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Joint Ground and Aerial Package Delivery Services: A Stochastic Optimization Approach
[article]
2018
arXiv
pre-print
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Therefore, this paper introduces the joint ground and aerial delivery service optimization and planning (GADOP) framework. ...
Unmanned aerial vehicles (UAVs), also known as drones, have emerged as a promising mode of fast, energy-efficient, and cost-effective package delivery. ...
In this regard, a joint ground and aerial delivery service optimization and planning emerge as an important issue. ...
arXiv:1808.04617v2
fatcat:zjsodip6sfebfdqsk2nm6k5kgy
A Scalable Last-Mile Delivery Service: From Simulation to Scaled Experiment
[article]
2021
arXiv
pre-print
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In this paper, we investigate the problem of a last-mile delivery service that selects up to N available vehicles to deliver M packages from a centralized depot to M delivery locations. ...
The objective of the last-mile delivery service is to jointly maximize customer satisfaction (minimize delivery time) and minimize operating cost (minimize total travel time) by selecting the optimal number ...
This paper investigates the problem of last-mile delivery through a centralized delivery service, which we model as a joint assignment (assigning vehicles to packages) and path planning (determining delivery ...
arXiv:2109.05995v1
fatcat:3cipeb755rfffao3skdn5dtnly
Fuzzy optimisation based symbolic grounding for service robots
2012
2012 IEEE/RSJ International Conference on Intelligent Robots and Systems
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In this research, a fuzzy optimisation based symbolic grounding approach is presented. ...
Symbolic grounding is a bridge between task level planning and actual robot sensing and actuation. ...
This approach can be wildly applicable on other applications such as Unmanned Aerial Vehicle (UAV). UVA has the potential to automate the surveillance process or the package delivery. ...
doi:10.1109/iros.2012.6385777
dblp:conf/iros/LiuLQYMG12
fatcat:oq3debuz3rbuja2xot4gcuqmpe
Survey on Aerial Radio Access Networks: Toward a Comprehensive 6G Access Infrastructure
[article]
2021
arXiv
pre-print
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Involving airborne components such as unmanned aerial vehicles, drones, and satellites, ARANs can quickly establish a flexible access infrastructure on demand. ...
In this context, the use of aerial radio access networks (ARANs) is a promising strategy to complement existing terrestrial communication systems. ...
In particular, a joint optimization of trajectory planning and resource allocation was investigated for critical data delivery in UAV-assisted vehicular networks [280] . ...
arXiv:2102.07087v2
fatcat:wbur5jckk5b43lo75dmzlxiiy4
Shipper Cooperation in Stochastic Drone Delivery: A Dynamic Bayesian Game Approach
[article]
2020
arXiv
pre-print
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With the recent technological innovation, unmanned aerial vehicles, known as drones, have found numerous applications including package and parcel delivery for shippers. ...
The uncertainties of drone breakdown and misbehavior of cooperative shippers are taken into account by using multistage stochastic programming optimization and dynamic Bayesian coalition formation game ...
Accordingly, a package delivery service becomes the most important business function in logistics. ...
arXiv:2002.03118v1
fatcat:grce4puipff5vaeg6c2ey5trae
A Tutorial on UAVs for Wireless Networks: Applications, Challenges, and Open Problems
[article]
2019
arXiv
pre-print
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Finally, various analytical frameworks and mathematical tools such as optimization theory, machine learning, stochastic geometry, transport theory, and game theory are described. ...
In a nutshell, this tutorial provides key guidelines on how to analyze, optimize, and design UAV-based wireless communication systems. ...
applications such as package delivery and virtual reality. ...
arXiv:1803.00680v2
fatcat:f6t7nwjdhfgo7lir3olfqzs7w4
Decision-Making Under Uncertainty in Multi-Agent and Multi-Robot Systems: Planning and Learning
2018
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence
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This paper discusses our work on developing principled models to represent these problems and planning and learning methods that can scale to realistic multi-agent and multi-robot tasks. ...
Multi-agent planning and learning methods are becoming increasingly important in today's interconnected world. ...
This work was partially supported by NSF award #1463945 and Air Force Contract #FA8721-05-C-0002. ...
doi:10.24963/ijcai.2018/805
dblp:conf/ijcai/Amato18
fatcat:tnwvrzq45rfmbdoda7oxn6u3fy
Bridging the Urban-Rural Connectivity Gap through Intelligent Space, Air, and Ground Networks
[article]
2022
arXiv
pre-print
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Therefore, space, air, and ground networks should all be optimized for achieving connectivity in rural areas. ...
To overcome this challenge, a variety of solutions for different situations are required. Optimizing the current networking paradigms is therefore mandatory. ...
approach for optimal drone deployment RL [39] Aerial Detection UAVs, BSs, and ground users detection CNN [40] Aerial Prediction Prediction of UAV signal strengths ANN [44] Aerial Optimize Learning Shared ...
arXiv:2202.12683v1
fatcat:jzp3kthojbdldlf5tfofvdjtxm
Optimization Modeling for Airlift Mobility
1996
Military Operations Research
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Acknowledgements It is a pleasure to acknowledge the assistance and support of several Air Force officers involved with this project: LTC Daniel Briand, LTC James Hill, LTC Robert Taft, MAJ Kevin Smith ...
, MAJ Kirk Yost, and CPT David Horton. ...
Better handling of stochastic ground times is a subject of ongoing research. ...
doi:10.5711/morj.1.4.49
fatcat:ecfi6n3zkvelnlpiyukxodof6u
Accessing From The Sky: A Tutorial on UAV Communications for 5G and Beyond
[article]
2019
arXiv
pre-print
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Several critical issues arise, including the line-of-sight (LoS) dominant UAV-ground channels and resultant strong aerial-terrestrial network interference, the distinct communication quality of service ...
serve as aerial communication platforms and users, respectively. ...
for package delivery). ...
arXiv:1903.05289v2
fatcat:tvwlivdxpra6rebdvikbrrczmm
A Survey of Recent Extended Variants of the Traveling Salesman and Vehicle Routing Problems for Unmanned Aerial Vehicles
2019
Drones
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Generally, efficiently operating a drone can be mathematically formalized as a path optimization problem under some constraints. ...
Initially introduced for military purposes, over the past few years, UAVs and related technologies have successfully transitioned to a whole new range of civilian applications such as delivery, logistics ...
Then, the authors proposed a tabu search heuristic to find sub-optimal solutions for the two-stage stochastic model. ...
doi:10.3390/drones3030066
fatcat:xzvuhjuwkva45fmgmjbk3b4osm
Handover Management of Drones in Future Mobile Networks: 6G Technologies
2021
IEEE Access
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Although they will provide several solutions related to mobile communication networks and other non-communication services, drones also possess numerous challenges, especially when it comes to their handover ...
This survey further offers a brief discussion and guidance for upcoming research directions related to connected drones in future heterogeneous networks. ...
The integration of autonomous mobility and drone-delivery can instantly solve these problems. The drone will serve for picking up the package and travelling connected to the delivery vehicle. ...
doi:10.1109/access.2021.3051097
fatcat:cxbfds3ktnaohfstigqcocaosy
Mathematical Investigation on the Sustainability of UAV Logistics
2019
Sustainability
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In this paper, we investigate how much the UAV delivery service is environmentally friendly compared to the traditional ground vehicle (GV) delivery service. ...
We present a two-phase approach. ...
[20] proposed two-stage decision models for UAV fleet deployment and planning. Stochastic demands and multi-type delivery services were considered. ...
doi:10.3390/su11215932
fatcat:tnzoidwh3zh4jhyzeiameabyoa
On the Optimal 3D Placement of a UAV Base Station for Maximal Coverage of UAV Users
[article]
2020
arXiv
pre-print
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Given a known spectrum sharing policy between the aerial and terrestrial networks, we propose a 3D placement algorithm that achieves optimality. ...
Simulation results show the performance of our approach, in terms of number of covered aerial users, for different configurations and parameters, such as the spectrum sharing policy, antenna beamwidth, ...
Meanwhile, UAV-UEs are used to accomplish new services and tasks, such as flying taxis, package delivery, video surveillance, aerial security inspection, wireless sensors data collection, etc. ...
arXiv:2008.09262v1
fatcat:7alyihr3uneonbrmxfkpvomofa
A Survey on Millimeter-Wave Beamforming Enabled UAV Communications and Networking
[article]
2021
arXiv
pre-print
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On the other hand, UAVs serving as aerial access points or relays can significantly enhance the coverage and quality of service of the terrestrial mmWave cellular networks. ...
In this paper, we provide a comprehensive survey on mmWave beamforming enabled UAV communications and networking. ...
package [45] . ...
arXiv:2104.09204v2
fatcat:rbywt5p7uzhhzg3hbc7tnln45q
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