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A recursive, cell processing model for predicting freeway travel times

Author
PATERSON, Darryn1 ; ROSE, Geoff2
[1] Transurban, 405 Lexington Ave. 43 Floor, New York, NY 10174, United States
[2] Institute of Transport Studies, Department of Civil Engineering, Building 60, Monash University, VIC 3800, Australia
Source

Transportation research. Part C, Emerging technologies. 2008, Vol 16, Num 4, pp 432-453, 22 p ; ref : 3/4 p

ISSN
0968-090X
Scientific domain
Transportation
Publisher
Elsevier, Kidlington
Publication country
United Kingdom
Document type
Article
Language
English
Author keyword
Advanced traveller information systems Macroscopic queuing Real-time travel time prediction
Keyword (fr)
Application Autoroute Durée trajet Ecoulement trafic Essai en place Essai sur modèle Etude comparative Formulation Gestion trafic Modèle prévision Système attente Système information Temps réel Trafic routier
Keyword (en)
Application Freeway Travel time Traffic flow In situ test Model test Comparative study Formulation Traffic management Forecast model Queueing system Information system Real time Road traffic
Keyword (es)
Aplicación Autopista Duración trayecto Flujo tráfico Ensayo en sitio Ensayo sobre modelo Estudio comparativo Formulación Gestión tráfico Modelo previsión Sistema fila espera Sistema información Tiempo real Tráfico carretera
Classification
Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D15 Ground, air and sea transportation, marine construction / 001D15C Road transportation and traffic

Discipline
Building. Public works. Transport. Civil engineering
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
20435894

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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