Recursive Approaches for Online Consistency Checking and O-d Demand Updating for Real- Time Dynamic Traffic Assignment Operation

To maintain an internally consistent representation with actual traffic conditions, this paper presents an OD demand consistency checking and updating model for on-line dynamic traffic assignment operation. Both predictive and reactive approaches are proposed to minimize (1) the deviations between simulated states and real-world observations and (2) OD demand adjustment magnitude. The two objectives are combined into a weighted linear quadratic function to construct a guaranteed overdetermined optimization problem. Alternative recursive solution algorithms are presented to design an efficient feedback controller that regulates the demand input for the real-time dynamic traffic assignment simulator. The proposed model is tested using field data from the Irvine test bed network.