This paper introduces a novel framework for simulating disease dynamics in densely populated urban areas, incorporating mobility patterns and socio-economic factors to improve predictive accuracy for public health interventions.
An innovative approach integrating continuous traffic flow models with discrete agent-based behaviors to accurately simulate congestion scenarios in Dakar.
Evaluation of cloud-based distributed frameworks for running complex demographic simulations with millions of interacting agents.
Proposing an automated calibration pipeline utilizing genetic algorithms and neural networks to optimize agent parameters in the GAMA modeling environment.