SELF-ORGANIZED CRITICALITY AND 1/f NOISE IN TRAFFIC
نویسندگان
چکیده
Phantom traffic jams may emerge “out of nowhere” from small fluctuations rather than being triggered by large, exceptional events. We show how phantom jams arise in a model of single lane highway traffic, which mimics human driving behavior. Surprisingly, the optimal state of highest efficiency, with the largest throughput, is a critical state with traffic jams of all sizes. We demonstrate that open systems self-organize to the most efficient state. In the model we study, this critical state is a percolation transition for the phantom traffic jams. At criticality, the individual jams have a complicated fractal structure where cars follow an intermittent stop and go pattern. We analytically derive the form of the corresponding power spectrum to be 1/f with α = 1 exactly. This theoretical prediction agrees with our numerical simulations and with observations of 1/f noise in real traffic.
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تاریخ انتشار 1996