Title
Fuzzy granular systems for the modeling of road traffic networks
Abstract
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 Lefebvre136252.36
P. Thomas27812.59