Highway Accidents Prediction Model of Combinatorial Optimization

Zhi Xiang Hou; Dan Yu; Jia Jia Li; Jian Yang; Xiao Mei Yin

doi:10.4028/www.scientific.net/AMM.48-49.574

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 48-49Highway Accidents Prediction Model of...

Highway Accidents Prediction Model of Combinatorial Optimization

Abstract:

Although road traffic accidents have contingency characteristics, but also can use the method of forecasting theory to forecast. In this paper, we adopt the gray GM (1,1) model and cubic exponent smooth model to optimum combination ，Established traffic accident prediction model based on IOWGA(induction ordered geometric weighted average)and tested this combination forecasting model .Test results show that the combination forecasting model is effective, reliable, high prediction accuracy, can used to real forecast.

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Periodical:

Applied Mechanics and Materials (Volumes 48-49)

Pages:

574-578

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.48-49.574

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Online since:

February 2011

Authors:

Zhi Xiang Hou, Dan Yu, Jia Jia Li, Jian Yang, Xiao Mei Yin

Keywords:

Combination Forecasting, GM(1,1) Model, Gray Theory, Traffic Accident

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