The Traffic Prediction and Control Based on Rough Set Theory

Ai Long Fan

doi:10.4028/www.scientific.net/AMR.756-759.632

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 756-759The Traffic Prediction and Control Based on Rough...

The Traffic Prediction and Control Based on Rough Set Theory

Abstract:

Intelligent traffic control and traffic guidance systems have become the core question of ITS research, but real-time and accurate traffic prediction and control are two keys that they may achieve. On this basis, Research priorities are proposed and it introduces general ideas of short-term traffic flow forecasting and control, and uses the rough set and fuzzy theory to predict and control traffic flow. Compared with the actual, forecasting results' error is smaller, and the same time the jam of intersection is effectively alleviated.

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Periodical:

Advanced Materials Research (Volumes 756-759)

Pages:

632-635

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.756-759.632

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Online since:

September 2013

Authors:

Ai Long Fan

Keywords:

Intersection, Rough Set (RS), Traffic Control, Traffic Flow Forecasting

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