DocumentCode :
3182274
Title :
An adaptive vehicle guidance system instigated from ant colony behavior
Author :
Kammoun, Habib M. ; Kallel, Ilhem ; Alimi, Adel M. ; Casillas, Jorge
Author_Institution :
REGIM: Res. Group on Intell. Machines, Univ. of Sfax, Sfax, Tunisia
fYear :
2010
fDate :
10-13 Oct. 2010
Firstpage :
2948
Lastpage :
2955
Abstract :
In view of the high dynamicity of traffic flow and the polynomial increase in the number of vehicles on road networks, the route choice problem becomes more complex. A classical shortest path algorithm based only on road length is no longer relevant. We propose in this paper an adaptive vehicle guidance system instigated from the ants behavior, well known for its good adaptativity; this system allows adjusting intelligently and promptly the route choice according to the real-time changes in the road network situations, such as new congestions and jams. This method is implemented as a deliberative module of a vehicle ant agent in a collaborative multiagent system representing the entire road network. Series of simulations, under a multiagent platform, allow us to discuss the improvement of the global road traffic quality in terms of time, fluidity, and adaptativity.
Keywords :
multi-agent systems; optimisation; road vehicles; transportation; adaptive vehicle guidance system; ant colony behavior; collaborative multiagent system; road network; road vehicle; route choice problem; shortest path algorithm; traffic flow; Biological system modeling; Planning; Routing; Vehicles; Transportation; adaptive vehicle guidance; ant colony; traffic assignment; traffic simulation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems Man and Cybernetics (SMC), 2010 IEEE International Conference on
Conference_Location :
Istanbul
ISSN :
1062-922X
Print_ISBN :
978-1-4244-6586-6
Type :
conf
DOI :
10.1109/ICSMC.2010.5642001
Filename :
5642001
Link To Document :
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