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Research on Comprehensive Multi-Infrastructure Optimization in Transportation Asset Management: The Case of Roads and Bridges

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  • Zhang Chen

    (The Key Laboratory of Road and Traffic Engineering, Ministry of Education, 4800 Cao’an Road, Jiading District, Shanghai 201804, China)

  • Yuanlu Liang

    (The Key Laboratory of Road and Traffic Engineering, Ministry of Education, 4800 Cao’an Road, Jiading District, Shanghai 201804, China)

  • Yangyang Wu

    (Shanghai Municipal Engineering Design Institute (Group) Co., Ltd., Shanghai 200092, China)

  • Lijun Sun

    (The Key Laboratory of Road and Traffic Engineering, Ministry of Education, 4800 Cao’an Road, Jiading District, Shanghai 201804, China)

Abstract

Optimization is the core of transportation asset management, but current optimization approaches are still in the stage of single infrastructure management, which seriously hinders the development and application of transportation asset management. This paper establishes a comprehensive multi-infrastructure optimization model for transportation assets consisting of roads and bridges, which is aimed at achieving the goal of transportation asset comfort, integrity, and security, taking budget funds as constraint conditions, and applying the optimization technique of goal programming and integer programming. An interactive fuzzy linear-weighted optimum-order algorithm is presented to solve the comprehensive optimization model. Finally, the comprehensive multi-infrastructure optimization model and algorithm are verified to be effective by practical data in a case study. The results indicate that the model and algorithm can provide a satisfactory and reasonable maintenance and rehabilitation schedule for transportation asset management agencies.

Suggested Citation

  • Zhang Chen & Yuanlu Liang & Yangyang Wu & Lijun Sun, 2019. "Research on Comprehensive Multi-Infrastructure Optimization in Transportation Asset Management: The Case of Roads and Bridges," Sustainability, MDPI, vol. 11(16), pages 1-12, August.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:16:p:4430-:d:258182
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    References listed on IDEAS

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    1. Ho, William & Xu, Xiaowei & Dey, Prasanta K., 2010. "Multi-criteria decision making approaches for supplier evaluation and selection: A literature review," European Journal of Operational Research, Elsevier, vol. 202(1), pages 16-24, April.
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    Cited by:

    1. Alice Consilvio & José Solís-Hernández & Noemi Jiménez-Redondo & Paolo Sanetti & Federico Papa & Iñigo Mingolarra-Garaizar, 2020. "On Applying Machine Learning and Simulative Approaches to Railway Asset Management: The Earthworks and Track Circuits Case Studies," Sustainability, MDPI, vol. 12(6), pages 1-24, March.
    2. Yves Le Gat & Corinne Curt & Caty Werey & Kevin Caillaud & Bénédicte Rulleau & Franck Taillandier, 2023. "Water infrastructure asset management: state of the art and emerging research themes," Post-Print hal-04151980, HAL.

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