Traffic Accidents Prediction Using Improved Grey-Markov Model

Kuan Min Chen; Lai Fa Xie; Wen Sen Xiang

doi:10.4028/www.scientific.net/AMR.378-379.222

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 378-379Traffic Accidents Prediction Using Improved...

Traffic Accidents Prediction Using Improved Grey-Markov Model

Abstract:

Considering the grey feature of traffic accident occurrence, grey model optimized by least-square theory is introduced to prejudge the future trend of traffic accident. To improve the prediction precision of this model, an amendment factor of boundary value and Markov chain are proposed and the numerical application proves the effectiveness of this Grey –Markov predict model.

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Periodical:

Advanced Materials Research (Volumes 378-379)

Pages:

222-225

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.378-379.222

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Online since:

October 2011

Authors:

Kuan Min Chen, Lai Fa Xie, Wen Sen Xiang

Keywords:

Amendment Factor, Grey Model, Markov Chain (MC), Traffic Accident

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References

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