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A communication cascade fault state perception algorithm is proposed to address the issues of fault avalanche and monitoring inaccuracy caused by non-linear coupling between stations in intelligent collaborative transportation networks. This algorithm uses S-transform time-frequency analysis to process traffic data, locates fragile links through the distance between links and centroids, extracts hyperedge features based on instantaneous phase, and achieves fault perception based on low dimensional joint probability and fitness functions. The experiment shows that the algorithm accurately identifies 8 critical fragile links, with a cascade fault perception sensitivity of over 92% and a low false alarm rate.

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Intelligent Cooperative Transportation Network Communication Cascade Failure State Perception Algorithm

  • 会议论文

  • 发表日期：

    2026年

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  • Junyi Yan,
  • Jian Li

摘要

A communication cascade fault state perception algorithm is proposed to address the issues of fault avalanche and monitoring inaccuracy caused by non-linear coupling between stations in intelligent collaborative transportation networks. This algorithm uses S-transform time-frequency analysis to process traffic data, locates fragile links through the distance between links and centroids, extracts hyperedge features based on instantaneous phase, and achieves fault perception based on low dimensional joint probability and fitness functions. The experiment shows that the algorithm accurately identifies 8 critical fragile links, with a cascade fault perception sensitivity of over 92% and a low false alarm rate.