APPLICATION OF PROBE VEHICLE DATA FOR REAL-TIME TRAFFIC STATE ESTIMATION AND SHORT-TERM TRAVEL TIME PREDICTION ON A FREEWAY

Traffic information from probe vehicles has great potential for improving the estimation accuracy of traffic situations, especially where no traffic detector is installed. A method for dealing with probe data along with conventional detector data to estimate traffic states is proposed in this paper. The probe data were integrated into the observation equation of the Kalman filter, in which state equations are represented by a macroscopic traffic flow model. Estimated states were updated with information from both stationary detectors and probe vehicles. The method was tested under several traffic conditions based on hypothetical data, giving considerably improved estimation results compared to those estimated without probe data. Finally, the application of the proposed method was extended to the estimation and short-term prediction of travel time. Travel times were obtained indirectly through the conversion of speeds estimated/predicted by the proposed method. Experimental results show that the performance of travel time estimation/prediction is comparable to those of some existing methods

• Supplemental Notes:
  • Publication Date: 2003. Transportation Research Board, Washington DC. Remarks: Paper prepared for presentation at the 82nd annual meeting of the Transportation Research Board, Washington, D.C., January 2003. Format: CD ROM
• Corporate Authors:

  University of California, Berkeley

  California PATH Program, Institute of Transportation Studies
  Richmond Field Station, 1357 South 46th Street
  Richmond, CA  United States  94804-4648

  California Department of Transportation

  1120 N Street
  Sacramento, CA  United States  95814

  University of California, Berkeley

  Department of Electrical Engineering and Computer Sciences
  Berkeley, CA  United States  94720
• Authors:
  • NANTHAWICHIT, CHUMCHOKE
  • Nakatsuji, Takashi
  • Suzuki, Hironori
• Conference:
  • Transportation Research Board 82nd Annual Meeting
  • Location: Washington DC, United States
  • Date: 2003-1-12 to 2003-1-16
• Date: 2003

Language

• English

Media Info

• Pagination: 17 p.

Subject/Index Terms

• TRT Terms: Kalman filtering; Probe vehicles; Traffic estimation; Travel time
• Subject Areas: Vehicles and Equipment;

Filing Info

• Accession Number: 00938748
• Record Type: Publication
• Source Agency: UC Berkeley Transportation Library
• Files: PATH, ATRI, STATEDOT
• Created Date: Mar 3 2003 12:00AM