Study on Traffic Characteristics Based on License Plate Data

With the development of Intelligent Transportation Systems (ITS), traffic data collection systems that include license plate regulation (LPR) have updated dramatically. The license plate data can now cover a large number of license plates and their corresponding spatial-temporal information. This paper summarizes how to mine traffic characteristics from the perspectives of both single detectors and multiple detectors. The case study was performed in Shenzhen, China with data from 2009 and 2013; preprocessing and algorithmic computation was completed. The research makes some contrasting analyses -- including both traffic volumes and trip information -- making the study practical for the analysis of urban traffic characteristics while offering a new analysis method.


  • English

Media Info

  • Media Type: Web
  • Features: References;
  • Pagination: pp 627-639
  • Monograph Title: CICTP 2014: Safe, Smart, and Sustainable Multimodal Transportation Systems

Subject/Index Terms

Filing Info

  • Accession Number: 01532949
  • Record Type: Publication
  • ISBN: 9780784413623
  • Files: TRIS, ASCE
  • Created Date: Jul 2 2014 3:02PM