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OPTIMIZATION MODELS FOR RUNWAY LOCATION, ORIENTATION AND LONGITUDINAL-GRADE DESIGN

dc.contributor.advisorSchonfeld, Paulen_US
dc.contributor.authorZhou, Tongen_US
dc.date.accessioned2014-06-26T05:45:48Z
dc.date.available2014-06-26T05:45:48Z
dc.date.issued2014en_US
dc.identifier.urihttp://hdl.handle.net/1903/15497
dc.description.abstractAirfield design is challenging for several reasons. It is limited by various constraints, such as airport usability, airspace clearance standards and geometric specifications. In addition, many factors must be considered, such as environmental issues, construction cost, obstructions, winds, runway exits and airport accessibility. The conventional runway design process relies on trial-and-error. It is laborious and usually suboptimal. Thus a mathematical model can help reduce the design time and improve the design quality. In this thesis, three models are developed for runway design optimization. The first model identifies feasible runway orientations based on crosswind limitations, the second optimizes runway location and orientation, and the third optimizes runway longitudinal-grade design. Various constraints and cost components are considered in the models. Genetic algorithms (GAs) are adopted in order to solve this problem, while a "Feasible Gates" method is used to reduce the search space and enhance computation efficiency.en_US
dc.language.isoenen_US
dc.titleOPTIMIZATION MODELS FOR RUNWAY LOCATION, ORIENTATION AND LONGITUDINAL-GRADE DESIGNen_US
dc.typeThesisen_US
dc.contributor.publisherDigital Repository at the University of Marylanden_US
dc.contributor.publisherUniversity of Maryland (College Park, Md.)en_US
dc.contributor.departmentCivil Engineeringen_US
dc.subject.pqcontrolledCivil engineeringen_US
dc.subject.pqcontrolledTransportation planningen_US
dc.subject.pquncontrolledAirport runwayen_US
dc.subject.pquncontrolledFeasible Gatesen_US
dc.subject.pquncontrolledGenetic Algorithmen_US
dc.subject.pquncontrolledLocationen_US
dc.subject.pquncontrolledLongitudinal-grade Designen_US
dc.subject.pquncontrolledOrientationen_US


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