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Nonstationary Kalman filter for estimation of accurate and consistent car-following data

Author
PUNZO, Vincenzo1 ; FORMISANO, Domenico Josto1 ; TORRIERI, Vincenzo1
[1] Department of Transportation Engineering, University of Napoli Federico II, Via Claudio, 21, 80125 Naples, Italy
Issue title
Traffic flow theory 2005
Source

Transportation research record. 2005, Num 1934, pp 3-12, 10 p ; ref : 17 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)
Affinement Collecte donnée Donnée expérimentale Ecoulement trafic Etude comparative Etude théorique Filtrage Filtre Kalman Résultat mesure Système GPS Trafic routier Suivi de véhicule
Keyword (en)
Refinement Data gathering Experimental data Traffic flow Comparative study Theoretical study Filtering Kalman filter Measurement result GPS system Road traffic Car following
Keyword (es)
Afinamiento Recolección dato Dato experimental Flujo tráfico Estudio comparativo Estudio teórico Filtrado Filtro Kalman Resultado medición Sistema GPS Tráfico carretera
Classification
Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D15 Ground, air and sea transportation, marine construction / 001D15B Transportation planning, management and economics

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
18477791

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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