Yanhaona, Mohammad NurRahman, RafeedDarda, AbuKhan, RahatRaad, Ashabul Yamin2024-06-262024-06-26©20232023-09ID 23141038ID 20101212ID 23141088http://hdl.handle.net/10361/23599Cataloged from PDF version of thesis.Includes bibliographical references (pages 54-56).This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2023.An 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.66 pagesenBrac 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.Synthetic population simulationUS census dataPublic use metadataNational household trip surveyCensus dataHuman population genetics--Computer simulationThesis