{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,24]],"date-time":"2026-01-24T18:14:04Z","timestamp":1769278444415,"version":"3.49.0"},"reference-count":48,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,7,18]],"date-time":"2022-07-18T00:00:00Z","timestamp":1658102400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,7,18]],"date-time":"2022-07-18T00:00:00Z","timestamp":1658102400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,7,18]]},"DOI":"10.23919\/annsim55834.2022.9859422","type":"proceedings-article","created":{"date-parts":[[2022,8,23]],"date-time":"2022-08-23T19:52:45Z","timestamp":1661284365000},"page":"1-12","source":"Crossref","is-referenced-by-count":10,"title":["Using Generative Adversarial Networks to Assist Synthetic Population Creation for Simulations"],"prefix":"10.23919","author":[{"given":"Srihan","family":"Kotnana","sequence":"first","affiliation":[{"name":"Westfield High School 4700 Stonecroft Blvd,Chantilly,VA,USA"}]},{"given":"David","family":"Han","sequence":"additional","affiliation":[{"name":"Cornell University,Computer Science and Mathematics,Ithaca,NY,USA"}]},{"given":"Taylor","family":"Anderson","sequence":"additional","affiliation":[{"name":"George Mason University,Geography and Geoinformation Science,Fairfax,VA,USA"}]},{"given":"Andreas","family":"Zufle","sequence":"additional","affiliation":[{"name":"George Mason University,Geography and Geoinformation Science,Fairfax,VA,USA"}]},{"given":"Hamdi","family":"Kavak","sequence":"additional","affiliation":[{"name":"George Mason University,Computational and Data Sciences,Fairfax,VA,USA"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2015.10.010"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1016\/j.trb.2016.04.007"},{"key":"ref33","article-title":"Hierarchical IPF: Generating a Synthetic Population for Switzerland","volume":"718","author":"m\u00fcller","year":"2011","journal-title":"Arbeitsbericht Verkehrs- und Raumplanung"},{"key":"ref32","first-page":"1","article-title":"Creating a Synthetic Population","author":"moeckel","year":"2003","journal-title":"In Proceedings of the 8th International Conference on Computers in Urban Planning and Urban Management (CUPUM)"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.304"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1201\/CRCTHERSER"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1145\/3423455.3430305"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/DSAA.2016.49"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2905015"},{"key":"ref34","article-title":"An Agent Based Model Methodology for Assessing Spread and Health Systems Burden for COVID-19 Using a Synthetic Population from India","author":"narassima","year":"2020","journal-title":"medRxiv"},{"key":"ref10","first-page":"3029","article-title":"Do GANs Always Have Nash Equilibria?","author":"farnia","year":"2020","journal-title":"In International Conference on Machine Learning"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/j.trb.2018.06.002"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.trb.2013.09.012"},{"key":"ref12","first-page":"2672","article-title":"Generative Adversarial Nets","author":"goodfellow","year":"2014","journal-title":"In Advances in Neural Information Processing Systems"},{"key":"ref13","year":"2022","journal-title":"Welcome to Colaboratory&#x2014;Colaboratory"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1080\/12265934.2019.1571432"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.18564\/jasss.1909"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.tra.2020.10.006"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1214\/16-BA1047"},{"key":"ref18","article-title":"A Comparison of Synthetic Reconstruction and Combinatorial Optimisation Approaches to the Creation of Small Area Microdata","author":"huang","year":"2001"},{"key":"ref19","first-page":"1357","article-title":"Generating a Synthetic Population in Support of Agent-based Modeling of Transportation in Sydney","author":"huynh","year":"2013","journal-title":"20th Int Cong Modelling and Simulation (MODSIM 2013)"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0087144"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2019.07.006"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.trpro.2016.12.070"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/BHI.2016.7455977"},{"key":"ref6","article-title":"American Community Survey (ACS)","author":"bureau","year":"2022"},{"key":"ref29","first-page":"469","article-title":"Coupled Generative Adversarial Networks","author":"liu","year":"2016","journal-title":"In Advances in Neural Information Processing Systems"},{"key":"ref5","article-title":"Decennial Census of Population and Housing","author":"bureau","year":"2021"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1214\/aoms\/1177731829"},{"key":"ref7","article-title":"A Brief Review of Synthetic Population Generation Practices in Agent-based Social Simulation","author":"chapuis","year":"2019","journal-title":"In SSC2019 Social Simulation Conference"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/0965-8564(96)00004-3"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.compenvurbsys.2017.11.001"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.18637\/jss.v086.c02"},{"key":"ref46","article-title":"A Methodology to Match Distributions of Both Household and Person attributes in the Generation of Synthetic Populations","author":"ye","year":"2009","journal-title":"Transportation Research Board Annu Meeting"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.23919\/ANNSIM52504.2021.9552172"},{"key":"ref45","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1038\/s41598-017-17093-8","article-title":"A Synthetic Population for Modelling the Dynamics of Infectious Disease Transmission in American Samoa","volume":"7","author":"xu","year":"2017","journal-title":"Scientific Reports"},{"key":"ref48","first-page":"7354","article-title":"Self-attention Generative Adversarial Networks","author":"zhang","year":"2019","journal-title":"In International Conference on Machine Learning"},{"key":"ref22","article-title":"Copula Flows for Synthetic Data Generation","author":"kamthe","year":"2021","journal-title":"arXiv preprint arXiv 2101 06286"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2018.12.014"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/s43762-022-00034-1"},{"key":"ref42","author":"xu","year":"2020","journal-title":"Synthesizing Tabular Data using Conditional GAN"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.3141\/2563-08"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1068\/a300785"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/3442381.3449999"},{"key":"ref44","article-title":"Synthesizing Tabular Data using Generative Adversarial Networks","author":"xu","year":"2018","journal-title":"arXiv preprint arXiv 1811 11264"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1155\/2012\/716072"},{"key":"ref43","first-page":"7335","article-title":"Modeling Tabular Data Using Conditional GAN","volume":"32","author":"xu","year":"2019","journal-title":"Advances in neural information processing systems"},{"key":"ref25","author":"kunar","year":"2021","journal-title":"CTAB-GAN Effective Tabular Data Synthesizing"}],"event":{"name":"2022 Annual Modeling and Simulation Conference (ANNSIM)","location":"San Diego, CA, USA","start":{"date-parts":[[2022,7,18]]},"end":{"date-parts":[[2022,7,20]]}},"container-title":["2022 Annual Modeling and Simulation Conference (ANNSIM)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9859263\/9859270\/09859422.pdf?arnumber=9859422","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,9,12]],"date-time":"2022-09-12T20:02:20Z","timestamp":1663012940000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9859422\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,7,18]]},"references-count":48,"URL":"https:\/\/doi.org\/10.23919\/annsim55834.2022.9859422","relation":{},"subject":[],"published":{"date-parts":[[2022,7,18]]}}}