Title:
An Integrated Decision-Making Framework for Transportation Architectures: Application to Aviation Systems Design

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dc.contributor.advisor Schrage, Daniel P.
dc.contributor.advisor Mavris, Dimitri N.
dc.contributor.author Lewe, Jung-Ho en_US
dc.contributor.committeeMember Pritchett, Amy R.
dc.contributor.committeeMember DeLaurentis, Daniel A.
dc.contributor.committeeMember Moore, Mark D.
dc.contributor.committeeMember Wilhite, Alan
dc.contributor.department Aerospace Engineering en_US
dc.date.accessioned 2005-07-28T18:01:09Z
dc.date.available 2005-07-28T18:01:09Z
dc.date.issued 2005-04-19 en_US
dc.description.abstract The National Transportation System (NTS) is undoubtedly a complex system-of-systems---a collection of diverse 'things' that evolve over time, organized at multiple levels, to achieve a range of possibly conflicting objectives, and never quite behaving as planned. The purpose of this research is to develop a virtual transportation architecture for the ultimate goal of formulating an integrated decision-making framework. The foundational endeavor begins with creating an abstraction of the NTS with the belief that a holistic frame of reference is required to properly study such a multi-disciplinary, trans-domain system. The culmination of the effort produces the Transportation Architecture Field (TAF) as a mental model of the NTS, in which the relationships between four basic entity groups are identified and articulated. This entity-centric abstraction framework underpins the construction of a virtual NTS couched in the form of an agent-based model. The transportation consumers and the service providers are identified as adaptive agents that apply a set of preprogrammed behavioral rules to achieve their respective goals. The transportation infrastructure and multitude of exogenous entities (disruptors and drivers) in the whole system can also be represented without resorting to an extremely complicated structure. The outcome is a flexible, scalable, computational model that allows for examination of numerous scenarios which involve the cascade of interrelated effects of aviation technology, infrastructure, and socioeconomic changes throughout the entire system. en_US
dc.description.degree Ph.D. en_US
dc.format.extent 5107180 bytes
dc.format.mimetype application/pdf
dc.identifier.uri http://hdl.handle.net/1853/6918
dc.language.iso en_US
dc.publisher Georgia Institute of Technology en_US
dc.subject Aircraft concept evaluation en_US
dc.subject Personal air vehicles
dc.subject Agent-based simulation
dc.subject Demand prediction
dc.subject Tournament Logit
dc.subject Induced travel
dc.subject Multimodal transport model
dc.subject Forecasting
dc.subject.lcsh Transportation Planning en_US
dc.subject.lcsh Aeronautics, Commercial United States Planning en_US
dc.title An Integrated Decision-Making Framework for Transportation Architectures: Application to Aviation Systems Design en_US
dc.type Text
dc.type.genre Dissertation
dspace.entity.type Publication
local.contributor.advisor Mavris, Dimitri N.
local.contributor.corporatename College of Engineering
local.contributor.corporatename Daniel Guggenheim School of Aerospace Engineering
local.relation.ispartofseries Doctor of Philosophy with a Major in Aerospace Engineering
relation.isAdvisorOfPublication d355c865-c3df-4bfe-8328-24541ea04f62
relation.isOrgUnitOfPublication 7c022d60-21d5-497c-b552-95e489a06569
relation.isOrgUnitOfPublication a348b767-ea7e-4789-af1f-1f1d5925fb65
relation.isSeriesOfPublication f6a932db-1cde-43b5-bcab-bf573da55ed6
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