Abstract
Dynamic origin-destination (OD) demand is important input to many simulation models applied within dynamic traffic management systems (DTMS) for predicting traffic states on the network. The inability to provide high-quality dynamic OD demand estimates makes prediction with simulation models simply impossible, irrespective of how well these models have been calibrated. This thesis presents methods regarding the provision of efficient and reliable dynamic OD demand information for DTMS applications. (Author/publisher)