A Tri-objective Resource Allocation Model for Pavement Rehabilitation by Hybridization of Parametric and Constraint Methods

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BABAEI M.

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Journal Paper

Paper Information

Journal: JOURNAL OF TRANSPORTATION RESEARCH Year:2020 | Volume:16 | Issue:4 (61) Page(s): 129-146

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Information Journal Paper

Title

A Tri-objective Resource Allocation Model for Pavement Rehabilitation by Hybridization of Parametric and Constraint Methods

Author(s)

BABAEI M. | Issue Writer Certificate

Keywords

Multi-objective ProgrammingQ1

Resource AllocationQ1

Pavement Maintenance and RehabilitationQ1

Markov Chain ProcessQ1

Abstract

One of the important issues in road pavement management is the allocation of resource in different parts of the network in order to maintain the pavement conditions at desired levels. In this paper, a tri-objective model is proposed for this purpose, the objective functions of which are: 1) to minimize the proportion of the network that are in “ critical” and worse-critical conditions (other than the “ worst” condition), on which some improvement measures should be performed to reach a desired condition; (2) to minimize the proportion of the network that is in “ worst” condition, and, in order to bring it to a desired condition, it should take renovation measures; and (3) to minimize the total cost incurred due to the maintenance and rehabilitation measures made during the entire planning period. To solve the tri-objective model, a hybrid method is proposed using multi-objective parametric optimization and ε-constraint methods. The results of the application of the model show that despite the mental imagination at first glance, the first and second objective functions may have conflict, so that increasing one of them may lead to decreasing the other; therefore, these two objectives cannot be considered together as a single objective function. One of the important features of the proposed method is that the Markov Chain Process model, as the prediction tool for the pavement condition, is incorporated into the optimization model. This makes the pavement condition prediction and Resource Allocation simultaneously and prevents achieving local optimal solutions.

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APA: Copy

BABAEI, M.. (2020). A Tri-objective Resource Allocation Model for Pavement Rehabilitation by Hybridization of Parametric and Constraint Methods. JOURNAL OF TRANSPORTATION RESEARCH, 16(4 (61) ), 129-146. SID. https://sid.ir/paper/83729/en

Vancouver: Copy

BABAEI M.. A Tri-objective Resource Allocation Model for Pavement Rehabilitation by Hybridization of Parametric and Constraint Methods. JOURNAL OF TRANSPORTATION RESEARCH[Internet]. 2020;16(4 (61) ):129-146. Available from: https://sid.ir/paper/83729/en

IEEE: Copy

M. BABAEI, “A Tri-objective Resource Allocation Model for Pavement Rehabilitation by Hybridization of Parametric and Constraint Methods,” JOURNAL OF TRANSPORTATION RESEARCH, vol. 16, no. 4 (61) , pp. 129–146, 2020, [Online]. Available: https://sid.ir/paper/83729/en

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