A Bidirectional Searching Strategy to Improve Data Quality Based on K-Nearest Neighbor Approach
Traffic data are the basis of traffic control, planning, management, and other implementations. Incomplete traffic data that are not conducive to all aspects of transport research and related activities can have adverse effects such as traffic status identification error and poor control performance...
Main Authors: | Minghui Ma, Shidong Liang, Yifei Qin |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-06-01
|
Series: | Symmetry |
Subjects: | |
Online Access: | https://www.mdpi.com/2073-8994/11/6/815 |
Similar Items
-
Traffic Flow Prediction With Missing Data Imputed by Tensor Completion Methods
by: Qin Li, et al.
Published: (2020-01-01) -
The Problem Of Imputation Of The Missing Data From The Continuous Counts Of Road Traffic
by: Spławińska M.
Published: (2015-03-01) -
An adaptive k nearest neighbour method for imputation of missing traffic data based on two similarity
by: Yang Wang, et al.
Published: (2020-06-01) -
Traffic Data Imputation and Prediction: An Efficient Realization of Deep Learning
by: Junhui Zhao, et al.
Published: (2020-01-01) -
Clustering of Remote Sensing Data Based on K-Nearest Neighbors Sampling With Non-Evenly Division
by: Lan Liu, et al.
Published: (2019-01-01)