In this paper a Generalized Least Square estimator for the simultaneous estimation of O-D matrix and equilibrium traffic assignment model parameters is presented. The problem is formulated as fixed-point model (equilibrium programming) assuming the congested network case. In the optimization step the variability of both O-D demand vector and the matrix of link choice probabilities is considered. We assume as input information a set of observable network data, such as link traffic counts and travel time, as well starting estimates of both O-D matrix and models parameters. Along the paper, the theoretical aspects of the proposed estimator, the solution algorithm as well as the results of numerical applications are discussed.
|Titolo:||Calibration of Equilibrium Traffic Assignment Models and O-D Matrix by Network Aggregate Data|
|Titolo del libro:||Soft Computing in Industrial Applications|
|Data di pubblicazione:||2011|
|Digital Object Identifier (DOI):||http://dx.doi.org/10.1007/978-3-642-20505-7_32|
|Appare nelle tipologie:||2.1 Contributo in volume (Capitolo o Saggio)|