Assessment of Parcel Delivery Systems Using Unmanned Aerial Vehicles (Phase II)
The project will evaluate alternative parcel delivery methods that use unmanned aerial vehicles (UAVs). The different methods to be evaluated include UAVs operating independent from ground vehicle delivery, mobile depots where ground vehicles are equipped with UAVs that aid in the delivery process, and data driven approaches where the UAV provides information on the traffic state to improve vehicle route choice and UAV deployment decisions. The delivery systems will be evaluated under different levels of demand and considering different UAV capabilities in terms of range and allowable parcel size. The current objectives of the project include assessment of different parcel delivery systems that exploit drone traffic monitoring and delivery capabilities. Specifically, the project team is developing open loop control algorithms for adaptive drone deployment and truck routing. The resulting strategies are compared against exiting delivery mechanisms that do not incorporate traffic congestion. As an extension for this project, the team will evaluate novel probabilistic modeling procedures as well as techniques for estimating the probability of non-recurrent congestion at incident prone locations.
Language
- English
Project
- Status: Completed
- Funding: $97500
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Contract Numbers:
69A3551747133
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Sponsor Organizations:
Center for Advanced Multimodal Mobility Solutions and Education
University of North Carolina, Charlotte
Charlotte, NC United States 28223Office of the Assistant Secretary for Research and Technology
University Transportation Centers Program
Department of Transportation
Washington, DC United States 20590 -
Managing Organizations:
University of North Carolina, Charlotte
Department of Civil and Environmental Engineering
9201 University City Boulevard
Charlotte, NC United States 28223-0001 -
Project Managers:
Fan, Wei
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Performing Organizations:
University of Texas at Austin
Austin, TX United States 78712 -
Principal Investigators:
Boyles, Stephen
- Start Date: 20181001
- Expected Completion Date: 20200930
- Actual Completion Date: 20200930
Subject/Index Terms
- TRT Terms: Data collection; Delivery service; Drones; Evaluation and assessment; Image processing; Optimization; Routing; Traffic data; Traffic models; Trucks
- Identifier Terms: Traffic Information and Prediction System
- Subject Areas: Aviation; Data and Information Technology; Freight Transportation; Highways; Operations and Traffic Management;
Filing Info
- Accession Number: 01699720
- Record Type: Research project
- Source Agency: Center for Advanced Multimodal Mobility Solutions and Education
- Contract Numbers: 69A3551747133
- Files: UTC, RIP
- Created Date: Mar 25 2019 10:14AM