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Modeling and Optimization of Traffic Flow in Urban Areas - Czech ...

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34 Chapter 3 General Light Controlled Intersection Model<strong>in</strong>tersection <strong>in</strong>itiates the state update, implies the computation performance.The total real simulation time for the model based on the discrete PN is4927 s <strong>and</strong> the model uses 149523 states from the state space. On the otherside, the total real simulation time for the model based on the CCPN is 2 s<strong>and</strong> model uses 34 states. We used st<strong>and</strong>ard PC (Intel Core2 CPU T7200@2.00 GHz, 4GB RAM) for the simulations.3.5 SummaryIn the chapter, a new method for conflict resolution <strong>in</strong> CCPN has been presented.The conflict resolution method is based on the maximal speed proportion.Next, the iterative algorithm for this problem <strong>and</strong> its solution byLP was shown. LP gives us an effective method to solve complex cont<strong>in</strong>uousPetri net models.Furthermore, the described method for conflict resolution was used <strong>in</strong> alight controlled <strong>in</strong>tersection model based on CCPN. The model describes thetraffic flow from the macroscopic po<strong>in</strong>t <strong>of</strong> view. This model is <strong>in</strong>novative,firstly, by the free space model<strong>in</strong>g together with the opposite direction <strong>of</strong>the vehicular flow. Secondly, by the constant speed cont<strong>in</strong>uous Petri net useonly, i.e. without a discrete part for <strong>in</strong>tersection control. The performanceevaluation shows that the real time <strong>of</strong> the simulation is much better than foran equivalent model based on the discrete PN. The accuracy <strong>of</strong> the simulationresults was successfuly compared with real data from traffic <strong>in</strong> Prague.

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