Probabilistic programming and data assimilation for next generation city simulation
Luke Archer, Prof. Nick Malleson, Dr. Jon Ward - University of Leeds The field of social simulation is dominated by Agent-Based Models (ABMs). Individual ‘agents’...
Search results for “”
Results 11 to 16 of 16
Procedural environment generation for agent-based models of crime
Jack Lewis, Dr Dan Birks, Dr Toby Davies - University of Leeds. This work was supported by Wave 1 of The UKRI Strategic Priorities...
SPENSER Synthetic Population Estimation and Scenario Projection Model
Gonzalo Cruz Garcia, Nik Lomax, Andrew Smith - University of Leeds SPENSER provides the framework for estimates of population which are dynamic and high resolution...
Catch! - real time simulation of daily travel patterns
Introduction The proliferation of smartphone ownership and app usage has enabled new forms of data collection about how people use transportation. Currently, data is collected...
Investigating factors behind low or zero household recycling rates in Leeds
Introduction There are large differences in the rates of household bin use in different parts of Leeds with a high level of contamination being seen...
Dynamic data assimilation in agent-based models
Introduction Agent-based models (ABMs) play a useful role in social sciences, helping us to understand emergent patterns in social and environmental systems while retaining detail...