DocumentCode :
2641455
Title :
Hierarchical Routing in Traffic Using Swarm-Intelligence
Author :
Tatomir, Bogdan ; Rothkrantz, Leon
Author_Institution :
Fac. of Electr. Eng., Math. & Comput. Sci., Delft Univ. of Technol.
fYear :
2006
fDate :
17-20 Sept. 2006
Firstpage :
230
Lastpage :
235
Abstract :
In this paper the design of a dynamic routing system, called hierarchical routing system, is presented. It splits traffic networks into several smaller and less complex networks by introducing a hierarchy between the roads. An algorithm inspired from the ants behaviour in nature is applied for the dynamic routing. At each intersection our system maintains a routing table used for guiding the cars. This model is supplemented with actual data from the traffic by the vehicles themselves. In order to test our system we built a simulation environment with a routing system that guides the vehicles between cities using the fastest way in time and taking into account the load on the roads. The simulator makes possible to play different accident scenarios, like a crisis game where, because of a disaster, multiple roads become unavailable or heavily congested, and most of the drivers are disoriented
Keywords :
particle swarm optimisation; road traffic; transportation; dynamic routing; hierarchical traffic routing; road hierarchy; routing table; swarm-intelligence; traffic network; vehicle guidance; Communication system traffic control; Intelligent sensors; Navigation; Road accidents; Routing; Sensor systems; Telecommunication traffic; Traffic control; Vehicle dynamics; Vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Transportation Systems Conference, 2006. ITSC '06. IEEE
Conference_Location :
Toronto, Ont.
Print_ISBN :
1-4244-0093-7
Electronic_ISBN :
1-4244-0094-5
Type :
conf
DOI :
10.1109/ITSC.2006.1706747
Filename :
1706747
Link To Document :
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