Abstract | ||
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This article deals with the modeling of traffic networks by means of fuzzy granular systems. Such systems are useful to combine discrete event descriptions and continuous approximations of the occurrence of events. For this reason, fuzzy granular systems are interesting in the context of traffic modeling because the traffic is alternatively described with macroscopic continuous models and microscopic discrete event ones. In that context, fuzzy granular systems offer an unique opportunity to associate both categories of models and to pass progressively from a continuous approach to a discrete event one and vice-versa |
Year | DOI | Venue |
---|---|---|
2001 | 10.1109/ICSMC.2001.973105 | SMC |
Keywords | Field | DocType |
petri nets,discrete event simulation,fuzzy logic,fuzzy set theory,road traffic,transportation,continuous flow models,discrete events models,fuzzy granular systems,road traffic networks,microscopy,fuzzy systems,context modeling,petri net | Neuro-fuzzy,Petri net,Fuzzy set operations,Computer science,Fuzzy logic,Road traffic,Fuzzy set,Artificial intelligence,Fuzzy control system,Machine learning,Discrete event simulation | Conference |
Volume | ISSN | ISBN |
2 | 1062-922X | 0-7803-7087-2 |
Citations | PageRank | References |
0 | 0.34 | 3 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Dimitri Lefebvre | 1 | 362 | 52.36 |
P. Thomas | 2 | 78 | 12.59 |