI for Autonomous cyber-physical systems; scheduling under uncertainty

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Guest Editor
Department of Industrial Engineering, Seoul National University, Seoul 08826, Korea
Interests: Supply Chain Management, Inventory System, Logistics
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Department of Materials and Production, Aalborg University, Aalborg, 9220, Denmark
Interests: Modeling and Simulation, Planning of autonomous vehicles, Optimization

Special Issue Information

Dear Colleagues,

Societies across the world are facing a number of challenges such as urban mobility, disaster relief, environmental monitoring, and emergency response support. By introducing new capabilities and the flexible utilization of airspace, unmanned aerial vehicles (UAVs) are a potential game changer to address challenges like these and have increasingly become part of the solutions being developed.

In recent years, UAVs in various forms and sizes and with a variety of capabilities have emerged, and UAV technology has proven itself viable and applicable in diverse areas such as defense, search and rescue, agriculture, manufacturing, environmental surveillance, healthcare, and infrastructure inspection.

In particular, as fostered by sustainability, applications of UAVs have great environmental and social impacts on our lives. UAVs are lightweight, low-cost, and require less energy compared with ground vehicles, making UAV units the key in various business models for a low-carbon future.

While UAVs as a technology show great potential in assisting in solving a number of critical societal challenges, it is also clear that this technology is still in need of development to realize its full potential. To support this advancement, we are looking for contributions to a number of critical areas and re-search into needed technology bricks. Specifically, we are looking for contributions to the following:

  • Cost/sustainability analysis of UAV deployments;
  • System design/management for services using UAVs;
  • Scheduling and planning methods for large-scale UAV fleet operations;
  • Methods and concepts for large-scale UAV fleet traffic management;
  • Emergency/disaster management using UAVs;
  • Drone applications to smart city development;
  • Green vehicle routing with UAVs;
  • Drone applications to healthcare management.

This Special Issue encourages high-quality research applying experimental, conceptual, and methodological approaches, along with literature reviews. All papers submitted will undergo a peer-review procedure, and accepted papers will be published in this Special Issue, which is expected to be published in 2021.

Prof. Peter Nielsen
Prof. Ilkyeong Moon
Dr. Inkyung Sung
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • cost/sustainability analysis of UAV deployments
  • system design/management for services using UAVs
  • scheduling and planning methods for large-scale UAV fleet operations
  • methods and concepts for large-scale UAV fleet traffic management
  • emergency/disaster management using UAVs
  • drone applications to smart city development
  • green vehicle routing with UAVs
  • drone applications to healthcare management

Published Papers (2 papers)

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Research

23 pages, 5641 KiB  
Article
Reactive UAV Fleet’s Mission Planning in Highly Dynamic and Unpredictable Environments
by Grzegorz Radzki, Izabela Nielsen, Paulina Golińska-Dawson, Grzegorz Bocewicz and Zbigniew Banaszak
Sustainability 2021, 13(9), 5228; https://doi.org/10.3390/su13095228 - 07 May 2021
Cited by 15 | Viewed by 2369
Abstract
Unmanned aerial vehicles (UAVs) create an interesting alternative for establishing more sustainable urban freight deliveries. The substitution of traditional trucks in the last-mile distribution by a UAV fleet can contribute to urban sustainability by reducing air pollution and increasing urban freight efficiency. This [...] Read more.
Unmanned aerial vehicles (UAVs) create an interesting alternative for establishing more sustainable urban freight deliveries. The substitution of traditional trucks in the last-mile distribution by a UAV fleet can contribute to urban sustainability by reducing air pollution and increasing urban freight efficiency. This paper presents a novel approach to the joint proactive and reactive planning of deliveries by a UAV fleet. We develop a receding horizon-based approach to reactive, online planning for the UAV fleet’s mission. We considered the delivery of goods to spatially dispersed customers over an assumed time horizon. Forecasted weather changes affect the energy consumption of UAVs and limit their range. Therefore, consideration should be given to plans for follow-up tasks, previously unmet needs, and predictions of disturbances over a moving time horizon. We propose a set of reaction rules that can be encountered during delivery in a highly dynamic and unpredictable environment. We implement a constraint programming paradigm, which is well suited to cope with the nonlinearity of the system’s characteristics. The proposed approach to online reactive UAV routing is evaluated in several instances. The computational experiments have shown that the developed model is capable of providing feasible plans for a UAV fleet’s mission that are robust to changes in weather and customer’s orders. Full article
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25 pages, 1894 KiB  
Article
Cost-Minimizing System Design for Surveillance of Large, Inaccessible Agricultural Areas Using Drones of Limited Range
by Luis Vargas Tamayo, Christopher Thron, Jean Louis Kedieng Ebongue Fendji, Shauna-Kay Thomas and Anna Förster
Sustainability 2020, 12(21), 8878; https://doi.org/10.3390/su12218878 - 26 Oct 2020
Cited by 5 | Viewed by 2825
Abstract
Drones are used increasingly for agricultural surveillance. The limited flight range of drones poses a problem for surveillance of large, inaccessible areas. One possible solution is to place autonomous, solar-powered charging stations within the area of interest, where the drone can recharge during [...] Read more.
Drones are used increasingly for agricultural surveillance. The limited flight range of drones poses a problem for surveillance of large, inaccessible areas. One possible solution is to place autonomous, solar-powered charging stations within the area of interest, where the drone can recharge during its mission. This paper designs and implements a software system for planning low-cost drone coverage of large areas. The software produces a feasible, cost-minimizing charging station placement, as well as a drone path specification. Multiple optimizations are required, which are formulated as integer linear programs. In extensive simulations, the resulting drone paths achieved 70–90 percent of theoretical optimal performance in terms of minimizing mission time for a given number of charging stations, for a variety of field configurations. Full article
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