An intelligent traffic management system for the eco-optimization of urban traffic flows

Lioudakis, GV; Papagianni, CA; Kaklamani, DI; Venieris, IS; Salden, AH

dc.contributor.author	Lioudakis, GV	en
dc.contributor.author	Papagianni, CA	en
dc.contributor.author	Kaklamani, DI	en
dc.contributor.author	Venieris, IS	en
dc.contributor.author	Salden, AH	en
dc.date.accessioned	2014-03-01T02:46:41Z
dc.date.available	2014-03-01T02:46:41Z
dc.date.issued	2010	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/32783
dc.subject	Dynamic navigation	en
dc.subject	Intelligent transportation system	en
dc.subject	Traffic flow optimization	en
dc.subject.other	Contextual information	en
dc.subject.other	Direct impact	en
dc.subject.other	Environmental pollutions	en
dc.subject.other	Intelligent traffic management	en
dc.subject.other	Intelligent transportation systems	en
dc.subject.other	Navigation service	en
dc.subject.other	Personal privacy	en
dc.subject.other	Quality of life	en
dc.subject.other	Road traffic	en
dc.subject.other	Traffic flow	en
dc.subject.other	Urban traffic flow	en
dc.subject.other	Value added service	en
dc.subject.other	Fleet operations	en
dc.subject.other	Highway administration	en
dc.subject.other	Highway traffic control	en
dc.subject.other	Intelligent systems	en
dc.subject.other	Middleware	en
dc.subject.other	Navigation	en
dc.subject.other	Optimization	en
dc.subject.other	Roads and streets	en
dc.subject.other	Traffic surveys	en
dc.subject.other	Traffic congestion	en
dc.title	An intelligent traffic management system for the eco-optimization of urban traffic flows	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/ICCW.2010.5503897	en
heal.identifier.secondary	http://dx.doi.org/10.1109/ICCW.2010.5503897	en
heal.identifier.secondary	5503897	en
heal.publicationDate	2010	en
heal.abstract	Road traffic congestion constitutes a parameter that significantly affects quality of life in modern cities, while it has a direct impact on the environmental pollution. Optimizing the traffic flows would bring considerable and multi-aspect gains. In this light, this paper proposes an intelligent traffic management system for the provision of a dynamic, in real-time fleet navigation service at large scale. The framework collects all available contextual information generated ""on the road"" and uses a multi-layer, distributed, hierarchical middleware, for optimizing traffic flows in a cellular fashion. The framework enables also the provision of other value-added services, while it puts special care on the issue of protecting personal privacy. ©2010 IEEE.	en
heal.journalName	2010 IEEE International Conference on Communications Workshops, ICC 2010	en
dc.identifier.doi	10.1109/ICCW.2010.5503897	en