Modeling Disruption and Recovery of Traffic in Road Networks

We study the impact of disruptions on traffic networks, and the relaxation of the system after the removal of the disruption. We model the steady-state density along the disrupted route using a simple phenomenological model. We then combine this model with domain wall theory to analyze the transient behavior of the system. We compare the predictions produced by these macroscopic models with simulations of a stochastic cellular automaton model.

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