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Autonomous Logistics

The revolution in autonomous logistics is an anticipated transformation in high-efficiency, high-speed, and highly integrated transportation and supply-chain management systems that will rely on the deployment of unmanned and self-driving air, ground, and sea platforms. It will also rely on algorithms that enhance agent autonomy and on computational approaches to combinatorially complex location and allocation decisions. This project explores a series of interrelated logistical problems in the unmanned/autonomous context in order to anticipate and develop mitigation strategies for the challenges they represent.

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Team Spatial Patterns

This project examines the spatial characteristics of team activities, especially the movements and communications of human groups trying to accomplish specific organizational tasks. It uses computer simulation, interactive computer games, customized smartphones, and teams of human subjects in games like hide-and-seek. The project is collecting information and building concepts to help us understand why, how, and when individuals, teams, and systems of teams make choices about their locations.

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Police Patrol Design

The Center has developed a new method for determining efficient spatial distributions of police patrol areas. This method employs a traditional maximal covering formulation and an innovative backup covering formulation to provide alternative optimal solutions to police decision makers, and to address the lack of objective quantitative methods for police area design in the literature or in practice. This research demonstrates that operations research methods can be used in police decision making, presents a new backup coverage model that is appropriate for patrol area design, and encourages the integration of geographic information systems and optimal solution procedures.

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