User-oriented travel time prediction using grey system and real-time vehicle detector data

dc.citation.epage	1056	en_US
dc.citation.spage	1053	en_US
dc.citation.volume	4A-4B	en_US
dc.contributor.author	Jou, Yow-Jen	en_US
dc.contributor.author	Lan, Chien-Lun	en_US
dc.contributor.department	統計學研究所	zh_TW
dc.contributor.department	Institute of Statistics	en_US
dc.date.accessioned	2014-12-08T15:25:27Z
dc.date.available	2014-12-08T15:25:27Z
dc.date.issued	2005	en_US
dc.description.abstract	Real-time travel information is increasingly important for ITS. Many high-valued time-sensitive applications can take advantage from this real-time information. This paper describes an approach to estimate travel time with Grey System. Combined with real-time vehicle detector data, wireless communication ability and global positioning system, individual driving preference is then measured and been used to adjust the estimation model. An empirical result is shown at the end of this paper and shows a satisfying result.	en_US
dc.identifier.isbn	90-6764-443-9	en_US
dc.identifier.issn	1573-4196	en_US
dc.identifier.journal	Advances in Computational Methods in Sciences and Engineering 2005, Vols 4 A & 4 B	en_US
dc.identifier.uri	https://ir.lib.nycu.edu.tw/handle/11536/17852
dc.identifier.wosnumber	WOS:000238054400253
dc.language.iso	en_US	en_US
dc.subject	Grey System	en_US
dc.subject	travel time prediction	en_US
dc.title	User-oriented travel time prediction using grey system and real-time vehicle detector data	en_US
dc.type	Proceedings Paper	en_US

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