DocumentCode :
512496
Title :
Notice of Retraction
Application of dynamic grey model in pavement performance predication
Author :
Fang Lei ; Wang Xiaomou
Author_Institution :
Sch. of Highway, Chang´an Univ., Xi´an, China
Volume :
2
fYear :
2009
fDate :
19-20 Dec. 2009
Firstpage :
144
Lastpage :
147
Abstract :
Notice of Retraction

After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

In light of the situation that lack of history data about pavement performance and some matters with traditional prediction model, on the base of traditional GM (1, 1) model, a dynamic grey model was constructed by replacing original data with forecasting data. It solved the problems that lack of original data and data divergence of traditional GM (1, 1) model, and it was applied to prediction about pavement performance of an expressway in Shaanxi, by comparing with other prediction models, the dynamic grey model has obvious advantages.
Keywords :
forecasting theory; grey systems; roads; transportation; data divergence; dynamic grey model; expressway; forecasting data; history data; pavement performance predication; prediction model; Differential equations; History; Intelligent transportation systems; Mathematical model; Power electronics; Power system modeling; Predictive models; Quality management; Road transportation; Vehicle dynamics; dynamic grey model; matlab; pavement performance; prediction model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Electronics and Intelligent Transportation System (PEITS), 2009 2nd International Conference on
Conference_Location :
Shenzhen
Print_ISBN :
978-1-4244-4544-8
Type :
conf
DOI :
10.1109/PEITS.2009.5406935
Filename :
5406935
Link To Document :
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