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Abstract |
- This presentation reports on the application of dynamic traffic
> modelling techniques for the estimation of traffic conditions in a
> real-world context. Within the R&D MOBINET project, a real-time
> system called DINO, is currently under development for the dynamic
> estimation of traffic conditions on the very dense network of the
> Munich metropolitan area. Estimated traffic conditions are used by
> transportation management operators and transmitted to private
> information providers. The presentation describes the challenges
> identified within the development process, mostly of practical nature,
> and the solutions adopted so far to address them. Emphasis is placed
> on the modified entropy-maximization algorithm for the time-varying
> estimation of origin-destination matrices and the dynamic traffic
> assignment process which results in the modelled link data.
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