• 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