Research Journal of Applied Sciences
ISSN: Online 1993-6079ISSN: Print 1815-932x
Abstract
Route selection plays a very important role in road networks. It is a major problem for city travelers. This study proposes a hierarchical community mining system which helps to model road network statically and introduces a dynamic technique for fast route planning in large road networks. The foundation of this dynamic method is a new approach that generalizes and combines fuzzy logic for local pheromone updating of an ant colony system in the detection of optimum multi parameter direction between two desired points, origin and destination. The hierarchical community based routing algorithm significantly reduces the search space. Researchers then propose a new Hierarchical Community Mining-Fuzzy Logic-Ant Colony System that supports dynamic efficient route computation on large road networks.
How to cite this article:
M. Geetha and G.M. Kadhar Nawaz. Hierarchical Community-Fuzzy Ant Based Dynamic Routing on Large Road Networks.
DOI: https://doi.org/10.36478/rjasci.2013.65.71
URL: https://www.makhillpublications.co/view-article/1815-932x/rjasci.2013.65.71