A simple contagion process describes spreading of traffic jams in urban networks

摘要: The spread of traffic jams in urban networks has long been viewed as a complex spatio-temporal phenomenon that often requires computationally intensive microscopic models for analysis purposes. In this study, we present framework to describe the dynamics congestion propagation and dissipation cities using simple contagion process, inspired by those used model infectious disease population. We introduce two novel macroscopic characteristics network traffic, namely rate \b{eta} {\mu}. these new parameters, \b{eta}, {\mu}, embedded within system ordinary differential equations, analogous well-known Susceptible-Infected-Recovered (SIR) model. proposed contagion-based are verified through an empirical multi-city analysis, can be monitor, predict control fraction congested links over time.