Fast simulation for Road Traffic Network

Dans cet article, nous presentons une methode pour realiser des simulations rapides de grands systemes Markoviens. Cette methode est basee sur l'utilisation de trois concepts: l'uniformisation de chaine de Markov, une dynamique liee aux evenements et la modularite. Une application de trafic urbain illustre les performances de notre approche.

[1]  FernandesPaulo,et al.  Efficient descriptor-vector multiplications in stochastic automata networks , 1998 .

[2]  Susanna Donatelli,et al.  Superposed Stochastic Automata: A Class of Stochastic Petri Nets with Parallel Solution and Distributed State Space , 1993, Perform. Evaluation.

[3]  Karim Atif.  Modélisation du parallélisme et de la synchronisation , 1992 .

[4]  Iisakki Kosonen.  HUTSIM: SIMULATION TOOL FOR TRAFFIC SIGNAL CONTROL PLANNING , 1996 .

[5]  Brigitte Plateau,et al.  On the stochastic structure of parallelism and synchronization models for distributed algorithms , 1985, SIGMETRICS '85.

[6]  Brigitte Plateau,et al.  Stochastic Automata Network For Modeling Parallel Systems , 1991, IEEE Trans. Software Eng..

[7]  Brigitte Plateau.  On the stochastic structure of parallelism and synchronization models for distributed algorithms , 1985, SIGMETRICS 1985.

[8]  Paulo Fernandes,et al.  Optimizing tensor product computations in stochastic automata networks , 1998 .

[9]  Harilaos N. Koutsopoulos,et al.  A microscopic traffic simulator for evaluation of dynamic traffic management systems , 1996 .

[10]  G. Marsaglia,et al.  A New Class of Random Number Generators , 1991 .

[11]  Paulo Fernandes,et al.  Efficient descriptor-vector multiplications in stochastic automata networks , 1998, JACM.

[12]  Satoshi Fujii,et al.  DEVELOPMENT OF A MICROSCOPIC SIMULATION MODEL FOR TRAFFIC NETWORK (MICSTRAN-II) AND A TRAFFIC FLOW SIMULATOR FOR EVALUATION OF TRAFFIC SIGNAL CONTROL (TRAS-TSC) , 1995 .

[13]  Peter Kemper.  Numerical Analysis of Superposed GSPNs , 1996, IEEE Trans. Software Eng..