Cargando…
Spatial Copula Model for Imputing Traffic Flow Data from Remote Microwave Sensors
Issues of missing data have become increasingly serious with the rapid increase in usage of traffic sensors. Analyses of the Beijing ring expressway have showed that up to 50% of microwave sensors pose missing values. The imputation of missing traffic data must be urgently solved although a precise...
Autores principales: | Ma, Xiaolei, Luan, Sen, Du, Bowen, Yu, Bin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5676619/ https://www.ncbi.nlm.nih.gov/pubmed/28934164 http://dx.doi.org/10.3390/s17102160 |
Ejemplares similares
-
Copula-Based Uncertainty Quantification (Copula-UQ) for Multi-Sensor Data in Structural Health Monitoring
por: Mu, He-Qing, et al.
Publicado: (2020) -
Kernel Sparse Representation with Hybrid Regularization for On-Road Traffic Sensor Data Imputation
por: Chen, Xiaobo, et al.
Publicado: (2018) -
Imputing Missing Data in Hourly Traffic Counts
por: Shafique, Muhammad Awais
Publicado: (2022) -
Traffic Speed Data Imputation Method Based on Tensor Completion
por: Ran, Bin, et al.
Publicado: (2015) -
Random Traffic Flow Simulation of Heavy Vehicles Based on R-Vine Copula Model and Improved Latin Hypercube Sampling Method
por: Lu, Hailin, et al.
Publicado: (2023)