• DocumentCode
    981561
  • Title

    Error Analysis and Performance Evaluation of a Future-Trajectory-Based Cooperative Collision Warning System

  • Author

    Huang, Jihua ; Tan, Han-Shue

  • Author_Institution
    Univ. of California, Berkeley, CA
  • Volume
    10
  • Issue
    1
  • fYear
    2009
  • fDate
    3/1/2009 12:00:00 AM
  • Firstpage
    175
  • Lastpage
    180
  • Abstract
    This paper focuses on the robustness and reliability of a future-trajectory-based cooperative collision warning system (CCWS), which estimates and communicates vehicle positions and predicts and processes future trajectories for collision decision making. The feasibility of the system design has been demonstrated in previous work, and this paper analyzes the error propagation and its impact on detection performance. The reliability of the CCWS heavily depends on the reliability of the differential Global Positioning System (DGPS)-based positioning system and the reliability of intervehicle communication. This paper uses the Kalman filter technique to statistically characterize the errors in position estimation and trajectory prediction, incorporates communication errors as part of the prediction error, and accordingly determines the probability of conflicts and the quality of the detection performance. Results with experimental data are presented to illustrate the error propagation and to demonstrate the reliability of the system.
  • Keywords
    Global Positioning System; Kalman filters; automated highways; error statistics; road accidents; road safety; road vehicles; DGPS-based positioning system; Kalman filter technique; automated highway system; collision decision making; differential Global Positioning System; error propagation analysis; future-trajectory-based cooperative vehicle collision warning system design; intervehicle communication reliability; performance evaluation; vehicle safety; Collision warning systems (CWSs); Global Positioning System (GPS); Kalman filter; cooperative collision warning system (CCWS); future trajectory prediction; intervehicle communication; vehicle safety;
  • fLanguage
    English
  • Journal_Title
    Intelligent Transportation Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1524-9050
  • Type

    jour

  • DOI
    10.1109/TITS.2008.2006782
  • Filename
    4668453