Nonlinear Sciences – Cellular Automata and Lattice Gases
Scientific paper
2010-11-29
J. Stat. Mech. (2011) P04008
Nonlinear Sciences
Cellular Automata and Lattice Gases
41 pages, pdflatex
Scientific paper
10.1088/1742-5468/2011/04/P04008
We present a model of traffic flow on generic urban road networks based on cellular automata. We apply this model to an existing road network in the Australian city of Melbourne, using empirical data as input. For comparison, we also apply this model to a square-grid network using hypothetical input data. On both networks we compare the effects of non-adaptive vs adaptive traffic lights, in which instantaneous traffic state information feeds back into the traffic signal schedule. We observe that not only do adaptive traffic lights result in better averages of network observables, they also lead to significantly smaller fluctuations in these observables. We furthermore compare two different systems of adaptive traffic signals, one which is informed by the traffic state on both upstream and downstream links, and one which is informed by upstream links only. We find that, in general, both the mean and the fluctuation of the travel time are smallest when using the joint upstream-downstream control strategy.
de Gier Jan
Garoni Timothy M.
Rojas Omar
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