Traffic Flow Detection at Road Intersections Based on K-Means and NURBS Trajectory Clustering
Joint Authors
Song, Jun-fang
Wang, Shu-yu
Zhao, Hai-li
Source
Mathematical Problems in Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-11-17
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
In view of the variety and occlusion of vehicle target motion on the urban intersection, it is difficult to accurately detect the traffic flow parameters in all directions and categories of the intersection, so an improved k-means trajectory clustering method based on NURBS curve fitting is designed to obtain the traffic flow parameters.
Firstly, the B-spline quadratic interpolation function is used to fit the smooth NURBS curve of vehicle trajectory; secondly, K-means clustering is used to measure the minimum distance, and the location of the first and last end points of the vehicle trajectory is used to realize the automatic division of the intersection area; finally, according to the intersection area where the start and end points of vehicle trajectory belong, respectively, the moving mode of a vehicle is determined, and the traffic flow parameters are classified and counted.
Experiments show that the method has high accuracy and simple algorithm, which can meet the application requirements of intelligent transportation.
It can provide effective data for traffic congestion analysis and lane occupancy estimation, and it is an important parameter for dynamic time setting of intersection information lights.
American Psychological Association (APA)
Song, Jun-fang& Wang, Shu-yu& Zhao, Hai-li. 2020. Traffic Flow Detection at Road Intersections Based on K-Means and NURBS Trajectory Clustering. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-6.
https://search.emarefa.net/detail/BIM-1193178
Modern Language Association (MLA)
Song, Jun-fang…[et al.]. Traffic Flow Detection at Road Intersections Based on K-Means and NURBS Trajectory Clustering. Mathematical Problems in Engineering No. 2020 (2020), pp.1-6.
https://search.emarefa.net/detail/BIM-1193178
American Medical Association (AMA)
Song, Jun-fang& Wang, Shu-yu& Zhao, Hai-li. Traffic Flow Detection at Road Intersections Based on K-Means and NURBS Trajectory Clustering. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-6.
https://search.emarefa.net/detail/BIM-1193178
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1193178