Cellular automata simulating experimental properties of traffic flow
Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topicsPublished 1 March 1999Open access
Dirk Helbing, Michael Schreckenberg
Citations139
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TL;DR
A model for one-dimensional traffic flow was developed using cellular automata that showed the characteristic quantities of traffic flow and could be calibrated to empirical data.
Abstract
A model for 1D traffic flow is developed, which is discrete in space and time. Like the cellular automaton model by Nagel and Schreckenberg [J. Phys. I France 2, 2221 (1992)], it is simple, fast, and can describe stop-and-go traffic. Due to its relation to the optimal velocity model by Bando et al. [Phys. Rev. E 51, 1035 (1995)], its instability mechanism is of deterministic nature. The model can be easily calibrated to empirical data and displays the experimental features of traffic data recently reported by Kerner and Rehborn [Phys. Rev. E 53, R1297 (1996)].
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Computer ScienceMathematicsEngineering
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