DocumentCode :
3031598
Title :
A Novel Localized Data Aggregation Algorithm for Advanced Vehicular Traffic Information Systems
Author :
Shafiee, Kaveh ; Leung, Victor C M
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of British Columbia, Vancouver, BC, Canada
fYear :
2009
fDate :
14-18 June 2009
Firstpage :
1
Lastpage :
5
Abstract :
In this paper, we introduce an advanced vehicular networking architecture combining infrastructure and ad-hoc communications, which differentiates the global traffic information the vehicles use for determining the general routes to their destinations from the local traffic information used for avoiding congestion. While the vehicles obtain the real-time global information by accessing the infrastructure (high-speed backhaul network), they are provided with the updated local traffic information through direct vehicle-to-vehicle ad-hoc communications. The provisioning of the local traffic information is based on a novel scalable, efficient, reliable traffic information aggregation algorithm that is the main contribution of this paper. The effectiveness of the proposed algorithm is verified and the right values for the parameters in the algorithm are determined by means of simulations.
Keywords :
ad hoc networks; mobile radio; telecommunication network reliability; traffic information systems; advanced vehicular networking architecture; advanced vehicular traffic information systems; congestion avoidance; direct vehicle-to-vehicle ad-hoc communications; high-speed backhaul network; local traffic information; localized data aggregation algorithm; real-time global information; traffic information aggregation algorithm; Aggregates; Broadcasting; Communication system traffic control; Computer networks; Counting circuits; Delay; Information systems; Road vehicles; Telecommunication traffic; Traffic control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications Workshops, 2009. ICC Workshops 2009. IEEE International Conference on
Conference_Location :
Dresden
Print_ISBN :
978-1-4244-3437-4
Type :
conf
DOI :
10.1109/ICCW.2009.5208063
Filename :
5208063
Link To Document :
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