Fast simulation for Road Traffic Network

Roberta Jungblut-Hessel; Brigitte Plateau; William J. Stewart; Bernard Ycart

RAIRO - Operations Research (2010)

  • Volume: 35, Issue: 2, page 229-250
  • ISSN: 0399-0559

Abstract

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

How to cite

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Jungblut-Hessel, Roberta, et al. "Fast simulation for Road Traffic Network." RAIRO - Operations Research 35.2 (2010): 229-250. <http://eudml.org/doc/197845>.

@article{Jungblut2010,
abstract = { In this paper we present a method to perform fast simulation of large Markovian systems. This method is based on the use of three concepts: Markov chain uniformization, event-driven dynamics, and modularity. An application of urban traffic simulation is presented to illustrate the performance of our approach. },
author = {Jungblut-Hessel, Roberta, Plateau, Brigitte, Stewart, William J., Ycart, Bernard},
journal = {RAIRO - Operations Research},
keywords = {Markov chains; stochastic automata networks; simulation; stochastic modeling.; Markov chains, stochastic automata networks, simulation, stochastic modeling},
language = {eng},
month = {3},
number = {2},
pages = {229-250},
publisher = {EDP Sciences},
title = {Fast simulation for Road Traffic Network},
url = {http://eudml.org/doc/197845},
volume = {35},
year = {2010},
}

TY - JOUR
AU - Jungblut-Hessel, Roberta
AU - Plateau, Brigitte
AU - Stewart, William J.
AU - Ycart, Bernard
TI - Fast simulation for Road Traffic Network
JO - RAIRO - Operations Research
DA - 2010/3//
PB - EDP Sciences
VL - 35
IS - 2
SP - 229
EP - 250
AB - In this paper we present a method to perform fast simulation of large Markovian systems. This method is based on the use of three concepts: Markov chain uniformization, event-driven dynamics, and modularity. An application of urban traffic simulation is presented to illustrate the performance of our approach.
LA - eng
KW - Markov chains; stochastic automata networks; simulation; stochastic modeling.; Markov chains, stochastic automata networks, simulation, stochastic modeling
UR - http://eudml.org/doc/197845
ER -

References

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  12. T. Saito, K. Yasui, S. Fuji and S. Itakura, Development of microscopic simulation model for traffic network (micstram ii) and traffic flow simulator for evaluation of traffic signal control (tras-tsc), in 2nd World Congress on Intelligent Transport Systems, Vol. IV, Yokohama (1995) 1920-1925.  
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