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Dynamic User Equilibria in Traffic Simulation Models

By Christian Gawron, Stefan Krauß and Peter Wagner


We present an iterative algorithm to determine the dynamic user equilibrium for link costs given by a traffic simulation model. Each driver's route choice is modelled by a discrete probability distribution which is used to select a route in the simulation. After each simulation run, the probability distribution is adapted to minimize the perceived costs. As an example application, a dynamic version of Braess's paradox is studied

Topics: Highway traffic, Flows in networks (probabilistic
Year: 1997
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