Abstract:
This paper presents an ideal dynamic user-optimal (DUO) route choice model for predicting dynamic traffic conditions, intended for off-line Advanced Traffic Management Systems (ATMS) and Advanced Traveler Information Systems (ATIS) evaluation and implementation. The proposed ideal DUO route choice model is formulated as a variational inequality model. Variational inequality (VI) models provide the most generalized formulation for describing a dynamic network equilibrium. Although route-based VI models have an intuitive interpretation, their computational complexity makes them intractable for realistic applications because of the route enumeration requirement. Consequently, the proposed ideal DUO route choice model is formulated as a link-based variational inequality for the need of large-scale implementations.
Using the developed diagonalization algorithm with discrete time intervals, this model is solved to convergence. Computational results and analyses from a real and large-scale traffic network, the ADVANCE Network, are presented.
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