Forming Production Rules in Intelligent Transportation System to Control Traffic Flow

Abstract

The paper describes an approach to remodel the capacity of high-speed transportation corridors segments. Tho proposed remodelling scheme is based on applying neural network model combining results of stochastic capacity estimation during congested and free-flow regimes. Based on the obtained model it is proposed to analyze the impact of factors affecting on the estimated capacity with the methods of Analysis of Finite Fluctuations. There is also presented scheme how to form production rules into intelligent transportation system based on the presented approaches.