Artificial Intelligence Methodologies in Air Transportation Network Routing and Scheduling

US Transportation Collection2000PDFResearch PaperRodin, ErvinWashington University, St Louis. Department of Systems Science and Mathematics. Center for Optimization and Semantic ControlUnited States. Air Force Research Laboratory (University of New Mexico)United States. Air Force. Office of Science ResearchUnited States. Air Force. Office of Science ResearchUnited StatesArtificial intelligenceAir trafficAir transportationGeneral aviationAviationRoutes and routingSchedulingOptimizationF49620-96-1-0151F49620-96-1-0218The reason for submitting a single report for two projects is that the graduate and undergraduate students who were supported by the second of these projects, actually worked on the subject matter of the first one. This project has been an ongoing one, in collaboration with the HQ/AMC/XPY at Scott AFB. The various joint projects undertaken are presented and discussed at frequent periodic meeting the personnel of HQ/AMC/XPY and members of the Center for Optimization and Semantic Control at Washington University.121