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Fast simulation for Road Traffic Network

Published online by Cambridge University Press:  15 August 2002

Roberta Jungblut-Hessel ,
Brigitte Plateau ,
William J. Stewart  and
Bernard Ycart
Roberta Jungblut-Hessel
Affiliation:
ID-IMAG, 55 avenue Jean Kuntzmann, 38330 Montbonnot, France. Research supported by the (CNRS – INRIA – INPG – UJF) joint project , CAPES-COFECUB Agreement (Project 140/93), Brazil and EC Transport RTD Program (Contract No. RO-97-SC-1005) joint project .
Brigitte Plateau
Affiliation:
ID-IMAG, 55 avenue Jean Kuntzmann, 38330 Montbonnot, France. Research supported by the (CNRS – INRIA – INPG – UJF) joint project and EC Transport RTD Program (Contract No. RO-97-SC-1005) joint project .
William J. Stewart
Affiliation:
North Carolina State University, Raleigh, NC 27695-8206, U.S.A. Research supported in part by NSF (DDM-8906248 and CCR-9413309).
Bernard Ycart
Affiliation:
UFR Math-Info, 45 rue des Saints-Pères, 75270 Paris Cedex 06, France. Research supported by EC Transport RTD Program (Contract No. RO-97-SC-1005) joint project .
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Abstract

In this paper we present a method to perform fast simulation oflarge Markovian systems. This method is based on the use of threeconcepts: Markov chain uniformization, event-driven dynamics,and modularity. An application of urban trafficsimulation is presented to illustrate the performance of our approach.

Keywords

Markov chainsstochastic automata networkssimulationstochastic modeling.
Type
Research Article
Information
RAIRO - Operations Research , Volume 35 , Issue 2: ROADEF'99 , April 2001 , pp. 229 - 250
Copyright
© EDP Sciences, 2001

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