Short-term traffic forecasting is driven by an increasing need of new services for user information and new systems for dynamic control. Our research focuses on reproducing anticipated traffic conditions by means of statistical methods traditionally applied in artificial intelligence problems. Although we strongly believe that the effects of specific traffic events can only be predicted through transportation model based simulations in real-time, yet the fluctuations affecting the ordinary traffic conditions of a day-type can well be forecasted without.
A hybrid method for real-time short-term predictions of traffic flows in urban areas / Attanasi, Alessandro; Meschini, Lorenzo; Pezzulla, Marco; Fusco, Gaetano; Gentile, Guido; Isaenko, Natalia. - ELETTRONICO. - (2017), pp. 878-883. (Intervento presentato al convegno 5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems, MT-ITS 2017 tenutosi a Hotel Royal Continental, Napoli, Italia nel 2017) [10.1109/MTITS.2017.8005637].
A hybrid method for real-time short-term predictions of traffic flows in urban areas
Attanasi, Alessandro;Meschini, Lorenzo;PEZZULLA, MARCO;Fusco, Gaetano;Gentile, Guido;Isaenko, Natalia
2017
Abstract
Short-term traffic forecasting is driven by an increasing need of new services for user information and new systems for dynamic control. Our research focuses on reproducing anticipated traffic conditions by means of statistical methods traditionally applied in artificial intelligence problems. Although we strongly believe that the effects of specific traffic events can only be predicted through transportation model based simulations in real-time, yet the fluctuations affecting the ordinary traffic conditions of a day-type can well be forecasted without.File | Dimensione | Formato | |
---|---|---|---|
Attanasi_Hybrid-method_2017.pdf
solo gestori archivio
Tipologia:
Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza:
Tutti i diritti riservati (All rights reserved)
Dimensione
548.01 kB
Formato
Adobe PDF
|
548.01 kB | Adobe PDF | Contatta l'autore |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.