Strategic Deployment of Drone Centers and Fleet Size Planning for Drone Delivery in Utah
In a 2017 report by the RAND corporation, analytical methods for calculating the total energy consumed by a mix of delivery trucks and drones were developed and shown to be highly dependent on the layout of distribution centers as well as distance traveled by delivery vehicles. This suggests that the city layout, i.e., street connectivity and other network parameters, are important considerations for energy-conscious policies. While industry stakeholders must determine the market viability of drone delivery, they are not required to calculate the external and indirect costs that may be associated with this burgeoning industry. Furthermore, the unstructured airspace proposed by some stakeholders can have an undesirable monopolistic effect caused by the computational aspects of this approach. The research proposed here will produce a state-wide drone network, and hence a structured airspace, that can potentially increase the accessibility of the airspace while ensuring a higher degree of safety.
Language
- English
Project
- Status: Completed
- Funding: $80000
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Contract Numbers:
69A3551747108
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Sponsor Organizations:
Office of the Assistant Secretary for Research and Technology
University Transportation Centers Program
Department of Transportation
Washington, DC United States 20590 -
Managing Organizations:
North Dakota State University
Fargo, ND United States 58108 -
Project Managers:
Tolliver, Denver
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Performing Organizations:
Dept. of Civil and Environmental Engineering
University of Utah
Salt Lake City, UT United States -
Principal Investigators:
Liu, Cathy
- Start Date: 20201030
- Expected Completion Date: 20240731
- Actual Completion Date: 20240409
- USDOT Program: University Transportation Centers Program
- Source Data: MPC-636
Subject/Index Terms
- TRT Terms: Airspace (Aeronautics); Connectivity; Delivery vehicles; Drones; Energy consumption; Physical distribution; Warehouses
- Subject Areas: Aviation; Energy; Freight Transportation; Operations and Traffic Management; Planning and Forecasting; Vehicles and Equipment;
Filing Info
- Accession Number: 01757156
- Record Type: Research project
- Source Agency: Mountain-Plains Consortium
- Contract Numbers: 69A3551747108
- Files: UTC, RIP
- Created Date: Nov 4 2020 11:22AM