Scientific Results

  • ID:
    publications-5082
  • Type:
    Conference paper
  • Year:
    2023
  • Authors:
    Liu C.; Liu J.; Jia N.; Wang Y.
  • Title:
    Constructing Waterborne Big Data Platform from the Perspective of Resilient Transportation
  • Venue/Journal:
    7th IEEE International Conference on Transportation Information and Safety, ICTIS 2023
  • DOI:
    10.1109/ICTIS60134.2023.10243995
  • Research type:
  • Water System:
  • Technical Focus:
  • Abstract:
    Based on the latest research progress of digital twin channel and intelligent channel, as well as the guidance for the waterborne big data platform construction, this study explores the construction of a waterborne big data platform from the perspective of resilient transportation. In view of the new aim of developing an intelligent and safe national transportation network unveiled by the Guidelines on Developing National Comprehensive Transport Network and the trunk-branch layout of inland water transportation, it is proposed that the resilience of water transport on the one hand is reflected in the role that the water channel system plays in the resilience of the entire transportation network, and on the other hand, it is reflected in the capabilities of safety early warning, prevention and control, emergency response and recovery of the water channel itself. Therefore, the basic functions and core theories of the resilient transportation module for the waterborne big data platform are proposed, and the data acquisition methods are briefly described. Β© 2023 IEEE.
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