Macroscopic Optimum System for Management of Pavement Rehabilitation-Reference-Cited by-同舟云学术

Macroscopic Optimum System for Management of Pavement Rehabilitation

Published:2001-12 Issue:6 Volume:127 Page:493-500
ISSN:0733-947X
Container-title:Journal of Transportation Engineering
language:en
Short-container-title:J. Transp. Eng.

Author:

Abaza Khaled A.¹¹²³⁴,Ashur Suleiman A.¹¹²³⁴,Abu-Eisheh Sameer A.¹¹²³⁴,Rabay'a Amer¹¹²³⁴

Affiliation:

1. Member, ASCE

2. Asst. Prof., Birzeit Univ., Dept. of Civ. Engrg., P.O. Box 14, Birzeit, West Bank, Palestine. E-mail: kabaza@birzeit.edu

3. Asst. Prof., Univ. of Texas at El Paso, Dept. of Civ. Engrg., El Paso, TX 79968. E-mail: ashur@utep.edu

4. Assoc. Prof., An-Najah Nat. Univ., Dept. of Civ. Engrg., P.O. Box 7, Nablus, West Bank, Palestine. E-mail: sameeraa@najah.edu

Publisher

American Society of Civil Engineers (ASCE)

Subject

Transportation,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%290733-947X%282001%29127%3A6%28493%29

Reference12 articles.

1. Abaza K. A. and Ashur S. A. ( 1999). “An optimum decision policy for management of pavement maintenance and rehabilitation.” Transp. Res. Rec. 1655 Transportation Research Board Washington D.C. 8–15.

2. Abaza K. A. and Ashur S. A. ( 2000). “A discrete-time Markovian model for an integrated pavement maintenance management system.” Proc. 6th Int. Conf. on Applications of Advanced Technologies in Transp. Engrg. American Society of Civil Engineers and Eastern Asia Society for Transportation Studies.

3. American Association of State Highway and Transportation Officials (AASHTO). ( 1993). AASHTO guide for design of pavement structures Washington D.C.

4. Butt A. A. Shahin M. Y. Carpenter S. H. and Carnahan J. V. ( 1995). “Application of Markov process to pavement management systems as network level.” Proc. 3rd Int. Conf. on Asphalt Pavements Vol. 2 National Press Academy Washington D.C. 159–172.

5. Butt A. A. Shahin M. Y. Feighan K. J. and Carpenter S. H. ( 1987). “Pavement performance prediction model using the Markov process.” Transp. Res. Rec. 1123 Transportation Research Board Washington D.C. 12–19.

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