Learning-Based Lane-Change Behaviour Detection for Intelligent and Connected Vehicles
Joint Authors
Zheng, Hongjiang
Chen, Kang
Du, Luyao
Chen, Wei
Pei, Zhonghui
Fu, Shuaizhi
Wu, Di
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-10-01
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
Detection of lane-change behaviour is critical to driving safety, especially on highways.
In this paper, we proposed a method and designed a learning-based detection model of lane-change behaviour in highway environment, which only needs the vehicle to be equipped with velocity and direction sensors or each section of the highway to have a video camera.
First, based on the Next Generation Simulation (NGSIM) Interstate 80 Freeway Dataset, we analyzed the relevant features of lane-changing behaviour and preprocessed the data and then used machine learning algorithms to select the suitable features for lane-change detection.
According to the result of feature selection, we chose the lateral velocity of the vehicle as the lane-change feature and used machine learning algorithms to learn the lane-change behaviour of the vehicle to detect it.
From the dataset, continuous data of 14 vehicles with frequent lane changes were selected for experimental analysis.
The experimental results show that the designed KNN lane-change detection model has the best performance with detection accuracy between 89.57% and 100% on the selected dataset, which can well complete the vehicle lane-change detection task.
American Psychological Association (APA)
Du, Luyao& Chen, Wei& Pei, Zhonghui& Zheng, Hongjiang& Fu, Shuaizhi& Chen, Kang…[et al.]. 2020. Learning-Based Lane-Change Behaviour Detection for Intelligent and Connected Vehicles. Computational Intelligence and Neuroscience،Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1138896
Modern Language Association (MLA)
Du, Luyao…[et al.]. Learning-Based Lane-Change Behaviour Detection for Intelligent and Connected Vehicles. Computational Intelligence and Neuroscience No. 2020 (2020), pp.1-13.
https://search.emarefa.net/detail/BIM-1138896
American Medical Association (AMA)
Du, Luyao& Chen, Wei& Pei, Zhonghui& Zheng, Hongjiang& Fu, Shuaizhi& Chen, Kang…[et al.]. Learning-Based Lane-Change Behaviour Detection for Intelligent and Connected Vehicles. Computational Intelligence and Neuroscience. 2020. Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1138896
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1138896