Meuse: An origin-destination matrix estimator that exploits structure

Micahel Bierlaire; Philippe Toint

Meuse: An origin-destination matrix estimator that exploits structure

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Résumé

This article proposes an improvement of existing methods of origin-destination matrix estimation by an explicit use of data describing the structure of the matrix. These data can be obtained from parking surveys. The new model is applied on both illustrative and real examples, and the results are discussed. Comparisons with the results obtained with SATURN/ME2 and the generalized least-squares method are also presented. © 1994.

langue originale	Anglais
Pages (de - à)	47-60
Nombre de pages	14
journal	Transportation Research Part B : Methodological
Volume	29
Numéro de publication	1
Etat de la publication	Publié - 1 févr. 1995

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Optimisation de carrefours urbains
TOINT, P.
1/09/00 → 31/12/01
Projet: Recherche

Optimization for random utility models
Auteur: Bierlaire-Hancotte, M., 1996
Superviseur: Toint, P. (Promoteur), Polak, J. (Personne externe) (Jury) & Axhausen, K. (Personne externe) (Jury)
Student thesis: Doc types › Docteur en Sciences

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title = "Meuse: An origin-destination matrix estimator that exploits structure",

abstract = "This article proposes an improvement of existing methods of origin-destination matrix estimation by an explicit use of data describing the structure of the matrix. These data can be obtained from parking surveys. The new model is applied on both illustrative and real examples, and the results are discussed. Comparisons with the results obtained with SATURN/ME2 and the generalized least-squares method are also presented. {\textcopyright} 1994.",

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AB - This article proposes an improvement of existing methods of origin-destination matrix estimation by an explicit use of data describing the structure of the matrix. These data can be obtained from parking surveys. The new model is applied on both illustrative and real examples, and the results are discussed. Comparisons with the results obtained with SATURN/ME2 and the generalized least-squares method are also presented. © 1994.

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M3 - Article

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SP - 47

EP - 60

JO - Transportation Research Part B : Methodological

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IS - 1

ER -

Meuse: An origin-destination matrix estimator that exploits structure

Résumé

Accès au document

Autres fichiers et liens

Empreinte digitale

Projets

Optimisation de carrefours urbains

Thèses de l'étudiant

Optimization for random utility models

Contient cette citation