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International Journal of Advanced Research in Engineering and Technology (IJARET)
Volume 12, Issue 1, January 2021, pp. 11-19, Article ID: IJARET_12_01_002
Available online at http://iaeme.com/Home/issue/IJARET?Volume=12&Issue=1
ISSN Print: 0976-6480 and ISSN Online: 0976-6499
DOI: 10.34218/IJARET.12.1.2021.002
© IAEME Publication Indexed Scopus
DEVELOPMENT A PAVEMENT OF
PERFORMANCE MODEL FOR AN
EXPRESSWAY
A. Arshad, E. Shaffie K.
Institute for Infrastructure Engineering and Sustainable Management,
Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia
M.F.N.A. Mohd Yasin
Civil Engineer,
Public Works Department of Malaysia
W. Hashim, N.A. Kamaluddin, F. Ismail
Faculty of Civil Engineering,
Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia
ABSTRACT
Future performance of the highway pavement is essential to be predicted so as to
anticipate the maintenance strategy and optimum pavement network management for
the North-South Expressway (NSE) in Malaysia. Current pavement performance
models used in pavement management systems are based on models developed
elsewhere, which are likely not reflective of the Malaysian conditions. Therefore, the
objective of this research is to develop a pavement performance model for rutting,
based on local data. Data was collected from selected sections of the NSE which
include roughness, traffic loading, pavement strength and rutting. Data was then
analyzed to develop the rutting model. Two different rutting models were developed
for the Northbound and Southbound traffic and the model was then validated. As the
models developed are more representative of the local conditions, it is recommended
that they are used to predict rutting performance for the NSE.
Keywords: Pavement Performance, Pavement Management, Network Maintenance
Strategy, Rutting Model, Pavement Modeling.
Cite this Article: A. K. Arshad, E. Shaffie, M.F.N.A. Mohd Yasin, W. Hashim, N.A.
Kamaluddin, F. Ismail Development of a Pavement Performance Model for an ,
Expressway, International Journal of Advanced Research in Engineering and
Technology, 12 ), 2021, pp. 11-19. (1
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