Pavement Maintenance Optimization Model using Markov Decision Processes

Pavement Maintenance Optimization Model using Markov Decision Processes

This paper presents an optimization model for selection of pavement maintenanceintervention using a theory of Markov Decision Processes (MDP). There are some particular characteristics of the MDP developed in this paper which distinguish it from other similar studies or optimization models intended...

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Main Authors: Mandiartha, Putu, Duffield, C. F., Intan Suhana, Mohd Razelan, Azlina, Ismail
Format: Article
Language:English
Published: IOP Publishing 2017
Subjects:
TA Engineering (General). Civil engineering (General)
TE Highway engineering. Roads and pavements
Online Access:http://umpir.ump.edu.my/id/eprint/18631/
http://umpir.ump.edu.my/id/eprint/18631/
http://umpir.ump.edu.my/id/eprint/18631/
http://umpir.ump.edu.my/id/eprint/18631/2/Mandiartha_2017_J._Phys.__Conf._Ser._890_012104.pdf
id ump-18631
recordtype eprints
spelling ump-186312017-12-11T04:35:54Z http://umpir.ump.edu.my/id/eprint/18631/ Pavement Maintenance Optimization Model using Markov Decision Processes Mandiartha, Putu Duffield, C. F. Intan Suhana, Mohd Razelan Azlina, Ismail TA Engineering (General). Civil engineering (General) TE Highway engineering. Roads and pavements This paper presents an optimization model for selection of pavement maintenanceintervention using a theory of Markov Decision Processes (MDP). There are some particular characteristics of the MDP developed in this paper which distinguish it from other similar studies or optimization models intended for pavement maintenance policy development. These unique characteristics include a direct inclusion of constraints into the formulation of MDP, the use of an average cost method of MDP, and the policy development process based on the dual linear programming solution. The limited information or discussions that are available on these matters in terms of stochastic based optimization model in road network management motivates this study. This paper uses a data set acquired from road authorities of state of Victoria, Australia, to test the model and recommends steps in the computation of MDP based stochastic optimization model, leading to the development of optimum pavement maintenance policy. IOP Publishing 2017-09 Article PeerReviewed application/pdf en cc_by http://umpir.ump.edu.my/id/eprint/18631/2/Mandiartha_2017_J._Phys.__Conf._Ser._890_012104.pdf Mandiartha, Putu and Duffield, C. F. and Intan Suhana, Mohd Razelan and Azlina, Ismail (2017) Pavement Maintenance Optimization Model using Markov Decision Processes. Journal of Physics: Conference series, 890 (012104). pp. 1-6. ISSN 1742-6588 (print); 1742-6596 (online) https://doi.org/10.1088/1742-6596/890/1/012104 doi :10.1088/1742-6596/890/1/012104
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
topic TA Engineering (General). Civil engineering (General)
TE Highway engineering. Roads and pavements
spellingShingle TA Engineering (General). Civil engineering (General)
TE Highway engineering. Roads and pavements
Mandiartha, Putu
Duffield, C. F.
Intan Suhana, Mohd Razelan
Azlina, Ismail
Pavement Maintenance Optimization Model using Markov Decision Processes
description This paper presents an optimization model for selection of pavement maintenanceintervention using a theory of Markov Decision Processes (MDP). There are some particular characteristics of the MDP developed in this paper which distinguish it from other similar studies or optimization models intended for pavement maintenance policy development. These unique characteristics include a direct inclusion of constraints into the formulation of MDP, the use of an average cost method of MDP, and the policy development process based on the dual linear programming solution. The limited information or discussions that are available on these matters in terms of stochastic based optimization model in road network management motivates this study. This paper uses a data set acquired from road authorities of state of Victoria, Australia, to test the model and recommends steps in the computation of MDP based stochastic optimization model, leading to the development of optimum pavement maintenance policy.
format Article
author Mandiartha, Putu
Duffield, C. F.
Intan Suhana, Mohd Razelan
Azlina, Ismail
author_facet Mandiartha, Putu
Duffield, C. F.
Intan Suhana, Mohd Razelan
Azlina, Ismail
author_sort Mandiartha, Putu
title Pavement Maintenance Optimization Model using Markov Decision Processes
title_short Pavement Maintenance Optimization Model using Markov Decision Processes
title_full Pavement Maintenance Optimization Model using Markov Decision Processes
title_fullStr Pavement Maintenance Optimization Model using Markov Decision Processes
title_full_unstemmed Pavement Maintenance Optimization Model using Markov Decision Processes
title_sort pavement maintenance optimization model using markov decision processes
publisher IOP Publishing
publishDate 2017
url http://umpir.ump.edu.my/id/eprint/18631/
http://umpir.ump.edu.my/id/eprint/18631/
http://umpir.ump.edu.my/id/eprint/18631/
http://umpir.ump.edu.my/id/eprint/18631/2/Mandiartha_2017_J._Phys.__Conf._Ser._890_012104.pdf
first_indexed 2023-09-18T22:26:30Z
last_indexed 2023-09-18T22:26:30Z
_version_ 1777416001428652032

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