ARCOLOGY OPTIMIZATION AND SIMULATION FRAMEWORK

Simple item page
dc.contributor.advisorAustin, Marken_US
dc.contributor.authorAndruscavage, Rowin Warinen_US
dc.contributor.departmentSystems Engineeringen_US
dc.contributor.publisherDigital Repository at the University of Marylanden_US
dc.contributor.publisherUniversity of Maryland (College Park, Md.)en_US
dc.date.accessioned2008-04-22T16:00:29Z
dc.date.available2008-04-22T16:00:29Z
dc.date.issued2007-11-06en_US
dc.description.abstractArcology design combines urban planning and architecture with the mechanics of ecology. The physical design of an arcology would encompass the creation of a "hyperstructure" that delivers utility and transportation infrastructure in a highly integrated compact package. This thesis defines and describes a prototype simulation framework that would execute and evaluate intelligent demand-responsive multimodal mass transit schemes. Given a set of connected nodes serviced by different fleets of vehicles, a global optimizer attempts to generate a coordinated fleet schedule that meets various demand patterns. Factorial design of experiments and parametric analysis on the resulting simulated performance data of several simplified 1D and 2D scenarios help identify significant system design variables, including the number and size of the vehicle fleet, station configuration, transit network topology, and initial distribution of travel demand between station nodes. This tool explores the effectiveness of transit-oriented design paradigms supporting arcologies and other urban forms.en_US
dc.format.extent2299445 bytes
dc.format.mimetypeapplication/pdf
dc.identifier.urihttp://hdl.handle.net/1903/7573
dc.language.isoen_US
dc.subject.pqcontrolledEngineering, System Scienceen_US
dc.subject.pqcontrolledTransportationen_US
dc.subject.pqcontrolledUrban and Regional Planningen_US
dc.subject.pquncontrolledcompact cityen_US
dc.subject.pquncontrolledtransit oriened designen_US
dc.subject.pquncontrolledarcologiesen_US
dc.subject.pquncontrolledmass transiten_US
dc.titleARCOLOGY OPTIMIZATION AND SIMULATION FRAMEWORKen_US
dc.typeThesisen_US

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
umi-umd-4613.pdf
Size:
2.19 MB
Format:
Adobe Portable Document Format
Download

Collections

UMD Theses and Dissertations
Computer Science Theses and Dissertations