Pattern-based short-term urban traffic predictor

Vlahogianni, EI; Karlaftis, MG; Golias, JC; Kourbelis, ND

dc.contributor.author	Vlahogianni, EI	en
dc.contributor.author	Karlaftis, MG	en
dc.contributor.author	Golias, JC	en
dc.contributor.author	Kourbelis, ND	en
dc.date.accessioned	2014-03-01T02:44:08Z
dc.date.available	2014-03-01T02:44:08Z
dc.date.issued	2006	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/31706
dc.subject	Artificial Intelligent	en
dc.subject	Data Collection	en
dc.subject	Nonlinear Dynamics	en
dc.subject	Traffic Flow	en
dc.subject.other	Artificial intelligence	en
dc.subject.other	Computational complexity	en
dc.subject.other	Data acquisition	en
dc.subject.other	Information retrieval	en
dc.subject.other	Nonlinear systems	en
dc.subject.other	Functional structure	en
dc.subject.other	Traffic flow	en
dc.subject.other	Urban traffic predictors	en
dc.subject.other	Traffic congestion	en
dc.title	Pattern-based short-term urban traffic predictor	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/ITSC.2006.1706772	en
heal.identifier.secondary	http://dx.doi.org/10.1109/ITSC.2006.1706772	en
heal.identifier.secondary	1706772	en
heal.publicationDate	2006	en
heal.abstract	Short-term Urban Traffic Predictor is a prediction system based on artificial intelligence and advanced analysis of nonlinear dynamics of short-term traffic flow. The aim is to address: (1) the need for accurate anticipated traffic information, (2) the ability to cope with various traffic conditions in an integrated up-to-date functional structure and (3) the need for accurate and timely predictive short-term traffic information in an extended time horizon in cases of data collection malfunction. The conceptual and functional framework of short-term urban traffic predictor is presented. The above are encapsulated in a user-friendly application. Finally, some interesting results regarding computational time and accuracy of recursive predictions are presented. ©2006 IEEE.	en
heal.journalName	IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC	en
dc.identifier.doi	10.1109/ITSC.2006.1706772	en
dc.identifier.spage	389	en
dc.identifier.epage	393	en