Strategic Deployment of Drone Centers and Fleet Size Planning for Drone Delivery

Sacharny, David; Liu, Xiaoyue Cathy; University of Utah. Department of Civil and Environmental Engineering

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ROSA P serves as an archival repository of USDOT-published products including scientific findings, journal articles, guidelines, recommendations, or other information authored or co-authored by USDOT or funded partners. As a repository, ROSA P retains documents in their original published format to ensure public access to scientific information.

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Strategic Deployment of Drone Centers and Fleet Size Planning for Drone Delivery

2021-11-01
By Sacharny, David ; Liu, Xiaoyue Cathy

English

Details You May Also Like

Details:

Creators:

Sacharny, David ; Liu, Xiaoyue Cathy

Sacharny, David ; Liu, Xiaoyue Cathy Less -
Corporate Creators:

University of Utah. Department of Civil and Environmental Engineering
Corporate Contributors:

United States. Department of Transportation. Federal Highway Administration ; Utah. Department of Transportation. Research and Innovation Division

United States. Department of Transportation. Federal Highway Administration ; Utah. Department of Transportation. Research and Innovation Division Less -
Subject/TRT Terms:

[+]

Airspace (Aeronautics) Connectivity Delivery Vehicles Drones Energy Consumption Physical Distribution Warehouses
Publication/ Report Number:

UT- 21.33
Resource Type:

Tech Report
Geographical Coverage:

Utah ; United States

Utah ; United States Less -
Edition:

September 2020 – November 2021
Corporate Publisher:

Utah Department of Transportation
Abstract:

This research project produces a statewide airspace network, delivery schedule, and truck/drone fleet mix. The airspace network is optimized to ensure that drones are strategically deconflicted as required by NASA and the total energy over that day is minimized. Such an airspace network is realized in a web-based platform, named the Utah Advanced Air Mobility Simulator (UAAMS). UAAMS enables researchers, planners and practitioners to record and update assumptions about the distribution of vertiports, traffic, population, and other requirements that may affect the operation of the transportation network. These parameters are important not only for considering the feasibility of Unmanned Aircraft Systems (UAS) package delivery within the state, but also for determining the impact and ultimately the efficient operation of drone delivery. UAAMS allows UDOT to assess different assumptions of the model and run “what-if” scenarios by generating animation of the optimized airspace network. The platform provides the state with more clarity about the energy impacts of large-scale drone delivery, as well as a viable airspace network. The tool can further inform the UDOT Division of Aeronautics to develop policies and negotiate with industry stakeholders
Format:

PDF
Funding:

219045
Collection(s):

US Transportation Collection
Main Document Checksum:

[+]

urn:sha256:9e118a4dc6728a2e6c819a44924c1af42701dd2d69e34ef2b5a5b08eafe143eb
Download URL:

https://rosap.ntl.bts.gov/view/dot/60874/dot_60874_DS1.pdf
File Type:

[PDF-3.23 MB]