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Adaptive Route Choice Models in Stochastic Time-Dependent Networks

Author
SONG GAO1 ; FREJINGER, Emma2 ; BEN-AKIVA, Moshe3
[1] Department of Civil and Environmental Engineering, University of Massachusetts, Amherst, 214C Marston Hall, 130 Natural Resources Road, Amherst, MA 01003, United States
[2] Transport and Mobility Laboratory, Ecole Polytechnique Fédérale de Lausanne (EPFL-ENAC-INTER-TRANSP-OR), Station 18, 1015 Lausanne, Switzerland
[3] Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, 77 Massachusetts Avenue, 1-181, Cambridge, MA 02139, United States
Issue title
Network Modeling 2008
Source

Transportation research record. 2008, Num 2085, pp 136-143, 8 p ; ref : 32 ref

CODEN
TRREDM
ISSN
0361-1981
Scientific domain
Civil engineering; Transportation
Publisher
National Research Council, Washington, DC
Publication country
United States
Document type
Article
Language
English
Keyword (fr)
Analyse numérique Choix Dépendance du temps Exemple Itinéraire Modèle stochastique Réseau transport Spécification Transports
Keyword (en)
Numerical analysis Choice Time dependence Example Route Stochastic model Transportation network Specification Transportation
Keyword (es)
Análisis numérico Elección Dependencia del tiempo Ejemplo Itinerario Modelo estocástico Red transporte Especificación Transportes
Classification
Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D15 Ground, air and sea transportation, marine construction / 001D15B Transportation planning, management and economics

Discipline
Building. Public works. Transport. Civil engineering
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
21800411

Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS

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