Applying of combined algorithm for prediction urban road traffic based on fuzzy search theory

The article analyzes the problem of road traffic progress prediction in the city. Proposed mathematical models and algorithms allow to solve the problem of traffic jam prediction using statistics about the traffic parameters incoming from vehicle monitoring systems. The algorithm of road traffic situation prediction based on known approaches fuzzy search in relational databases using a mixed criterion. The prediction algorithm had been successfully tested using satellite vehicle monitoring data pick up for more than a year. Application of described methods makes possible to achieve high results in predicting of traffic jam. The results of using the proposed prediction method was compared with widely used average speed extrapolation method and actual data for the study period of time.