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Accelerating Discoveries in Traffic Science

Accelerating Discoveries in Traffic Science

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PUBLISHED
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DOI
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ISSUE
2004 (Vol 16), Issue 2
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Copyright (c) 2024 Ivan Bošnjak, Ibrahim Jusufranić, Vinko Višnjić
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NoDerivatives 4.0 International License.

Modelling Framework for Dynamic Multiclass Traffic Assignment in ITS Environment

Authors:

Ivan Bošnjak

Ibrahim Jusufranić

Vinko Višnjić

Keywords:traffic networks, Intelligent Transport Systems, dynamic modelling, drivers' information

Abstract

Deployment of flexible traffic control, pre-trip, on-trip,guidance and other ITS services require considerable researchtoward the development of appropriate methodological frameworkand tools. In this paper, adapted modelling framework fordynamic mu/tic/ass traffic assignment (DMTA) in ITS environmentis proposed and elaborated. DMTA system uses trafficdata associated with three backdrops: time, space and defined'user classes'. The proposed structure of DMTA system includesmodules for 0-D estimation and prediction, real-timenetwork state simulation, consistency checking, updating functions,resetting functions. The methodological tools for solvingDMTA problems include combination of mathematical programming,simulation and heuristic methods.

References

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    S

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How to Cite
Bošnjak, I. (et al.) 1900. Modelling Framework for Dynamic Multiclass Traffic Assignment in ITS Environment. Traffic&Transportation Journal. 16, 2 (Jan. 1900), 71-76. DOI: https://doi.org/.

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