Travel Time Prediction Intelligent System for Rural Road Transportation Based on the Neural-Fuzzy Network

Abstract

One of the major travel characteristics is time which may vary with respect to changes in travel conditions.  The aim of this research is to present an intelligent system for prediction of travel time in rural roads. This topic is important because it could influence the accurate planning and organizational, social and personal management tasks. This article deals with travel time prediction by using the neural-fuzzy network, this network implements 5 fuzzy parameters as input. Presentation of the new parameters (such as the days-of-the-year parameter), a procedure for Intelligent making of the system, route blocking and using neural-fuzzy network are among the innovations of this research. The obtained results validate the possibility of using this neural-fuzzy network based on the presented parameters.