Reconstructing the Traffic State by Fusion of Heterogeneous Data

This paper presents an advanced interpolation method for estimating smooth spatiotemporal profiles for local highway traffic variables such as flow, speed and density. The method is based on the “adaptive smoothing method” which takes as input stationary detector data as typically collected by traffic control centers. The authors generalize this method to allow for fusion with floating car data or other traffic information. The resulting profiles display transitions between free and congested traffic in great detail, as well as fine structures such as stop-and-go waves. The authors establish the accuracy and robustness of the method and demonstrate three potential applications: (1) compensation for gaps in data caused by detector failure; (2) separation of noise from dynamic traffic information; and (3) the fusion of floating car data with stationary detector data.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/10939687
• Authors:
  • Treiber, Martin
  • Kesting, Arne
  • Wilson, R Eddie
• Publication Date: 2011-8

Language

• English

Media Info

• Media Type: Print
• Features: Figures; References;
• Pagination: pp 408-419
• Serial:
  • Computer-Aided Civil and Infrastructure Engineering
  • Volume: 26
  • Issue Number: 6
  • Publisher: Blackwell Publishing
  • ISSN: 1093-9687
  • Serial URL: http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1467-8667

Subject/Index Terms

• TRT Terms: Data fusion; Floating car data; Highway traffic control; Real time information; Traffic control centers; Traffic flow; Traffic speed
• Subject Areas: Highways; Operations and Traffic Management; I73: Traffic Control;

Filing Info

• Accession Number: 01350367
• Record Type: Publication
• Files: TRIS
• Created Date: Aug 24 2011 11:28AM