Fuzzy Rule Based System of Optimal Pavement Maintenance and Rehabilitation Strategies for Yangon-Mandalay Expressway

Authors

  • Nan Htike Yee Mon Ph.D Candidate, Transportation Engineering (Civil), Yangon Technological University
  • Dr. Kyaing Professor, Department of Civil Engineering, Yangon Technological University
  • Dr. Moe Thet Thet Aye Lecturer, Department of Civil Engineering, Yangon Technological University

DOI:

https://doi.org/10.47672/ajce.2102

Abstract

Purpose: Systematic pavement management plays a vital role in the better Road Asset Management system. The lifespan of pavement can be preserved and prolonged by adequate maintenance measures in proper time. By early detection and repair of defects at initial stages with predictive maintenance reduces the rapid deterioration of the pavement. Moreover, inaccuracy in pavement deterioration prediction leads to an improper maintenance with wastage of time, cost and labor strength. To overcome all of these obstacles, this paper attempts an approach on optimal pavement maintenance strategy by means of fuzzy rule-based system.

Materials and Methods: In this research, four pavement indicators of PCI, IRI, PSR and PSI have been taken into account as antecedents and five different types of pavement maintenance as consequents. In this research, ASTM D-6433, Road Lab Pro software, AASHTO guidelines and Fuzzy Logic (Mamdani) model have been used to evaluate the current pavement condition and optimal pavement maintenance strategies.

Findings: According to research area, 130 total pavement sample units were undertaken to study for the mean pavement condition of PCI value 54.93 (poor), IRI 7.01 (fair), PSR 3.33 (fair) and PSI 3.35 (fair). Due to 13 years-old life span of traffic volume, temperature and other external factors, this expressway is suffering from potholes, bleeding, longitudinal and transverse cracking, weathering, joint reflection cracking for Asphalt Concrete (AC) overlay and linear cracking, joint seal failure, scaling, faulting, depression, lane/shoulder drop off for existing concrete pavement. According to the fuzzy logic model results, 42 numbers of fuzzy If-Then maintenance rules were verified as the most relevant pavement maintenance and rehabilitation strategies for Yangon-Mandalay Expressway.

Implications to Theory, Practice and Policy: This research provide implications to the study and contributions to theory, practice and policy. This research paper insights into effective infrastructure maintenance and investment, emphasizing the role of advanced computational techniques in transportation economics. The key advantage of this research paper is to be effective, supportive, easy and accessible decision-making tool for transportation and pavement engineers, expressway planners and highways department authorities especially from developing countries.

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References

Abdualmtalab., Usama., Amgad., and Mohamed., 2022. Pavement Condition Index Using Fuzzy Logic Technique. Infrastructures, 7(7), 1-15. https://doi.org/10.3390/ infrastructures7070091.

Abdualmtalab., and Kamal Hossain., 2019. Towards development of PCI and IRI models for road networks in the City of St. John’s. ASCE International Conference on Highway Pavement and Airfield Technology, January 2019 Chicago, USA: ResearchGate, 1-8.

Abdulhaq., and Israa., 2018. Modeling of Flexible Pavement Serviceability Based on the Fuzzy Logic Theory. ITS Journal - Intelligent Transportation Systems Journal, 144(2), 1-10. doi:10.1061/JPEODX.0000026, 04018017.

Bharath., and R., 2015. Prioritisation of Pavement Maintenance based on Pavement Condition Index. Indian Journal of Science and Technology,8(14), 1-5.

Dr. Fareed., Dr. Khaled., and Dr. Ali., 2016. The Road Pavement Condition Index (PCI) Evaluation and Maintenance: A Case Study of Yemen. Organization, Technology and Management in Construction, 8(1), 1446-1455. http://dx.doi.org/ 10.1515/otmcj-2016-0008.

FHWA, 2021. Present Serviceability Rating Computation from Reported Distresses. Georgetown: FHWA, FHWA-HRT-21-041.

FHWA, 2014. Distress Identification Manual for the Long-Term Pavement Performance Program. Georgetown: FHWA, FHWA-HRT-13-092.

Gerardo W., and Chen Chen., 2007. Fuzzy Logic Pavement Maintenance and Rehabilitation Triggering Approach for Probabilistic Life-Cycle Cost Analysis. Transportation Research Record Journal of the Transportation Research Board 1990(1), 80-91, doi:10.3141/1990-10.

Henri.,Bambang., Pranoto., Redy., and Maulana., 2019. District Road Maintenance Priority Using Analytical Hierarchy Process. AIP Conference Proceedings, June 2019, Indonesia: AIP publishing, 1-7. http://dx.doi.org/ 10.1063/ 1.5112490.

Hernán de., Ricardo., Erwin., and Elva., 2003. Analysis of Pavement Serviceability for the AASHTO Design Method: The Chilean Case. Arabian Journal for Science and Engineering, 28(2), 143-159.

Jamal., Muhammad., Arshad., and Asif., 2022. A Multidimensional Analysis of Factors Impacting Mobility of Open-Access Multilane Highways. Infrastructures, 7(10), 1-19. https://doi.org/10.3390/infrastructures7100143.

Joni., Teruhiko., and Osamu., 2003. A Development of Fuzzy Pavement Condition Assessment. J.Materials, Conc. Struct. Pavements, JSCE, 61(746), 275-285. http://dx.doi.org/10.2208/jscej.2003.746_275.

Kamal., and Awad., 2012. Application of Pavement Condition Index (PCI) Methodology in Pavement Distress Evaluation and Maintenance Prioritization. Annual Conference of Postgraduate Studies and Scientific Research (Basic and Engineering studies Board), February 2012, Khartoum, Friendship Hall: SemanticScholar,17-20.

Lala., Christoph., Francisco., and Jose., 2015. frbs:Fuzzy Rule-Based Systems for Classification and Regression in R. Journal of Statistical Software, 65(6), 1-30. http://dx.doi.org/10.18637/jss.v065.i06.

Memorandum of FHWA, 2016. Guidance on Highway Preservation and Maintenance, Pavement Preservation Definitions [online]. Available from: https://www. fhwa.dot.gov/ pavement/ preservation/091205.cfm.

Muhammad., 2019. Condition Survey for Evaluation of Pavement Condition Index of a Highway. Civil Engineering Journal, 5(6), 1367-1383. http://dx.doi.org/10.28991/cej-2019-03091338.

National Association of Australia State Road Authorities, 1987. A Guide to the Visual Assessment of Pavement Condition.

Nagarjuna., 2018. Performance Assessment of Toll Road System: A Study In Pune Region. Thesis (PhD). ICFAI University.

N. Bandara, and M. Gunaratne., 2001. Current and Future Pavement Maintenance Prioritization Based On Rapid Visual Condition Evaluation. Journal of Transportation Engineering, 127(2), 116-123. doi:10.1061/(ASCE)0733- 947X(2001) 127:2(116).

Pavement Condition Indices [online]. Available from: https://pages.mtu.edu/~balkire/ CE 54 03/Lec12.pdf [Accessed 5 May 2024].

Piotr., Jacek., Dariusz., Łukasz., and Dominik., 2017. Ordered Fuzzy Numbers: Definitions and Operations. Theory and Applications of Ordered Fuzzy Numbers. Online:ResearchGate, 57-79.

Roughness Report [online] Available from: https://www.scribd.com/document/442705701/Roughness-ROAD-LAB-PRO [Accessed 5 May 2024].

Rustam., and Mohammad Ali., 2018. Evaluation of Flexible Road Pavement Condition Index and Life Cycle Cost Analysis of Pavement Maintenance: A Case Study in Kabul Afghanistan, International Journal of Scientific & Engineering Research, 9(8), 1909-1919.

Sabaruddin, and A Deni., 2020. Application of pavement condition index (PCI) on the assessment of the Kalumata highway section of the City of South Ternate. IOP Conference Series Earth and Environmental Science. 29-30 August 2019, Bali, Indonesia: IOP Publishing Ltd,1-5. http://dx.doi.org/10.1088/1755- 1315/419/1/012016.

Sandhya., and Nidhi Gupta., 2013. A Hybrid Approach for Handling Uncertainty - Probabilistic Theory, Certainty Factor and Fuzzy Logic. International Journal of Computer Science and Mobile Computing (IJCSMC), 2(11), 70 – 78.

Shakti., and Devander Kumar., 2021. Various Types of Road Defects in Flexible Pavement and Maintenance. International Journal of Advanced Research in Science, Communication and Technology (IJARSCT), 1(2), 25-33, doi: 10.48175/IJARSCT-720.

S.K.Suman, and S.Sinha, 2012. Pavement Maintenance Treatment Selection Using Fuzzy Logic Inference System. International Journal of Engineering and Innovative Technology (IJEIT), 2(6), 172-175.

The AASHTO Joint Task Force on Pavement, 1993. AASHTO Guide for Design of Pavement Structures. Washington: AASHTO, DC 20001;202-624-5800.

U.S. Army Corps of Engineers, DOD, APWA, 2018. Standard Practice for Roads and Parking Lots Pavement Condition Index Surveys, ASTM Designation D6433-18.

Wahyuddin., Bambang., and Eri Susanto., 2019. Relationship between the Pavement Condition Index (PCI), Present Serviceability Index (PSI), and Surface Distress Index (SDI) on Soekarno Hatta Road, Bandung. Diterbitkan oleh Jurnal Teknik Sipil ITB, 26(2), 111-120. doi: 10.5614/jts. 2019.26.2.3.

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Published

2024-06-18

How to Cite

Mon, N. H. Y., Dr. Kyaing, & Dr. Moe Thet Thet Aye. (2024). Fuzzy Rule Based System of Optimal Pavement Maintenance and Rehabilitation Strategies for Yangon-Mandalay Expressway. American Journal of Computing and Engineering, 7(3), 19–39. https://doi.org/10.47672/ajce.2102

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