Elicit the Best Ways through Identify Congestion Places

Abstract

In this paper the exploitation of infrastructure and take advantage of communication techniques wired and wireless to help drivers in finding ways does not contain any obstacles and reach to the target with commitment in speed of assessed road. We use Fusion or Polygamy Technology with Fuzzy Logic, Neural Network and Genetic Algorithm for extract Cut-Node (CN). We use Cut-Node (CN) in order to identify obstacles and avoid them such as changes that occur in the lighting, weather conditions, accidents, congestion and maintenance of roads. Cut-Node (CN) useful in understanding the surrounding environment, supporting safe driving, increases the flow and fastest path to arrive at the designated target (end point). Three models have been proposed to extract Cut-Node (CN) as follows: 1) Intuitionistic Fuzzy Set (IFS). 2) The Intuitionistic Fuzzy Set Data Base is representing imprecise data. 3) Intuitionistic Fuzzy Neural Network with Genetic Algorithm (IFNN-GA).