Traffic state estimation on highway: A comprehensive survey
Traffic state estimation (TSE) refers to the process of the inference of traffic state variables
(ie, flow, density, speed and other equivalent variables) on road segments using partially …
(ie, flow, density, speed and other equivalent variables) on road segments using partially …
Sensor data quality: A systematic review
HY Teh, AW Kempa-Liehr, KIK Wang - Journal of Big Data, 2020 - Springer
Sensor data quality plays a vital role in Internet of Things (IoT) applications as they are
rendered useless if the data quality is bad. This systematic review aims to provide an …
rendered useless if the data quality is bad. This systematic review aims to provide an …
A Bayesian tensor decomposition approach for spatiotemporal traffic data imputation
The missing data problem is inevitable when collecting traffic data from intelligent
transportation systems. Previous studies have shown the advantages of tensor completion …
transportation systems. Previous studies have shown the advantages of tensor completion …
An efficient realization of deep learning for traffic data imputation
Traffic data provide the basis for both research and applications in transportation control,
management, and evaluation, but real-world traffic data collected from loop detectors or …
management, and evaluation, but real-world traffic data collected from loop detectors or …
Multi-community passenger demand prediction at region level based on spatio-temporal graph convolutional network
Region-level passenger demand prediction plays an important role in the coordination of
travel demand and supply in the urban public transportation system. The complex urban …
travel demand and supply in the urban public transportation system. The complex urban …
A transfer Learning-Based LSTM strategy for imputing Large-Scale consecutive missing data and its application in a water quality prediction system
Z Chen, H Xu, P Jiang, S Yu, G Lin, I Bychkov… - Journal of …, 2021 - Elsevier
In recent years, water quality monitoring has been crucial to improve water resource
protection and management. Under the relevant laws and regulations, environmental …
protection and management. Under the relevant laws and regulations, environmental …
Traffic flow prediction based on combination of support vector machine and data denoising schemes
Traffic flow prediction with high accuracy is definitely considered as one of most important
parts in the Intelligent Transportation Systems. As interfering by some external factors, the …
parts in the Intelligent Transportation Systems. As interfering by some external factors, the …
Stochastic numerical technique for solving HIV infection model of CD4+ T cells
The intension of the present work is to present the stochastic numerical approach for solving
human immunodeficiency virus (HIV) infection model of cluster of differentiation 4 of T-cells …
human immunodeficiency virus (HIV) infection model of cluster of differentiation 4 of T-cells …
Missing value imputation for traffic-related time series data based on a multi-view learning method
In reality, readings of sensors on highways are usually missing at various unexpected
moments due to some sensor or communication errors. These missing values do not only …
moments due to some sensor or communication errors. These missing values do not only …
[HTML][HTML] Missing value imputation affects the performance of machine learning: A review and analysis of the literature (2010–2021)
Recently, numerous studies have been conducted on Missing Value Imputation (MVI),
intending the primary solution scheme for the datasets containing one or more missing …
intending the primary solution scheme for the datasets containing one or more missing …