Airport Pavement Maintenance Decision-Making System with Condition Cases Optimization
Source abstract
Abstract
The successive growth of the aviation industry has progressively heightened the importance of airport pavement management systems. Existing research has primarily focused on the technological advancements of optimization models, with limited applicability in practice. In this study, we introduce condition cases optimization (CCO) to address these limitations while incorporating multi-facility and multi-year network optimization models. We developed condition index, serviceability level, integrated assessment indices and performance models for decision-making criteria. As a result, a practical decision-making strategy was proposed which can flexibly reflect budget constraints. Sensitivity analysis highlighted the impact of initial budget, maintenance methods, costs, and thresholds on decision outcomes. Using a case study, we validated the effectiveness and practicality of the CCO method as an efficient decision-making tool.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Infrastructure Maintenance and Monitoring · Risk and Safety Analysis · Safety Warnings and Signage
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Smart Cities, Chung-Ang University, 84 Heukseok-ro, Seoul 06974, Republic of Korea
Korea Advanced Institute of Science and Technology, Cho Chun Shik Graduate School of Mobility, 193 Munji-ro, Daejeon 34051, Republic of Korea
Department of Transportation and Communications, University of Shanghai Maritime, 1550 Haigang Ave., Shanghai 201306, China
Funding
Fostering Outstanding Universities for Research · Ministry of Education · National Research Foundation of Korea (NRF)
References (36)
Show source-provided references
1. Federal Aviation Administration (2014, October 10). Advisory Circular No. 150/5380-6C Guidelines and Procedures for Maintenance of Airport Pavements, Available online: https://www.faa.gov/regulations_policies/advisory_circulars/index.cfm/go/document.information/documentID/1026067.
2. Karballaeezadeh, N., Zaremotekhases, F., Shamshirband, S., Mosavi, A., Nabipour, N., Csiba, P., and Várkonyi-Kóczy, A.R. (2020). Intelligent Road Inspection with Advanced Machine Learning; Hybrid Prediction Models for Smart Mobility and Transportation Maintenance Systems. Energies, 13.10.20944/preprints202001.0227.v1 ↗
3. Federal Aviation Administration (2021, June 07). Advisory Circular No. 150/5320-6G Airport Pavement Design and Evaluation, Available online: https://www.faa.gov/airports/resources/advisory_circulars/index.cfm/go/document.current/documentnumber/150_5320-6.
4. Hachiya, Y., Watanabe, T., and Kanno, M. (2013). Airfield and Highway Pavement 2013: Sustainable and Efficient Pavements, ASCE.
5. Laguado Lancheros, J., Wolfert, A.R.M., van Nederveen, G.A., Koutamanis, A., and Mooren, F. (2018). Airport Pavement Management Decision Making: A Prioritization Tool to Select Pavement Sections Requiring M&R Treatment. [Master’s Thesis, Delft University of Technology].
6. Implementation of a pavement management system for maintenance and rehabilitation of airport surfaces
7. International Civil Aviation Organization (2022). Doc 9157 Aerodrome Design Manual Part 3—Pavements, ICAO.
8. Multi objective optimization for pavement maintenance programming10.1061/(ASCE)0733-947X(2000)126:5(367) ↗
9. Fuzzy linear programming technique for multiattribute group decision making in fuzzy environments10.1016/j.ins.2003.08.007 ↗
10. A statewide pavement management system10.1287/inte.12.6.5 ↗
11. Hudson, W.R., Haas, R., and Uddin, W. (1997). Infrastructure Management, McGraw.
12. Mahmood, M.S. (2015). Network-Level Maintenance Decisions for Flexible Pavement Using a Soft Computing-Based FRAMEWORK. [Ph.D. Thesis, Nottignham Trent University].
13. Dominance-based rough set approach to budget allocation in highway maintenance activities10.1061/(ASCE)IS.1943-555X.0000051 ↗
14. Applying AHP-based CBR to estimate pavement maintenance cost10.1016/S1007-0214(08)70136-6 ↗
15. GIS-based highway maintenance prioritization model: An integrated approach for highway maintenance in Nepal mountains10.1016/j.jtrangeo.2009.06.016 ↗
16. Management of pavement rehabilitation10.1016/0377-2217(89)90316-0 ↗
17. Network-level optimization of pavement maintenance renewal strategies10.1016/j.aei.2011.08.002 ↗
18. Hybrid multiobjective optimization model for regional pavement-preservation resource allocation10.3141/2084-04 ↗
19. Optimal scheduling of rehabilitation activities for multiple pavement facilities: Exact and approximate solutions10.1016/j.tra.2003.10.007 ↗
20. Deep learning framework for handling concept drift and class imbalanced complex decision-making on streaming data10.1007/s40747-021-00456-0 ↗
21. Algorithms for bottom-up maintenance optimisation for heterogeneous infrastructure systems
22. Jointly optimal policies for pavement maintenance, resurfacing and reconstruction10.1007/s13676-014-0065-1 ↗
23. Timothy, P., and Scott, M. (2023, January 11). Validation of FAA-Proposed Airport Pavement Serviceability Level Index Components. Proceedings of the Transportation Research Board 2023 Annual Meething, Washington, DC, USA.
24. Korea Airports Corporation (2019). Development of Serviceability Level and Improvement of Back-Calculation, KAC. Research Project Report.
25. Project selection by using fuzzy AHP and TOPSIS technique
26. Pavement Management: The Network-Level Decision Process (Abridgment)
27. Development and implementation of a pavement management system for Minnesota
28. Airport Cooperative Research Program (2011). ACRP Synthesis 22 Common Airport Pavement Maintenance Practices, Transportation Research Board.
29. Noruzoliaee, M., and Zou, B. (2019). Airfield Infrastructure Management Using Network-Level Optimization and Stochastic Duration Modeling. Infrastructures, 4.10.3390/infrastructures4010002 ↗
30. Planning maintenance and rehabilitation activities for airport pavements: A combined supervised machine learning and reinforcement learning approach10.1016/j.ijtst.2021.05.006 ↗
31. Hosseini, S.A., and Smadi, O. (2021). How Prediction Accuracy Can Affect the Decision-Making Process in Pavement Management System. Infrastructures, 6.10.3390/infrastructures6020028 ↗
32. Korea Expressway Corporation (2021). Korea Expressway Design and Evaluation Guidelines, KEC.
33. Korea Airports Corporation (2010). Upgrade of Korean Airport Management System (KAPMS), KAC. Research Project Report.
34. Korea Airports Corporation (2022). Analytical Logic Improvement Research for Upgrading Airport Pavement Management System (APMS), KAC. Research Project Report.
35. Lim, Y.H. (2003). Improvement of Project Level PMS and Development of Network Level PMS of National Highway in Korea. [Ph.D. Thesis, Chung-Ang University].
36. Framework for airfield pavements management—An approach based on cost-effectiveness analysis10.1007/s12544-015-0165-5 ↗