Chapter
Aug 30, 2023
An Automatic Labeling Scheme of Lane-Changing Maneuvers for Vehicle Trajectory Data Sets
Authors: Kaijie Luo [email protected], Shanglu He [email protected], and Mao Ye [email protected]Author Affiliations
Publication: CICTP 2023
ABSTRACT
Labeling out lane-changing maneuvers is a vital prerequisite to further potential research on vehicle behaviors in trajectories. However, there is no general and appropriate scheme to eliminate this obstacle. An automatic labeling scheme is, therefore, proposed in this paper to fill this gap, which can identify the starting and ending points of a consecutive lane-changing maneuver. This paper first distinguishes lane-changing scenarios with “single” and “multiple” and then designs a uniform algorithm for automatic labeling that merely relies on vehicle coordinates and time stamps. Furthermore, the optimal parameter group of the algorithm is found, and a comparative analysis is conducted to validate the applicability of the proposed scheme. The results show that there are no error labels in the proposed scheme, such as discontinuity, mislabeling, over-labeling, and missed labeling. The proposed automatic labeling scheme for lane-changing maneuvers has high accuracy.
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Published online: Aug 30, 2023
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ASCE Technical Topics:
- Algorithms
- Automatic identification systems
- Automation and robotics
- Comparative studies
- Detection methods
- Driver behavior
- Engineering fundamentals
- Highway transportation
- Information management
- Infrastructure
- Mathematics
- Methodology (by type)
- Parameters (statistics)
- Research methods (by type)
- Statistics
- Systems engineering
- Traffic engineering
- Transportation engineering
- Vehicles
Authors
Affiliations
1School of Automation, Nanjing Univ. of Science and Technology, Nanjing, China. Email: [email protected]
2School of Automation, Nanjing Univ. of Science and Technology, Nanjing, China. Email: [email protected]
3School of Automation, Nanjing Univ. of Science and Technology, Nanjing, China. Email: [email protected]
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