Cargando…
A Framework for Bus Trajectory Extraction and Missing Data Recovery for Data Sampled from the Internet
This paper presents a novel framework for trajectories’ extraction and missing data recovery for bus traveling data sampled from the Internet. The trajectory extraction procedure is composed of three main parts: trajectory clustering, trajectory cleaning and trajectory connecting. In the clustering...
Autores principales: | Tong, Changfei, Chen, Huiling, Xuan, Qi, Yang, Xuhua |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5335977/ https://www.ncbi.nlm.nih.gov/pubmed/28208621 http://dx.doi.org/10.3390/s17020342 |
Ejemplares similares
-
A Deep Learning Framework for Driving Behavior Identification on In-Vehicle CAN-BUS Sensor Data
por: Zhang, Jun, et al.
Publicado: (2019) -
Framework for the treatment and reporting of missing data in observational studies: The Treatment And Reporting of Missing data in Observational Studies framework
por: Lee, Katherine J., et al.
Publicado: (2021) -
Missing data: A statistical framework for practice
por: Carpenter, James R., et al.
Publicado: (2021) -
Cerebral visual impairment awareness: Is our postgraduate curriculum missing the bus?
por: Smitha, K S, et al.
Publicado: (2023) -
Bus and communication standards for the data acquisition systems of future accelerators
por: Quinton, S
Publicado: (1989)