Real Time Traffic Prediction in Urban Traffic Networks

Presentation	2013-09-02 Real Time Traffic Prediction in Urban Traffic Networks Zilu LIANG, Yasushi WAKAHARA,
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Abstract(in Japanese)	(See Japanese page)
Abstract(in English)	Intelligent Transportation Systems (ITS) have been considered important technologies to deal with urban traffic congestion. Accurate traffic prediction is one of the critical steps in the operation of an ITS. While techniques for traffic prediction have existed for many years, the research effort has somewhat mainly been focused on highway traffic networks. Due to the fundamental difference between the traffic flow pattern on highway and that on urban roads, many of the existing models cannot be effectively applied to urban traffic prediction. In this paper, we propose an urban traffic prediction model which is easy to implement and can perform network-wide prediction in a real-time manner. The evaluation results show that our algorithm yields good prediction accuracy.
Keyword(in Japanese)	(See Japanese page)
Keyword(in English)	urban traffic prediction, traffic volume, spatial-temporal correlation, intelligent transport system
Paper #	ITS2013-13
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Paper Information
Registration To	Intelligent Transport Systems Technology (ITS)
Language	ENG
Title (in Japanese)	(See Japanese page)
Sub Title (in Japanese)	(See Japanese page)
Title (in English)	Real Time Traffic Prediction in Urban Traffic Networks
Sub Title (in English)
Keyword(1)	urban traffic prediction, traffic volume, spatial-temporal correlation, intelligent transport system
1st Author's Name	Zilu LIANG
1st Author's Affiliation	Graduate School of Engineering, The University of Tokyo()
2nd Author's Name	Yasushi WAKAHARA
2nd Author's Affiliation	Information Technology Center, The University of Tokyo
Date	2013-09-02
Paper #	ITS2013-13
Volume (vol)	vol.113
Number (no)	199
Page	pp.pp.-
#Pages	6
Date of Issue