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
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