Dynamic traffic assignment models can be used to forecast traffic flows and conditions on networks, and to compute the (potential) effects of certain dynamic traffic management (DTM) measures. An important component of these models is the travel time function or speed-density function. The traditional models usually only take one vehicle type into account, which results in a number of shortcomings like the same speed for all vehicle types and the impossibility for modeling interaction between vehicle types. In this paper, the speed-density functions are extended to multi-user class (MUC) functions, in which variable passenger car unit (PCU) values and asymmetric interaction are incorporated. It is envisaged that this will cause more realistic model outcomes and therefore to better decisions concerning DTM measures. (A)
Abstract