Vehicle trajectory reconstruction from automatic license plate reader data

Using perception data to excavate vehicle travel information has been a popular area of study. In order to learn the vehicle travel characteristics in the city of Ruian, the authors developed a common methodology for structuring travelers’ complete information using the travel time threshold to recognize a single trip based on the automatic license plate reader data and built a trajectory reconstruction model integrated into the technique for order preference by similarity to an ideal solution and depth-first search to manage the vehicles’ incomplete records phenomenon. In order to increase the practicability of the model, the authors introduced two speed indicators associated with actual data and verified the model’s reliability through experiments. The authors' results show that the method would be affected by the number of missing records. The model and results of this work will allow the authors to further study vehicles’ commuting characteristics and explore hot trajectories.

• Record URL:
  • https://doi.org/10.1177/1550147718755637
• Record URL:
  • https://journals.sagepub.com/doi/abs/10.1177/1550147718755637
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/15501477
• Supplemental Notes:
  • © 2018 Haiyang Yu et al.
• Authors:
  • Yu, Haiyang
  • Yang, Shuai
  • Wu, Zhihai
  • Ma, Xiaolei
• Publication Date: 2018

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References; Tables;
• Pagination: 1550147718755637
• Serial:
  • International Journal of Distributed Sensor Networks
  • Volume: 14
  • Issue Number: 2
  • Publisher: Sage Publications Limited
  • ISSN: 1550-1477
  • EISSN: 1550-1477
  • Serial URL: https://journals.sagepub.com/home/dsn

Subject/Index Terms

• TRT Terms: Automatic license plate readers; Commuting; Trajectory; Travel patterns; Travel time
• Geographic Terms: Rui'an (China)
• Subject Areas: Data and Information Technology; Highways; Planning and Forecasting; Vehicles and Equipment;

Filing Info

• Accession Number: 01705096
• Record Type: Publication
• Files: TRIS
• Created Date: May 21 2019 11:06AM