Emergent Traffic Jams
arXiv:adap-org/9502004 · doi:10.1103/PhysRevE.51.2909
Abstract
We study a single-lane traffic model that is based on human driving behavior. The outflow from a traffic jam self-organizes to a critical state of maximum throughput. Small perturbations of the outflow far downstream create emergent traffic jams with a power law distribution of lifetimes, . On varying the vehicle density in a closed system, this critical state separates lamellar and jammed regimes, and exhibits noise in the power spectrum. Using random walk arguments, in conjunction with a cascade equation, we develop a phenomenological theory that predicts the critical exponents for this transition and explains the self-organizing behavior. These predictions are consistent with all of our numerical results.
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References in corpus (5)
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