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dc.contributor.advisorYanhaona, Mohammad Nur
dc.contributor.advisorRahman, Rafeed
dc.contributor.authorDarda, Abu
dc.contributor.authorKhan, Rahat
dc.contributor.authorRaad, Ashabul Yamin
dc.date.accessioned2024-06-26T06:22:17Z
dc.date.available2024-06-26T06:22:17Z
dc.date.copyright©2023
dc.date.issued2023-09
dc.identifier.otherID 23141038
dc.identifier.otherID 20101212
dc.identifier.otherID 23141088
dc.identifier.urihttp://hdl.handle.net/10361/23599
dc.descriptionThis thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2023.en_US
dc.descriptionCataloged from PDF version of thesis.
dc.descriptionIncludes bibliographical references (pages 54-56).
dc.description.abstractAn open-source population simulator is being developed to address the limitations posed by current closed-source population simulators. The close nature of these existing simulators restricts access to demographic modeling and contact tracing, hindering individuals from predicting crowd and implementing disaster management measures. Moreover, current map services only offer traffic projections without detailed land usage information. In response to these challenges, Our simulator is capable of generating synthetic populations. The simulator aims to provide projections, forecasts, and models of diverse population behaviors under specific stimuli, such as disease outbreaks, natural disasters, and significant congestion. Additionally, we are working with US census data, and the simulator primarily focuses on the geographic area of the US, considering the availability of relevant data in Western countries. By making this simulator openly accessible, it seeks to empower both individuals and states to make informed decisions and effectively plan for various scenarios.en_US
dc.description.statementofresponsibilityAbu Darda
dc.description.statementofresponsibilityRahat Khan
dc.description.statementofresponsibilityAshabul Yamin Raad
dc.format.extent66 pages
dc.language.isoenen_US
dc.publisherBrac Universityen_US
dc.rightsBrac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission.
dc.subjectSynthetic population simulationen_US
dc.subjectUS census dataen_US
dc.subjectPublic use metadataen_US
dc.subjectNational household trip surveyen_US
dc.subject.lcshCensus data
dc.subject.lcshHuman population genetics--Computer simulation
dc.titleSynthetic population generation using census dataen_US
dc.typeThesisen_US
dc.contributor.departmentDepartment of Computer Science and Engineering, Brac University
dc.description.degreeB.Sc in Computer Science


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