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Application of Uncertain AHP Method in Analyzing Travel Time Belief Reliability in Transportation Network

Author

Listed:
  • Yi Yang

    (School of Reliability and Systems Engineering, Beihang University, Beijing 100191, China
    Peng Cheng Laboratory, Shenzhen 518000, China)

  • Jiaying Gu

    (School of Reliability and Systems Engineering, Beihang University, Beijing 100191, China)

  • Siyu Huang

    (School of Reliability and Systems Engineering, Beihang University, Beijing 100191, China)

  • Meilin Wen

    (School of Reliability and Systems Engineering, Beihang University, Beijing 100191, China)

  • Yong Qin

    (State Key Laboratory of Rail Traffic Control and Safety, School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China)

Abstract

Because predictions of transportation system reliability can provide useful information for intelligent transportation systems (ITS), evaluation of them might be viewed as a beneficial activity for reducing traffic congestion. This evaluation procedure could include some alternatives and criteria in a discrete decision space. To handle this evaluation process in an uncertain environment, a novel uncertain multi-criteria decision-making (MCDM) method is put forward in this paper. Considering the validity of uncertainty theory as a measure of epistemic uncertainty, we first introduce it into analytic hierarchy process (AHP) and provide the whole calculation procedure of the approach. The proposed approach is employed to evaluate regional travel time belief reliability in a case study. Additionally, a comparison is performed between the results of uncertain AHP and other MCDM methods to examine the efficiency of this method. These analyses show that uncertainty theory is particularly suited to be employed combination with the AHP method.

Suggested Citation

  • Yi Yang & Jiaying Gu & Siyu Huang & Meilin Wen & Yong Qin, 2022. "Application of Uncertain AHP Method in Analyzing Travel Time Belief Reliability in Transportation Network," Mathematics, MDPI, vol. 10(19), pages 1-20, October.
    • Handle: RePEc:gam:jmathe:v:10:y:2022:i:19:p:3637-:d:933785
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    References listed on IDEAS

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    1. Feng, Hailin & Lv, Haibin & Lv, Zhihan, 2023. "Resilience towarded Digital Twins to improve the adaptability of transportation systems," Transportation Research Part A: Policy and Practice, Elsevier, vol. 173(C).
    2. Igor Kabashkin, 2023. "Model of Multi Criteria Decision-Making for Selection of Transportation Alternatives on the Base of Transport Needs Hierarchy Framework and Application of Petri Net," Sustainability, MDPI, vol. 15(16), pages 1-26, August.

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