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An Intelligent Traffic Management System for the Eco-Optimization of Urban Traffic Flows

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5 Author(s)
Lioudakis, G.V. ; Sch. of Electr. & Comput. Eng., Nat. Tech. Univ. of Athens, Athens, Greece ; Papagianni, C.A. ; Kaklamani, D.I. ; Venieris, I.S.
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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.

Published in:

Communications Workshops (ICC), 2010 IEEE International Conference on

Date of Conference:

23-27 May 2010

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