Consiglio Nazionale delle Ricerche

Tipo di prodottoArticolo in rivista
TitoloModeling and identification of nonlinear dynamics for freeway traffic by using information from a mobile cellular network
Anno di pubblicazione2009
FormatoCartaceo
Autore/iA. Alessandri; R. Bolla; M. Gaggero; M. Repetto
Affiliazioni autori1. Department of Production Engineering, Thermoenergetics, and Mathematical Models (DIPTEM), University of Genoa, I-16129 Genoa, Italy 2. Department of Communications, Computer and System Sciences (DIST), University of Genoa, I-16145 Genoa, Italy 3. Department of Production Engineering, Thermoenergetics, and Mathematical Models (DIPTEM), University of Genoa, I-16129 Genoa, Italy 4. Department of Communications, Computer and System Sciences (DIST), University of Genoa, I-16145 Genoa, Italy
Autori CNR e affiliazioni
  • MAURO GAGGERO
Lingua/e
  • inglese
AbstractThe high coverage of the territory by cellular networks and the widespread diffusion of mobile terminals aboard vehicles allow one to collect information on the traffic behavior. The problem of selecting a dynamic model to describe the freeway traffic by using the information available from a wireless cellular network is addressed by assuming the distribution of mobile terminals aboard vehicles to be uniform along the carriageway. Two different nonlinear parametrized models of freeway traffic are investigated: the first is an extension to a well-established macroscopic model, while the second is based on a black-box approach and consists in using a neural network to approximate the traffic dynamics. The parameters of such models are identified off line by a least-squares technique. Traffic measurements obtained from a cellular network are employed to identify and validate the proposed models, as shown by means of simulations.
Lingua abstractinglese
Altro abstract-
Lingua altro abstract-
Pagine da952
Pagine a959
Pagine totali8
RivistaIEEE transactions on control systems technology (Print)
Attiva dal 1993
Editore: Institute of Electrical and Electronics Engineers, - New York, NY
Paese di pubblicazione: Stati Uniti d'America
Lingua: inglese
ISSN: 1063-6536
Titolo chiave: IEEE transactions on control systems technology (Print)
Titolo proprio: IEEE transactions on control systems technology (Print)
Titolo abbreviato: IEEE trans. control syst. technol. (Print)
Titolo alternativo: Institute of Electrical and Electronics Engineers transactions on control systems technology (Print)
Numero volume della rivista17
Fascicolo della rivista5
DOI10.1109/TCST.2009.2014242
Verificato da refereeSì: Internazionale
Stato della pubblicazionePublished version
Indicizzazione (in banche dati controllate)
  • ISI Web of Science (WOS) (Codice:000267435900023)
  • Scopus (Codice:2-s2.0-67650744549)
Parole chiaveIdentification, freeway traffic, neural networks
Link (URL, URI)-
Titolo parallelo-
Licenza-
Scadenza embargo-
Data di accettazione-
Note/Altre informazioni-
Strutture CNR
  • ISSIA — Istituto di studi sui sistemi intelligenti per l'automazione
Moduli/Attività/Sottoprogetti CNR
  • SP.P06.010.001 : Monitoraggio, Controllo e ottimizzazione di impianti e sistemi complessi
Progetti Europei-
Allegati
IEEE_TCST_2009 (documento privato )
Tipo documento: application/pdf

Dati associati a vecchie tipologie
I dati associati a vecchie tipologie non sono modificabili, derivano dal cambiamento della tipologia di prodotto e hanno solo valore storico.
Editore
  • IEEE-Institute Of Electrical And Electronics Engineers Inc., Piscataway (Stati Uniti d'America)

Dati storici
I dati storici non sono modificabili, sono stati ereditati da altri sistemi (es. Gestione Istituti, PUMA, ...) e hanno solo valore storico.
Area valutazione CIVRIngegneria industriale e informatica
Rivista ISIIEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY [11365J0]