X-Stream in MaDAM : new junction modelling in macroscopic dynamic traffic assignment models

Macroscopic Dynamic Traffic Assignment (MDTA) models are widely used tools to forecast the impact of proposed traffic investments. Most MDTA models were developed to be used on highways, recently however they are used in urban areas as well. A large difference between highways and roads in urban areas is the presence of junctions. This thesis describes in which way the effects of junctions can be taken into account in MDTA models. This thesis also presents the fundamentals of a new algorithm to take into account the effects of junctions in MaDAM, the MDTA model of OmniTRANS. X-Stream describes a more realistic manner in which traffic propagates at intersections. It also gives the user more influence in setting the ratio of computational time versus precision.