Integrated airport pavement management using a hybrid approach of Markov Chain and supervised multi-objective genetic algorithms

An airport pavement management system is of great significance in terms of allocating budget and resources as well as preserving the level of serviceability and safety. In order to provide a more accurate, reliable, and applicable plan for airport pavement management, the combination and interrelation of four crucial affecting factors should be considered: pavement age, traffic load frequency, weather conditions, as well as maintenance actions effects. These factors have not been comprehensively studied enough neither within the deterioration modelling, which is the core of airport pavement management, nor through the decision-making procedure. The Markov Chain method is used for deterioration modelling. The data required to build up Markov Chain deterioration models are collected through questionnaires filled by experts. Having built up deterioration models, the second version of Non-Dominated Sorting Genetic Algorithms (NSGA-II) is applied to solve pavement management problems, i.e. providing a pavement maintenance activity plan over the planning horizon through a supervised manner considering both pavement conditions and monetary resources as objective functions. Finally, the proposed plan maintains a minimum acceptable level of airport pavement conditions over the planning horizon minimizing budget.

• Record URL:
  • https://doi.org/10.1080/10298436.2019.1571208
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/oclc/44544515
• Supplemental Notes:
  • © 2019 Informa UK Limited, trading as Taylor & Francis Group. Abstract reprinted with permission of Taylor & Francis.
• Authors:
  • Ansarilari, Zahra
  • Golroo, Amir
• Publication Date: 2020-12

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 1864-1873
• Serial:
  • International Journal of Pavement Engineering
  • Volume: 21
  • Issue Number: 14
  • Publisher: Taylor & Francis
  • ISSN: 1029-8436
  • Serial URL: http://www.tandf.co.uk/journals/titles/10298436.html

Subject/Index Terms

• TRT Terms: Airport runways; Deterioration; Genetic algorithms; Maintenance management; Markov chains; Pavement management systems
• Identifier Terms: Fast Non-dominated Sorting Genetic Algorithm-II
• Subject Areas: Aviation; Maintenance and Preservation; Pavements;

Filing Info

• Accession Number: 01759344
• Record Type: Publication
• Files: TRIS
• Created Date: Nov 30 2020 11:48AM