Application of Soft-computing Technologies to the Traffic Control System Design Problems

Abstract

This paper considers the problem of application of the soft-computing technologies for the fuzzy modeling and synthesis of traffic control systems in conditions of uncertainty and insufficient initial information on traffic flows. It proposes methods for formal description of the transport process on the controlled crossroads and tasks management them based on the modern mathematical apparatus of fuzzy sets and fuzzy logic. And, also this paper provides effective algorithms for adaptive fuzzy-logic traffic control systems and the simulation models of them and the results of computing experiments for real crossroads of the road network of Tashkent city (Uzbekistan).