Calibration of Equilibrium Traffic Assignment Models and O-D Matrix by Network Aggregate Data
Abstract
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.
Autore Pugliese
Tutti gli autori
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CAGGIANI L , OTTOMANELLI M
Titolo volume/Rivista
ADVANCES IN INTELLIGENT AND SOFT COMPUTING
Anno di pubblicazione
2011
ISSN
1867-5662
ISBN
Non Disponibile
Numero di citazioni Wos
Nessuna citazione
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Numero di citazioni Scopus
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0
Ultimo Aggiornamento Citazioni
2017-04-23 03:20:56
Settori ERC
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Codici ASJC
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