The Application of Fuzzy Ant Colony Optimization Algorithm in the Transportation Navigation System

Fuzzy Ant Colony Optimization Algorithm(FACOA)as a new optimal algorithm is proposed to handle fuzzy information in the transportation navigation system,such as traffic flow,road weather and so on,and to obtain the optimal navigation path quickly by integrating multiple information.It integrates fuzzy logical reasoning technology and Ant Colony Algorithm.Experimental results indicate that FACOA can handle a variety of fuzzy information in transportation navigation system,and the improved Ant Colony Algorithm can be used to get the optimal navigation path.