An New Approach of Real-Time Traffic Flow Prediction Based on Intelligent Transportation Technology

Jia Yang Li; Qin Xue; Jin De Liu

doi:10.4028/www.scientific.net/AMR.988.715

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 988An New Approach of Real-Time Traffic Flow...

An New Approach of Real-Time Traffic Flow Prediction Based on Intelligent Transportation Technology

Abstract:

Short-term traffic flow forecasting is a core problem in Intelligent Transportation System .Considering linear and nonlinear, this paper proposes a short-term traffic flow intelligent combination approach. The weight of four forecasting model is given by the correlation coefficient and standard deviation method. The experimental results show that the new approach of real-time traffic flow prediction is higher precision than single method.

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Periodical:

Advanced Materials Research (Volume 988)

Pages:

715-718

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.988.715

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Online since:

July 2014

Authors:

Jia Yang Li, Qin Xue, Jin De Liu

Keywords:

Grey Model, Intelligent Transportation, Neural Network Model, Real-Time Traffic Flow, Traffic Flow Prediction

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