Synthetic population generation using census data

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2023.

Bibliografski detalji
Glavni autori: Darda, Abu, Khan, Rahat, Raad, Ashabul Yamin
Daljnji autori: Yanhaona, Mohammad Nur
Format: Disertacija
Jezik:English
Izdano: Brac University 2024
Teme:
Online pristup:http://hdl.handle.net/10361/23599
id 10361-23599
record_format dspace
spelling 10361-235992024-06-26T21:03:56Z Synthetic population generation using census data Darda, Abu Khan, Rahat Raad, Ashabul Yamin Yanhaona, Mohammad Nur Rahman, Rafeed Department of Computer Science and Engineering, Brac University Synthetic population simulation US census data Public use metadata National household trip survey Census data Human population genetics--Computer simulation This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2023. Cataloged from PDF version of thesis. Includes bibliographical references (pages 54-56). 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. Abu Darda Rahat Khan Ashabul Yamin Raad B.Sc in Computer Science 2024-06-26T06:22:17Z 2024-06-26T06:22:17Z ©2023 2023-09 Thesis ID 23141038 ID 20101212 ID 23141088 http://hdl.handle.net/10361/23599 en Brac 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. 66 pages application/pdf Brac University
institution Brac University
collection Institutional Repository
language English
topic Synthetic population simulation
US census data
Public use metadata
National household trip survey
Census data
Human population genetics--Computer simulation
spellingShingle Synthetic population simulation
US census data
Public use metadata
National household trip survey
Census data
Human population genetics--Computer simulation
Darda, Abu
Khan, Rahat
Raad, Ashabul Yamin
Synthetic population generation using census data
description This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2023.
author2 Yanhaona, Mohammad Nur
author_facet Yanhaona, Mohammad Nur
Darda, Abu
Khan, Rahat
Raad, Ashabul Yamin
format Thesis
author Darda, Abu
Khan, Rahat
Raad, Ashabul Yamin
author_sort Darda, Abu
title Synthetic population generation using census data
title_short Synthetic population generation using census data
title_full Synthetic population generation using census data
title_fullStr Synthetic population generation using census data
title_full_unstemmed Synthetic population generation using census data
title_sort synthetic population generation using census data
publisher Brac University
publishDate 2024
url http://hdl.handle.net/10361/23599
work_keys_str_mv AT dardaabu syntheticpopulationgenerationusingcensusdata
AT khanrahat syntheticpopulationgenerationusingcensusdata
AT raadashabulyamin syntheticpopulationgenerationusingcensusdata
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