Abstract
This study deals with an investigation of the influence of several assignment criteria, combined with a different set of information about traffic conditions, on the efficacy and stability of the solution of the off-line dynamic demand estimation problem.Motivations of such investigation derive from the need to better reproduce the real users’ behaviors during the demand estimation and benefit from the extensive information, which is provided by traffic monitoring systems that collect advanced traffic data ubiquitously distributed on the network. Several synthetic experiments have been conducted on a test network, obtaining interesting results about the common adoption of dynamic user equilibrium and about the possibility to introduce new types of information during the optimization.
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