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Applied Computational Intelligence and Soft Computing
Volume 2010 (2010), Article ID 428270, 13 pages
Research Article

Dynamic Fuzzy Logic-Ant Colony System-Based Route Selection System

1Department of Electrical Engineering, Shahid Bahonar University of Kerman, Kerman 76169-133, Iran
2International Center for Science, High Technology, and Environmental Sciences, Kerman, Iran
3Advanced Communications Research Institute, Sharif University of Technology, Tehran, Iran

Received 8 June 2010; Accepted 23 August 2010

Academic Editor: Hani Hagras

Copyright © 2010 Hojjat Salehinejad and Siamak Talebi. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Route selection in metropolises based on specific desires is a major problem for city travelers as well as a challenging demand of car navigation systems. This paper introduces a multiparameter route selection system which employs fuzzy logic (FL) for local pheromone updating of an ant colony system (ACS) in detection of optimum multiparameter direction between two desired points, origin and destination (O/D). The importance rates of parameters such as path length and traffic are adjustable by the user. In this system, online traffic data are supplied directly by a traffic control center (TCC) and further minutes traffic data are predicted by employing artificial neural networks (ANNs). The proposed system is simulated on a region of London, United Kingdom, and the results are evaluated.