Process oriented dynamic activity-based travel demand model

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In many Canadian cities, strong economic growth and rapidly changing socio-demographic structures are creating enormous pressure on urban transportation systems. Such situations demand proper maintainance of exististing transportation systems and also building new transportation infrastructures. In order to maintain existing systems efficiently and develop new infrastructures sustainably, we need analytical models that can predict the evolution of demands for urban transportation in future. Existing state-of-the art model, known as activity-based travel demand model fails to replicate complex travel patterns over a short-term time period. It is necessary to develop a new methodology for activity-based travel demand model that can replicate reliably the evolution of peoples' activity/travel patterns over short- to medium- and long-term time periods.