Traffic State Recognition of Intersection Based on Image Model and PCA Hashing
The premise of implementing an effective traffic control strategy is the accurate traffic state recognition. In the existing study, traffic state recognition methods were processed by using statistical characteristics and long-term scale detection of field traffic data. Hence, the dynamic characteri...
Saved in:
Main Authors: | Li-li Zhang, Li Wang, Qi Zhao |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2020-01-01
|
Series: | Journal of Advanced Transportation |
Online Access: | http://dx.doi.org/10.1155/2020/3828395 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
PEM-PCA: A Parallel Expectation-Maximization PCA Face Recognition Architecture
by: Kanokmon Rujirakul, et al.
Published: (2014-01-01) -
Evaluation of the DWT-PCA/SVD Recognition Algorithm on Reconstructed Frontal Face Images
by: Louis Asiedu, et al.
Published: (2021-01-01) -
Adaptive Traffic Signal Control Model on Intersections Based on Deep Reinforcement Learning
by: Duowei Li, et al.
Published: (2020-01-01) -
Human-Vehicle Intersection Traffic Lights Timing Optimization Research
by: Wen Li, et al.
Published: (2022-01-01) -
Perceptual Hashing-Based Robust Image Authentication Scheme for Wireless Multimedia Sensor Networks
by: Hongxia Wang, et al.
Published: (2013-04-01)