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Traffic State Recognition of Intersection Based on Image Model and PCA Hashing
Joint Authors
Source
Journal of Advanced Transportation
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-06-15
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
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 characteristics and subtle changes in traffic flow were easy to overlook.
At present, more and more advanced traffic detection technology provides reliable and accurate data for measuring and distinguishing the state of urban road traffic, such as the cooperative vehicle-infrastructure system, wide-area radar technology, and 5G technology.
This study proposes a novel method called HTSI (High Precision Traffic State Identification Method), which is based on the advanced detection technology in traffic state recognition at the intersection: The raw data used for intersection traffic state recognition is high-precision detection data of tracking characteristics, which make the data look like a picture of the intersection at God’s perspective.
To this end, we construct an image model for intersections and implement image feature extraction in a way that is different from traditional image processing.
Then, the traffic state recognition problem at the intersection is translated into an image searching problem with tags.
The image searching is realized by the hashing algorithm.
Finally, the comprehensive experiments prove that the proposed method is more accurate and finer than other methods.
American Psychological Association (APA)
Zhang, Li-li& Wang, Li& Zhao, Qi. 2020. Traffic State Recognition of Intersection Based on Image Model and PCA Hashing. Journal of Advanced Transportation،Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1175561
Modern Language Association (MLA)
Zhang, Li-li…[et al.]. Traffic State Recognition of Intersection Based on Image Model and PCA Hashing. Journal of Advanced Transportation No. 2020 (2020), pp.1-11.
https://search.emarefa.net/detail/BIM-1175561
American Medical Association (AMA)
Zhang, Li-li& Wang, Li& Zhao, Qi. Traffic State Recognition of Intersection Based on Image Model and PCA Hashing. Journal of Advanced Transportation. 2020. Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1175561
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1175561