Short-term prediction of traffic flow conditions in a multilane multiclass network.

The research described in this contribution constitutes dedicated traffic flow theory development, aimed at establishing operational models supporting the analysis of multiclass (MUC) network traffic operations (i.e. estimation and prediction) in the context of ATCS (Advanced Traffic Control Systems) and ATIS (Advanced Traffic Information Systems) under a variety of circumstances. To this end, with a concise outline of the theory of multilane multiclass (MLMC) traffic flow, we present a new model-based approach to forecasting class-specific multilane network traffic conditions. The research is aimed at an operational traffic flow model for the off-line and on-line analysis of MLMC flow operations in networks, given a specific set of dynamic traffic management measures. (Author/publisher) For the covering entry of this conference, please see ITRD abstract No. E208120.