Utilizing wireless positioning as a tracking data source

Athanasiou, S; Georgantas, P; Gerakakis, G; Pfoser, D

dc.contributor.author	Athanasiou, S	en
dc.contributor.author	Georgantas, P	en
dc.contributor.author	Gerakakis, G	en
dc.contributor.author	Pfoser, D	en
dc.date.accessioned	2014-03-01T02:46:34Z
dc.date.available	2014-03-01T02:46:34Z
dc.date.issued	2009	en
dc.identifier.issn	03029743	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/32722
dc.subject	FCD	en
dc.subject	Map matching	en
dc.subject	Tracking	en
dc.subject	Wireless positioning	en
dc.subject.other	802.11 networks	en
dc.subject.other	Experimental evaluation	en
dc.subject.other	FCD	en
dc.subject.other	Floating car data	en
dc.subject.other	Geographic areas	en
dc.subject.other	GPS data	en
dc.subject.other	GPS tracking	en
dc.subject.other	Map matching	en
dc.subject.other	Position estimates	en
dc.subject.other	Road network	en
dc.subject.other	Speed profile	en
dc.subject.other	Tools and techniques	en
dc.subject.other	Tracking	en
dc.subject.other	Tracking data	en
dc.subject.other	Travel time	en
dc.subject.other	Wireless positioning	en
dc.subject.other	Wireless positioning systems	en
dc.subject.other	Global positioning system	en
dc.subject.other	Motor transportation	en
dc.subject.other	Prestressing	en
dc.subject.other	Wireless networks	en
dc.subject.other	Wireless telecommunication systems	en
dc.title	Utilizing wireless positioning as a tracking data source	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1007/978-3-642-02982-0_13	en
heal.identifier.secondary	http://dx.doi.org/10.1007/978-3-642-02982-0_13	en
heal.publicationDate	2009	en
heal.abstract	Tracking data has become a valuable resource for establishing speed profiles for road networks, i.e., travel-time maps. While methods to derive travel time maps from GPS tracking data sources, such as floating car data (FCD), are available, the critical aspect in this process is to obtain amounts of data that fully cover all geographic areas of interest. In this work, we introduce Wireless Positioning Systems (WPS) based on 802.11 networks (WiFi), as an additional technology to extend the number of available tracking data sources. Featuring increased ubiquity but lower accuracy than GPS, this technology has the potential to produce travel time maps comparable to GPS data sources. Specifically, we adapt and apply readily available algorithms for (a) WPS (centroid and fingerprinting) to derive position estimates, and (b) map matching to derive travel times. Further, we introduce map matching as a means to improve WPS accuracy. We present an extensive experimental evaluation on real data comparing our approach to GPS-based techniques. We demonstrate that the exploitation of WPS tracking data sources is feasible with existing tools and techniques. © 2009 Springer Berlin Heidelberg.	en
heal.journalName	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)	en
dc.identifier.doi	10.1007/978-3-642-02982-0_13	en
dc.identifier.volume	5644 LNCS	en
dc.identifier.spage	171	en
dc.identifier.epage	188	en