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Proceedings of

3rd International Conference on Advances In Civil, Structural and Environmental Engineering ACSEE 2015

"DEVELOPMENT OF PAVEMENT PREDICTION MODELS USING MARKOV CHAIN THEORY FOR EGYPTIAN HIGHWAY NETWORK"

HESHAM ABDELKHALEK SHERIF ELTAHAN SHERIF HAFEZ WAEL BEKHET
DOI
10.15224/978-1-63248-065-1-44
Pages
61 - 66
Authors
4
ISBN
978-1-63248-065-1

Abstract: “Typically, available funds are not adequate to satisfy all the required improvement, repair and/or maintenance projects for the highways and roads networks in most countries, including Egypt. Under current policies and funding levels, further deterioration in the highways can be expected, since the budget needed for highway maintenance is greater that the funding levels available. As a result, highway agencies must seek more cost-effective methods for highway network preservation. Pavement performance prediction models are generally used to forecast changes in condition over some future time period. Predicted conditions are used in several pavement management activities. Markov chain theory has been used in this paper to develop future pavement deterioration prediction model for highways in Egypt, and to forecast the future pavement performance. Transition Probability Matrices (TPM) were generated for two highways in Egypt as a case study; namely, the Alexandria-Cairo Agricultural R an”

Keywords: Pavement Management, Markov Chains, Transition Probability Matrix, Pavement Condition, Probabilistic Deterioration Models

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