Abstract: Realtime dynamic OD matrix is an important input for dynamic traffic assignment system. This paper built a new statespace model whose measurement equation will take the interaction detection data into account, and proposed a onestep prediction Kalmanfiltering model to achieve this target. The case study shows that including the interaction data into the measurement equation will give a more accurate estimation and prediction and a simulationbased assignment matrix will give a more accurate reflection on how many volumes are detected by certain facility.  

Key words: dynamic traffic assignment(DTA), statespace model, Kalman filtering, simulation