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Showing 1–2 of 2 results
Advanced filters: Author: Jinxiao Duan Clear advanced filters

  • Heavy traffic jams are difficult to predict due to the complexity of traffic dynamics. The authors propose a framework to unveil identifiable early signals and predict the eventual outcome of traffic bottlenecks, which may be useful for designing effective methods preventing traffic jams.

    • Jinxiao Duan
    • Guanwen Zeng
    • Shlomo Havlin
    ResearchOpen Access
    Nature Communications
    Volume: 14, P: 1-11

  • Urban traffic congestion reveals consistent daily patterns, termed “jam-prints”, across cities. By analyzing real-world data with an enhanced jam tree model, the authors identify consistent patterns in traffic jam costs.

    • Guanwen Zeng
    • Nimrod Serok
    • Shlomo Havlin
    ResearchOpen Access
    Communications Physics
    Volume: 8, P: 1-10