Event processing and real-time monitoring over streaming traffic data

Patroumpas, K; Sellis, T

dc.contributor.author	Patroumpas, K	en
dc.contributor.author	Sellis, T	en
dc.date.accessioned	2014-03-01T02:53:38Z
dc.date.available	2014-03-01T02:53:38Z
dc.date.issued	2012	en
dc.identifier.issn	03029743	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/36459
dc.subject	cross-platform dissemination	en
dc.subject	events	en
dc.subject	geostreaming	en
dc.subject	multi-resolution	en
dc.subject	traffic analytics	en
dc.subject.other	Central servers	en
dc.subject.other	Cross-platform	en
dc.subject.other	End users	en
dc.subject.other	events	en
dc.subject.other	Functional Prototypes	en
dc.subject.other	Geo-spatial data	en
dc.subject.other	Geostreaming	en
dc.subject.other	Interactive maps	en
dc.subject.other	Metropolitan area	en
dc.subject.other	Monitoring applications	en
dc.subject.other	Moving vehicles	en
dc.subject.other	Multi-modal	en
dc.subject.other	Multi-resolutions	en
dc.subject.other	Multimedia contents	en
dc.subject.other	Multiple levels	en
dc.subject.other	Proof of concept	en
dc.subject.other	Real time monitoring	en
dc.subject.other	Real time traffics	en
dc.subject.other	Reliable estimates	en
dc.subject.other	Road network	en
dc.subject.other	Robust processing	en
dc.subject.other	Streaming traffic	en
dc.subject.other	Traffic situations	en
dc.subject.other	Animals	en
dc.subject.other	Automobiles	en
dc.subject.other	Geographic information systems	en
dc.subject.other	Information systems	en
dc.subject.other	Location based services	en
dc.subject.other	Motor transportation	en
dc.subject.other	Visualization	en
dc.subject.other	Information dissemination	en
dc.title	Event processing and real-time monitoring over streaming traffic data	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1007/978-3-642-29247-7-10	en
heal.identifier.secondary	http://dx.doi.org/10.1007/978-3-642-29247-7-10	en
heal.publicationDate	2012	en
heal.abstract	Tracking mobility of humans, animals or merchandise has recently given rise to a wide variety of location-based services and monitoring applications. In this paper, we particularly focus on real-time traffic surveillance over densely congested road networks in large metropolitan areas. In such a setting, streaming positional updates are being frequently relayed into a central server from numerous moving vehicles (buses, taxis, passenger cars etc.). Our analysis concerns two important aspects. First, we outline characteristics of a robust processing engine that is capable to efficiently manage such massive, transient, and perhaps noisy geospatial data. Our objective is to provide online aggregates and reliable estimates regarding the current traffic situation at multiple levels of resolution. At a second step, we design a framework for effective multi-modal dissemination of derived information to the end users, in the form of interactive maps for intuitive visualization as well as instant notifications via message feeds. As a proof of concept, we also report on our ongoing development of EPOPS; in its current version, this functional prototype of the proposed scheme is able to deliver cross-platform geographic, textual, and even multimedia content through web and smartphone interfaces. © 2012 Springer-Verlag 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	10.1007/978-3-642-29247-7-10	en
dc.identifier.volume	7236 LNCS	en
dc.identifier.spage	116	en
dc.identifier.epage	133	en