Onset of traffic congestion in complex networks.

By Liang Zhao, Ying-Cheng Lai, Kwangho Park, Nong Ye. Physical review. E, Statistical, nonlinear, and soft matter physics, 2005

409 citations recorded by the source corpus.

Subfields: Condensed Matter Physics, Mathematical Physics, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/d90cad5b49811fdb1091d2352004e669e961a780

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In Statistical and Nonlinear Physics

1. Haiyang Yu
2. Yinhai Wang

Citations in the corpus

• Large-Scale Transportation Network Congestion Evolution Prediction Using Deep Learning Theory (2015, background): “In complex network theory, transportation networks can be abstracted as scale-free networks [9], and traffic flow dynamics over the network are generated based on the power law distribution [11] However, these assumptions are not always adherent to the reality, and lack sufficient traffic sensor…”
• The spatial variability of vehicle densities as determinant of urban network capacity (2010, neutral): “A (2010) 368, 4627–4647 doi:10.1098/rsta.2010.0099 The spatial variability of vehicle densities as determinant of urban network capacity”