Optimal Forecast Model For Erbil Traffic Road Data

Abstract

The paper is a study of the urgent problems of Erbil city - the issue of Transportation System. The paper analyzes traffic data in one of the main entrances street of the city, offers a model based on the theory of time series, to solve problems and improve the Erbil city's transportation system. There is verifying the behavior of the traffic flows and propose the best model for the traffic. Then offer an optimal forecast model. The models will help to structure the problem, to reorganize the transportation system and manage the endless process of development based on the principles of forming continuity. It is trying to predict transport traffic, which is a significant interest in areas such as traffic monitoring, control traffic flows, and management. Carefully forecasting and selected model can identify and predict the most important characteristics of traffic flow in the city.