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

  • 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

Ultimo Aggiornamento Citazioni

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Numero di citazioni Scopus

Non Disponibile

0

Ultimo Aggiornamento Citazioni

2017-04-23 03:20:56


Settori ERC

Non Disponibile

Codici ASJC

Non Disponibile