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An Improved Intelligent Auction Mechanism for Emergency Material Delivery

Author

Listed:
  • Jie Zhang

    (School of Systems Engineering, National University of Defense Technology, Changsha 410000, China)

  • Yifan Zhu

    (School of Systems Engineering, National University of Defense Technology, Changsha 410000, China)

  • Tao Wang

    (School of Systems Engineering, National University of Defense Technology, Changsha 410000, China)

  • Weiping Wang

    (School of Systems Engineering, National University of Defense Technology, Changsha 410000, China)

  • Rui Wang

    (School of Systems Engineering, National University of Defense Technology, Changsha 410000, China)

  • Xiaobo Li

    (School of Systems Engineering, National University of Defense Technology, Changsha 410000, China)

Abstract

Emergency material delivery is vital to disaster emergency rescue. Herein, the framework of the emergency material delivery system (EMDS) with the unmanned aerial vehicle (UAV) as the vehicle is proposed, and the problem is modeled into a multi-trip time-dependent dynamic vehicle routing problem with split-delivery (MTTDDVRP-SD) in combination with the rescue reality, which provides decision support for planning disaster relief material. Due to the universality of dynamic interference in the process of material delivery, an optimization algorithm based on the traditional intelligent auction mechanism is proposed to avoid system performance degradation or even collapse. The algorithm adds pre-authorization and sequential auction mechanisms to the traditional auction mechanism, where the pre-authorization mechanism improves the capability performance of the system when there is no interference during the rescue process and the sequential auction mechanism improves the resilience performance of the system when it faces interferences. Finally, considering three types of interference comprehensively, which includes new task generations , task unexpected changes and UAV’s number decreases , the proposed algorithm is compared with DTAP (DTA based on sequential single item auctions) and CBBA-PR (consensus-based bundle algorithms-partial replanning) algorithms under different dynamic interference intensity scenarios for simulation experimental from two perspectives of the capability performance and resilience performance. The results of Friedman’s test with 99% confidence interval indicate that the proposed algorithm can effectively improve the capability performance and resilience performance of EMDS.

Suggested Citation

  • Jie Zhang & Yifan Zhu & Tao Wang & Weiping Wang & Rui Wang & Xiaobo Li, 2022. "An Improved Intelligent Auction Mechanism for Emergency Material Delivery," Mathematics, MDPI, vol. 10(13), pages 1-30, June.
    • Handle: RePEc:gam:jmathe:v:10:y:2022:i:13:p:2184-:d:845716
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    References listed on IDEAS

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    1. Li Ma & Minghan Xin & Yi-Jia Wang & Yanjiao Zhang, 2022. "Dynamic Scheduling Strategy for Shared Agricultural Machinery for On-Demand Farming Services," Mathematics, MDPI, vol. 10(21), pages 1-22, October.

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