Fuzzy-ant based dynamic routing on large road networks

Abstract

Route selection is essential in everyday life. We have several algorithms for detecting efficient route on Large Road Networks. This paper introduce the hierarchical community, is presented. It splits large road networks into hierarchical structure. It introduces a multi parameter route selection system which employs Fuzzy Logic (FL) and ant's behavior in nature is applied for the dynamic routing. The important rates of parameters such as path length and traffic are adjustable by the user. The purposes of new hierarchical routing algorithm significantly reduce the search space. We develop a community-based hierarchical graph model that supports Dynamic efficient route computation on large road networks.