Abstract
We present a model of traffic flow on generic urban road networks based on cellularautomata. We apply this model to an existing road network in the Australian city ofMelbourne, using empirical data as input. For comparison, we also apply this model to asquare-grid network using hypothetical input data. On both networks we compare theeffects of non-adaptive versus adaptive traffic lights, in which instantaneous traffic stateinformation feeds back into the traffic signal schedule. We observe that not only doadaptive traffic lights result in better averages of network observables, they also lead tosignificantly smaller fluctuations in these observables. We furthermore comparetwo different systems of adaptive traffic signals, one which is informed by thetraffic state on both upstream and downstream links and one which is informed byupstream links only. We find that, in general, both the mean and the fluctuation ofthe travel time are smallest when using the joint upstream–downstream controlstrategy.
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