OPTIMAL FORECAST MODEL FOR ERBIL TRAFFIC ROAD DATA

Amin Mohammed

Abstract


The paper is a study of the urgent problems of Erbil city - the problem 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.



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ZANCO Journal of Pure and Applied Sciences (print version: ISSN 2218-0230 online version: ISSN 2412-3986, DOI: 10.21271) is published by Salahaddin University-Erbil / Department of Scientific Publications. Responsibility for the contents rests upon the authors and not upon  Salahaddin University-Erbil or the Journal Editorial and Advisory Boards. 

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