Cargando…
Fuzzy Ontology-Based System for Driver Behavior Classification
Intelligent transportation systems encompass a series of technologies and applications that exchange information to improve road traffic and avoid accidents. According to statistics, some studies argue that human mistakes cause most road accidents worldwide. For this reason, it is essential to model...
Autores principales: | Fernandez, Susel, Ito, Takayuki, Cruz-Piris, Luis, Marsa-Maestre, Ivan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9611216/ https://www.ncbi.nlm.nih.gov/pubmed/36298305 http://dx.doi.org/10.3390/s22207954 |
Ejemplares similares
-
Ontology-Based Architecture for Intelligent Transportation Systems Using a Traffic Sensor Network
por: Fernandez, Susel, et al.
Publicado: (2016) -
Optimized Sensor Network and Multi-Agent Decision Support for Smart Traffic Light Management
por: Cruz-Piris, Luis, et al.
Publicado: (2018) -
Ontology Alignment Architecture for Semantic Sensor Web Integration
por: Fernandez, Susel, et al.
Publicado: (2013) -
Access Control Mechanism for IoT Environments Based on Modelling Communication Procedures as Resources
por: Cruz-Piris, Luis, et al.
Publicado: (2018) -
Subtractive Fuzzy Classifier Based Driver Distraction Levels Classification
Using EEG
por: Wali, Mousa Kadhim, et al.
Publicado: (2013)