Show simple item record

dc.contributor.authorMusavi, Neginen_US
dc.contributor.authorTekelioğlu, K. B.en_US
dc.contributor.authorYıldız, Yıldırayen_US
dc.contributor.authorGüneş, Keremen_US
dc.contributor.authorOnural, Denizen_US
dc.coverage.spatialSan Diego, California, USAen_US
dc.date.accessioned2018-04-12T11:42:50Zen_US
dc.date.available2018-04-12T11:42:50Zen_US
dc.date.issued2016en_US
dc.identifier.urihttp://hdl.handle.net/11693/37523en_US
dc.descriptionDate of Conference: 4-8 January 2016en_US
dc.descriptionConference Name: AIAA SciTech Forum, 2016en_US
dc.description.abstractThe focus of this paper is to present a game theoretical modeling and simulation frame- work for the integration of Unmanned Aircraft Systems (UAS) into the National Airspace system (NAS). The problem of predicting the outcome of complex scenarios, where UAS and manned air vehicles co-exist, is the research problem of this work. The fundamental gap in the literature in terms of developing models for UAS integration into NAS is that the models of interaction between manned and unmanned vehicles are insufficient. These models are insufficient because a) they assume that human behavior is known a priori and b) they disregard human reaction and decision making process. The contribution of this paper is proposing a realistic modeling and simulation framework that will fill this gap in the literature. The foundations of the proposed modeling method is formed by game theory, which analyzes strategic decision making between intelligent agents, bounded rationality concept, which is based on the fact that humans cannot always make perfect decisions, and reinforcement learning, which is shown to be effective in human behavior in psychology literature. These concepts are used to develop a simulator which can be used to obtain the outcomes of scenarios consisting of UAS, manned vehicles, automation and their interactions. An analysis of the UAS integration is done with a specifically designed scenario for this paper. In the scenario, a UAS equipped with sense and avoid algorithm, moves along a predefined trajectory in a crowded airspace. Then the effect of various system parameters on the safety and performance of the overall system is investigated.en_US
dc.language.isoEnglishen_US
dc.source.titleProceedings of the AIAA SciTech Forum, 2016en_US
dc.relation.isversionofhttps://doi.org/10.2514/6.2016-1001en_US
dc.subjectBehavioral researchen_US
dc.subjectDecision makingen_US
dc.subjectDecision theoryen_US
dc.subjectGame theoryen_US
dc.subjectIntegrationen_US
dc.subjectIntelligent agentsen_US
dc.subjectReinforcement learningen_US
dc.subjectSocial sciencesen_US
dc.subjectUnmanned vehiclesen_US
dc.subjectVehiclesen_US
dc.subjectBounded rationalityen_US
dc.subjectDecision making processen_US
dc.subjectGame theoretical modelsen_US
dc.subjectNational air spacesen_US
dc.subjectNational airspace systemen_US
dc.subjectResearch problemsen_US
dc.subjectStrategic decision makingen_US
dc.subjectUnmanned aircraft systemen_US
dc.subjectUnmanned aerial vehicles (UAV)en_US
dc.titleA game theoretical modeling and simulation framework for the integration of unmanned aircraft systems in to the national airspaceen_US
dc.typeConference Paperen_US
dc.departmentDepartment of Mechanical Engineeringen_US
dc.citation.spage1en_US
dc.citation.epage11en_US
dc.identifier.doi10.2514/6.2016-1001en_US
dc.publisherAIAAen_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record