 Policy makers can use activity-based models to devise strategies that reduce exposure by changing time activity patterns or that target specific groups in the population.These models are intended to forecast the effect of changes in the transport network and operations over the future location of activities, and then forecast the effect of these new locations over the transport demand.As data science and big data technologies become available to transport modelling, research is moving towards modelling and predicting behaviours of individual drivers in whole cities at the individual level.