Autonomous Aircraft Logistics: Challenges and Opportunities
The rise of autonomous vehicles of all types has created a new landscape of autonomous logistics that is rather complex and filled with uncertainties. As carriers initiated partnerships with major retailers and restaurants to deliver groceries and food with autonomous road and sidewalk robotic vehicles, the global pandemic of 2019 has solidified and accelerated those trends. These developments resulted in a blossoming new field called autonomous logistics. This research focuses on the subfield of autonomous aircraft logistics. This proposal focuses on the subfield of autonomous aircraft cargo logistics (AACL) to directly contrast it with autonomous aircraft passenger logistics or flying taxis. AACL will potentially compete with trucks and other modes of ground transportation. The competition is likely to upend business models and change the landscape for logistics. The goal of this research is to understand the scope of AACL applications, prospects for adoption, deployment challenges, and the potential implications for planners and policymaking.
Language
- English
Project
- Status: Completed
- Funding: $366000
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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:
Upper Great Plains Transportation Institute
North Dakota State University
1320 Albrecht Boulevard
Fargo, ND United States 581052 -
Principal Investigators:
Bridgelall, Raj
Tolliver, Denver
- Start Date: 20210917
- Expected Completion Date: 20240731
- Actual Completion Date: 20231106
- USDOT Program: University Transportation Centers Program
- Source Data: MPC-666
Subject/Index Terms
- TRT Terms: Autonomous vehicles; Cargo aircraft; Deployment; Logistics; Market penetration; Policy making
- Subject Areas: Aviation; Data and Information Technology; Freight Transportation; Operations and Traffic Management; Planning and Forecasting; Vehicles and Equipment;
Filing Info
- Accession Number: 01782709
- Record Type: Research project
- Source Agency: Mountain-Plains Consortium
- Contract Numbers: 69A3551747108
- Files: UTC, RIP
- Created Date: Sep 23 2021 11:25AM