Scale-free resilience of real traffic jams

• DOI: 10.1073/pnas.1814982116
• Publication Date: 2019-04-16T19:16:21Z
• Authors: Limiao Zhang; Guanwen Zeng; Daqing Li; Hai-Jun Huang; H. Eugene Stanley; Shlomo Havlin
• Keywords: Resilience

Significance Traffic congestion has become the most stubborn disease for health of a city. Like self-healing ability biological unit from diseases, transportation can also recover spontaneously various disturbances. To describe this recovery, we define resilience metric as spatiotemporal cluster, which be used other network systems. Based on large-scale GPS datasets, reveal that recovery behavior is governed by three scaling laws all scales. These are found independent microscopic details, including fluctuation traffic demand and corresponding management. Our results help to better characterize improve adaptation city perturbations.