In this paper fuzzy methods which can be used in steering traffic lights are presented. It is shown, why fuzzy methods are more adequate for specified problems than probabilistic methods. The fuzzy methods and way of their determination are based on a learning set.
In the first section of the paper fuzzy logic theory and mathematical record theory are introduced and innovative approaches to logistic science are presented. Disadvantages and advantages of fuzzy logic and Dempster-Shafer theory are discussed. In the second section an algorithm for analysing the position of transportation is used. In the third section research outcomes and an example of a method to implement a Global Positioning System in reality are presented. In the last sections some conclusions are drawn.
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