Abstract
This study proposes an improved stochastic PFE (Path Flow Estimator) that considers explicitly traffic congestion on the network. Basically, the PFE model can estimate both the path and the OD flows from the observed link flows. The link travel cost is assumed to consist of the flow-dependent running time and the overload delay. Due to the strong influence of the observed link flow constraint, the distribution of estimated path flows is determined more by the observed link flow than by the logit-type assignment principle adopted in the PFE. This characteristic of the stochastic PFE model has been confirmed through two cases of numerical examples. And then a modified iterative balancing procedure is set out the equivalent convex programming problem.
