Name
Title | ||
|---|---|---|
A Survey Of Fuzzy Set Theory In Intelligent Transportation: State Of The Art And Future Trends |
Abstract | ||
|---|---|---|
Intelligent transportation systems (ITS) have received increasing attention in academy and in industry. Being able to handle uncertainties and complexity, fuzzy systems are applied in vast areas of real life including intelligent transportation systems. In this paper, a comprehensive survey of the research on the application of fuzzy systems in various traffic control engineering domains and its surroundings is presented. Main issues such as different control levels, different view levels as well as the advantages and disadvantages of fuzzy approaches are reviewed. To conclude, open questions and interesting issues in the field are discussed. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/ICSMC.2009.5346648 | 2009 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS (SMC 2009), VOLS 1-9 |
Keywords | Field | DocType |
inteligent transportation systems, artifitial inteligence, fuzzy Logic | Data mining,Advanced Traffic Management System,Industrial engineering,Computer science,Fuzzy logic,Fuzzy set,Artificial intelligence,Fuzzy control system,Intelligent transportation system,Machine learning | Conference |
ISSN | Citations | PageRank |
1062-922X | 2 | 0.40 |
References | Authors | |
11 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mohsen Davarynejad | 1 | 61 | 6.81 |
| Jos Vrancken | 2 | 90 | 13.98 |