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Exactly Solvable Stochastic Processes for Traffic Modelling

Maxim Samsonov 1 Cyril Furtlehner 1 Jean-Marc Lasgouttes 2
1 TAO - Machine Learning and Optimisation
CNRS - Centre National de la Recherche Scientifique : UMR8623, Inria Saclay - Ile de France, UP11 - Université Paris-Sud - Paris 11, LRI - Laboratoire de Recherche en Informatique
Abstract : We investigate different available methods in the study of exactly solvable stochastic models and their application to the construction of models with acceleration/deceleration dynamics relevant to the road traffic modelling. We consider two family of models: one consisting in multi-speed exclusion processes with acceleration/braking transitions preserving pairwise neighbours locality; a second family of models consisting of tandem queues, with rates coupled dynamically to the flow of clients and enabling for a spontaneous hysteresis mechanism between acceleration and braking phases along the flow.
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Submitted on : Tuesday, June 15, 2010 - 6:32:52 PM
Last modification on : Tuesday, January 11, 2022 - 11:16:20 AM
Long-term archiving on: : Friday, October 19, 2012 - 2:11:17 PM


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  • HAL Id : inria-00492430, version 1



Maxim Samsonov, Cyril Furtlehner, Jean-Marc Lasgouttes. Exactly Solvable Stochastic Processes for Traffic Modelling. [Research Report] RR-7278, INRIA. 2010, pp.26. ⟨inria-00492430⟩



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