Vehicle trajectory reconstruction for intersections: an integrated wavelet transform and Savitzky-Golay filter approach

Reconstructing vehicle trajectories is an essential step in obtaining high-precision vehicle trajectory data owing to observation errors. Although considerable efforts have been made to reconstruct trajectories on road segments, it is still challenging to reconstruct two-dimensional vehicle trajectories at intersections. In this study, a three-step vehicle trajectory reconstruction method for intersections was proposed to correct abnormal velocities and direction angles in raw trajectories. First, outliers were identified by wavelet transform. They were then filtered out and interpolated using Gaussian kernel-based locally weighted linear regression. Finally, the trajectories were smoothed using a Savitzky-Golay filter. The proposed method was validated using empirical trajectory data collected at 15 intersections in Shanghai, China. The results demonstrate that the proposed trajectory reconstruction method performs well in terms of trajectory rationality and consistency. The mean outlier rate and root mean square error of the reconstructed trajectories are 3% and 0.821 m, respectively.

• Record URL:
  https://doi.org/10.1080/23249935.2022.2163207
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/23249935
• Supplemental Notes:
  • © 2024 Hong Kong Society for Transportation Studies Limited. Abstract reprinted with permission of Taylor & Francis.
• Authors:
  • Zhao, Jing
  • Yang, Xiaoliang
  • Zhang, Cheng
• Publication Date: 2024-5

Language

• English

Media Info

• Media Type: Web
• Features: Figures; References;
• Pagination: 2163207
• Serial:
  • Transportmetrica A: Transport Science
  • Volume: 20
  • Issue Number: 2
  • Publisher: Taylor & Francis
  • ISSN: 2324-9935
  • EISSN: 2324-9943
  • Serial URL: http://www.tandfonline.com/loi/ttra21

Subject/Index Terms

• TRT Terms: Intersections; Trajectory; Vehicle trajectories; Velocity; Wavelets
• Geographic Terms: Shanghai (China)
• Subject Areas: Highways; Operations and Traffic Management; Vehicles and Equipment;

Filing Info

• Accession Number: 01909860
• Record Type: Publication
• Files: TRIS
• Created Date: Feb 26 2024 3:42PM