Traffic Accidents Prediction Using Improved Grey-Markov Model

Abstract:

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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.

Info:

Periodical:

Advanced Materials Research (Volumes 378-379)

Edited by:

Brendan Gan, Yu Gan and Y. Yu

Pages:

222-225

DOI:

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

Citation:

K. M. Chen et al., "Traffic Accidents Prediction Using Improved Grey-Markov Model", Advanced Materials Research, Vols. 378-379, pp. 222-225, 2012

Online since:

October 2011

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Price:

$35.00

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