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
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