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How to generate micro-agents? A deep generative modeling approach to population synthesis · Study

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ArticleHow to generate micro-agents? A deep generative modeling approach to population synthesis

Stanislav S. Borysov2019

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Articlegreen2019

How to generate micro-agents? A deep generative modeling approach to population synthesis

Stanislav S. Borysov · Francisco C. Pereira

99 citations·0/0 files stored·Transportation Research Part C Emerging Technologies

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demographic modeling and climate adaptation Transportation Planning and Optimization Human Mobility and Location-Based Analysis

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References

2001Activity-based disaggregate travel demand model system with activity schedules 2005The Effects of Urban Spatial Structure on Travel Demand in the United States 1996Creating synthetic baseline populations 2002Urban Form and Travel Behaviour: Micro-level Household Attributes and Residential Context 2001Relationships between Land Use, Socioeconomic Factors, and Travel Patterns in Britain 2013Simulation based population synthesis 2015A Bayesian network approach for population synthesis 2017A Generative Model of Urban Activities from Cellular Data

Cited by

2020Deep neural networks for choice analysis: Extracting complete economic information for interpretation 2020Prediction of rare feature combinations in population synthesis: Application of deep generative modelling 2020Comparing Methods for Generating a Two-Layered Synthetic Population 2021Variational embedding of a hidden Markov model to generate human activity sequences 2023A holistic data-driven framework for developing a complete profile of bus passengers

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2020Prediction of rare feature combinations in population synthesis: Application of deep generative modellingarticle · 5 shared references 2013A spatial microsimulation approach for the analysis of commuter patterns: from individual to regional levelsarticle · 4 shared references 2016Population Synthesis Using Iterative Proportional Fitting (IPF): A Review and Future Researcharticle · 4 shared references 2018A hierarchical mixture modeling framework for population synthesisarticle · 4 shared references 2020Comparing Methods for Generating a Two-Layered Synthetic Populationarticle · 4 shared references 2016Enhanced Synthetic Population Generator That Accommodates Control Variables at Multiple Geographic Resolutionsarticle · 4 shared references

Details

Year2019

Typearticle

Published2019-07-17

VenueTransportation Research Part C Emerging Technologies

ISSN-L0968-090X

Languageen

Citations99

Files0 public / 0

Shelfdemographic modeling and climate adaptation

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doi10.1016/j.trc.2019.07.006

openalex_workW2958110591

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2020Introducing synthetic pseudo panels: application to transport behaviour dynamics

2023Integrating future trends and uncertainties in urban mobility design via data-driven personas and scenarios

2025Collaborative generative adversarial networks for fusing household travel survey and smart card data to generate heterogeneous activity schedules in urban digital twins