A synthetic population of Sweden: datasets of agents, households, and activity-travel patterns.

ABSTRACT: A synthetic population is a simplified microscopic representation of an actual population. Statistically representative at the population level, it provides valuable inputs to simulation models (especially agent-based models) in research areas such as transportation, land use, economics, and epidemiology. This article describes the datasets from the Synthetic Sweden Mobility (SySMo) model using the state-of-art methodology, including machine learning (ML), iterative proportional fitting (IPF), and probabilistic sampling. The model provides a synthetic replica of over 10 million Swedish individuals (i.e., agents), their household characteristics, and activity-travel plans. This paper briefly explains the methodology for the three datasets: Person, Households, and Activity-travel patt

SUBMITTER: Tozluoglu C 

PROVIDER: S-EPMC10205447 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature