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A comparative study of a hybrid Logit-Fratar and neural network models for trip distribution: case of the city of Isfahan

Author
SHIR-MOHAMMADLI, M1 ; SHETAB-BUSHEHRI, S. N2 ; POORZAHEDY, H3 ; HEJAZI, S. R2
[1] Isfahan University of Technology, Isfahan, Iran, Islamic Republic of
[2] Department of Industrial Engineering, Isfahan University of Technology, Isfahan 84156-83111, Iran, Islamic Republic of
[3] Department of Civil Engineering, Sharif University of Technology, Tehran, Iran, Islamic Republic of
Source

Journal of advanced transportation. 2011, Vol 45, Num 1, pp 80-93, 14 p ; ref : 28 ref

CODEN
JATRDC
ISSN
0197-6729
Scientific domain
Transportation
Publisher
Wiley, Avenel, NJ
Publication country
United States
Document type
Article
Language
English
Keyword (fr)
Demande transport Etude cas Etude comparative Modèle hybride Modèle logit Modèle origine destination Modèle prévision Pays en développement Répartition trafic Réseau neuronal Transport urbain Transports Ville Iran Asie
Keyword (en)
Transport demand Case study Comparative study Hybrid model Logit model Origin destination model Forecast model Developing countries Modal split Neural network Urban transportation Transportation Town Iran Asia
Keyword (es)
Demanda transporte Estudio caso Estudio comparativo Modelo híbrido Modelo logit Modelo origen destinación Modelo previsión Países en desarrollo Repartición tráfico Red neuronal Transporte urbano Transportes Ciudad Iran Asia
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
23831056

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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