Allow Phonetic Typing Determine the Optimal Price Traffic Using Genetic Algorithms

Control problems and consequences of population growth that has taken many measures that implement a traffic plan that can be cited. The economic implications of the price range of traffic rules stating that users of high-traffic thoroughfares that pass, In order to maximize social network benefits must equal the difference between cost and social cost of and the cost of final average pay. Knowledge of data mining as one of the most effective way optimization of traffic in the traffic plan to investigate the impact of transition on the types of violations and obtain the rules in this area is considered. Using a genetic algorithm as one of the data mining methods and to consider more factors and parameters and the combination of the methods employed by in the previous study, an effective measure in reducing and controlling traffic in the streets was done. Therefore, this paper has tried to use genetic algorithms as well as Frank algorithm - Wolf, who studied the issue has been adapted Price is optimal for traffic modeling. The article uses the example of an algorithm implemented.