Delay Estimation Model Based on Low-Sampling-Rate Floating Car Data

In the light that floating car data (FCD) in real operations are of low sampling rate, a delay estimation method at intersections based on low-sampling-rate floating car data is proposed. This study analyzes running state differences of vehicles on different road units, delimits the affected area of an intersection and expedites travel speed of a vehicle on a specific road, using two nearest global positioning system (GPS) points outside the affected area to calculate time stamps of a vehicle entering and leaving the affected area. Taking Guangzhou as a case study, a typical intersection is chosen to evaluate the performance of the proposed method. Extensive experimental results have demonstrated the better potential of low-sampling-rate FCD in delay estimation, with 85% of calculating results within 10s in terms of absolute error.


  • English

Media Info

  • Media Type: Web
  • Features: References;
  • Pagination: pp 387-395
  • Monograph Title: CICTP 2014: Safe, Smart, and Sustainable Multimodal Transportation Systems

Subject/Index Terms

Filing Info

  • Accession Number: 01536356
  • Record Type: Publication
  • ISBN: 9780784413623
  • Files: TRIS, ASCE
  • Created Date: Jul 2 2014 3:02PM