Modeling and populating virtual cities: automatic production of building models and emergency crowd simulation

buir.advisorGüdükbay, Uğur
dc.contributor.authorOğuz, Oğuzcan
dc.date.accessioned2016-01-08T18:08:35Z
dc.date.available2016-01-08T18:08:35Z
dc.date.issued2008
dc.departmentDepartment of Computer Engineeringen_US
dc.descriptionAnkara : The Department of Computer Engineering and the Institute of Engineering and Science of Bilkent University, 2008.en_US
dc.descriptionThesis (Master's) -- Bilkent University, 2008.en_US
dc.descriptionIncludes bibliographical references leaves 52-56.en_US
dc.description.abstractIn this thesis, we present an automatic building generation method based on procedural modeling approach, and a crowd animation system that simulates a crowd of pedestrians inside a city. While modeling the buildings, to achieve complex and consistent geometries we use shape grammars. The derivation process incorporates randomness so the produced models have the desired variation. The end shapes of the building models could be defined in a certain extent by the derivation rules. The behavior of human crowds inside a city is affected by the simulation scenario. In this thesis, we specifically intend to simulate the virtual crowds in emergency situations caused by an incident, such as a fire, an explosion, or a terrorist attack. We prefer to use a continuum dynamics-based approach to simulate the escaping crowd, which produces more efficient simulations than the agent-based approaches. Only the close proximity of the incident region, which includes the crowd affected by the incident, is simulated. In order to speed up the animation and visualization of the resulting simulation, we employ an offline occlusion culling technique. During runtime, we animate and render a pedestrian model only if it is visible to the user. In the pre-processing stage, the navigable area of the scene is decomposed into a grid of cells and the from-region visibility of these cells is computed with the help of hardware occlusion queries.en_US
dc.description.degreeM.S.en_US
dc.description.provenanceMade available in DSpace on 2016-01-08T18:08:35Z (GMT). No. of bitstreams: 1 0003693.pdf: 4005143 bytes, checksum: b8fbd552384b1e5906843bcf841a3b0f (MD5)en
dc.description.statementofresponsibilityOğuz, Oğuzcanen_US
dc.format.extentx, 56 leaves, illustrationsen_US
dc.identifier.itemidBILKUTUPB111312
dc.identifier.urihttp://hdl.handle.net/11693/14812
dc.language.isoEnglishen_US
dc.publisherBilkent Universityen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectProcedural modelingen_US
dc.subjectEmergencyen_US
dc.subjectCrowd simulationen_US
dc.subjectCrowd animationen_US
dc.subjectOcclusion cullingen_US
dc.subjectFrom-region visibilityen_US
dc.subject.lccQA76.9.C65 O38 2008en_US
dc.subject.lcshDigital computer simulation.en_US
dc.subject.lcshBuilding--Computer simulation.en_US
dc.titleModeling and populating virtual cities: automatic production of building models and emergency crowd simulationen_US
dc.typeThesisen_US

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
0003693.pdf
Size:
3.82 MB
Format:
Adobe Portable Document Format