• DocumentCode
    3458870
  • Title

    Study of the Evaluation Model about Old Asphalt Pavement Service Performance of Freeway

  • Author

    Renjie, Qin ; Yuzhi, Li ; Hanzhong, Liu

  • Author_Institution
    Sch. of Traffic & Transp. Eng., Changs ha Univ. of Sci. & Technol., Changsha, China
  • fYear
    2009
  • fDate
    June 30 2009-July 2 2009
  • Firstpage
    187
  • Lastpage
    190
  • Abstract
    In China, about 70 percent pavement of freeway is asphalt surface, most old pavement has 4 lanes, with the increase of traffic volume, the service performance of pavement can not meet the traffic demand and pavement needs to maintain. Before expanding lanes or maintaining pavement, it needs to evaluate the existing pavement condition. After having analyzed the service performance of old pavement and its evaluation methods, the paper introduces an improved gray correlation degree model to evaluate old pavement performance based on the factors of testing methods, different direction vehicle axle and different pavement sections of highway project. The model considers the fact of pavement repair and puts forward a repair index for the first time. Then the grade of indexes in the model is given according the testing data. At last, this paper demonstrates the applicability and feasibility of the model combined with existing criterions of China and with the application results of several pavement projects for four years which has 4 cm thickness asphalt pavement overlay.
  • Keywords
    asphalt; maintenance engineering; road traffic; China; asphalt surface; freeway pavement; old asphalt pavement service performance; pavement repair; traffic volume; vehicle axle; Asphalt; Axles; Decision making; Electronic mail; Maintenance engineering; Performance analysis; Road transportation; Road vehicles; Testing; Traffic control; evaluation model; freeway; old asphalt pavement; service performance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    New Trends in Information and Service Science, 2009. NISS '09. International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-0-7695-3687-3
  • Type

    conf

  • DOI
    10.1109/NISS.2009.23
  • Filename
    5260621