Unmanned Vehicle Logistics Modeling: Results and Integration

Authors: Daniel Turner*, University of Alabama, Kevin Curtin, University of Alabama Department of Geography
Topics: Spatial Analysis & Modeling, Military Geography, Quantitative Methods
Keywords: unmanned vehicles, logistics, location science, military, integrative data science, complexity
Session Type: Paper
Day: 4/3/2019
Start / End Time: 9:55 AM / 11:35 AM
Room: Washington 4, Marriott, Exhibition Level
Presentation File: No File Uploaded


The Autonomous Logistics Operations Family of Tools (ALOFT) is a project to build a testbed and toolset for exploring efficient autonomous vehicle platform mixes for United States Marine Corps logistical support missions. It is an integrative project combining the spatial analytic and visualization strengths of Geographic Information Science with the modeling and solution procedures of Location Science and Operations Research. Given different mixes of unmanned air, sea, and land vehicles with different ranges, capacities, and other performance and operation characteristics, routing and scheduling plans are calculated for different scenarios and evaluated for efficiency. Scenarios using exclusively small unmanned aerial vehicles have been explored, and present unique challenges. Key aspects of the research method and initial results will be presented, as well as details regarding the technical integration of ArcMap with Gurobi Optimizer.

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