Exactly Solvable Stochastic Processes for Traffic Modelling - Archive ouverte HAL Access content directly
Conference Papers Year : 2010

Exactly Solvable Stochastic Processes for Traffic Modelling

(1) , (1) , (2)
1
2
Maxim Samsonov
  • Function : Author
  • PersonId : 872115
Machine Learning and Optimisation
Cyril Furtlehner
  • Function : Author
  • PersonId : 838835
Machine Learning and Optimisation
Jean-Marc Lasgouttes
Informatique, Mathématiques et Automatique pour la Route Automatisée

Abstract

We analyze different available methods in the study of the exactly solvable stochastic models and their application to construction and modeling the road traffic with acceleration/deceleration dynamics.

Domains

Physics [physics] Condensed Matter [cond-mat] Statistical Mechanics [cond-mat.stat-mech]
Fichier principal
Vignette du fichier
smodels_short.pdf (126.63 Ko) Télécharger le fichier
Origin : Files produced by the author(s)

Cyril Furtlehner  : Connect in order to contact the contributor

https://hal.inria.fr/inria-00533154

Submitted on : Monday, November 15, 2010-5:27:13 PM

Last modification on : Sunday, June 26, 2022-11:52:30 AM

Long-term archiving on: Friday, October 26, 2012-3:35:51 PM

Download

Dates and versions

inria-00533154 , version 1 (15-11-2010)

Identifiers

  • HAL Id : inria-00533154 , version 1

Cite

Maxim Samsonov, Cyril Furtlehner, Jean-Marc Lasgouttes. Exactly Solvable Stochastic Processes for Traffic Modelling. 25th International Symposium on Computer and Information Sciences - ISCIS 2010, Erol Gelenbe, Ricardo Lent, Georgia Sakellari, Sep 2010, Londres, United Kingdom. pp.75-78. ⟨inria-00533154⟩

Export

BibTeX TEI Dublin Core DC Terms EndNote Datacite

Collections

EC-PARIS CNRS INRIA UMR8623 INRIA2 LRI-AO
257 View
167 Download

Share

Gmail Facebook Twitter LinkedIn More