Agent-based transport models such as MATSim have been developed and used for the past few decades to simulate transportation systems in different cities and are capable of accurately reproducing travel patterns at different levels of aggregation. Given their disaggregate representation of both travel demand and supply as well as the high level of spatial and temporal detail, agent-based transport models also have the potential to allow ...

Agent based simulation frameworks require synthetic populations to simulate traveller’s activity travel patterns. Various methods exist for population synthesis with different advantages and disadvantages. For the Greater Jakarta area, a synthetic population has previously been generated using Bayesian Network (BN) approach and Generalized Raking (GR) multilevel IPF. This approach used very large, city level marginal to fit the population ...