Urban congestion behaves like a thermodynamic phase transition with an effective temperature that quantifies city infrastructure heterogeneity and predicts resilience to demand increases.
Switch between critical percolation modes in city traffic dynamics
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
Develops a quantum-percolation DPC metric that ranks critical areas in transport networks by continuous propagation loss, applied to Sioux Falls and post-Irma Florida networks where it differs from classical percolation and other centrality measures.
citing papers explorer
-
Thermodynamic phase transitions reveal the resilience structure of urban traffic congestion
Urban congestion behaves like a thermodynamic phase transition with an effective temperature that quantifies city infrastructure heterogeneity and predicts resilience to demand increases.
-
Quantum percolation based dynamic propagation connectivity for critical-area identification in transport networks
Develops a quantum-percolation DPC metric that ranks critical areas in transport networks by continuous propagation loss, applied to Sioux Falls and post-Irma Florida networks where it differs from classical percolation and other centrality measures.